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Company Name- WINIT

Location- Hyderabad

Position- Data Scientist

Experience- 0-1 year

We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL. 

Responsibilities:

• Develop and implement machine learning and deep learning algorithms for image recognition tasks.
• Utilize computer vision techniques to extract meaningful information from images.
• Collaborate with software engineers to integrate image recognition models into existing systems.
• Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
• Perform feature engineering to extract relevant features for optimization algorithms.
• Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
• Develop and optimize SQL queries to extract and analyze data from databases.
• Participate in the end-to-end development lifecycle, from problem definition to deployment.
• Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.

Requirements:

• Bachelor's or Master's degree in computer science, Data Science, or related field.
• Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
• Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
• Solid understanding of SQL for data manipulation and extraction.
• Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

*Stay updated on machine learning/deep learning/reinforcement learning/Generative AI/Time series forecasting/Operations Research

About our company:

Please visit our company website at: www.winitsoftware.com

Observability Engineer (AppDynamics)

Hyderabad

Exp: 8+years of exp

Mandate Skills: AppDynamics, Splunk, Python (Scripting knowledge)

Primary Skill Set:

• AppDynamics administration
• SPLOC administration
• Enterprise monitoring and observability
• Application performance monitoring
• Alerting and event management
• Monitoring strategy and design
• Platform configuration and governance
• Python scripting
• Monitoring automation

Secondary Skills:

• Glassbox monitoring
• Customer journey observability
• GenAI concepts for operations       
• Log, metric, and trace telemetry
• Dashboarding and visualization

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

The Role:

We are seeking a highly skilled Sr Embedded Software Engineer (Python & C++) to manage and improve the software development lifecycle for device firmware systems. The primary focus of this role is to ensure firmware operational reliability, fail-safe implementation, certification compliance, and robust production deployment.

This role is ideal for an engineer experienced in system-level software, firmware validation, testing automation, and production readiness — but not focused on low-level hardware design.

Experience: 6-10 years

Job Location: Hyderabad

Job Type: Permanent

CORE FOCUS AREAS

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Maintain certification compliance across firmware releases

• Drive robust, repeatable production deployment pipelines

• Support field debugging and OTA update validation

IDEAL CANDIDATE PROFILE

• Strong hands-on experience in Python and C++ development

• Background in system-level software and firmware validation

• Experience with testing automation and production readiness

• Comfortable working closely with embedded engineers

• Not required to have low-level hardware design expertise

KEY RESPONSIBILITIES

FIRMWARE OPERATIONAL STABILITY

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Monitor watchdog systems, timeout handling & safe state transitions

• Work closely with embedded engineers to validate firmware behavior

PYTHON & C++ DEVELOPMENT

• Develop firmware communication layers & device control applications

• Build diagnostic tools and test automation frameworks

• Optimize performance and memory handling in C++ applications

• Develop production-ready Python tools for deployment, logging & validation

FAIL-SAFE & SAFETY IMPLEMENTATION

• Implement safe boot validation, error recovery & redundancy logic

• Build communication retry systems & safe shutdown protocols

• Design state machines for controlled device operation

• Ensure safe-state transitions on power, comms or hardware failure

PRODUCTION DEPLOYMENT & VALIDATION

• Create secure and repeatable firmware deployment pipelines

• Implement boot image validation, signature verification & rollback

• Develop health monitoring and diagnostic utilities & CI/CD Pipelines

• Support field debugging and OTA update validation

Linux Environment

• Work in Linux-based environments for firmware development, debugging, and deployment — including shell scripting, process/service management, and system diagnostics.

• Own unit testing, integration testing & production release management

• Ensure code quality and compliance with internal standards

IoT + AI

Building the tech behind India's Reverse Vending Machines

SUCCESS METRICS

• Firmware reliability — stable, uninterrupted operation in production environments

• Fail-safe coverage — validated fallback logic, redundancy & safe-state transitions

• Linux Environment - Use Linux for development till deployment

• Deployment success rate — secure, repeatable pipelines with clean rollbacks

• Code & release quality — test coverage, code review discipline & CI/CD health

• Field performance — OTA update success and turnaround on field debugging

Role Overview

As an AI Quality Engineer, you will be the strategic lead for quality within our AI-driven product ecosystem. You will be responsible for validating non-deterministic AI outputs and microservices. You will use tools like Claude Code, Cursor, and Gemini, moving from manual oversight to high-velocity, AI-augmented delivery. You will ensure that our AI products are not only functional but reliable, ethical, and scalable.

Core Responsibilities

• AI-First Test Strategy & Planning: Define and implement the end-to-end test strategy for major AI product areas.
• AI-Augmented Automation: You will adopt Cursor and Claude Code to refactor existing frameworks, develop new frameowrk, migrate legacy framework to modern technologies and automate the creation of test suites.
• Defect Management & Root Cause Analysis: You will perform Root Cause Analysis, submit bugs and ensure their timely resolution.
• Documentation & Reporting: You will document your work and report on quality metrics to stakeholders.

Required Qualifications

• AI Toolchain Mastery: Expert-level experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.
• SDLC Experience: Proven track record of product delivery in an Agile environment with a focus on CI/CD (ADO and GitHub Actions).
• Technical Stack: Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Selenium, Playwright, Nunit, PyTest).
• Autonomy: Ability to create cases, execute tests manually and automate with minimal oversight.
• Education/Experience: 2-3 years in Quality Engineering with a focus on Web and Mobile Applications testing.

Role Description

We're looking for a Principal Engineer to own the architecture and technical direction of our core platform. You'll operate at the intersection of high-scale distributed systems and fintech-grade security and compliance, turning fast-growing but increasingly complex product surfaces into resilient, extensible platforms. This is a hands-on technical leadership role: you will design and review critical systems, set engineering standards across teams, and mentor senior engineers, while staying close enough to the code to unblock the hardest problems yourself.

Key Responsibilities

• Own end-to-end architecture for high-concurrency, high-availability platform services, from design through production operability.
• Define and drive adoption of architectural patterns (event-driven microservices, multi-tenant SaaS, distributed locking/coordination) across multiple engineering teams.
• Partner with Product, Risk/Compliance, and cross-functional engineering teams (Payments, Onboarding, DevOps) to translate business goals into platform capabilities.
• Establish and champion engineering best practices: blameless post-mortems, proactive health monitoring, and structural fixes over firefighting.
• Directly mentor senior and staff-level engineers; act as a force multiplier for technical decision-making across the org.
• Drive down operational toil through automation, self-service tooling, and platform abstractions that let other teams move faster independently.
• Represent engineering in architecture reviews, technical due-diligence, and cross-org planning.

