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Pyspark Data Engineer:

• Hands-on expertise in designing, building, and maintaining Apache Spark pipelines in production environments. 
• Proven experience building and scaling data ingestion frameworks that integrate data from multiple source systems, with a focus on reliability, reusability, and scalability. 
• Deep understanding of Spark architecture (driver/executors, DAG, partitioning, shuffles, caching, cluster resource management) and experience operating pipelines at scale, including data transformations on datasets ~500 GB+. 
• Strong understanding of Oracle SQL and HDFS, including handling file formats and applying appropriate data cleansing, normalization, and formatting to produce curated output datasets. 
• Ability to write Python, Pyspark, and shell scripts to process, transform, and automate data workflows. The Candidate should be good in writing application programs and automation manual data processing steps using python.

A Staff Engineer at CAW is a technical and people leader responsible for end-to-end project delivery and the growth of engineers. You own technical design (LLDs), contribute to HLD discussions, lead execution, ensure engineering best practices, and act as the primary technical point of contact for clients. You manage a set of engineers, supporting their career progression through mentorship, feedback, and performance development.

Responsibilities:

• Own Low-Level Design (LLD) and code quality; contribute to HLD discussions under guidance.
• Own end-to-end project delivery: requirements understanding, sprint planning, execution, risk management, and production readiness.
• Lead the project engineering team with clear technical direction, ownership, and execution accountability.
• Act as primary people manager for assigned engineers; own their career progression, mentorship, and growth.
• Provide regular 1:1s focused on skill development, feedback synthesis, and long-term career goals.
• Serve as primary technical point of contact for clients; build trust through clear communication and proactive problem-solving.
• Ensure best practices across architecture, implementation, testing, and production readiness.
• Establish disciplined AI usage across the team for design validation, reviews, testing, and documentation.

The core requirements for the job include the following:

Technical Expertise:

• In-depth knowledge of C#. NET languages and the DotNet Core Web API Framework.
• Strong SQL skills: complex queries, stored procedures, functions; PostgreSQL or SQL Server proficiency.
• Experience with Entity Framework or Dapper ORM.
• ReactJS/Angular frontend experience.
• Cloud, Agile, CI/CD, and DevOps environments.
• Solid grasp of SOLID Principles and OOPS Concepts.

Leadership and Ownership:

• Proven ability to own feature-level delivery end-to-end with minimal supervision.
• Strong people management skills with a track record of mentoring and developing engineers.
• Exposure to system design and architecture discussions.
• Production-first mindset with a focus on reliability, scalability, and operational excellence.

AI Systems and Engineering (Nice to Have):

• Advanced experience deploying RAG or agent-based systems with LangGraph orchestration.
• Expert-level mastery of async Python, system thinking, and building scalable backends.
• Design modular, maintainable multi-agent AI systems aligned with SOLID principles.
• Build high-concurrency, async Python backends for complex AI workloads with enterprise stability.
• Architect sophisticated agentic workflows using LangGraph with state persistence and error recovery.
• Design and optimize RAG pipelines: advanced chunking, hybrid search, and re-ranking.
• Collaborate on reusable AI components and internal frameworks to enhance team velocity.
• Authentication Providers (IdentityServer, Auth0 or equivalent).

• 5+ years of experience in Java backend development
• Strong proficiency in Core Java (Java 8+)
• Hands-on experience with multithreading, concurrency, and performance tuning
• Strong understanding of data structures and algorithms
• Experience with Spring Boot and REST API development
• Experience in microservices architecture
• Good understanding of SQL/NoSQL databases
• Strong debugging and problem-solving skills

• Demonstrated experience building production-grade applications with an emphasis on scalability, maintainability, and performance. 
• Strong expertise in concurrency and parallelism, including: 
• Multithreading and multiprocessing
• Synchronous and asynchronous programming (e.g., async/await)
• Designing for throughput, latency, and safe shared-state handling
• Proven experience integrating with external systems via application interfaces, including:
• Building and consuming RESTful APIs
• Authentication/authorization patterns (e.g., API keys, OAuth where applicable)
• Reliable integration patterns (timeouts, retries, idempotency, error handling)
• Strong SQL skills, including the ability to write efficient, complex queries (joins, aggregations, window functions) and optimize performance where needed. 

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Strong Enterprise Data Modeller profile (Modern Data Platforms)

Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms

Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools

Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.

Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.

Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams

Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.

Mandatory (Note) – Total experience should not be greater than 15 years

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies. 

Responsibilities: 

• Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies 
• Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories 
• Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly 
• Leverage Generative AI services to enhance chatbot responses with creativity and personalization 
• Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience 
• Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions 
• Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization 
• Stay updated on the latest advancements in Conversational AI technologies and best practices.
• Apply Microsoft Foundry methodologies for rapid prototyping, iterative experimentation, and accelerated delivery of AI-driven chatbot solutions
• Build, refine, and scale enterprise-grade chatbot applications using Foundry-aligned engineering practices, reusable components, and standardized deployment workflows

Preferred Qualifications: 

• 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots 
• Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization 
• Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic 
• Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems 
• Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation 
• Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs 
• Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation 
• Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange 
• Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements 
• SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod).
• Hands-on experience working with Microsoft Foundry frameworks, including rapid MVP creation, modular architecture patterns, and AI-driven solution accelerators
• Demonstrated experience building, deploying, and optimizing chatbot applications using Foundry engineering standards and reusable AI components
• Excellent communication, collaboration, and problem-solving skills 
• Ability to work independently and manage multiple projects simultaneously 
• Passion for innovation and a strong desire to push the boundaries of Conversational AI technology 

Strong Performance Marketing / D2C / E-commerce Marketing Profiles.

Mandatory (Experience 1): Must have 3+ years of hands-on experience in planning, executing, and scaling paid performance marketing campaigns for D2C or E-commerce brands across platforms like Google Ads and Meta (Facebook & Instagram)

Mandatory (Experience 2): Proven experience in end-to-end campaign management, including campaign setup, budget allocation, bid strategy, audience targeting, optimization, and scaling for revenue growth

Mandatory (Experience 3): Strong understanding of key performance metrics such as CAC, ROAS, CTR, CPC, and conversion rate (CVR), with demonstrated ability to optimize campaigns for efficiency and ROI

Mandatory (Experience 4): Hands-on expertise in tools and tracking systems including Google Analytics, Google Tag Manager, Meta Pixel, and UTM tracking for performance measurement and attribution

Mandatory (Experience 5): Experience in running multi-channel campaigns across Google (Search, Display, YouTube) and Meta platforms, with strong knowledge of re marketing, dynamic ads, and funnel optimization strategies

Mandatory (Experience 6): Strong analytical skills with experience in A/B testing, audience segmentation, and deriving actionable insights from campaign data using Excel/Google Sheets or dashboards

Mandatory (Experience 7): Experience in managing budgets, forecasting performance, and driving monthly revenue/sales targets with end-to-end ownership of campaign outcomes

Mandatory (Domain): Must have experience working with D2C / E-commerce / Consumer brands (preferably in high-growth categories like FMCG, Health & Wellness, or Lifestyle)

🔑 Core Responsibilities

• Troubleshoot Windows OS & Microsoft 365 (Outlook, Teams, OneDrive)
• Manage user accounts & access (Active Directory)
• Handle L1 support issues (hardware, software, network basics)
• Track incidents in ServiceNow/Jira and meet SLAs
• Support user onboarding/offboarding

🧠 Key Skillsets (Must-Have)

• 2–3 years IT Support / Helpdesk experience
• Strong in Windows 10/11 & Office 365
• Basic AWS exposure (mandatory)
• Knowledge of Active Directory & networking (DNS, VPN, Wi-Fi)
• Experience with ticketing tools (ServiceNow/Jira)
• Basic Linux/Unix knowledge
• Good communication & problem-solving skills

Role Overview

We are hiring an L1 IT Support Engineer to provide first-level support for end-user issues related to Windows systems, Office 365, and general IT operations. The role involves troubleshooting, ticket handling, and ensuring timely resolution or escalation of issues.

Key Responsibilities

• Provide L1 support via calls, emails, and ticketing tools
• Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
• Handle password resets, account access, and user management (Active Directory)
• Install/configure laptops, desktops, printers, and software
• Perform basic network troubleshooting (Wi-Fi, VPN, DNS)
• Log and track issues in ServiceNow/Jira and meet SLA timelines
• Escalate complex issues to L2 teams
• Support user onboarding/offboarding and system setup
• Maintain basic documentation and SOPs

Required Skills & Qualifications

• 1–3 years of experience in IT Support / Helpdesk / Desktop Support
• Good knowledge of Windows OS (10/11) and Microsoft Office 365
• Basic knowledge of Active Directory, networking, and security concepts
• Exposure to Linux/Unix environments (basic level)
• Familiarity with ticketing tools (ServiceNow, Jira, etc.)
• Basic understanding of programming/scripting (Java, Python, etc.) is a plus
• Experience in fast-paced or SaaS environments is an advantage
• Strong communication skills (English) and problem-solving ability

We are hiring an L1 IT Support Engineer with 2–3 years of experience in desktop/helpdesk support to provide first-level technical assistance across end-user systems, cloud, and enterprise IT environments.

Key Responsibilities

• Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
• Manage Active Directory tasks: password resets, access/user management
• Install/configure laptops, desktops, printers, and software
• Perform basic network troubleshooting (Wi-Fi, VPN, DNS, DHCP)
• Support AWS CloudWatch alerts and basic Linux troubleshooting
• Handle patching, RCA, documentation, and SOP updates
• Manage tickets in ServiceNow/Jira and meet SLA timelines
• Support onboarding/offboarding and escalate complex issues to L2

Required Skills

• 2–3 years in IT Support / Helpdesk / Desktop Support
• Strong in Windows 10/11, Office 365, Active Directory
• Basic exposure to AWS / CloudWatch and Linux/Unix
• Familiarity with ServiceNow/Jira, ITIL/SLA processes
• Knowledge of SIP/VoIP basics is a plus
• Strong communication and troubleshooting skills

We are hiring an L1 IT Support Engineer with 2–3 years of experience in desktop/helpdesk support to provide first-level technical assistance across end-user systems, cloud, and enterprise IT environments.

Key Responsibilities

• Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
• Manage Active Directory tasks: password resets, access/user management
• Install/configure laptops, desktops, printers, and software
• Perform basic network troubleshooting (Wi-Fi, VPN, DNS, DHCP)
• Support AWS CloudWatch alerts and basic Linux troubleshooting
• Handle patching, RCA, documentation, and SOP updates
• Manage tickets in ServiceNow/Jira and meet SLA timelines
• Support onboarding/offboarding and escalate complex issues to L2

Required Skills

• 2–3 years in IT Support / Helpdesk / Desktop Support
• Strong in Windows 10/11, Office 365, Active Directory
• Basic exposure to AWS / CloudWatch and Linux/Unix
• Familiarity with ServiceNow/Jira, ITIL/SLA processes
• Knowledge of SIP/VoIP basics is a plus
• Strong communication and troubleshooting skills

Company Name- WINIT (WINIT Mobile Sales Force Automation | WINIT (winitsoftware.com))

Qualification- Any Graduate (CSE, IT, AIML)

Work experience- 1-2 years

Comments- Candidate should be efficient in using AI tools

Location- Hyderabad

No of openings- 5

Job Description:

We are seeking a motivated and detail-oriented QA to join our team

in Hyderabad/Secunderabad. This is an entry-level role ideal for candidates who are eager to build a

career in software quality assurance and gain hands-on experience in testing software applications

while working closely with experienced QA and development teams.

Responsibilities:

• Assist in executing test cases to validate software functionality, performance, and reliability.

• Identify, log, and track defects under the guidance of senior QA team members.

• Support in preparing and maintaining test cases, test data, and test reports.

• Participate in requirement analysis and review sessions to understand application workflows.

• Learn and follow QA processes, standards, and best practices.

• Support regression testing and basic automation activities as required.

Skills and Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field.

• 1-2 years of experience or relevant academic/project exposure in software testing.

• Basic understanding of manual testing concepts and SDLC.

• Familiarity with Agile methodologies is a plus.

• Knowledge of testing tools such as JIRA, Selenium, or TestRail is an added advantage.

• Strong attention to detail and willingness to learn.

• Good verbal and written communication skills.

• Ability to work collaboratively in a fast-paced environment.

About our company:

We are an mSFA technology company that has evolved from the industry expertise we have gained

over 25+ years. With over 600 success stories in mobility, digitization, and consultation, we are today

the leaders in mSFA, with over 75+ Enterprises trusting WINIT mSFA across the globe.

Our state-of-the-art support center provides 24x7 support to our customers worldwide. We

continuously strive to help organizations improve their efficiency, effectiveness, market cap, brand

recognition, distribution and logistics, regulatory and planogram compliance, and many more

through our cutting-edge WINIT mSFA application.

We are committed to enabling our customers to be autonomous with our continuous R&D and

improvement in WINIT mSFA. Our application provides customers with machine learning capability

so that they can innovate, attain sustainable growth, and become more resilient.

At WINIT, we value diversity, personal and professional growth, and celebrate our global team of

passionate individuals who are continuously innovating our technology to help companies tackle

real-world problems head-on.

Experience: 2+ Years

Company: WINIT

Location: Hyderabad

Employment Type: Full-Time

Key Responsibilities:

• Design, develop, and maintain web applications using .NET Core and C#.
• Leverage AI technologies to enhance functionality and automate processes.
• Build and integrate RESTful APIs and web services.
• Optimize SQL queries for efficient data management.
• Collaborate within teams to define and deliver new features.
• Ensure UI/UX feasibility and improve user experience.
• Write clean, scalable code and troubleshoot performance issues.
• Participate in the full product lifecycle and utilize version control systems (Git, SVN).

Required Skills & Qualifications:

• 2+ years experience with .NET Core, C#, and SQL.
• Proficient in JavaScript, HTML5, CSS3.
• Strong problem-solving skills and independent work ethic.
• Experience in product companies, ideally with startups or small enterprises.
• Passion for development with an interest in AI-driven solutions.
• Excellent communication skills and a strong team player.