Qualifications

• 7+ years of professional software engineering experience, with a track record of owning systems at scale in production.
• Proven experience architecting and scaling backend platforms handling significant user growth (e.g., 10x-20x) or transaction volume, ideally in fintech, payments, or another regulated domain.
• Deep expertise in distributed systems design: microservices, async workflow orchestration (e.g., Temporal or equivalent), event-driven architecture, and data consistency trade-offs.
• Strong hands-on experience with at least one of Java or Python, and the ability to review and guide code across languages/stacks.
• Experience with cloud infrastructure and platform tooling (AWS, Kubernetes, Terraform, CI/CD pipelines) and observability stacks (Prometheus, Grafana, Datadog, or similar).
• Demonstrated ability to lead cross-functional engineering initiatives and mentor engineers.
• Excellent written and verbal communication; comfortable driving alignment across engineering, product, and compliance stakeholders.
• Experience working with enterprise ERP integrations (SAP, Oracle, or similar) is a plus, especially around master data sync, financial workflows.
• Hands-on experience with agentic development is required — you regularly build with and orchestrate AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot Agent Mode) as part of your day-to-day engineering workflow, not just as an occasional autocomplete tool.
• Working knowledge of ETL and data pipeline design is a plus; hands-on experience with AWS Glue is preferred. SFTP/EDI, webhooks, API gateways, batch reconciliation

Job Description

Qualified applicants with experience in the following role or comparable job titles are encouraged to apply:

• Audio AI Engineer
• Speech AI Engineer
• Audio Software Engineer
• Speech Processing Engineer
• Audio Machine Learning Engineer
• Machine Learning Engineer – Speech
• AI Engineer – Audio
• Speech Processing Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• Speech Recognition Engineer
• ASR Engineer
• Automatic Speech Recognition Engineer
• Voice AI Engineer
• Speech Scientist
• Audio Research Engineer
• Audio Systems Engineer
• Audio Software Engineer
• Audio R&D Engineer
• Speech Research Engineer
• Audio DSP Engineer
• Voice Processing Engineer
• Acoustic AI Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• AI Engineer – Speech
• AI Engineer – Audio

Requirement:

a) Working on Design, Development, testing and deployment of different speech enhancement products using frameworks like PyTorch and TensorFlow.

b) Working on enhancing existing speech enhancement products w.r.t

performance, low latency and less computation.

c) Work on improvement of adapting the model to multi channels.

d) Should be self-motivated to learn and explore new areas and able to work independently and contribute

Experience

a) Good understanding of signal processing and machine learning.

b) Hands-on experience with Deep Learning techniques like CNNs, RNNs, LSTMs, Transformers, etc., for speech processing is essential.

c) Good understanding of: Linear algebra, Optimization techniques, Statistics and pattern recognition

d) Minimum 3 years of work experience in the Audio/Speech domain

e) Good programming skills in C/C++, Python, AI/ML frameworks.

Qualification

Bachelor's / Master’s Degree from AI/ML, CSE, ECE, or PhD

Job Description

Automation Developer (IBM MQ Migration Automation)

Automation Developer - MQ Migration Solutions

Location: Bangalore & Hyderabad

Experience: 8+ Years

Budget- 26 LPA

Job Summary

We are seeking an experienced Automation Developer to design, develop, and enhance automation solutions that support IBM MQ Queue Manager migration initiatives. The role focuses on integrating AI-powered automation tools with existing migration platforms and processes to create a unified, scalable, and end-to-end migration framework.

The ideal candidate will possess strong software development, scripting, and automation expertise, combined with experience in enterprise infrastructure, DevOps practices, and IBM MQ technologies.

Mandate Skills: Python, IBM MQ + Automation, API development, Shell/PowerShell scripting, CI/CD, Ansible/Terraform, AI automation exposure

Key Responsibilities

Design and develop automation solutions supporting IBM MQ migration activities.

Integrate multiple automation tools, scripts, and workflows into a unified migration framework.

Develop and maintain Python, Shell, and PowerShell automation scripts.

Create APIs and connectors to enable seamless orchestration and tool integration.

Automate migration discovery, assessment, execution, validation, and reporting processes.

Implement AI-assisted automation capabilities to improve migration efficiency and decision-making.

Develop reusable automation components and frameworks to support future migration initiatives.

Collaborate with MQ administrators, solution architects, infrastructure teams, and business stakeholders.

Troubleshoot and resolve automation-related issues across migration projects.

Develop and maintain technical documentation, deployment guides, and operational runbooks.

Support CI/CD pipeline implementation and automated deployment processes.

Ensure automation solutions adhere to enterprise security, compliance, and operational standards.

Required Technical Skills

Primary Skills

Python Development

Shell Scripting (Linux/Unix)

PowerShell Scripting

REST API Development and Integration

JSON/XML Data Processing

Git/GitHub Version Control

Automation & DevOps

Workflow Automation

Jenkins, Azure DevOps, or GitHub Actions

CI/CD Pipeline Development

Infrastructure as Code concepts

Ansible or Terraform (Preferred)

IBM MQ Skills

IBM MQ Queue Manager configuration and administration

MQ migration and deployment concepts

Queue Manager migration strategies

IBM MQ automation and scripting

Required Experience

5+ years of experience in automation development.

Strong programming experience with Python and scripting technologies.

Hands-on experience designing and implementing automation solutions and APIs.

Experience integrating multiple automation tools into unified workflow solutions.

Solid understanding of software development life cycle (SDLC) and DevOps practices.

Experience working with enterprise infrastructure and middleware technologies.

Experience in Agile/Scrum delivery environments.

Exposure to AI-assisted automation technologies is highly desirable.

Prior experience with IBM MQ administration or migration projects is preferred.

Key Competencies

Job Summary

We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications.
• Develop RESTful APIs using Flask and/or Django.
• Build scalable data processing pipelines using PySpark.
• Write efficient SQL queries, stored procedures, and optimize database performance.
• Integrate applications with databases and third-party services.
• Collaborate with cross-functional teams to gather and implement business requirements.
• Troubleshoot, debug, and enhance application performance.
• Follow coding standards, perform code reviews, and maintain technical documentation.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Flask and/or Django.
• Experience with PySpark for large-scale data processing.
• Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
• Understanding of REST APIs and microservices architecture.
• Experience with Git/version control.
• Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes.
• Knowledge of CI/CD pipelines.
• Experience with Airflow or other workflow orchestration tools.
• Understanding of Agile/Scrum methodologies.

Job Title: AI Developer

Location: Bangalore / Hyderabad

Experience: 5–7 Years

Notice Period: Immediate to 15 days Preferred

About the Role

We are looking for a skilled AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve real-world business problems. You will work closely with data scientists, engineers, and business stakeholders to build scalable AI-powered applications and pipelines.

Key Responsibilities

• Design and develop Machine Learning models, Deep Learning architectures, and NLP solutions for production use.
• Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Integrate AI/ML models into existing applications and APIs.
• Fine-tune and evaluate Large Language Models (LLMs) for business-specific use cases.
• Collaborate with data engineers to ensure high-quality training data.
• Monitor model performance in production and implement retraining strategies.
• Research and evaluate emerging AI frameworks, tools, and technologies.
• Document models, experiments, and technical decisions.
• 
  

Required Skills & Experience

• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with NLP frameworks such as Hugging Face, spaCy, and LangChain.
• Familiarity with LLMs and Prompt Engineering (OpenAI, Anthropic, Gemini, etc.).
• Experience deploying models using FastAPI or Flask (REST APIs).
• Strong understanding of Data Structures, Algorithms, and Statistics.
• Experience with AWS, Azure, or GCP and MLOps tools.
• Experience with Vector Databases such as Pinecone, Weaviate, or FAISS is an added advantage.

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

We are looking for Senior AI Engineers with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows.

You’ll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals.

What is this position about?

• Design, develop, and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.