Preferred Skills:

• Experience with cloud platforms (AWS, Azure), CI/CD pipelines, and containerization (Docker, Kubernetes).
• Familiar with unit testing (NUnit, MSTest) and Agile methodologies.
• Experience with microservices architecture and security best practices.

What We Offer:

• A dynamic, collaborative work environment with growth opportunities.
• Competitive salary and flexible working hours.
• Exposure to cutting-edge technologies, including AI.

About our company:

We are an mSFA technology company that has evolved from the industry expertise we have gained over 25+ years. With over 600 success stories in mobility, digitization, and consultation, we are today the leaders in mSFA, with over 75+ Enterprises trusting WINIT mSFA across the globe.

Our state-of-the-art support center provides 24x7 support to our customers worldwide. We continuously strive to help organizations improve their efficiency, effectiveness, market cap, brand recognition, distribution and logistics, regulatory and planogram compliance, and many more through our cutting-edge WINIT mSFA application.

We are committed to enabling our customers to be autonomous with our continuous R&D and improvement in WINIT mSFA. Our application provides customers with machine learning capability so that they can innovate, attain sustainable growth, and become more resilient.

At WINIT, we value diversity, personal and professional growth, and celebrate our global team of passionate individuals who are continuously innovating our technology to help companies tackle real-world problems head-on.

Job Title: AI/ML Engineer (Forecasting)

Company: WINIT

Location: Hyderabad

Experience: 0–2 Years

Job Summary:

We are looking for a skilled AI/ML Engineer with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.

Key Responsibilities:

• Develop and deploy demand forecasting models using machine learning and deep learning techniques.
• Analyze historical data to identify trends, seasonality, and demand patterns.
• Build predictive models to improve supply chain and inventory planning.
• Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
• Design dashboards and reports using Power BI for business stakeholders.
• Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
• Build and integrate NLP-based solutions for text data analysis and insights.
• Develop and implement LLM-based applications using Generative AI frameworks.
• Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
• Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
• Continuously improve model accuracy and performance through experimentation and optimization.

Required Skills:

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Solid understanding of machine learning & deep learning algorithms.
• Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
• Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
• Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
• Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
• Advanced knowledge of SQL for data manipulation.
• Hands-on experience with Power BI for visualization and reporting.
• Expertise in advanced Excel (Power Query, dashboards, data modeling).
• Strong analytical and problem-solving skills. 

Preferred Qualifications:

• Experience in supply chain, logistics, or e-commerce forecasting.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with data pipelines and ETL processes.
• Understanding of business metrics and KPIs related to demand planning.

About WINIT

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

Company Name-WINIT

Location- Hyderabad

Position- Project Manager

Experience- 2+ years

Job Summary:

We are looking for a Project Manager with strong expertise in manual testing. The ideal candidate will oversee project execution, ensure quality through testing, and lead a team to deliver projects on time and within budget. This role involves coordinating with cross-functional teams and stakeholders to achieve project objectives, ensuring that software products meet high-quality standards.

Key Responsibilities:

• Plan, execute, and manage projects from initiation to closure, ensuring they are delivered on time, within scope, and budget.
• Develop detailed project plans, including resource allocation, timelines, and budget tracking.
• Collaborate with QA teams to develop, implement, and maintain both manual and automated test scripts.
• Define testing strategies, methodologies, and best practices to ensure high-quality software products.
• Coordinate with developers, business analysts, and stakeholders to understand project requirements and deliverables.
• Conduct risk assessments and develop mitigation plans to address potential project risks.
• Monitor project progress, identify issues or bottlenecks, and provide solutions to keep the project on track.
• Prepare and present project status reports to senior management and stakeholders.
• Manage changes to project scope, schedule, and costs using appropriate project management tools and techniques.
• Mentor and guide team members, fostering a collaborative and high-performance work environment.
• Ensure compliance with industry standards and regulatory requirements in all project activities.

Qualifications:

• Minimum of 2+ years of experience in project management with a focus on software testing.
• Proven track record of managing projects involving manual and automation testing.
• Experience leading cross-functional teams and working in an Agile or Scrum environment.
• Proven experience in project management, with a strong background in software testing (both manual and automation).
• Project Management Professional (PMP) or similar certification is a plus.
• Solid experience with testing tools and frameworks such as Selenium, QTP, JIRA, or equivalent.
• Strong understanding of software development life cycle (SDLC) and quality assurance methodologies.
• Hands-on experience in developing test plans, test cases, and test scripts.
• Experience in using project management tools like Microsoft Project, Asana, or Trello.
• Excellent organizational, analytical, and problem-solving skills.
• Strong leadership and team management abilities.
• Excellent verbal and written communication skills.
• Ability to handle multiple projects and priorities in a fast-paced environment.

 About our company:

We are an mSFA technology company that has evolved from the industry expertise we have gained over 25+ years. With over 600 success stories in mobility, digitization, and consultation, we are today the leaders in mSFA, with over 75+ Enterprises trusting WINIT mSFA across the globe.

Our state-of-the-art support center provides 24x7 support to our customers worldwide. We continuously strive to help organizations improve their efficiency, effectiveness, market cap, brand recognition, distribution and logistics, regulatory and planogram compliance, and many more through our cutting-edge WINIT mSFA application.

We are committed to enabling our customers to be autonomous with our continuous R&D and improvement in WINIT mSFA. Our application provides customers with machine learning capability so that they can innovate, attain sustainable growth, and become more resilient.

At WINIT, we value diversity, personal and professional growth, and celebrate our global team of passionate individuals who are continuously innovating our technology to help companies tackle real-world problems head-on.

WINIT is looking for a Full Stack Developer with expertise in React Native, React.js & Backend

Company Name- WINIT (WINIT Mobile Sales Force Automation | WINIT (winitsoftware.com))

Qualification- Any Graduate

Work experience- 0-2 years

Location- Hyderabad

Job Summary

We are looking for a talented and innovative Full Stack Developer with expertise in React Native, React.js, and backend technologies to join our team as a Vibe Coder. In this role, you’ll develop cutting-edge web and mobile applications while leveraging modern AI tools and best-in-class development practices to enhance productivity, performance, and user experience.

Key Responsibilities

• Develop and maintain responsive web applications using React.js.
• Build high-performance cross-platform mobile apps using React Native.
• Design and develop scalable backend systems using Node.js, Express.js, and related technologies.
• Integrate third-party services, RESTful APIs, and cloud platforms.
• Optimize performance across frontend and backend components.
• Use AI tools to streamline development tasks such as code generation, debugging, testing, and UX improvement.
• Work collaboratively with product managers, UI/UX designers, and QA teams.
• Participate in code reviews, contribute to technical documentation, and drive innovation within the development team.

Tech Stack & Tools (Vibe Coder Stack)

• Frontend: React.js, React Native, Redux, JavaScript, TypeScript, HTML5, CSS3
• Backend: Node.js, Express.js, REST APIs, Firebase Functions
• Databases: MongoDB, PostgreSQL, Firebase Firestore
• Dev Tools: Git, GitHub, VS Code, Postman, Docker, Swagger
• Cloud & Deployment: AWS, Firebase, Vercel, Netlify
• CI/CD & PM Tools: GitHub Actions, Trello, Jira, Notion

AI Tools & Utilities

• GitHub Copilot / Amazon CodeWhisperer – AI pair programming
• Cursor AI / Gemini / Claude code – Code assistance, debugging, documentation

Requirements

• 1+ years of hands-on experience in full stack development.
• Proficient in React Native, React.js, and Node.js.
• Strong understanding of JavaScript and frontend/backend principles.
• Experience with cloud-based deployments and mobile app publishing.
• Familiar with Git-based workflows, API integration, and database systems.
• Excellent problem-solving, debugging, and communication skills.
• Ability to independently manage tasks and meet project deadlines.

Preferred (Not Mandatory)

• Experience with GraphQL, TypeScript, or Next.js.
• Familiarity with Agile/Scrum methodologies.
• Exposure to AI/ML concepts or LLM integration in applications.

About our company:

We are an mSFA technology company that has evolved from the industry expertise we have gained over 25+ years. With over 600 success stories in mobility, digitization, and consultation, we are today the leaders in mSFA, with over 75+ Enterprises trusting WINIT mSFA across the globe.

Our state-of-the-art support center provides 24x7 support to our customers worldwide. We continuously strive to help organizations improve their efficiency, effectiveness, market cap, brand recognition, distribution and logistics, regulatory and planogram compliance, and many more through our cutting-edge WINIT mSFA application.

We are committed to enabling our customers to be autonomous with our continuous R&D and improvement in WINIT mSFA. Our application provides customers with machine learning capability so that they can innovate, attain sustainable growth, and become more resilient.

At WINIT, we value diversity, personal and professional growth, and celebrate our global team of passionate individuals who are continuously innovating our technology to help companies tackle real-world problems head-on.

Responsibilities:

•Design and execute automated test scripts using Playwright.

•Build and maintain test frameworks for web applications.

•Perform regression, functional, and performance testing.

•Collaborate with developers to resolve defects.

•Ensure CI/CD integration of automated tests.

Skills:

•Strong experience with Playwright automation.

•Knowledge of testing frameworks (PyTest, Jest, Mocha).

•Proficiency in JavaScript/TypeScript or Python.

•Familiarity with CI/CD tools (Jenkins, GitHub Actions).

•Understanding of Agile/Scrum methodologies.

Responsibilities:

•Develop and deploy agentic AI solutions for automation and decision-making.

•Build intelligent agents capable of reasoning, planning, and interacting with environments.

•Integrate AI models with enterprise applications.

•Collaborate with data scientists to fine-tune models.

•Ensure ethical AI practices and compliance.

Skills:

•Strong knowledge of agentic AI frameworks.

•Proficiency in Python and ML libraries (TensorFlow, PyTorch).

•Experience with LLMs and reinforcement learning.

•Familiarity with APIs, cloud AI services, and orchestration tools.

Role: Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 6.5+ years

Skills: C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure

Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure

Functions, Azure Blob storage, Caching, NoSQL Databases

About the role:

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software

that solves real problems. Strives for security, performance, simplicity, usability, and maintainability.

Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution

● Works within established agile methods, promoting an atmosphere of continuous improvement.

● Continuously learns new technologies and patterns and practices.

● Documents knowledge for the benefit of the team.

● Reports to the team on obstacles and roadblocks.

● Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team

meetings.

● Promote patterns and best practices on the team.

● Mentors and guides the less experienced software engineers.

2. Planning and Design

● Works with the product team and stakeholders to refine and document requirements.

● Estimates effort for planning purposes.

● Designs and documents enterprise-level software architecture, consulting with Enterprise

Architecture when appropriate.

3. Development

● Writes code to develop software that meets requirements and specifications.

● Follows established software development life cycle (SLDC).

● Writes code with readability and future maintenance in mind.

● Follows established source control standards and best practices.

● Adheres to established secure coding practices.

● Reviews code for other developers.

● Leads team-based development efforts.

4. Quality Assurance

● Validates QA findings and fixes defects.

● Develops integration and testing points in the software that allow for QA testing.

● Assists QA in running performance and load tests.

5. Release

● Assists with release planning and releases.

6. Support

● Assists the support team as needed, including root cause analysis.

● Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

Solid Understanding of The Following:

● Microservices Architecture:

Confidential. c Foxsense Innovations. 1

● Microservices design principles (bounded contexts, loose coupling)

● API-first design and contract management

● Event-driven design principles

● Asynchronous messaging patterns

● Eventual consistency concepts

● Idempotency and message replay handling

● ASP.NET Core Web API development

● Web Apps

● Azure Kubernetes Service (AKS)

● Azure Blob Storage usage and lifecycle management

● API Gateway / Azure API Management concepts

● Entra (Authentication)

● Azure Service Bus

● Azure Functions

● Caching

● NoSQL DatabasesProcesses & Standards: Git, GitFlow, OO Programming, Kanban, Secure

Coding, & Agile Methodologies

Bonus Skills:

● Excellent written and verbal communication

● Excellent documentation

● Continuous learning

● Collaboration across team and functional boundaries

● Troubleshooting and creative problem solving

● Design simple architecture that supports complex applications and APIs

● Architect extensible databases

● Author complex component-based client applications and restful APIs

● Perform advanced CRUD operations against multiple data sources

● Manipulate enterprise level data structures

● Mentor less experienced team members

● Take ownership of team processes and legacy applications

● Perform business analysis tasks, such as requirements gathering and wireframing

Job description:

Job Description – Full Stack Developer (.NET + React + AI)

Job Title: Full Stack Developer

Experience: 8–12 Years

Location: Chennai / Bangalore / Hyderabad / Pune / Gurgaon (Hybrid)

Employment Type: Contract – 1 Year

Job Summary

We are hiring a Full Stack Developer with strong expertise in Microsoft technologies and modern frontend frameworks. The role involves end-to-end ownership of application development, leading teams, and delivering scalable enterprise solutions integrating Microservices, MFE, and Agentic AI ecosystems.

Key Responsibilities

• Lead end-to-end full stack development using .NET Core/.NET 8, React, Azure
• Drive technical architecture, design reviews, and implementation
• Build scalable Microservices & Micro-Frontend (MFE) architectures
• Develop AI-powered solutions using Agentic AI, Copilot, AutoGen, CrewAI, LangGraph
• Manage Scrum ceremonies and Agile delivery processes
• Own project tracking: dashboards, velocity, burn-down, reporting
• Ensure adherence to SDLC, SOLID principles, and best practices
• Collaborate with cross-functional teams (Architects, BAs, Product Owners, UX)
• Lead and mentor engineering teams; resolve technical/non-technical issues
• Implement CI/CD pipelines and DevOps practices
• Ensure system performance, observability, and reliability

Key Skills RequiredCore Stack

• .NET Core / .NET 8, C#
• React, Redux, TypeScript
• REST APIs, Microservices

Cloud & DevOps

• Azure (App Services, AKS, Functions, Service Bus)
• Docker, Kubernetes
• CI/CD (GitHub, Jenkins, TFS)

AI & Emerging Tech

• Agentic AI
• Microsoft Copilot / Copilot Studio
• OpenAI, AutoGen, CrewAI, LangGraph

Database

• SQL Server, PostgreSQL
• Database design & optimization

Other Skills

• Micro Frontends (MFE)
• Agile (Scrum/Kanban)
• Supply Chain domain knowledge (preferred)

Qualifications

• 8–12 years of full stack development experience
• Strong experience in Microsoft technology ecosystem
• Proven experience in product/application development

Loyalty Juggernaut Inc. (LJI) is a Silicon Valley-based product company, founded by industry veterans with decades of expertise in CRM, Loyalty, and Mobile AdTech. With a global footprint spanning the USA, Europe, UAE, India, and Latin America, we are trusted partners for customer centric enterprises across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

As pioneers in next-generation loyalty and customer engagement solutions, we are not just transforming loyalty—we are redefining it. With a passion for innovation and a commitment to excellence, LJI is reshaping the loyalty landscape, enabling enterprises to create meaningful, long-lasting relationships with their customers. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem.