Qualifications

• 4+ years of experience in building and deploying AI/ML or GenAI solutions in production environments.
• Strong experience with at least one major cloud platform (Azure, AWS, or GCP) for building and deploying AI/ML solutions.
• Experience with services such as Azure ML, AWS Bedrock/SageMaker, GCP Vertex AI, Databricks, or equivalent AI/ML platforms is preferred.
• Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Hands-on experience with RAG architecture, prompt engineering, and LLM-based application development.
• Experience with MLOps/LLMOps pipelines, model tracking, observability, and CI/CD using tools such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, MLflow, or equivalent platforms.
• Familiarity with enterprise data integration and orchestration tools such as Azure Data Factory, Synapse, Databricks, Airflow, Kafka, or equivalent distributed data platforms.
• Strong backend engineering and API development experience using FastAPI, Flask, Node.js, or similar frameworks, with ability to build scalable AI-powered services and microservices.
• Excellent problem-solving, debugging, and collaboration skills.

Good to Have

• Experience building production-grade RAG systems using vector databases such as Pinecone, FAISS, ChromaDB, pgvector, Milvus, or Azure AI Search.
• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, MCP, or Google ADK.
• Familiarity with AI observability and evaluation tools such as LangSmith, Langfuse, RAGAS, MLflow, App Insights, or Prometheus/Grafana.
• Experience deploying AI systems using Docker, Kubernetes, serverless architectures, or container orchestration platforms.

Additional Information

• Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. 
• Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
• Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
• Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
• Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

Role Summary

We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.

Key Responsibilities

• Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
• Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
• Design and implement RAG pipelines, vector search solutions, and embedding‑based retrieval systems.
• Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
• Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
• Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods.
• Integrate LLMs with enterprise applications, APIs, and automation workflows.
• Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
• Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.

Required Skills & Experience

• 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
• 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
• 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
• Strong proficiency in Python and ML libraries (Scikit‑learn, Pandas, NumPy).
• Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
• Familiarity with building scalable APIs using FastAPI, Flask, or Django.
• Hands‑on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
• Strong understanding of REST APIs, microservices, and integration patterns.
• Experience with Git, CI/CD, Docker, and model deployment best practices.

FORWARD DEPLOYED ENGINEER (FDE)

Engineering · Customer Solutions

Department: Engineering / Customer Solutions

Location: Hyderabad, India (on-site with customer travel as needed)

Employment Type: Full-Time

Reports To: Head of Customer Engineering

ABOUT KNACKLABS.AI

knacklabs.ai builds AI-powered products and platforms that help organizations turn complex workflows into simple, reliable

systems. We work closely with customers to deploy real solutions to real problems — not just ship features. As we scale, we're

looking for engineers who are as comfortable in front of a customer as they are in a codebase.

ROLE OVERVIEW

As a Forward Deployed Engineer at knacklabs.ai, you will sit at the intersection of engineering and customer success. You'll

embed directly with customer teams to understand their workflows, rapidly prototype and ship solutions using our platform, and

turn those learnings into product improvements. This role is ideal for engineers who want high ownership, fast feedback loops,

and direct exposure to how their code changes a customer's business.

KEY RESPONSIBILITIES

● Customer Embedding: Work directly with customers to understand their business processes, pain points, and technical environments.

● Solution Building: Design, build, and deploy custom products, ERP Systems, workflows automation and product development.

● Product Feedback Loop: Turn one-off customer builds into reusable, generalizable features by working closely with

the core product and engineering teams.

● Rapid Prototyping: Write production-quality code under real deadlines, balancing speed with maintainability.

● Technical Troubleshooting: Debug issues across the stack — from data pipelines to APIs to front-end integrations —

in live customer environments.

● Ongoing Ownership: Own the technical relationship with select customers post-deployment, ensuring solutions remain

stable and scale with their needs.

● Travel: Travel to customer sites as needed (expected occasionally, varies by account).

REQUIRED QUALIFICATIONS

● 6-10 years of professional software engineering experience, ideally including customer-facing or implementation work.

● Strong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full stack.

● Experience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).

● Demonstrated ability to work independently in ambiguous, fast-changing environments.

● Strong communication skills — able to explain technical tradeoffs clearly to both engineers and non-technical stakeholders.

● A bias toward action: comfortable shipping a working solution today rather than a perfect one next month.

PREFERRED QUALIFICATIONS

● Prior experience as a Forward Deployed Engineer, Solutions Engineer, or in a consulting/implementation role.

● Experience working with AI/ML products, LLM-based applications, or data-intensive systems.

● Familiarity with enterprise environments, integration patterns, and security/compliance considerations.

● Startup experience, or comfort with the pace and scope changes that come with an early-stage company.

WHAT WE OFFER

● The opportunity to see your work directly and immediately impact real customers.

● A high-ownership role with a direct path into product and engineering leadership.

● Competitive compensation

● A collaborative, fast-moving team building at the frontier of applied AI.

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

Job Summary

We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
• Develop and manage large-scale analytical data models in BigQuery.
• Implement event-driven data ingestion using Google Cloud Pub/Sub.
• Create, schedule, and monitor workflows using Apache Airflow and Autosys.
• Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
• Optimize query performance, storage, and compute costs in GCP.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
• Troubleshoot production issues and continuously improve pipeline reliability and performance.

Mandatory Skills

• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python programming.
• Experience in designing and implementing ETL/ELT pipelines.
• Strong knowledge of BigQuery.
• Experience with Google Cloud Dataflow (Apache Beam).
• Experience with Google Cloud Pub/Sub.
• Hands-on experience with Apache Airflow.
• Experience in job scheduling using Autosys.
• Experience with modern table formats such as Apache Iceberg or Delta Lake.
• Strong SQL and data modeling skills.

Preferred Skills

• Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes.
• Familiarity with Git and Agile/Scrum methodologies.
• Knowledge of data warehousing and dimensional modeling.
• Exposure to streaming and real-time data processing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.

Required Experience

• Strong experience in developing enterprise-grade data pipelines using Python and GCP.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
• Experience scheduling and monitoring batch workflows using Autosys.
• Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
• Strong understanding of ETL best practices, performance tuning, and data optimization.
• Excellent analytical, troubleshooting, and problem-solving skills.

Mandatory Skills

• Google Cloud Platform (GCP)
• Python
• ETL
• BigQuery
• Autosys
• Apache Airflow
• Google Cloud Pub/Sub
• Google Cloud Dataflow (Apache Beam)
• Apache Iceberg / Delta Lake
• SQL & Data Modeling

Key Responsibilities

·      Design, build, and maintain efficient, reusable, and reliable Python automation scripts.

·      Consume, integrate, and manage external services using APIs (CRUD operations, JSON parsing).

·      Read, comprehend, and debug existing code to identify bottlenecks and fix bugs.

·      Interact with databases using SQL to extract and manipulate required data.

·      Maintain source code quality through Git version control and participate in code review workflows.

·      Clearly communicate logic, architectural choices, and technical roadblocks to the team.

Skill Requirements & Competencies

Non-Negotiable Skills

·      Aptitude & Logical Problem Solving: Exceptional ability to break down complex problems. The ability to explain the logic behind your code is strictly required.

·      Core Python Mastery: Deep understanding of decorators (e.g., writing execution time loggers), list/dictionary comprehensions, and advanced string operations. (would be good to know packages such as heapq or equivalent which aids problem solving using pre implemented data structures).