At the core of our innovation is GRAVTY®, a revolutionary Digital Transformation SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse markets.

Our Impact:

• 400+ million members connected through our platform.
• Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.

Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!

Explore more about us at www.lji.io.

Loyalty Juggernaut is seeking a talented and enthusiastic iOS Mobile Engineer(iOS) with 0-4 years of experience to join our dynamic team in Hyderabad. As a Mobile Engineer (iOS), you will play a key role in designing, developing, and maintaining high-quality mobile applications for iOS platforms. Strong collaboration and communication skills are essential, as you will work closely with various in-house teams, including product management, design, and backend engineering, to deliver exceptional user experiences.

What you will OWN:

• Develop and maintain iOS applications using Swift.
• Collaborate with designers, product managers, and backend developers to build intuitive and user-friendly applications.
• Ensure application performance, quality, and responsiveness.
• Implement clean, maintainable, and scalable code.
• Troubleshoot, debug, and resolve technical issues.
• Stay up-to-date with the latest trends and technologies in iOS development.

You will make a GREAT FIT if you are from Hyderabad and if you have:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 0-4 years of hands-on experience in iOS application development.
• Strong proficiency in Swift, Xcode and iOS SDK
• Experience in leading technical teams and mentoring developers.
• Proficient in building applications using SwiftUI and UIKit.
• Understanding of UI/UX design principles.
• Extensive experience with CoreData and Core Location.
• Solid understanding of design patterns and mobile architecture.
• Experience with RESTful APIs and third-party SDKs like Firebase.
• Strong knowledge of Unit Testing and Test-Driven Development (TDD).
• Experience in working with CI/CD tools like Jenkins, CircleCI, and scripting tools like Fastlane.
• Excellent problem-solving and analytical skills.
• Effective communication and leadership abilities.

Bonus Skills:

• Experience with Jetpack Compose.
• Knowledge of modularization & clean architecture.
• 
  
• Exposure to Firebase (Crashlytics, Analytics, Firestore, Remote Config).
• Understanding of A/B Testing & Feature Flagging.
• Experience with third-party SDKs & analytics tools (Amplitude, Mixpanel, Segment, etc.).
• Knowledge of Flutter development to contribute to cross-platform apps when needed.

Why Choose US?

• This opportunity offers a dynamic and supportive work environment where you'll have the chance to not just collaborate with talented technocrats but also work with globally recognized brands, gain exposure, and carve your own career path.
• You will get to innovate and dabble in the future of technology -Enterprise Cloud Computing, Blockchain, Machine Learning, AI, Mobile, Digital Wallets, and much more.

You can unlock this opportunity soon by applying for this position.

Domestic IT Recruiter

We’re Hiring: Domestic Recruiter (Freshers Welcome!)

Are you passionate about HR and recruitment? Looking to start your career in talent acquisition? This opportunity is for you!

Position: Domestic Recruiter

 Location: Hyderabad

 Experience: Freshers / Entry-level

 Roles & Responsibilities:

Sourcing and screening candidates for domestic requirements

Posting jobs on portals and social media platforms

Coordinating interviews with candidates and hiring managers

Maintaining candidate databases and reports

End-to-end recruitment support

 Requirements:

Any graduate (MBA HR preferred)

Good communication skills

Basic knowledge of recruitment process

Willingness to learn and grow in HR domain

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

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

Job Title: BIM Manager

Job Summary:

Graniti Vicentia is seeking an experienced BIM Manager with 5 to 6 years of expertise in Building Information Modeling (BIM) for interiors and facades. As a key member of our team, you will play a crucial role in managing and leading BIM initiatives related to interior design and facade systems. You will be responsible for overseeing BIM projects, coordinating with multidisciplinary teams, and ensuring the successful execution of BIM processes and standards.

Key Responsibilities:

·        BIM Management: Lead and manage BIM projects related to interior design and facade systems. Establish and enforce BIM standards, protocols, and best practices.

·        Collaboration: Work closely with architects, interior designers, facade engineers, and other stakeholders to coordinate BIM activities, facilitate multidisciplinary collaboration, and resolve conflicts.

·        BIM Modeling: Create and oversee the development of detailed 3D BIM models for interiors and facade systems using Autodesk Revit and other relevant software.

·        Quality Control: Ensure the accuracy, consistency, and quality of BIM models, drawings, and documentation throughout the project lifecycle.

·        Project Delivery: Manage the delivery of BIM content, drawings, and models in accordance with project milestones and deadlines.

·        Training and Development: Mentor and train junior BIM modelers on BIM best practices and standards, with a focus on interiors and facades.

·        Research and Innovation: Stay current with BIM trends, technologies, and emerging industry standards related to interiors and facades. Implement innovative solutions to improve efficiency and productivity.

·        Integration: Foster BIM integration with other project management systems and software platforms, such as BIM 360, Dynamo or similar cloud-based collaboration tools.

·        Documentation: Prepare and review BIM documentation, such as BIM execution plans, project execution plans, and BIM project workflows.

·        Problem Solving: Identify and address challenges related to BIM coordination, modeling, and data exchange, and implement solutions to improve project outcomes.

Qualifications:

·        Bachelor's degree in architecture

·        5 to 6 years of professional experience in BIM modeling with a strong focus on interiors and facades.

·        Proficiency in Autodesk Revit, including experience with family and parameter creation.

·        Strong understanding of BIM principles, standards, and workflows.

·        Excellent communication and collaboration skills to work effectively with cross-functional teams.

·        Leadership and project management skills to oversee BIM projects from initiation to completion.

·        Familiarity with software applications such as AutoCAD, Dynamo and BIM 360 is a plus.

·        Certifications in BIM or Revit are advantageous.

Job Title: BIM Manager

Job Summary:

We are seeking an experienced BIM Manager with 5 to 6 years of expertise in Building Information Modeling (BIM) for interiors and facades. As a key member of our team, you will play a crucial role in managing and leading BIM initiatives related to interior design and facade systems. You will be responsible for overseeing BIM projects, coordinating with multidisciplinary teams, and ensuring the successful execution of BIM processes and standards.

Key Responsibilities:

· BIM Management: Lead and manage BIM projects related to interior design and facade systems. Establish and enforce BIM standards, protocols, and best practices.