·      Concurrency & Parallelism: Practical experience with asyncio, multithreading, and multiprocessing, including knowing exactly when and why to use each.

·      APIs & Data Handling: Proven experience calling endpoints, parsing JSON data, and working with any standard API framework (e.g., FastAPI, Flask, Django REST).

·      SQL Database Skills: Intermediate ability to write SQL queries to fetch, filter, and manipulate data. NoSQL exposure is a good to have.

·      Code Comprehension & Debugging: Ability to jump into an existing codebase, understand its flow, and efficiently troubleshoot bugs.

·      Strong Communication: Must be able to articulate technical concepts, code, approach etc. clearly to both technical and non-technical stakeholders.

Intermediate Skills

·      Version Control (Git): Competent in creating/modifying repositories, branching, committing, pushing, and managing Pull Requests.

·      Command Line / Scripting: Intermediate proficiency in Bash/Shell scripting for environment navigation and basic OS-level automation.

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Lead SDET/QA Test Automation Engineer – AI Platforms (Agentic AI)

📍 Hyderabad, India | Full-Time | On-site / Hybrid

📈 Experience: 6–10 Years

The Role

We're looking for a hands-on Lead SDET to define and scale quality engineering across our healthcare AI platform.

This is an 80% IC and 20% leadership role, focused on building next-generation testing infrastructure, establishing quality standards, and mentoring engineers.

What You'll Do

Quality Architecture

• Define company-wide quality strategy.
• Architect automation frameworks from the ground up.
• Establish testing standards and engineering practices.

AI Systems Testing

Own validation strategies for:

• LLM Applications
• Voice AI Platforms
• Conversational AI
• Agentic Systems
• Multimodal AI

Build frameworks for:

• Hallucination testing
• Safety testing
• Regression detection
• AI performance measurement

Automation Engineering

Drive testing across:

• APIs
• Databases
• Web Applications
• Mobile Applications
• Distributed Systems
• Performance Engineering

Leadership

• Mentor and guide engineers.
• Drive engineering excellence.
• Influence release and architecture decisions.

What We're Looking For

• 6–10 years in SDET or QA Automation.
• Strong product engineering background.
• Expert-level coding in Python and Java.
• Deep expertise in:
• Selenium
• Playwright
• Appium
• PyTest
• TestNG
• REST Assured
• Strong understanding of:
• Distributed Systems
• System Design
• CI/CD
• SDLC
• STLC
• Experience building automation frameworks from scratch.
• Strong mentoring and technical leadership skills.

Why Join Us?

• Own quality engineering for category-defining AI products.
• Influence engineering strategy and architecture.
• Work on cutting-edge healthcare AI systems.

Job Title : Agentic AI Architect

Experience : 5+ Years

Location : Hyderabad (Work From Office)

Employment Type : Contract to Hire

Job Summary :

We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.

Mandatory Skills :

Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.

Key Responsibilities :

• Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.
• Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.
• Integrate AI models with enterprise applications using APIs and microservices.
• Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.

Required Skills :

• 5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.
• Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python for developing AI-powered applications and intelligent agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.
• Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.
• Experience designing and integrating REST APIs and microservices-based architectures.
• Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.
• Strong understanding of scalable, secure, and production-ready AI solution architecture.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of cloud-native architecture and distributed systems.
• Experience working on enterprise AI transformation projects.

vishwa.ai is an Enterprise AI-native SaaS platform built for finance, corporate lending, and risk analytics.

Our platform combines AI, data extraction, workflow automation, and analytics to help financial teams process documents, analyze businesses, assess risk, and make faster, more reliable decisions.

We are looking for a Engineer who does not just write code, but owns problems end-to-end.

This role is for someone who wants to understand the problem deeply, build the solution across the stack, work with different teams when needed, and stay accountable until the feature is actually useful for the customer.

You will not be expected to only own a frontend screen, a backend API, or a database change. You will be expected to own the problem statement.

To apply, please fill out this form: https://forms.gle/8fNfKiy3pcjYbSED9  

NOTE: Applications submitted only through Cutshort will not be considered. Please fill out the form above to complete your application.

About the Role

As an engineer, you will work across product, frontend, backend, data, infrastructure, customer workflows, and internal tools.

You should be comfortable wearing multiple hats. Some days you may be writing APIs, some days you may be debugging a production issue, some days you may be improving a product flow, and some days you may be working with stakeholders to understand what actually needs to be built.

The expectation is simple: understand the problem, figure out the right solution, build it, ship it, and make sure it works.

What You’ll Work On

Your work will include:

• Building full-stack features from scratch
• Improving existing product flows and customer workflows
• Writing backend APIs and frontend interfaces
• Working with databases and data-heavy product logic
• Debugging issues across frontend, backend, infrastructure, and data layers
• Understanding user problems and translating them into product improvements
• Working with operations, design, business, and customer-facing teams when needed
• Using AI tools to move faster and improve output
• Taking ownership of features until they are live, stable, and useful

What We’re Looking For

We’re looking for someone who can think clearly, build fast, and take responsibility for outcomes.

You should be comfortable with:

• Frontend development using React, Next.js, or similar frameworks
• Backend development using Go, Python, FastAPI, Node.js, or similar
• SQL databases, preferably PostgreSQL
• Understanding existing codebases and contributing quickly
• Debugging issues across the full stack
• Working with ambiguity and making reasonable trade-offs
• Collaborating with cross-functional teams to understand requirements
• Using AI tools as part of your daily engineering workflow
• Owning delivery beyond just writing code

You do not need to know everything already. But you should be able to learn fast, figure things out, and keep moving.

How We Work

We care deeply about ownership, trust, and quality of execution.

 Use any AI tool that helps you ship better work faster. What matters is the quality, reliability, and usefulness of what you deliver.

We value people who can take a problem, understand the business context, make technical decisions, build the solution, and drive it to completion.

You’ll Do Well Here If

• You like owning problems, not just tasks
• You enjoy building things end-to-end
• You are comfortable wearing multiple hats
• You are self-driven and can work well in a fast-paced environment.
• You can work with ambiguity and still make progress
• You care about the customer problem, not just the code
• You can make practical trade-offs between speed, quality, and scope
• You use AI tools to improve your output and speed
• You can be trusted to take a feature from idea to production
• You want to grow by taking on real responsibility

Location

We prefer someone based in Hyderabad or someone willing to relocate to Hyderabad.

That said, this is not a hard requirement. We are open to remote candidates if they are strong, reliable, and can work with high ownership.

Role

Full-time Engineer.

If you like ownership, product thinking, engineering, and solving real business problems, we’d like to talk.

To apply, please fill out this form: https://forms.gle/8fNfKiy3pcjYbSED9  

NOTE: Applications submitted only through Cutshort will not be considered. Please fill out the form above to complete your application.

Job Summary:

We are seeking a highly skilled Principal Infrastructure Engineer to join our team, focusing on production support and Site Reliability Engineering (SRE) implementation. The ideal candidate will possess a strong background in Python scripting, Ansible automation, and OpenShift support, along with expertise in Linux administration and Apache Tomcat. This role is critical in ensuring the stability and performance of our applications through effective monitoring, log analysis, and the use of various DevOps tools.