· Collaboration: Work closely with architects, interior designers, facade engineers, and other stakeholders to coordinate BIM activities, facilitate multidisciplinary collaboration, and resolve conflicts.

· BIM Modeling: Create and oversee the development of detailed 3D BIM models for interiors and facade systems using Autodesk Revit and other relevant software.

· Quality Control: Ensure the accuracy, consistency, and quality of BIM models, drawings, and documentation throughout the project lifecycle.

· Project Delivery: Manage the delivery of BIM content, drawings, and models in accordance with project milestones and deadlines.

· Training and Development: Mentor and train junior BIM modelers on BIM best practices and standards, with a focus on interiors and facades.

· Research and Innovation: Stay current with BIM trends, technologies, and emerging industry standards related to interiors and facades. Implement innovative solutions to improve efficiency and productivity.

· Integration: Foster BIM integration with other project management systems and software platforms, such as BIM 360, Dynamo or similar cloud-based collaboration tools.

· Documentation: Prepare and review BIM documentation, such as BIM execution plans, project execution plans, and BIM project workflows.

· Problem Solving: Identify and address challenges related to BIM coordination, modeling, and data exchange, and implement solutions to improve project outcomes.

Qualifications:

· Bachelor's degree in architecture

· 5 to 6 years of professional experience in BIM modeling with a strong focus on interiors and facades.

· Proficiency in Autodesk Revit, including experience with family and parameter creation.

· Strong understanding of BIM principles, standards, and workflows.

· Excellent communication and collaboration skills to work effectively with cross-functional teams.

· Leadership and project management skills to oversee BIM projects from initiation to completion.

· Familiarity with software applications such as AutoCAD, Dynamo and BIM 360 is a plus.

· Certifications in BIM or Revit are advantageous.

Responsibilities:

• Post job openings
• Screen candidates
• Schedule interviews
• Follow up with candidates

Requirements:

• 1–3 years experience
• Good communication
• Organized and responsive

Responsibilities :

• Shoot sarees and products (basic product photography)
• Edit photos (crop, color correction)
• Ensure product color matches actual saree
• Maintain daily output targets
• Organize product images properly

Requirements:

• Basic photography skills
• Knowledge of Lightroom / Photoshop
• Attention to detail (color accuracy)
• Speed + consistency

We are looking for a smart and active Operations Coordinator to manage daily business operations across stores and warehouse.

Responsibilities:

• Collect daily reports from stores and warehouse
• Track sales, stock movement, and pending tasks
• Follow up with teams for missing updates
• Ensure smooth coordination between warehouse, stores, and website
• Identify issues and escalate to management
• Maintain discipline in reporting and operations.

Requirements:

• 1–3 years experience (retail / operations preferred)
• Strong follow-up skills
• Basic Excel knowledge
• Good communication (Hindi/English, Telugu preferred)
• Must be proactive and responsible.

Role:

Responsible for handling sales, distributors, and market growth in the assigned area.

Key Responsibilities:

• Achieve sales targets
• Manage distributors and retailers
• Expand new shops/outlets
• Ensure product availability in market
• Monitor competitor activity
• Handle sales team (if any)
• Submit sales reports

Requirements:

• Graduate
• 3–7 years sales experience (footwear/apparel/FMCG)
• Good communication and leadership skills

Job Summary:

We are looking for a dynamic and result-oriented Digital Consultant who will be responsible for connecting with local merchants and helping them grow their business digitally. The role involves understanding the merchant’s current offline business operations and guiding them on how to expand their presence online through our digital solutions and subscription plans.

Key Responsibilities:

Connect with local merchants and business owners to understand their business requirements.

Educate merchants on the benefits of taking their business online and building a digital presence.

Promote and sell subscription-based digital solutions that help merchants start and grow their business online.

Build and maintain strong relationships with merchants to ensure long-term engagement.

Achieve monthly sales and onboarding targets.

Provide basic guidance to merchants on how to use the platform and manage their online business.

Coordinate with internal teams to ensure smooth onboarding and service delivery.

Required Skills:

Good communication and interpersonal skills.

Strong sales and negotiation abilities.

Ability to understand business needs and provide suitable digital solutions.

Comfortable meeting and interacting with local merchants.

Basic understanding of digital platforms and online business tools.

Responsibilities

• Design and implement IAM solutions using SailPoint Identity Security Cloud
• Develop and support provisioning/deprovisioning workflows
• Build and manage application integrations using APIs, connectors, and Java
• Develop and troubleshoot SailPoint rules and customizations
• Configure access requests, approvals, certifications, and role models
• Support Joiner-Mover-Leaver (JML) processes
• Integrate enterprise systems like Active Directory, LDAP, HR systems, and cloud apps
• Develop REST API integrations using Java
• Troubleshoot identity governance and provisioning issues
• Collaborate with security, infrastructure, and application teams
• Support compliance, audit, and access review initiatives

Required Skills

• 4+ years (or as required) in SailPoint Identity Security Cloud / IAM development
• Strong experience in Java / J2EE
• Hands-on with REST APIs, JSON, XML
• Experience with SailPoint connectors and source integrations
• Knowledge of access certifications, RBAC, provisioning
• Experience with SQL and directory services (LDAP/AD)
• Familiarity with Git and CI/CD tools like Jenkins
• Understanding of SAML, OAuth, OIDC is a plus

Preferred Qualifications

• Experience with cloud IAM/security platforms
• SailPoint certifications preferred
• Knowledge of Agile/Scrum delivery
• Exposure to Amazon Web Services / Azure is a plus

About the Role

We are looking for a Cloud Product Owner who will drive the success of the InMotion Cloud platform by translating product strategy into clear, actionable direction for engineering teams. You will own the complete product lifecyclefrom market analysis and roadmap definition to launch and adoption optimization. This role demands a rare blend of technical depth, product thinking, and cross-functional leadership.

You will act as the voice of the customer in all product decisions, partner with engineering to deliver core cloud capabilities, and ensure alignment between technical architecture and business goals.

Responsibilities

• Product Strategy & Vision
• Be the functional and technical expert for how the product works, including underlying features that enable critical user journeys
• Research and analyze current product features and competitive landscape to define new capabilities that enhance sales and profitability
• Translate product strategy into detailed requirements, user stories, and prioritized backlogs
• Identify key pain points in cloud adoption (pricing complexity, performance, support, migration) and incorporate into roadmap
• Customer & Market Insights
• Gather and synthesize feedback from internal and external sources: customers, support, sales, and marketing
• Understand and evaluate current user experience, product usage patterns, and workflows
• Provide recommendations to improve experience and increase adoption
• Act as the primary liaison between engineering, sales, marketing, and support
• Execution & Delivery
• Work directly with engineering teams to deliver core cloud capabilities (compute, storage, networking, orchestration)
• Ensure alignment between technical architecture and customer-facing features
• Drive Agile product development processes: sprint planning, backlog refinement, release management, go-to-market (GTM)
• Analyze and report on team deliverables, milestones, impediments, and successes
• Support product launches, including internal enablement and external positioning
• Growth & Optimization
• Partner with marketing and sales to define messaging, packaging, and pricing strategies
• Track product adoption, usage metrics, and technical performance
• Continuously optimize the offering based on data and customer feedback
• Establish and maintain professional working relationships across all departments and sites