Responsibilities:

Provide production support for applications, ensuring high availability and performance.

Implement Site Reliability Engineering (SRE) practices to enhance system reliability.

Develop and maintain Python scripts for automation and process improvement.

Utilize Ansible for configuration management and deployment automation.

Support and manage OpenShift environments, ensuring optimal performance and scalability.

Administer Linux servers, ensuring security, performance, and reliability.

Manage and configure Apache Tomcat servers for application deployment.

Implement and maintain monitoring tools to proactively identify and resolve issues.

Conduct log analysis to troubleshoot and optimize application performance.

Collaborate with cross-functional teams to enhance DevOps practices and tools.

Document processes, procedures, and best practices for infrastructure management.

Mandatory Skills:

Strong experience in application production support.

Proficiency in Python scripting for automation tasks.

Hands-on experience with Ansible for automation and orchestration.

Solid understanding of OpenShift and container orchestration.

Expertise in Linux administration, including server setup and maintenance.

Experience with Apache Tomcat configuration and management.

Familiarity with monitoring tools and log analysis techniques.

Knowledge of DevOps tools and practices.

Preferred Skills:

Experience with cloud platforms (AWS, Azure, GCP).

Familiarity with CI/CD pipelines and tools.

Knowledge of networking concepts and security best practices.

Experience with database management and optimization.

Understanding of Agile methodologies and practices.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.

Relevant certifications in cloud technologies, DevOps, or system administration are a plus.

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work in a fast-paced environment and manage multiple priorities

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

Job Summary

We are seeking an experienced Agentic AI Architect to design and build enterprise-scale Agentic AI platforms that enable autonomous, intelligent, and collaborative AI agents. The ideal candidate will drive architecture, technology strategy, and AI engineering best practices while delivering scalable, secure, and production-ready AI solutions.

Key Responsibilities

• Design enterprise architecture and technical roadmap for Agentic AI platforms.
• Build scalable multi-agent AI systems with reasoning, planning, memory, and autonomous decision-making capabilities.
• Architect solutions using LLMs, RAG, vector databases, embeddings, prompt engineering, orchestration frameworks, and agent execution engines.
• Design reusable frameworks for agent orchestration, lifecycle management, governance, observability, and monitoring.
• Integrate AI platforms with enterprise applications, APIs, databases, messaging systems, and cloud services.
• Implement AI security, governance, privacy, compliance, guardrails, and Responsible AI practices.
• Evaluate and implement frameworks such as Google ADK, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and MCP.
• Lead architecture reviews, technical governance, design workshops, and solution validation.
• Develop Proof of Concepts (PoCs) to evaluate emerging AI technologies.
• Mentor engineering teams and establish architecture standards and best practices.
• Collaborate with Product, AI/ML, Data Engineering, Cloud, DevOps, and Security teams.
• Drive AI platform scalability, modernization, performance optimization, and cost efficiency.

Required Skills

• Strong expertise in Agentic AI architecture and enterprise AI solution design.
• Hands-on experience with Large Language Models (GPT, Gemini, Claude, Llama, Mistral).
• Strong knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, AI Memory, Knowledge Graphs, and AI Orchestration.
• Experience with Google ADK, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, MCP, or similar frameworks.
• Strong Python programming skills.
• Experience with FastAPI, REST APIs, Microservices, Distributed Systems, Event-Driven Architecture, Docker, Kubernetes, CI/CD, Git, and Azure/AWS/GCP.
• Knowledge of MLOps, LLMOps, AI Observability, monitoring, and production deployments.
• Strong understanding of AI Security, Governance, Responsible AI, and Enterprise Architecture.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 10+ years of software engineering experience.
• 5–7+ years of experience designing enterprise AI/ML platforms and distributed systems.
• Proven experience architecting production-grade Agentic AI solutions.

Preferred Experience

• Domain experience in Supply Chain, Manufacturing, Retail, Healthcare, Financial Services, or Enterprise Automation.
• Experience building multi-agent collaboration systems.
• Knowledge of AI Governance and Responsible AI.
• Enterprise Architecture and Cloud Certifications are preferred.

Job Summary

We are seeking a highly skilled and experienced Senior Salesforce QA Engineer to lead the end-to-end quality assurance for our enterprise Salesforce platform. In this role, you will design robust test strategies, establish automated testing pipelines, and validate complex custom configurations, Apex code, and integrations. As a senior member of the team, you will bridge the gap between business requirements and technical execution, ensuring the delivery of high-quality, scalable solutions across Sales, Service, and Custom Clouds.

Key Responsibilities

• Test Strategy & Planning: Define, implement, and maintain comprehensive test strategies, test plans, and test cases covering functional, regression, integration, and end-to-end scenarios.

• Test Automation: Architect, scale, and maintain automated testing frameworks using enterprise tools (e.g., Provar, Tricentis Tosca, or Selenium with Java/Python) specifically optimized for Salesforce's dynamic UI.

• Complex Custom Validation: Validate complex programmatic customizations (Apex classes, Triggers, Lightning Web Components) and declarative features (Advanced Flows, Validation Rules).

• Integration Testing: Lead end-to-end API testing (REST/SOAP) to verify seamless data flow between Salesforce and upstream/downstream external systems.

• Environment & Release Management: Oversee sandbox deployments, data masking, and regression testing during Salesforce seasonal releases and monthly deployment cycles.

• Defect Lifecycle Management: Own the defect tracking process in Jira or Azure DevOps, collaborating closely with developers, business analysts, and product owners for rapid root-cause resolution.

• Mentorship & Leadership: Provide technical guidance and mentorship to junior QA engineers and lead user acceptance testing (UAT) phases with business stakeholders.

Required Technical Skills & Qualifications

• Experience: 5 to 10 years of dedicated software quality engineering experience, with a minimum of 3+ years focused exclusively on testing Salesforce ecosystems.

• Salesforce Core Knowledge: Deep understanding of Salesforce architecture, data models, object relationships, sharing rules, and platform governor limits.

• Automation Expertise: Hands-on experience developing framework code or no-code architectures using tools like Provar, Selenium WebDriver, Tricentis Tosca, or UFT.

• API Testing: Proficient in API testing tools such as Postman, SoapUI, or automated API frameworks.

• Agile & Devops: Strong experience working within Agile/Scrum methodologies and integrating automated tests into CI/CD pipelines (e.g., Copado, Jenkins, GitHubActions).

• Data Management: Proficiency in writing SQL queries and utilizing Salesforce Data Loader for test data creation and verification.

🚀 We're Hiring | Site Reliability Engineer (SRE)

📍 Location: Hyderabad (Hybrid)

💼 Experience: 4–6 Years

P99Soft is looking for a skilled Site Reliability Engineer (SRE) to join our engineering team. If you're passionate about building highly available, scalable cloud infrastructure and driving automation across modern DevOps environments, we'd love to hear from you.

Key Responsibilities

- Design, implement, maintain, monitor, and support backend servers and microservices infrastructure.

- Build and maintain automation tools for development, testing, operations, and IT infrastructure.

- Participate in 24/7 on-call support for production incidents (PagerDuty).

- Collaborate with cross-functional teams to ensure seamless deployments and operational excellence.

- Define and improve SRE processes across development, testing, releases, and support.

- Troubleshoot complex infrastructure and production issues.

- Drive infrastructure automation and continuous process improvements.

Implement security best practices, vulnerability assessments, and risk management.

- Perform incident management and root cause analysis (RCA).

- Monitor system health, customer experience, and operational KPIs.

Required Skills

- Cloud Platforms: AWS, GCP

- Containerization & Orchestration: Docker, Kubernetes, Rancher, Amazon EKS, Amazon ECS, GKE, Elastic Beanstalk, Google App Engine

- Infrastructure as Code (IaC): Terraform, AWS CloudFormation, GCP Deployment Manager, Ansible

- Monitoring & Observability: Prometheus, Datadog, Alertmanager, Thanos, AWS CloudWatch

- CI/CD: GitLab CI/CD, Jenkins

- Scripting: Python, Golang

- Version Control: GitLab, Perforce, Subversion

- Operating Systems: Ubuntu, CentOS, Amazon Linux, Red Hat Enterprise Linux

If you have hands-on experience managing cloud-native infrastructure, Kubernetes environments, DevOps automation, and production operations, we'd love to connect with you.

📩 Share your resume:

Know someone who would be a great fit? Feel free to like, share, or tag them in the comments.

#Hiring #SiteReliabilityEngineer #SRE #CloudEngineer #DevOps #AWS #GCP #Kubernetes #Docker #Terraform #Jenkins #GitLab #Python #Golang #Infrastructure #CloudComputing #HyderabadJobs #HybridJobs #TechJobs #P99Soft

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Company Description

TECHSOPHY specializes in productizing solutions based on new technology, focusing on emerging platforms of BPM & ECM, Low Code, AI (ML/RPA/NLP). Founded in 2009, Hyderabad, India. We specialize in delivering AI, RPA, BPM, Low-Code, and cloud solutions that help enterprises modernize operations and accelerate digital transformation. Our mission is to improve lives across four dimensions — Physical, Mental, Financial, and Cyber Health — through technology that is purposeful, scalable, and built for the real world. We are on the lookout for a sharp, driven SDET (Full Stack) who takes quality personally. If you love breaking things before users do, thrive in a fast-paced engineering culture, and want your work to directly shape products that impact millions — this is the role for you.

Experience

5 to 7 Years of Relevant Experience

What You'll Do

• Design, build, and scale test automation frameworks across Web and Desktop platforms — from scratch or on top of what exists
• Own and evolve existing automation suites, keeping them fast, reliable, and maintainable
• Drive bug triage end-to-end: identify, document, communicate, and follow through until resolution
• Debug complex failures and dig deep into code to uncover root causes, not just symptoms
• Proactively identify performance bottlenecks and thresholds before they become production incidents
• Collaborate with Dev and Product teams using Git and Jenkins as part of a mature CI/CD pipeline
• Champion Object-Oriented Design principles across test code because quality code deserves quality tests

What We're Looking For

Some or all of the below — because we believe smart people learn fast. You just need to prove you can:

• Hands-on experience building and maintaining Selenium-based automation frameworks
• Deep understanding of QA processes — test planning, feature ownership, automation reporting, bug triage, regression, and isolation
• Proven experience with REST API automation frameworks and scripting
• Strong programming skills in Python with solid grasp of Data Structures and OOP concepts5. Functional knowledge of the full software testing lifecycle and test case writing
• Working knowledge of build tools — Jenkins, Apache Ant, or Gradle
• Experience with API Testing and proficiency in integrating it into CI pipelines
• Familiarity with Continuous Integration and software build processes
• Experience testing cloud-based SaaS or PaaS products with a demonstrated sense of ownership
• Excellent communication skills and the ability to work cross-functionally across engineering, product, and business teams

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Navtech is looking for an ERPNext Frappe Developer with expertise in the Frappe Framework to join our team. The ideal candidate will be responsible for designing, developing, and customizing ERPNext applications to meet business requirements. You will work closely with cross-functional teams to enhance existing modules, integrate third-party applications, and ensure seamless performance of ERP systems.

Working as a ERPNext Frappe Developer at Navtech, you will:

• Develop and customize ERPNext modules based on business requirements.
• Write clean, scalable, and maintainable Python code using the Frappe Framework.
• Design and implement RESTful APIs for seamless integration with other systems.
• Optimize database structures and queries for efficient performance.
• Troubleshoot, debug, and resolve issues in the ERPNext ecosystem.
• Work with stakeholders to understand business processes and implement appropriate solutions.
• Develop custom scripts, reports, and print formats as required.
• Perform software testing, code reviews, and version control management.
• Stay up to date with ERPNext and Frappe Framework best practices and updates.

Who Are We Looking For Exactly?

• 1+ years proficiency in Python and experience with the Frappe Framework.
• Strong understanding of ERPNext and its various modules.
• Experience with MariaDB/MySQL and database optimization.
• Knowledge of JavaScript, HTML, CSS, and front-end frameworks (Vue.js, React, or similar is a plus).
• Experience with RESTful API development and third-party integrations.
• Familiarity with Git and version control workflows.
• Ability to write efficient, reusable, and modular code.
• Strong problem-solving skills and ability to work in a team environment.
• Excellent communication and documentation skills.
• Bachelor’s degree in Computer Science, Information Systems, or related degrees and throughout education in English medium.

Why Navtech?

• Performance review and Appraisal Twice a year.
• Competitive pay package with additional bonus and benefits.
• Work with US, UK and Europe based industry-renowned clients for exponential technical growth.
• Opportunities to work on multiple projects.
• Medical Insurance cover for self and immediate family.
• Work with a culturally diverse team from different geographies.

About us:

Navtech is a premier IT software and Services provider. Navtech’s mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services.

Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US, Hyderabad, and Pune. We’re a fast-growing company with clients in the United States, UK and Europe.

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

About the Role

We're looking for a hands-on AI Architect to lead the design and delivery of AI-native applications. You will define the AI stack, establish engineering standards, and drive adoption of AI-assisted development across teams.

Responsibilities

• Architect and build production-grade AI applications.
• Evaluate and standardize AI frameworks, tools, and platforms.
• Design agentic systems, RAG pipelines, and AI workflows.
• Establish AI evaluation, testing, guardrails, and observability practices.
• Drive AI-native development and delivery acceleration initiatives.
• Partner with engineering and product teams on technical roadmap decisions.

Requirements

• 7+ years of software engineering experience.
• Strong experience with LLMs, RAG, embeddings, prompt engineering, and agent frameworks.
• Experience with LangGraph, AutoGen, MCP, or similar ecosystems.
• Hands-on experience with AI evaluations (DeepEval, Ragas), guardrails, and structured outputs.
• Strong Python and TypeScript/Java skills.
• Experience with Kubernetes, CI/CD, IaC, observability, and event-driven architectures.
• Proven experience shipping AI applications to production.

Role Overview

We are looking for a skilled Software Engineer with strong Python backend development expertise and hands-on experience in Google Cloud Platform (GCP). The role involves building scalable, cloud-native applications, APIs, and automation solutions while following modern SDLC and DevOps best practices.