Requirements

• Experience & Knowledge:
• 3-5 years in an engineering leader, product management, or product ownership role, preferably in cloud, hosting, or infrastructure
• Strong understanding of cloud computing fundamentals (IaaS, virtualization, networking, storage)
• Experience working with technical teams in Agile/Scrum environments
• Ability to translate complex technical concepts into clear business value
• Strong analytical and problem-solving skills
• Experience preparing and presenting projections, estimates, and product/program performance reports
• A degree in software engineering, business, or a related field (or equivalent experience)

Skills & Abilities:

• Excellent written, verbal, and interpersonal communication skills
• Ability to communicate effectively across teams and departments
• Ability to work in a fast-paced, multi-faceted role, take initiative, and multi-task on complex projects
• Strong organizational skills with attention to detail
• Ability to meet deadlines and manage competing priorities

1. Recruitment Support 

∙Coordinate with hiring managers and HR Manager to understand staffing needs. 

∙Source resumes, schedule interviews, and maintain candidate databases. 

∙Support local outreach efforts and job postings. 

2. HR Operations & Administration 

∙Maintain up-to-date employee records (both digital and physical). 

∙Assist with onboarding, orientation, and exit formalities. 

∙Handle HR documentation, ID cards, and attendance tracking. 

3. Payroll Assistance & Compliance 

∙Collect and prepare payroll inputs such as attendance, leaves, and shift data. 

∙Support the HR Manager in statutory filings (PF, ESI, PT). 

∙Ensure timely data submissions to finance and compliance bodies. 

4. Employee Relations 

∙Be a point of contact for employee queries regarding HR policies, leaves, and payroll. 

∙Assist the HR Manager in handling grievances and policy communication. 

5. Training & Documentation 

∙Help coordinate internal training sessions and maintain records. 

∙Maintain training calendars and collect feedback from sessions. 

6. Reporting & Data Entry 

∙Prepare basic HR reports and maintain trackers (leave, recruitment, employee details). 

∙Use MS Excel for attendance, overtime, and HR metrics. 

Basic Qualifications

• BA/BS Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

• 3–5 years of professional software engineering experience with a strong focus on frontend / UI development.

• Strong proficiency in React and TypeScript.

• Solid understanding of HTML5, CSS3, and modern JavaScript (ES6+).

• Experience integrating frontend applications with GraphQL APIs.

• Familiarity with microservices architectures and frontend–backend integration patterns.

• Experience with Git and collaborative development workflows.

• Hands-on experience using AI-assisted development tools in day-to-day engineering work.

Preferred Qualifications

• Experience working with or alongside NestJS-based microservices.

• Familiarity with GraphQL client libraries such as Apollo Client.

• Experience with frontend testing tools including Jest, React Testing Library, Cypress, or Playwright.

• Exposure to frontend performance optimization techniques (lazy loading, code splitting, memoization).

• Familiarity with design systems, accessibility tooling, and component-driven development.

• Exposure to LLM APIs, agent frameworks, or AI-enabled frontend automation.

Suggested Skills

• React / TypeScript

• GraphQL (Apollo Client)

• UI Architecture & Design Systems

• Frontend Testing (Jest, RTL, MSW)

• Build & Tooling (Webpack, ESLint, Prettier)

• CI/CD for Frontend

• AI-assisted Software Development & Automation

Additional Information

• AI-assisted development is a core expectation for this role.

• The team builds modern UI systems backed by GraphQL, NestJS microservices, and intelligent automation.

• This role offers opportunities to deepen frontend expertise while influencing how AI improves

Job Title : UI Software Engineer

Experience : 5+ Years

Location : Pune / Hyderabad

Work Mode : Hybrid

Employment Type : Contractual (6 Months + Extendable)

🚀 About the Role :

We are looking for a UI Software Engineer to build scalable, high-performance web applications using modern frontend technologies. You will work closely with product, design, and backend teams to deliver seamless user experiences while leveraging AI-assisted development tools.

🔥 Mandatory Skills :

React + TypeScript, GraphQL (Apollo Client), Jest/React Testing Library (MSW), Webpack/CI-CD, AI tools (GitHub Copilot/Cursor), microservices integration.

🔧 Key Responsibilities :

• Develop and deliver user-facing features using React & TypeScript.
• Build reusable, scalable UI components aligned with design systems.
• Integrate frontend with GraphQL (Apollo Client) and microservices.
• Collaborate with designers to implement pixel-perfect UI from Figma.
• Ensure performance, accessibility (WCAG), and cross-browser compatibility.
• Write unit/component tests using Jest & React Testing Library.
• Maintain frontend tooling (Webpack, ESLint, Prettier, CI/CD).
• Use AI tools (GitHub Copilot, Cursor AI) to improve productivity.
• Contribute to AI-driven automation (UI testing, component generation, etc.).

🧠 Required Skills :

• Strong experience in React + TypeScript.
• Hands-on with GraphQL (Apollo Client).
• Solid knowledge of HTML, CSS, JavaScript (ES6+).
• Experience with frontend testing (Jest, RTL, MSW).
• Familiarity with microservices architecture.
• Exposure to AI-assisted development tools.

⭐ Good to Have :

• Experience with NestJS backend integration.
• Knowledge of Cypress / Playwright.
• Exposure to LLMs / AI automation / agent workflows.
• Understanding of performance optimization & design systems.

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

Key Responsibilities:

• Work on highly distributed and scalable system architecture

• Design, develop, test, and maintain high-quality software solutions

• Ensure performance, security, and maintainability of applications

• Collaborate with cross-functional teams and stakeholders

• Perform system testing and resolve technical issues

Required Skills:

• Strong experience in ASP.NET, C#, .NET Core, MVC

• Hands-on experience with SQL Server / PostgreSQL

• Experience in Angular / React (Frontend technologies)

• Knowledge of microservices architecture & RESTful APIs

• Familiarity with CQRS pattern

• Exposure to AWS / Docker / Kubernetes

• Experience with CI/CD pipelines (Azure DevOps, Jenkins)

• Knowledge of Node.js is an added advantage

• Understanding of Agile methodology

• Good exposure to cybersecurity and compliance

Technology Stack:

• Microsoft .NET technologies (primary)

• Cloud platforms: AWS (SaaS/PaaS/IaaS)

• Databases: MSSQL, MongoDB, PostgreSQL

• Caching: Redis, Memcached

• Messaging queues: RabbitMQ, Kafka, SQS

Hiring: Customer Relationship Executive – Hyderabad

We are looking for a Customer Relationship Executive to manage customer interactions for our School Management Software at Assentcode Technologies.