Key Responsibilities

• Develop and maintain backend services using Python, including APIs, automation, and data processing.
• Design and implement cloud-native solutions on GCP, leveraging services such as Cloud Run, Cloud Functions, Firestore, Compute Engine, and App Engine.
• Contribute to system design and architecture discussions, focusing on scalability and microservices.
• Follow SDLC best practices, writing clean, modular, and testable code using OOP principles and design patterns.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Support CI/CD pipelines, version control, and automated testing as part of DevOps practices.
• Willing to work in shifts.

Required Skills & Qualifications

Certifications

• Google Cloud Associate or Professional Certification preferred.
• Other relevant cloud or software certifications are a plus.

Python

• Strong proficiency in backend development, API creation, automation, and data manipulation.

GCP

• Practical experience with GCP services, especially serverless or compute-based offerings.

System Design

• Good understanding of scalable architectures and microservices concepts.

SDLC & OOP

• Solid grasp of object-oriented programming, design patterns, and clean code practices.

DevOps

• Working knowledge of Git, CI/CD pipelines, automated testing, and Infrastructure as Code (IaC).

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

Job Title: Lead Engineer – Generative AI

Role Overview

We are looking for a highly skilled Lead Engineer with strong expertise in Generative AI to lead the design and development of scalable, intelligent systems. The ideal candidate will bring deep technical knowledge, strong reasoning ability, and leadership skills to guide teams in building next-generation AI-driven solutions.

This role requires hands-on experience with modern AI frameworks, full-stack development, and cloud technologies, along with the ability to adapt quickly to evolving technologies.

Key Responsibilities

● Lead the architecture, design, and development of AI-powered applications and platforms.

● Drive the implementation of Generative AI solutions, including LLM-based systems and agentic workflows.

● Act as a subject matter expert (SME) for AI and Data & Analytics initiatives.

● Design and implement scalable and efficient LLM orchestration pipelines.

● Collaborate with cross-functional teams including product, data, and engineering.

● Mentor and guide development teams, ensuring best practices in coding, architecture, and AI integration.

● Deliver high-quality data products and analytics-ready solutions for stakeholders.

● Continuously evaluate and adopt emerging technologies in AI/ML and cloud ecosystems.

● Ensure system performance, scalability, and security across all deployments.

Required Skills & Qualifications

Experience

● 6+ years of experience in Python and React development

● 2+ years of hands-on experience in AI/ML / Generative AI

● 4+ years of experience in AWS and SQL (PostgreSQL preferred)

Technical Skills

● Strong expertise in:

○ LangChain & LangGraph

○ Large Language Models (LLMs)

○ LLM orchestration & agentic AI systems

○ Python (backend development & AI integration)

○ React & Node.js (full-stack development)

○ PostgreSQL and database design

○ AWS services (Lambda, EC2, S3, Bedrock, Sagemaker, etc.)

○ OCR technologies and document processing

● Solid understanding of:

○ AI system design patterns

○ Retrieval-Augmented Generation (RAG)

○ Vector databases and embeddings

Leadership & Core Competencies

● Strong problem-solving and reasoning skills

● Proven ability to lead and mentor teams

● Excellent communication and stakeholder management

● Ability to work in a fast-paced, innovation-driven environment

● Passion for continuous learning and adapting to new technologies

Nice to Have

● Experience in the Insurance industry

● Exposure to AI product development or AI venture studios

● Knowledge of compliance and regulatory considerations in AI systems

We are hiring for GEN AI + Python + LLM, Langchain +Azure AI Stack role

If you're interested in this position, revert to this mail along with your updated CV.

Experience : 5 to 12 years

Location : Hyderabad, Bangalore

Required Skill set :  Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. OpenAI technologies and applications,including Azure OpenAI GPT models. FastAPI,RESTful APIsAzure,Google Cloud Platform.TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas

Roles & Responsibilities :

We are seeking a Senior AI Developer with expertise in Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. The ideal candidate will have strong analytical and communication skills, be proactive, and possess the ability to lead small teams independently.

1.  Proficient in Python programming and machine learning frameworks
2.  Strong experience in developing and deploying machine learning models
3.  Proficiency in deep learning for Natural Language Processing (NLP) using BERT, GPT, and other Transformer-based models
4.  Basic understanding of computer vision techniques for image recognition or object detection
5.  Hands-on experience with OpenAI technologies and applications, including Azure OpenAI GPT models
6.  Experience integrating backend systems with APIs and libraries such as Hugging Face Transformers
7. · Proficient in FastAPI for building and deploying RESTful APIs
8. Experience with CI/CD pipelines for deploying FastAPI applications
9.  Experience with cloud platforms such as Azure (including Azure Stack) or Google Cloud Platform (GCP) for deploying AI solutions
10. Experience in data engineering, including data curation, cleaning, and preprocessing large-scale datasets for generative AI applications
11. Proficiency in using vector databases and NoSQL databases such as Elasticsearch or Azure Cosmos DB
12.  Experience with Autogen and MCP for automation and model management
13.  Knowledge of Docker and Kubernetes for containerization and orchestration
14. Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
15. Understanding of AI evaluation metrics, data privacy, security, and ethical considerations in AI applications
16.  Strong analytical and problem-solving skills
17.  Strong communication skills with the ability to collaborate effectively in a team environment
18. Proactive attitude with the ability to independently lead small teams

GCP Data Engineer

Experience: 8 – 15 yrs

Grade: C2/D1

Skill: GCP + Python/Pyspark

NP: Immediate joiners

• 8+ years of hands-on experience in Python.
• 8+ years of hands-on experience in Data Engineering.
• 5+ Years of hands-on experience in GCP Big Query.
• Experience in building scalable data pipelines and automation frameworks.
• Experience migrating data and pipelines from SQL Server to GCP Big Query.
• Familiarity with CI/CD tools and Agile methodologies.
• Good understanding on Data Governance, Data Quality, Metadata, Lineage
• Expertise in Data Model design in Big query.
• Expertise in writing optimal Big query SQL and Stored Proc.
• Expertise in GCS Cloud Storage, Pub Sub, Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.
• Expertise in Vertex AI and Feature Store.
• Expertise in Spark and Apache Beam is desirable.

Email resumes to: naveenkb @ 10xscale.ai

• Requirements:
• ·       You have 8+ years of professional software engineering experience with a proven track record of shipping high-impact, scalable products.
• ·       You have architectural-level expertise in a modern programming language (TypeScript/JavaScript, Python, Go, or Java).
• ·       You have deep experience designing, building, and operating distributed systems in a cloud environment (AWS or GCP).
• ·       You are proficient in building and consuming web APIs (REST/GraphQL) and designing robust systems for caching (Redis) and asynchronous processing (message queues).
• ·       You have advanced expertise in designing, optimizing, and scaling SQL/NoSQL databases for high-traffic applications.
• ·       You are well-versed in CI/CD pipelines, Docker, and infrastructure-as-code (e.g., Terraform).
• ·       You thrive in ambiguity and can define technical roadmaps from vague business goals.
• ·       You communicate complex trade-offs clearly to both technical and executive stakeholders.
• ·       You champion operational excellence and influence how teams build, deploy, and maintain software.
• ·       Bonus skills: Advanced database optimization, distributed systems design, infrastructure-as-code expertise, or prompt engineering / LLM tooling experience.
• 
  
• Job Description:
• Architect, own, and deliver complex, multi-quarter projects end-to-end, setting the technical vision for your domain.
• Identify and address architectural gaps, scale critical systems, and drive continuous improvements in performance, reliability, and scalability.
• Collaborate closely with product, design, and business leaders to translate ambiguous business goals into clear technical roadmaps and execution strategies.
• Establish and champion best practices for operational excellence — including monitoring, alerting, on-call preparedness, and incident response.
• Mentor and guide L1/L2 engineers, lead through high-quality design documents and code reviews, and elevate engineering standards across the organization.
• Work hands-on with our complete stack:
• Frontend: React/Next.js + TypeScript
• Backend: Node.js / FastAPI / Go
• Databases: Postgres, Redis (SQL/NoSQL)
• DevOps & CI/CD: Docker, GitHub Actions, AWS/GCP, Terraform, Kubernetes
• Observability & Monitoring: OpenTelemetry, Grafana/Prometheus, Sentry
• AI-native productivity: Cursor for daily development, copilots, and AI codegen tools
• Measure impact through:
• Outcome: Ownership of key product-area outcomes that drive top-level company metrics.
• Quality: Architectural improvements that enhance reliability, reduce defects, and accelerate delivery.
• Speed: Ability to unblock teams and drive progress on complex initiatives efficiently.
• Technical Leadership: Setting direction, defining standards, and influencing the broader engineering organization.

Recommendations:

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Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

We are looking for a seasoned Python/Django expert with 7-12 years of real-world development experience and a strong background in leading engineering teams. The selected candidate will be responsible for managing complex technical initiatives, mentoring team members, ensuring best coding practices, and partnering closely with cross-functional teams. This position demands deep technical proficiency, strong leadership capability, and exceptional communication skills.

Primary Responsibilities:

• Lead, guide, and mentor a team of Python/Django engineers, offering hands-on technical support and direction.
• Architect, design, and deliver secure, scalable, and high-performing web applications.
• Manage the complete software development lifecycle including requirements gathering, system design, development, testing, deployment, and post-launch maintenance.
• Ensure compliance with coding standards, architectural patterns, and established development best practices.
• Collaborate with product teams, QA, UI/UX, and other stakeholders to ensure timely and high-quality product releases.
• Perform detailed code reviews, optimize system performance, and resolve production-level issues.
• Drive engineering improvements such as automation, CI/CD implementation, and modernization of outdated systems.
• Create and maintain technical documentation while providing regular updates to leadership and stakeholders.

Required Skills & Qualifications

• 7+ years of professional experience in software development with strong expertise in Python and Django.
• Solid understanding of key web technologies, including REST APIs, HTML, CSS, and JavaScript.
• Hands-on experience working with relational and NoSQL databases (such as PostgreSQL, MySQL, or MongoDB).
• Familiarity with major cloud platforms (AWS, Azure, or GCP) and container tools like Docker and Kubernetes is a plus.
• Proficient in Git workflows, CI/CD pipelines, and automated testing tools.
• Strong analytical and problem-solving skills, especially in designing scalable and high-availability systems.
• Excellent communication skills both written and verbal.
• Demonstrated leadership experience in mentoring teams and managing technical deliverables.
• Must be available to work on-site in the Hyderabad office; remote work is not allowed.

Preferred Qualifications

• Experience with microservices, asynchronous frameworks (such as FastAPI or Celery), or event-driven architectures.
• Familiarity with Agile/Scrum methodologies.
• Previous background as a technical lead or engineering manager.

Job Title: Full Stack & Automation Engineer (FinTech Preferred)

Location: On-site | 6 Days/Week

Salary: ₹50,000 – ₹1,50,000/month (Based on experience)

About the Role:

Nova Orbit is looking for a highly capable technical operator who can build scalable systems, automate internal workflows, and strengthen backend infrastructure for a fast-growing finance and investment ecosystem focused on unlisted markets and institutional operations.

Key Responsibilities:

• Build and manage full stack applications for internal tools, dashboards, and business operations
• Design scalable backend architecture with strong system design, APIs, database, and security practices
• Deploy and manage cloud infrastructure across AWS / Azure
• Automate repetitive tasks across departments including operations, CRM, finance, reporting, and customer workflows
• Build workflow automation systems, integrations, bots, and process pipelines
• Improve efficiency by reducing manual processes through technology

Required Skills:

• Strong full stack development (Frontend + Backend)
• Deep backend architecture and system design expertise
• AWS / Azure cloud deployment and infrastructure management
• Proficiency in Python, Node.js, JavaScript/TypeScript, SQL
• API development, microservices, database optimization
• Automation tools like Zapier, n8n, Make, Power Automate, Selenium, or custom scripting
• Workflow design, process mapping, task automation, and RPA concepts
• DevOps, CI/CD pipelines, Docker, Git
• Strong analytical and problem-solving skills

Preferred:

• FinTech / BFSI experience (payments, investment platforms, compliance, CRM automation)
• Experience with internal business process automation across multiple departments

Ideal Candidate:

A systems-driven builder who can combine software engineering, backend scalability, cloud expertise, and workflow automation to optimize company-wide operations.

https://loopx.redstring.co.in/form/6a044e6103b64ed11120a12d

Job Title: Freelance Python Team Lead & Developer (Hyderabad-based)

Project Overview

We are a service-based IT firm seeking a Senior Python Developer (3–5 years experience) for a long-term freelance engagement. This is a unique "Player-Coach" role where you will balance high-level individual coding with the leadership of a junior intern team.

Logistics & Commitment

• Location: In-office (Hyderabad). Candidates must be local.
• Time Commitment: 3–4 hours per day, 5 days a week (approx. 20 hours/week).
• Duration: Ongoing freelance contract.

Core Responsibilities

• Team Leadership: Lead and mentor a team of interns. You will be responsible for task delegation, technical guidance, and conducting rigorous code reviews to ensure production-quality output.
• Individual Contribution: Act as the lead developer for complex backend modules, API architecture, and system integrations using Python (Django/FastAPI).
• Delivery Management: Ensure that the intern team meets project milestones and adheres to clean coding standards (PEP 8).

Requirements

• 3–5 years of professional experience in Python development.
• Proven experience in a service-based company environment.
• Strong proficiency in Django, Flask, or FastAPI and SQL/NoSQL databases.
• Excellent communication skills with a natural ability to mentor and explain technical logic to juniors.
• Availability to work from our Hyderabad office during standard business hours.

Please include your resume and a brief summary of your experience leading teams or mentoring juniors.

RESPONSIBILITIES SKILLS REQUIRED Build automated pipelines from TikTok Seller Center — live dashboards, no manual exports. Script and configure API-based automation flows (Make, Zapier, Python) from scratch. Use Claude AI daily to accelerate analysis, write code, and generate report narratives. Own the Growth team's full reporting cadence — weekly, monthly, ad-hoc. Support TikTok Shop daily operations: monitor KPIs, flag anomalies, coordinate data needs. Present insights and strategy to C-level stakeholders — concise, visual, confident. Excel / Sheets — Power Query, macros, dynamic dashboards Scripting — Python, JS, or Apps Script (write & debug code) Automation — Make / Zapier / API integrations BI Tools — Looker Studio, Power BI, or Tableau Claude AI — required, daily co-pilot (non-negotiable) E-commerce fluency — CAC, LTV, ROAS, funnel metrics Advanced English — C1/C2, written & spoken Proactive ownership — no hand-holding required

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research