Key Focus

• Strong communication skills (English + Telugu or English + Hindi)
• Ability to handle customer queries with clarity and confidence
• Good listening and problem-solving approach

Role Overview

• Handle customer enquiries via calls, messages, and emails
• Provide clear and accurate information about the product
• Follow up with customers to ensure issue resolution
• Maintain records of customer interactions and updates
• Coordinate with internal teams for quick support

Additional Expectations

• Maintain a professional and polite tone with customers
• Ability to manage multiple conversations and priorities
• Adapt to a fast-paced startup environment

Eligibility

• Fresher to 1 year experience
• Based in Hyderabad
• Immediate joiners preferred

Ideal Candidate

• Customer-focused with a positive attitude
• Good communication and interpersonal skills
• Responsible and consistent in follow-ups

Hiring: Support Analyst (Data Entry Focus) – Hyderabad

We are looking for a Support Analyst to work on our School Management Software at Assentcode Technologies.

Key Focus

• Strong data entry skills (most important)
• High accuracy and attention to detail
• Ability to handle and organize large sets of data

Role Overview

• Collect, clean, and upload data into the system
• Work with data from Excel, PDFs, and forms
• Ensure data accuracy and timely completion
• Support customers during data setup and usage
• Coordinate with internal teams for issue resolution

Additional Expectations

• Basic communication with clients
• Willingness to travel for implementation support
• Ability to adapt in a fast-paced startup environment

Eligibility

• Fresher to 1 year experience
• B.Sc. background preferred (non-engineering)
• Based in Hyderabad
• Immediate joiners preferred

Ideal Candidate

• Detail-oriented and disciplined
• Fast learner with ownership mindset
• Comfortable handling repetitive data tasks

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

We’re Hiring: Domestic Recruiter (Freshers Welcome!)

Are you passionate about HR and recruitment? Looking to start your career in talent acquisition? This opportunity is for you!

Position: Domestic Recruiter

 Location: Hyderabad

 Experience: Freshers / Entry-level

 Roles & Responsibilities:

Sourcing and screening candidates for domestic requirements

Posting jobs on portals and social media platforms

Coordinating interviews with candidates and hiring managers

Maintaining candidate databases and reports

End-to-end recruitment support

 Requirements:

Any graduate (MBA HR preferred)

Good communication skills

Basic knowledge of recruitment process

Willingness to learn and grow in HR domain

Strong Enterprise Data Modeller profile (Modern Data Platforms)

Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms

Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools

Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.

Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.

Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams

Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.

Mandatory (Note) – Total experience should not be greater than 14 years

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

Data Engineer  

Overview 

We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making. 

Our core data platform stack includes: 

Data Platform & Lakehouse 

• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries 
• Unity Catalog for metadata management and governance 
• Terradata for data warehouse and business intelligence.

Stream & Event Processing 

• Apache Kafka for real-time event ingestion 
• Structured Streaming for continuous data processing 
• Delta Live Tables for declarative, quality-enforced pipelines  

Data Quality 

• Delta Live Tables expectations for data validation 
• Data profiling and anomaly detection 

Key Responsibilities 

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake 
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics 
• Integrate Kafka event streams with Databricks for real-time operational state updates 
• Implement data quality checks using Delta Live Tables expectations 
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata) 
• Optimize pipeline performance, reliability, and cost efficiency 
• Write clean, well-documented, and testable code following engineering best practices 
• Collaborate with ML engineers to deliver feature-engineered datasets 
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives 
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.

Preferred Qualifications 

• 7+ years of hands-on data engineering experience 
• Track record of building and maintaining production-grade data pipelines 
• Experience with Delta Live Tables for declarative pipeline development 
• Experience working in agile, cross-functional teams 
• Familiarity with time-series data patterns and operational data modelling 

Highly Desirable 

• Experience building data pipelines for digital twin or simulation platforms 
• Familiarity with operational state modeling for real-time systems 
• Exposure to physics-informed or time-series ML feature engineering 
• Experience working with distributed, multidisciplinary teams 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

The Machine Learning Engineer will play a critical role in supporting Bell Techlogix clients by building, operating, and optimizing AI solutions in a managed services environment. This role focuses on delivering reliable, secure, and scalable AI capabilities across Microsoft AI platforms, Kore.ai conversational AI, and ServiceNow, while also supporting broader AI initiatives and the AI Center of Excellence. 

Key Responsibilities 

•Design, deploy, and support machine learning and AI solutions in production, SLA-driven managed services environments 

•Provide operational support for AI platforms including incident response, troubleshooting, and root cause analysis 

•Monitor AI and ML model performance, data quality, and drift; implement retraining and optimization strategies 

•Build and maintain MLOps pipelines supporting model training, validation, deployment, and rollback 

•Develop and support AI workloads using Microsoft Azure AI, Azure Machine Learning, Azure OpenAI, and Copilot extensibility 

•Design, train, and optimize virtual assistants enterprise workflows 

•Implement and support AI capabilities including Predictive Intelligence, Virtual Agent, and AI Search 

•Collaborate with service desk, engineering, security, and platform teams to drive automation and continuous service improvement 

•Act as a technical escalation point for AI-related client issues and enhancement requests 

•Contribute to AI innovation initiatives, proofs of concept, and reusable solution patterns within Bell Techlogix 

Required Qualifications 

•Bachelor’s degree in Computer Science, Data Science, Machine Learning, or equivalent practical experience 

•5+ years of experience in machine learning engineering, AI development, or applied data science 

•Strong proficiency in Python, SQL, and API-based integrations 

•Hands-on experience supporting machine learning models in production environments 

•Experience working in managed services, consulting, or enterprise IT environments 

•Strong understanding of cloud platforms (Microsoft Azure preferred) 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, or Azure OpenAI 

•Hands-on experience with Kore.ai XO Platform or enterprise conversational AI 

•Experience implementing or supporting ServiceNow AI/ML, Predictive Intelligence, or Virtual Agent 

•Familiarity with MLOps, CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, ARM) 

•Knowledge of Responsible AI, data governance, and enterprise security practices 

•Relevant certifications (Microsoft, ServiceNow, Kore.ai) 

Job Summary:

We are looking for a skilled and motivated .NET Full Stack Developer with strong expertise in .NET Core, React, and Microservices architecture. The ideal candidate will be responsible for designing, developing, and maintaining scalable, high-performance applications while collaborating with cross-functional teams.

Key Responsibilities:

• Design, develop, and maintain web applications using .NET Core / ASP.NET Core and React.js
• Build and implement microservices-based architecture for scalable systems
• Develop and consume RESTful APIs
• Collaborate with UI/UX designers to implement responsive and user-friendly interfaces
• Ensure code quality through unit testing, code reviews, and best practices
• Work with databases such as SQL Server / NoSQL databases
• Optimize applications for maximum speed and scalability
• Participate in Agile ceremonies like sprint planning, stand-ups, and retrospectives
• Troubleshoot and debug production issues

Required Skills:

• Strong experience in C#, .NET Core, ASP.NET Core
• Hands-on experience with React.js, JavaScript, HTML, CSS
• Solid understanding of Microservices architecture
• Experience in building and consuming REST APIs
• Knowledge of Entity Framework / ORM tools
• Experience with SQL Server / PostgreSQL / MongoDB
• Familiarity with Git / version control systems
• Understanding of design patterns and clean architecture

Strong Databricks / AWS Data Architect profile

Mandatory (Experience 1) – Must have minimum 5+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives

Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations

Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security

Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns

Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing

Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies

Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management

Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns

Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption