50+ Python Jobs in Hyderabad | Python Job openings in Hyderabad

Job Description:

Title : Python AWS Developer with API

Tech Stack : AWS API gateway, Lambda functionality, Oracle RDS, SQL & database management, (OOPS) principles, Java script, Object relational Mapper, Git, Docker, Java dependency management, CI/CD, AWS cloud & S3, Secret Manager, Python, API frameworks, well-versed with Front and back end programming (python).

Responsibilities: 

·      Worked on building high-performance APIs using AWS services and Python. Python coding, debugging programs and integrating app with third party web services.

·      Troubleshoot and debug non-prod defects, back-end development, API, main focus on coding and monitoring applications.

·      Core application logic design.

·      Supports dependency teams in UAT testing and perform functional application testing which includes postman testing

🔍 Job Description:

We are looking for an experienced and highly skilled Technical Lead to guide the development and enhancement of a large-scale Data Observability solution built on AWS. This platform is pivotal in delivering monitoring, reporting, and actionable insights across the client's data landscape.

The Technical Lead will drive end-to-end feature delivery, mentor junior engineers, and uphold engineering best practices. The position reports to the Programme Technical Lead / Architect and involves close collaboration to align on platform vision, technical priorities, and success KPIs.

🎯 Key Responsibilities:

• Lead the design, development, and delivery of features for the data observability solution.
• Mentor and guide junior engineers, promoting technical growth and engineering excellence.
• Collaborate with the architect to align on platform roadmap, vision, and success metrics.
• Ensure high quality, scalability, and performance in data engineering solutions.
• Contribute to code reviews, architecture discussions, and operational readiness.

🔧 Primary Must-Have Skills (Non-Negotiable):

• 5+ years in Data Engineering or Software Engineering roles.
• 3+ years in a technical team or squad leadership capacity.
• Deep expertise in AWS Data Services: Glue, EMR, Kinesis, Lambda, Athena, S3.
• Advanced programming experience with PySpark, Python, and SQL.
• Proven experience in building scalable, production-grade data pipelines on cloud platforms.

Backend Developer – Go & Rust

Experience: 0–1 Year

Tech Stack: Go, Rust, Python, Node.js

Location: Remote / Hybrid (optional)

Compensation: 4.2-4.8 LPA

About the Role

We’re looking for a backend developer who’s excited to work with modern technologies like Go and Rust to build scalable, high-performance systems. If you enjoy solving low-level performance challenges, designing APIs, and writing clean, efficient code — we want you on the team.

Responsibilities

• Design and build robust backend services using Go and Rust
• Work with APIs, databases, and real-time systems
• Write clean, maintainable, and testable code
• Collaborate with frontend developers and product teams
• Participate in code reviews and architecture discussions

Requirements

• 0–1 year of experience in backend development
• Proficiency in Go and/or Rust (personal or academic projects count!)
• Understanding of REST APIs, data structures, and concurrency
• Strong problem-solving and debugging skills
• Willingness to learn fast and take ownership

Nice to Have

• Experience with Python, Node.js or Docker
• Contributions to open source or personal tech projects
• Familiarity with cloud platforms (AWS, GCP, etc.)

Mandatory Criteria

• Candidate must have Strong hands-on experience with Kubernetes of at least 1+ years in production environments.
• Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Candidate should have strong Backend experience.
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer with 3–5 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

• Design and develop scalable, reliable backend services and cloud-native applications.
• Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
• Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
• Implement and manage CI/CD pipelines and infrastructure automation.
• Collaborate with frontend, DevOps, and product teams in an agile environment.
• Ensure high code quality through testing, reviews, and documentation.

Required Skills

• Strong hands-on experience with Kubernetes of atleast 1+ years in production environments (mandatory).
• Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Solid understanding of distributed systems, microservices, and cloud-native architecture.
• Experience with containerization using Docker and Kubernetes-native deployment workflows.
• Working knowledge of SQL and relational databases.

Preferred Qualifications

• Experience working across multiple cloud platforms.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

Nice to Have

• Knowledge of NoSQL databases or event-driven/message-based architectures.
• Experience with serverless services, managed data pipelines, or data lake platforms.

Position Overview

We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot framework
• Build robust web services and APIs using Python and Flask framework
• Implement event-driven architectures using NATS messaging server
• Deploy, manage, and optimize applications in Kubernetes environments
• Develop microservices following best practices and design patterns
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code with comprehensive documentation
• Participate in code reviews and contribute to technical architecture decisions
• Troubleshoot and optimize application performance in containerized environments
• Implement CI/CD pipelines and follow DevOps best practices
•  
• Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)
•  
• Skills & Competencies
• Skills Java (Spring Boot, Spring Cloud, Spring Security)
•  
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking
• Strong communication and collaboration
• Self-motivated with ability to work independently
• Attention to detail and code quality
• Continuous learning mindset
• Team player with mentoring capabilities

Role: Python Developer

Location: HYD , BLR,

Experience : 6+ Years

Skills needed:

Python developer experienced 5+ Years in designing, developing, and maintaining scalable applications with a strong focus on API integration. Must demonstrate proficiency in RESTful API consumption, third-party service integration, and troubleshooting API-related issues.

Tableau Server Administrator (10+ Yrs Exp.) 📊🔒

📍Location: Remote

🗓️ Experience: 10+ years

MandatorySkills & Qualifications:

1. Proven expertise in Tableau architecture, clustering, scalability, and high availability.

2. Proficiency in PowerShell, Python, or Shell scripting.

3. Experience with cloud platforms (AWS, Azure, GCP) and Tableau Cloud.

4. Familiarity with database systems (SQL Server, Oracle, Snowflake).

5. Any certification Plus.

About NxtWave:

NxtWave is one of India’s fastest-growing edtech startups, transforming the way students learn and build careers in tech. With a strong community of learners across the country, we’re building cutting-edge products that make industry-ready skills accessible and effective at scale.

What will you do:

• Build and ship full-stack features end-to-end (frontend, backend, data).
• Own your code – from design to deployment with CI/CD pipelines.
• Make key architectural decisions and implement scalable systems.
• Lead code reviews, enforce clean code practices, and mentor SDE-1s.
• Optimize performance across frontend (Lighthouse) and backend (tracing, metrics)
• Ensure secure, accessible, and SEO-friendly applications.
• Collaborate with Product, Design, and Ops to deliver fast and effectively.
• Work in a fast-paced, high-impact environment with rapid release cycles.

What we are expecting:

• 3–5 years of experience building production-grade full-stack applications.
• Proficiency in React (or Angular/Vue), TypeScript, Node.js / NestJS / Django / Spring Boot.
• Strong understanding of REST/GraphQL APIs, relational & NoSQL databases.
• Experience with Docker, AWS (Lambda, EC2, S3, API Gateway), Redis, Elasticsearch.
• Solid testing experience – unit, integration, and E2E (Jest, Cypress, Playwright).
• Strong problem-solving, communication, and team collaboration skills.
• Passion for learning, ownership, and building great software.

Location: Hyderabad (In-office)

Apply here:- https://forms.gle/QeoNC8LmWY6pwckX9

Why NxtWave

As a Fullstack SDE1 at NxtWave, you

• Get first hand experience of building applications and see them released quickly to the NxtWave learners (within weeks)
• Get to take ownership of the features you build and work closely with the product team
• Work in a great culture that continuously empowers you to grow in your career
• Enjoy freedom to experiment & learn from mistakes (Fail Fast, Learn Faster)
• NxtWave is one of the fastest growing edtech startups. Get first-hand experience in scaling the features you build as the company grows rapidly
• Build in a world-class developer environment by applying clean coding principles, code architecture, etc.

Responsibilities

• Design, implement, and ship user-centric features spanning frontend, backend, and database systems under guidance.
• Define and implement RESTful/GraphQL APIs and efficient, scalable database schemas.
• Build reusable, maintainable frontend components using modern state management practices.
• Develop backend services in Node.js or Python, adhering to clean-architecture principles.
• Write and maintain unit, integration, and end-to-end tests to ensure code quality and reliability.
• Containerize applications and configure CI/CD pipelines for automated builds and deployments.
• Enforce secure coding practices, accessibility standards (WCAG), and SEO fundamentals.
• Collaborate effectively with Product, Design, and engineering teams to understand and implement feature requirements..
• Own feature delivery from planning through production, and mentor interns or junior developers.
• 
  

Qualifications & Skills

• 1+ years of experience building full-stack web applications.
• Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3 (Flexbox/Grid).
• Advanced experience with React (Hooks, Context, Router) or equivalent modern UI framework.
• Hands-on with state management patterns (Redux, MobX, or custom solutions).
• Strong backend skills in Node.js (Express/Fastify) or Python (Django/Flask/FastAPI).
• Expertise in designing REST and/or GraphQL APIs and integrating with backend services.
• Solid knowledge of MySQL/PostgreSQL and familiarity with NoSQL stores (Elasticsearch, Redis).
• Experience using build tools (Webpack, Vite), package managers (npm/Yarn), and Git workflows.
• Skilled in writing and maintaining tests with Jest, React Testing Library, Pytest, and Cypress.
• Familiar with Docker, CI / CD tools (GitHub Actions, Jenkins), and basic cloud deployments.
• Product-first thinker with strong problem-solving, debugging, and communication skills.
• 
  

Qualities we'd love to find in you:

• The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software
• Strong collaboration abilities and a flexible & friendly approach to working with teams
• Strong determination with a constant eye on solutions
• Creative ideas with problem solving mind-set
• Be open to receiving objective criticism and improving upon it
• Eagerness to learn and zeal to grow
• Strong communication skills is a huge plus

Work Location: Hyderabad

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Job Summary:

We are looking for a skilled and motivated Python AWS Engineer to join our team. The ideal candidate will have strong experience in backend development using Python, cloud infrastructure on AWS, and building serverless or microservices-based architectures. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable and secure applications in the cloud.

Key Responsibilities:

• Develop and maintain backend applications using Python and frameworks like Django or Flask
• Design and implement serverless solutions using AWS Lambda, API Gateway, and other AWS services
• Develop data processing pipelines using services such as AWS Glue, Step Functions, S3, DynamoDB, and RDS
• Write clean, efficient, and testable code following best practices
• Implement CI/CD pipelines using tools like CodePipeline, GitHub Actions, or Jenkins
• Monitor and optimize system performance and troubleshoot production issues
• Collaborate with DevOps and front-end teams to integrate APIs and cloud-native services
• Maintain and improve application security and compliance with industry standards

Required Skills:

• Strong programming skills in Python
• Solid understanding of AWS cloud services (Lambda, S3, EC2, DynamoDB, RDS, IAM, API Gateway, CloudWatch, etc.)
• Experience with infrastructure as code (e.g., CloudFormation, Terraform, or AWS CDK)
• Good understanding of RESTful API design and microservices architecture
• Hands-on experience with CI/CD, Git, and version control systems
• Familiarity with containerization (Docker, ECS, or EKS) is a plus
• Strong problem-solving and communication skills

Preferred Qualifications:

• Experience with PySpark, Pandas, or data engineering tools
• Working knowledge of Django, Flask, or other Python frameworks
• AWS Certification (e.g., AWS Certified Developer – Associate) is a plus

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field

We are looking for a dedicated and proactive QA Engineer with 3–4 years of experience in both manual and automation testing. The ideal candidate should be detail-oriented and ready to take ownership of the product’s quality by actively contributing to testing strategies, writing automation scripts, and collaborating closely with cross-functional teams.

This role is ideal for someone who is strong in manual testing and has experience writing automation test scripts, even if they are still building their understanding of complete automation frameworks. As part of their growth, we expect candidates to develop framework knowledge to eventually automate full test suites.

Key Responsibilities:

• Design and execute manual test cases based on requirements, user stories, and acceptance criteria.
• Write automation test scripts for UI/API layers using tools and languages like Selenium, Java, Python, or JavaScript (any framework knowledge is welcome).
• Collaborate with developers, product owners, and QA team members during Agile sprints.
• Prepare and maintain test documentation, including test cases, test reports, and checklists.
• Track and manage bugs and issues using tools such as JIRA or ClickUp.
• Perform API testing using Postman, REST clients, or similar tools.
• Participate in release processes, including preparing release notes and verifying successful deployments.
• Take ownership of testing and be willing to drive the QA process end-to-end, ensuring product quality at every stage.
• Perform cross-browser and platform testing, data validation, and backend checks using SQL.
• Contribute to the long-term improvement of QA processes and test coverage.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3–4 years of hands-on experience in manual testing and writing automation scripts.
• Strong understanding of STLC, SDLC, Agile methodology, and the defect life cycle.
• Basic to intermediate knowledge of automation tools such as Selenium or similar; ability to write automation scripts.
• Willingness to learn and gain experience in automation frameworks (e.g., TestNG, JUnit, BDD frameworks, etc.).
• Familiarity with API testing tools like Postman or REST Assured.
• Good knowledge of SQL for database-level testing.
• Experience with bug tracking and test management tools like JIRA and ClickUp.
• Excellent communication skills, strong analytical and problem-solving abilities.
• Ability to own the product's quality and work proactively with minimal supervision.

Nice to Have:

• Exposure to CI/CD tools (e.g., Jenkins, GitHub Actions).
• Experience with version control systems like Git.
• Mobile testing experience is a plus.

Who Should Apply

• 3–4 years of experience in manual testing and writing automation scripts
• Familiar with Selenium or similar tools; eager to learn test frameworks
• Strong in API testing (Postman) and SQL for backend validation
• Hands-on with JIRA, ClickUp, or similar tools
• Willing to own product quality and drive testing independently
• Based in Hyderabad or open to relocating (on-site role)

 Perks & Benefits

• Competitive salary & performance bonuses
• Direct ownership of features and real startup exposure
• Letter of Recommendation

Note: The final CTC will be decided based on the candidate's skills, experience, and performance during the interview process. We are open to rewarding talent that brings value, ownership, and a growth mindset to the team.

Role Overview:

We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.

Key Responsibilities:

• Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
• Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
• Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
• Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
• Mentor junior engineers, perform code reviews, and promote engineering best practices.
• Stay current with evolving technologies in cloud, big data, and healthcare data standards.
• Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).

Required Skills & Qualifications:

• 4+ years of hands-on experience in data engineering roles.
• Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
• Proficient in Python for data processing and automation.
• Experience with Azure Databricks (or readiness to ramp up quickly).
• Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
• Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
• Familiarity with containerization tools like Docker and orchestration using Kubernetes.
• Exposure to CI/CD pipelines for data applications.
• Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
• Excellent problem-solving abilities and a proactive mindset.
• Strong communication and interpersonal skills to work in cross-functional teams.

Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc. 2. Deep Learning Frameworks: PyTorch, spaCy, Keras 3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers 4. Experience in working with Image processing, computer vision is must 5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,keras etc.,.) , LangChain, Flask, FastAPI, prompt engineering. 6. Programming experience in Python 7. Strong written and verbal communications 8. Excellent interpersonal and collaboration skills.

Good-to-Have 1. Experience working with vectored databases and graph representation of documents. 2. Experience with building or maintaining MLOps pipelines. 3. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is preferred. 4. Exposure to Docker, Kubernetes

SN Role descriptions / Expectations from the Role

1 Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

Job Title : Senior Python Developer

Experience : 7+ Years

Location : Remote or Hybrid (Gurgaon / Coimbatore / Hyderabad)

Job Summary :

We are looking for a highly skilled and motivated Senior Python Developer to join our dynamic engineering team.

The ideal candidate will have a strong foundation in web application development using Python and related frameworks. A passion for writing clean, scalable code and solving complex technical challenges is essential for success in this role.

Mandatory Skills : Python (3.x), FastAPI or Flask, PostgreSQL or Oracle, ORM, API Microservices, Agile Methodologies, Clean Code Practices.

Required Skills and Qualifications :

• 7+ Years of hands-on experience in Python (3.x) development.
• Strong proficiency in FastAPI or Flask frameworks.
• Experience with relational databases like PostgreSQL, Oracle, or similar, along with ORM tools.
• Demonstrated experience in building and maintaining API-based microservices.
• Solid grasp of Agile development methodologies and version control practices.
• Strong analytical and problem-solving skills.
• Ability to write clean, maintainable, and well-documented code.

Nice to Have :

• Experience with Google Cloud Platform (GCP) or other cloud providers.
• Exposure to Kubernetes and container orchestration tools.

Desired Competencies (Technical/Behavioral Competency)

Must-Have 1. Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.

2. Deep Learning Frameworks: PyTorch, spaCy, Keras

3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers

4. Experience in working with Image processing, computer vision is must

5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,kerasetc.,.) , LangChain, Flask,FastAPI, prompt engineering.

6. Programming experience in Python

7. Strong written and verbal communications

8. Excellent interpersonal and collaboration skills.

Good-to-Have 1. Experience working with vectored databases and graph representation of documents.

2. Experience with building or maintaining MLOpspipelines.

3. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is preferred.

4. Exposure to Docker, Kubernetes

We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as:
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.
• 
  

Required Skills:

• 4–8 years of hands-on experience in Python for backend or data engineering projects.
• Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
• Solid understanding of data pipeline architecture, data integration, and transformation techniques.
• Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
• Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

Job Title: AI Solutioning Architect – Healthcare IT

Role Summary:

The AI Solutioning Architect leads the design and implementation of AI-driven solutions across the organization, ensuring alignment with business goals and healthcare IT standards. This role defines the AI/ML architecture, guides technical execution, and fosters innovation using platforms like Google Cloud (GCP).

Key Responsibilities:

• Architect scalable AI solutions from data ingestion to deployment.
• Align AI initiatives with business objectives and regulatory requirements (HIPAA).
• Collaborate with cross-functional teams to deliver AI projects.
• Lead POCs, evaluate AI tools/platforms, and promote GCP adoption.
• Mentor technical teams and ensure best practices in MLOps.
• Communicate complex concepts to diverse stakeholders.

Qualifications:

• Bachelor’s/Master’s in Computer Science or related field.
• 12+ years in software development/architecture with strong AI/ML focus.
• Experience in healthcare IT and compliance (HIPAA).
• Proficient in Python/Java and ML frameworks (TensorFlow, PyTorch).
• Hands-on with GCP (preferred) or other cloud platforms.
• Strong leadership, problem-solving, and communication skills.

Python Developer Job Description

A Python Developer is responsible for designing, developing, and deploying software applications using the Python programming language. Here's a brief overview:

Key Responsibilities

- Software Development: Develop high-quality software applications using Python.

- Problem-Solving: Solve complex problems using Python programming language.

- Code Maintenance: Maintain and update existing codebases to ensure they remain efficient and scalable.

- Collaboration: Collaborate with cross-functional teams to identify and prioritize project requirements.

- Testing and Debugging: Write unit tests and debug applications to ensure high-quality code.

Technical Skills

- Python: Strong understanding of Python programming language and its ecosystem.

- Programming Fundamentals: Knowledge of programming fundamentals, including data structures, algorithms, and object-oriented programming.

- Frameworks and Libraries: Familiarity with popular Python frameworks and libraries, such as Django, Flask, or Pandas.

- Database Management: Understanding of database management systems, including relational databases and NoSQL databases.

- Version Control: Knowledge of version control systems, including Git.

About NxtWave

NxtWave is one of India’s fastest-growing ed-tech startups, reshaping the tech education landscape by bridging the gap between industry needs and student readiness. With prestigious recognitions such as Technology Pioneer 2024 by the World Economic Forum and Forbes India 30 Under 30, NxtWave’s impact continues to grow rapidly across India.

Our flagship on-campus initiative, NxtWave Institute of Advanced Technologies (NIAT), offers a cutting-edge 4-year Computer Science program designed to groom the next generation of tech leaders, located in Hyderabad’s global tech corridor.

Know more:

🌐 NxtWave | NIAT

About the Role

As a PhD-level Software Development Instructor, you will play a critical role in building India’s most advanced undergraduate tech education ecosystem. You’ll be mentoring bright young minds through a curriculum that fuses rigorous academic principles with real-world software engineering practices. This is a high-impact leadership role that combines teaching, mentorship, research alignment, and curriculum innovation.

Key Responsibilities

• Deliver high-quality classroom instruction in programming, software engineering, and emerging technologies.
• Integrate research-backed pedagogy and industry-relevant practices into classroom delivery.
• Mentor students in academic, career, and project development goals.
• Take ownership of curriculum planning, enhancement, and delivery aligned with academic and industry excellence.
• Drive research-led content development, and contribute to innovation in teaching methodologies.
• Support capstone projects, hackathons, and collaborative research opportunities with industry.
• Foster a high-performance learning environment in classes of 70–100 students.
• Collaborate with cross-functional teams for continuous student development and program quality.
• Actively participate in faculty training, peer reviews, and academic audits.

Eligibility & Requirements

• Ph.D. in Computer Science, IT, or a closely related field from a recognized university.
• Strong academic and research orientation, preferably with publications or project contributions.
• Prior experience in teaching/training/mentoring at the undergraduate/postgraduate level is preferred.
• A deep commitment to education, student success, and continuous improvement.

Must-Have Skills

• Expertise in Python, Java, JavaScript, and advanced programming paradigms.
• Strong foundation in Data Structures, Algorithms, OOP, and Software Engineering principles.
• Excellent communication, classroom delivery, and presentation skills.
• Familiarity with academic content tools like Google Slides, Sheets, Docs.
• Passion for educating, mentoring, and shaping future developers.

Good to Have

• Industry experience or consulting background in software development or research-based roles.
• Proficiency in version control systems (e.g., Git) and agile methodologies.
• Understanding of AI/ML, Cloud Computing, DevOps, Web or Mobile Development.
• A drive to innovate in teaching, curriculum design, and student engagement.

Why Join Us?

• Be at the forefront of shaping India’s tech education revolution.
• Work alongside IIT/IISc alumni, ex-Amazon engineers, and passionate educators.
• Competitive compensation with strong growth potential.
• Create impact at scale by mentoring hundreds of future-ready tech leaders.

About Cognida.ai:

Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.

Position: Python Fullstack Architect

Location: Hyderabad

Job Summary

We’re seeking a seasoned Python Fullstack Architect with 15+ years of experience to lead solution design, mentor teams, and drive technical excellence across projects. You'll work closely with stakeholders, contribute to architecture governance, and integrate modern technologies across the stack.

Key Responsibilities

• Design and review Python-based fullstack solution architectures.
• Guide development teams on best practices, modern frameworks, and cloud-native patterns.
• Engage with clients to translate business needs into scalable technical solutions.
• Stay current with tech trends and contribute to internal innovation initiatives.

Required Skills

• Strong expertise in Python (Django/Flask/FastAPI) and frontend frameworks (React, Angular, etc.).
• Cloud experience (AWS, Azure, or GCP) and DevOps/CI-CD setup.
• Familiarity with enterprise tools: RabbitMQ, Kafka, OAuth2, PostgreSQL, MongoDB.
• Solid understanding of microservices, API design, batch/stream processing.
• Strong leadership, mentoring, and architectural problem-solving skills.

Mandatory Criteria :

• Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.
• Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Candidate should have strong Backend experience.
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

• Design and develop scalable, reliable backend services and cloud-native applications.
• Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
• Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
• Implement and manage CI/CD pipelines and infrastructure automation.
• Collaborate with frontend, DevOps, and product teams in an agile environment.
• Ensure high code quality through testing, reviews, and documentation.

Required Skills

• Strong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).
• Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Solid understanding of distributed systems, microservices, and cloud-native architecture.
• Experience with containerization using Docker and Kubernetes-native deployment workflows.
• Working knowledge of SQL and relational databases.

Preferred Qualifications

• Experience working across multiple cloud platforms.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

Nice to Have

• Knowledge of NoSQL databases or event-driven/message-based architectures.
• Experience with serverless services, managed data pipelines, or data lake platforms.

We’re looking for a strong QA Engineer with 5+ years hands-on experience in Python to join a fast-paced team and contribute from Day 1.

What you’ll be doing:

🔹 Jump directly into writing Python scripts for web and API automation

🔹 Maintain and extend a Selenium automation framework developed in Python

🔹 Collaborate with developers and product teams to ensure high-quality releases

🔹Own testing for core modules and APIs

Must-Have Skills:

✅ Strong functional QA background

✅ Proficiency in 𝐏𝐲𝐭𝐡𝐨𝐧 (𝐓𝐡𝐢𝐬 𝐢𝐬 𝐚 𝐦𝐮𝐬𝐭)

✅ Hands-on experience with Selenium automation using Python

✅ Ability to work with and manage existing Python-based automation frameworks

✅ Experience in Web and API testing

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.

About the Role:

We are seeking a Technical Architect with proven expertise in full-stack web development, cloud infrastructure, and system design. You will lead the design and delivery of scalable enterprise applications, drive technical decision-making, and mentor a cross-functional development team. The ideal candidate has a strong foundation in .NET-based architecture, modern front-end frameworks, and cloud-native technologies.

Key Responsibilities:

• Lead the technical architecture, system design, and full-stack development of enterprise-grade web applications.
• Design and develop robust backend systems and APIs using .NET Core / C# / Python, following TDD/BDD principles.
• Build modern frontends using React.js, TypeScript, and optionally Angular, ensuring responsive and accessible UI.
• Architect scalable, secure, and highly available solutions using cloud platforms such as Azure, AWS, or GCP.
• Guide and review CI/CD pipeline creation and DevOps practices, leveraging tools like Azure DevOps, Git, Docker, etc.
• Oversee database design and optimization for relational and NoSQL systems like MSSQL, PostgreSQL, MongoDB, CosmosDB.
• Mentor developers and collaborate with cross-functional teams including Product Owners, QA, and DevOps.
• Ensure best practices in code quality, security, performance, and compliance.
• Lead application monitoring, error tracking, and infrastructure tuning for production-grade deployments.
• Required Skills:
• 10+ years of experience in software development, with 3+ years in architectural or technical leadership roles.
• Strong expertise in .NET Core, C#, React.js, TypeScript, HTML5, CSS3, and JavaScript.
• Good exposure to Python for backend services or data pipelines.
• Cloud platform experience in at least one or more: Azure, AWS, or Google Cloud Platform (GCP).
• Proficient in designing and consuming RESTful APIs, and working with metadata-driven and microservices architecture.
• Strong understanding of DevOps, CI/CD, and deployment strategies using tools like Git, Docker, Azure DevOps.
• Familiarity with frontend frameworks like Angular or Vue.js is a plus.
• Proficient with databases: MSSQL, PostgreSQL, MySQL, MongoDB, CosmosDB.
• Comfortable working on Linux/UNIX and Windows-based servers, along with web servers like Nginx, Apache, IIS.
• Good to Have:
• Experience in CRM, ERP, or E-commerce platforms.
• Familiarity with AI/ML integration and working with data science teams.
• Exposure to mobile development using React Native.
• Experience integrating third-party tools like Slack, Microsoft Teams, etc.
• Soft Skills:
• Strong problem-solving mindset with a proactive and innovative approach.
• Excellent communication and leadership abilities.
• Capability to mentor junior engineers and drive a high-performance team culture.
• Adaptability to work in fast-paced, Agile environments.

Educational Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
• Microsoft / Cloud certifications are a plus.

We are seeking a highly skilled and motivated MLOps Engineer with 3-5 years of experience to join our engineering team. The ideal candidate should possess a strong foundation in DevOps or software engineering principles with practical exposure to machine learning operational workflows. You will be instrumental in operationalizing ML systems, optimizing the deployment lifecycle, and strengthening the integration between data science and engineering teams.

Required Skills:

• Hands-on experience with MLOps platforms such as MLflow and Kubeflow.

• Proficiency in Infrastructure as Code (laC) tools like Terraform or Ansible.

• Strong familiarity with monitoring and alerting frameworks (Prometheus, Grafana, Datadog, AWS CloudWatch).

• Solid understanding of microservices architecture, service discovery, and load balancing.

• Excellent programming skills in Python, with experience in writing modular, testable, and maintainable code.

• Proficient in Docker and container-based application deployments.

• Experience with CI/CD tools such as Jenkins or GitLab Cl.

• Basic working knowledge of Kubernetes for container orchestration.

• Practical experience with cloud-based ML platforms such as AWS SageMaker, Databricks, or Google Vertex Al.

Good-to-Have Skills:

• Awareness of security practices specific to ML pipelines, including secure model endpoints and data protection.

• Experience with scripting languages like Bash or PowerShell for automation tasks.

• Exposure to database scripting and data integration pipelines.

Experience & Qualifications:

• 3-5+ years of experience in MLOps, Site Reliability Engineering (SRE), or

Software Engineering roles.

• At least 2+ years of hands-on experience working on ML/Al systems in production settings.

Role descriptions / Expectations from the Role

·        6-7 years of IT development experience with min 3+ years hands-on experience in Snowflake

·        Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers.

·        Strong experience with building productionized data ingestion and data pipelines in Snowflake

·        Good knowledge of Snowflake's architecture, features likie  Zero-Copy Cloning, Time Travel, and performance tuning capabilities

·        Should have good exp on Snowflake RBAC and data security.

·        Strong experience in Snowflake features including new snowflake features.

·        Should have good experience in Python/Pyspark.

·        Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF)

·        Should have experience/knowledge in orchestration and scheduling tools experience like Airflow

·        Should have good understanding on ETL or ELT processes and ETL tools.

5+ years of IT development experience with min 3+ years hands-on experience in Snowflake · Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers. · Strong experience with building productionized data ingestion and data pipelines in Snowflake · Good knowledge of Snowflake's architecture, features likie Zero-Copy Cloning, Time Travel, and performance tuning capabilities · Should have good exp on Snowflake RBAC and data security. · Strong experience in Snowflake features including new snowflake features. · Should have good experience in Python/Pyspark. · Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF) · Should have experience/knowledge in orchestration and scheduling tools experience like Airflow · Should have good understanding on ETL or ELT processes and ETL tools.

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)

Job Description :

We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.

The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.

Key Responsibilities :

• Design and manage containerization and orchestration using Docker & Kubernetes.
• Automate deployments and infrastructure tasks using Ansible & Python.
• Build and maintain CI/CD pipelines for streamlined software delivery.
• Collaborate with development teams to integrate DevOps best practices.
• Monitor, troubleshoot, and optimize system performance.
• Enforce security best practices in containerized environments.
• Provide operational support and contribute to continuous improvements.

Required Qualifications :

• Bachelor’s in Computer Science/IT or related field.
• 4+ years of DevOps experience.
• Proficiency in Python and Ansible.
• Expertise in Docker and Kubernetes.
• Hands-on experience with CI/CD tools and pipelines.
• Experience with at least one cloud provider (AWS, Azure, or GCP).
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications :

• Experience with Infrastructure-as-Code tools like Terraform.
• Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
• Understanding of Agile/Scrum practices.

About the role

Meltwater’s collaborative Security Team needs a passionate Security Engineer to continue to advance Meltwater’s security. Working with a group of fun loving people who are genuinely excited and passionate about security, there will be more laughs than facepalms! If you believe that improving security is about constantly moving technology forward to be more secure, and shifting security tools and checks earlier in the development lifecycle, then you’ll feel at home on Meltwater’s Security Team! 

At Meltwater we want to ensure that we can have autonomous, empowered and highly efficient teams. Our Security Team charges head on into the challenge of ensuring our teams can maintain their autonomy without compromising the security of our systems, services and data. Through enablement and collaboration with teams, Security Engineers ensure that our development and infrastructure practices have security defined, integrated and implemented in a common-sense manner that reduces risk for our business. Security Engineers define best practices, build tools, implement security checks and controls together with the broader Engineering and IT teams to ensure that our employees and our customers' data stays safe. 

As part of this, we leverage AWS as a key component of our cloud infrastructure. Security Engineers play a critical role in securing and optimizing AWS environments by implementing best practices, automating security controls, and collaborating with teams to ensure scalability, resilience, and compliance with industry standards. 

Responsibilities 

• In this role, you will be designing and implementing security functions ranging from checks on IaC (Infrastructure as Code) to SAST/DAST scanners in our CI/CD pipelines.
• You will be collaborating closely with almost every part of the Meltwater organization and help create security impact across all teams with strong support from the business. 
• Collaborate closely with teams to help identify and implement frictionless security controls throughout the software development lifecycle 
• Propose and implement solutions to enhance the overall cloud infrastructure and toolset.
• Perform ongoing security testing, including static (SAST), dynamic (DAST), and penetration testing, along with code reviews, vulnerability assessments, and regular security audits to identify risks, improve security, and develop mitigation strategies. 
• Educate and share knowledge around secure coding practices 
• Identify applicable industry best practices and consult with development teams on methods to continuously improve the risk posture. 
• Build applications that improve our security posture and monitoring/alerting capabilities
• Implement and manage security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, and security information and event management (SIEM) tools.
• Conduct vulnerability assessments, penetration testing, and regular security audits to identify risks and develop mitigation strategies. 
• Monitor and respond to security incidents and alerts, performing root cause analysis and incident handling.
• Participate in incident response and disaster recovery planning, testing, and documentation.
• Manage identity and access management (IAM) solutions to enforce least privilege and role-based access controls (RBAC). 
• Assist in the development of automated security workflows using scripting (Python, Bash, or similar).

Skills and background 

• Strong collaboration skills with experience working cross functionally with a diverse group of stakeholders
• Strong communication skills with the ability to provide technical guidance to both technical and non-technical audiences 
• Experience in implementing security controls early in the software development life cycle
• Knowledge of industry accepted security best practices/standards/policies such as NIST, OWASP, CIS, MITRE&ATT@CK 
• Software developer experience in one or more of the following languages: JavaScript, Java, Kotlin or Python
• Experience in at least one public cloud provider, preferably AWS, with experience in security, infrastructure, and automation. 
• Hands-on experience with SIEM platforms such as Splunk, QRadar, or similar. 
• Proficiency in Linux operating system, network security, including firewalls, VPNs, IDS/IPS, and monitoring tools. 
• Experience with vulnerability management tools (Snyk, Nessus, Dependabot) and penetration testing tools (Kali Linux, Metasploit). 
• Experience in forensics and malware analysis. 
• Self motivated learner that continuously wants to share knowledge to improve others 
• The ideal candidate is someone from a Software Development background with a passion for security.

If you’re someone who understands the value of introducing security early in the software development lifecycle, and want to do so by enabling and empowering teams by building tools they WANT to use, we want to hear from you!

Job Title : Python Data Engineer

Experience : 4+ Years

Location : Bangalore / Hyderabad (On-site)

Job Summary :

We are seeking a skilled Python Data Engineer to work on cloud-native data platforms and backend services.

The role involves building scalable APIs, working with diverse data systems, and deploying containerized services using modern cloud infrastructure.

Mandatory Skills : Python, AWS, RESTful APIs, Microservices, SQL/PostgreSQL/NoSQL, Docker, Kubernetes, CI/CD (Jenkins/GitLab CI/AWS CodePipeline)

Key Responsibilities :

• Design, develop, and maintain backend systems using Python.
• Build and manage RESTful APIs and microservices architectures.
• Work extensively with AWS cloud services for deployment and data storage.
• Implement and manage SQL, PostgreSQL, and NoSQL databases.
• Containerize applications using Docker and orchestrate with Kubernetes.
• Set up and maintain CI/CD pipelines using Jenkins, GitLab CI, or AWS CodePipeline.
• Collaborate with teams to ensure scalable and reliable software delivery.
• Troubleshoot and optimize application performance.

Must-Have Skills :

• 4+ years of hands-on experience in Python backend development.
• Strong experience with AWS cloud infrastructure.
• Proficiency in building microservices and APIs.
• Good knowledge of relational and NoSQL databases.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools and DevOps processes.
• Strong problem-solving and collaboration skills.

Job Title: Optimization Scientist – Route & Inventory Optimization (OR & RL)

Location: Hyderabad (On-site)

Experience Required: 1+ year

Company Overview:

We are a leading AI-driven supply chain solutions company focused on transforming retail, FMCG, and logistics through cutting-edge technologies in machine learning, operations research, and reinforcement learning. Our mission is to build intelligent systems that enhance decision-making and automate processes across forecasting, inventory, and transportation.

Internship Overview:

We are seeking a passionate and motivated AI/ML Intern to support the development of intelligent optimization systems for route planning and inventory allocation. You will work alongside experienced scientists and engineers, gaining hands-on experience in applying machine learning, reinforcement learning, and operations research to real-world logistics challenges.

Key Responsibilities:

🔹 Assist in Route Optimization Projects:

• Support in modeling and solving simplified versions of Vehicle Routing Problems (VRP) under guidance.
• Work with Python libraries like Pyomo or OR-Tools to prototype optimization solutions.
• Explore reinforcement learning methods (e.g., DQN, PPO) for dynamic routing decisions under uncertainty.

🔹 Support Inventory Optimization Efforts:

• Learn to model multi-echelon inventory systems using basic OR and simulation techniques.
• Analyze historical data to understand stock levels, service times, and demand variability.
• Help design experiments to evaluate replenishment strategies and stocking policies.

🔹 Contribute to AI-Driven Decision Systems:

• Assist in integrating ML forecasting models with optimization pipelines.
• Participate in the development or testing of simulation environments for training RL agents.
• Collaborate with the team to evaluate model performance using historical or synthetic datasets.

Required Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or related field.
• Good understanding of Python and key libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Familiarity with basic optimization concepts (LP/MILP) and libraries like OR-Tools or Gurobi (student license).
• Basic knowledge of reinforcement learning frameworks (OpenAI Gym, Stable-Baselines3) is a plus.
• Strong problem-solving skills and willingness to learn advanced AI/OR techniques.

What You’ll Gain:

• Hands-on exposure to real-world AI and optimization use cases in logistics and supply chain.
• Mentorship from experienced scientists in OR, ML, and RL.
• Experience working in a fast-paced, applied research environment.
• Opportunity to convert to a full-time role based on performance and business needs.

About WINIT:

WINIT is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience. We serve more than 600 global enterprises, helping them enhance efficiency, streamline logistics, and leverage AI/ML to optimize sales operations. With a commitment to innovation and global support, WINIT continues to lead digital transformation in sales.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

Assist in the design, development, and deployment of cloud-native applications using AWS services (e.g., Lambda, S3, DynamoDB, EC2, CloudFormation).

Work under senior developers/architects to implement solutions aligned with cloud best practices.

Write clean, scalable, and secure code in Python/JavaScript/Java (based on project requirements).

Contribute to CI/CD pipelines using tools like Code Pipeline, Code Build, and GitHub Actions.

Monitor and troubleshoot cloud workloads using AWS CloudWatch, X-Ray, and logging tools.

Participate in cloud migration, data pipeline development, or ML model deployment (based on your specialization).

Document processes, code, and architectural decisions.

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬:

B.Tech/M.Tech in Computer Science, IT, Engineering, or related field.

AWS Specialty Certification (required), any one or more of the following

Security – Specialty

Data Analytics – Specialty

Machine Learning – Specialty

Database – Specialty

Strong understanding of AWS core services and basic hands-on experience (projects, labs, internships).

Proficiency in at least one programming language (e.g., Python, JavaScript, Java).

Familiarity with Git and agile development practices.

Eagerness to learn, collaborate, and work in a cloud-native environment.

𝐆𝐨𝐨𝐝 𝐭𝐨 𝐇𝐚𝐯𝐞:

Experience with AWS Free Tier or sandbox projects.

Knowledge of Terraform or AWS CDK.

Exposure to containerization (Docker, ECS, or EKS).

Participation in cloud-related hackathons or open-source projects.

Job Title : IBM Sterling Integrator Developer

Experience : 3 to 5 Years

Locations : Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, Pune

Employment Type : Full-Time

Job Description :

We are looking for a skilled IBM Sterling Integrator Developer with 3–5 years of experience to join our team across multiple locations.

The ideal candidate should have strong expertise in IBM Sterling and integration, along with scripting and database proficiency.

Key Responsibilities :

• Develop, configure, and maintain IBM Sterling Integrator solutions.
• Design and implement integration solutions using IBM Sterling.
• Collaborate with cross-functional teams to gather requirements and provide solutions.
• Work with custom languages and scripting to enhance and automate integration processes.
• Ensure optimal performance and security of integration systems.

Must-Have Skills :

• Hands-on experience with IBM Sterling Integrator and associated integration tools.
• Proficiency in at least one custom scripting language.
• Strong command over Shell scripting, Python, and SQL (mandatory).
• Good understanding of EDI standards and protocols is a plus.

Interview Process :

• 2 Rounds of Technical Interviews.

Additional Information :

• Open to candidates from Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, and Pune.

Job Summary

The Security Analyst is responsible for ensuring the security and integrity of the organization's information systems and data. This role involves identifying and mitigating security risks, reviewing project security requirements, and maintaining compliance with security standards. The Security Analyst will also focus on detection engineering by designing systems to detect malicious activities and implementing automation technologies to streamline security operations, including vulnerability management and incident response.

General Duties and Responsibilities

• Identify and ensure mitigation of information security risks within the organization.
• Review requests for adherence to security policies, ensuring requests are executed correctly.
• Identify security incidents and respond to ensure threats and risks are contained.
• Maintain integrity of security controls, toolsets, and other security-relevant services.
• Develop and analyze security reports, and build presentations as required.
• Monitor and audit systems for security violations, vulnerabilities, and abnormalities.
• Develop, implement, and maintain alignment with security control frameworks.
• Assist with incident handling and other incident response activities, as required.
• Implement and evaluate the effectiveness of data loss prevention (DLP) policies and detections.
• Create actionable alerts based on detected threats to prompt immediate response from concerned teams.
• Implement automation technologies to streamline security operations such as vulnerability management and incident response.

Educational and Certification Requirements

• A degree in Cybersecurity, Information Technology, Computer Science, or related field is desirable. Industry recognized certifications are a plus, including CISSP, CISM, CEH, CompTIA Security+, etc. Certifications from public cloud providers (AWS, Azure, Google, Oracle) is a plus.
• General Knowledge, Skills, and Abilities
• An Information Security Analyst should possess a working level understanding of controls (e.g., access control, auditing, authentication, encryption, and system integrity). Experience with Microsoft Active Directory, encryption algorithms, network monitoring, TCP/IP networks, and intrusion detection/prevention systems is important. Skills in scripting with PowerShell, Python, or Bash are a plus.

General Knowledge, Skills, and Abilities

• A working level understanding of controls (e.g., access control, auditing, authentication, encryption, and system integrity).
• Versed in operating systems such as Linux (various distributions) and Microsoft Windows.
• Experience with Microsoft Active Directory, encryption and algorithms, authorization and authentication mechanisms/software, network monitoring, TCP/IP networks, DNS, next generation firewalls, and intrusion detection/prevention systems.
• General knowledge of network design and common network protocols, and infrastructure systems.
• Ability to create scripts to automate processes in PowerShell, Python or Bash is a plus.
• Ability to recognize and analyze malware.
• Ability to analyze large data sets and identify patterns and anomalies.
• Ability to quickly create and deploy countermeasures or mitigations under pressure.
• Build effective relationships. Develop and use collaborative relationships to facilitate the accomplishment of work goals.
• Experience with the PCI-DSS, ISO-27001, and/or SOC II compliance frameworks is a plus.
• Experience implementing and measuring security controls aligned with NIST 800-53 and the Center for Internet Security (CIS) is a plus.
• Project Management skills is a plus.
• Experience with the following technologies is a plus: SentinelOne Singularity Platform, Tanium, Google Chronicle SIEM, Cloudflare L3-L7 security technologies, Tenable.io, Lacework, Recorded Future, KnowBe4, ServiceNow, Jira, Microsoft Defender for Endpoints, Microsoft Security and Compliance, Microsoft Azure Key Vault.
• Experience with the native security service solutions for public cloud service providers (AWS, Google, Azure, Oracle) is a plus.

AccioJob is conducting an offline hiring drive in partnership with Our Partner Company to hire Junior Business/Data Analysts for an internship with a Pre-Placement Offer (PPO) opportunity.

Apply, Register and select your Slot here: https://go.acciojob.com/69d3Wd

Job Description:

• Role: Junior Business/Data Analyst (Internship + PPO)
• Work Location: Hyderabad
• Internship Stipend: 15,000 - 25,000/month
• Internship Duration: 3 months
• CTC on PPO: 5 LPA - 6 LPA

Eligibility Criteria:

• Degree: Open to all academic backgrounds
• Graduation Year: 2023, 2024, 2025

Required Skills:

• Proficiency in SQL, Excel, Power BI, and basic Python
• Strong analytical mindset and interest in solving business problems with data

Hiring Process:

1. Offline Assessment at AccioJob Skill Centres (Hyderabad, Pune, Noida)
2. 1 Assignment + 2 Technical Interviews (Virtual; In-person for Hyderabad candidates)

Note: Please bring your laptop and earphones for the test.

Register Here: https://go.acciojob.com/69d3Wd

AccioJob is organizing an exclusive offline hiring drive in collaboration with GameBerry Labs for the role of Software Development Engineer 1 (SDE 1).

To Apply, Register and select your Slot here: https://go.acciojob.com/Zq2UnA

Job Description:

• Role: SDE 1
• Work Location: Bangalore
• CTC: 10 LPA - 15 LPA

Eligibility Criteria:

• Education: B.Tech, BE, BCA, MCA, M.Tech
• Branches: Circuit Branches (CSE, ECE, IT, etc.)
• Graduation Year:
• 2024 (Minimum 9 months of experience)
• 2025 (Minimum 3-6 months of experience)

Evaluation Process:

1. Offline Assessment at AccioJob Skill Centres (Hyderabad, Bangalore, Pune, Noida)
2. Technical Interviews (2 Rounds - Virtual for most; In-person for Bangalore candidates)

Note: Carry your laptop and earphones for the assessment.

Register Here: https://go.acciojob.com/Zq2UnA

Job Title: Full Stack Developer - SDE 2

Responsibilities

• Lead design and delivery of complex end-to-end features across frontend, backend, and data layers.
• Make strategic architectural decisions on frameworks, datastores, and performance patterns.
• Review and approve pull requests, enforcing clean-code guidelines, SOLID principles, and design patterns.
• Build and maintain shared UI component libraries and backend service frameworks for team reuse.
• Identify and eliminate performance bottlenecks in both browser rendering and server throughput.
• Instrument services with metrics and logging, driving SLIs, SLAs, and observability.
• Define and enforce comprehensive testing strategies: unit, integration, and end-to-end.
• Own CI/CD pipelines, automating builds, deployments, and rollback procedures.
• Ensure OWASP Top-10 mitigations, WCAG accessibility, and SEO best practices.
• Partner with Product, UX, and Ops to translate business objectives into technical roadmaps.
• Facilitate sprint planning, estimation, and retrospectives for predictable deliveries.
• Mentor and guide SDE-1s and interns; participate in hiring.

Qualifications & Skills

• 3–5 years building production Full stack applications end-to-end with measurable impact.
• Proven leadership in Agile/Scrum environments with a passion for continuous learning.
• Deep expertise in React (or Angular/Vue) with TypeScript and modern CSS methodologies.
• Proficient in Node.js (Express/NestJS) or Python (Django/Flask/FastAPI) or Java (Spring Boot).
• Expert in designing RESTful and GraphQL APIs and scalable database schemas.
• Knowledge of MySQL/PostgreSQL indexing, NoSQL (ElasticSearch/DynamoDB), and caching (Redis).
• Knowledge of Containerization (Docker) and commonly used AWS services such as lambda, ec2, s3, apigateway etc.
• Skilled in unit/integration (Jest, pytest) and E2E testing (Cypress, Playwright).
• Frontend profiling (Lighthouse) and backend tracing for performance tuning.
• Secure coding: OAuth2/JWT, XSS/CSRF protection, and familiarity with compliance regimes.
• Strong communicator able to convey technical trade-offs to non-technical stakeholders.
• Experience in reviewing pull requests and providing constructive feedback to the team.

Qualities we'd love to find in you:

• The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software
• Strong collaboration abilities and a flexible & friendly approach to working with teams
• Strong determination with a constant eye on solutions
• Creative ideas with problem solving mind-set
• Be open to receiving objective criticism and improving upon it
• Eagerness to learn and zeal to grow
• Strong communication skills is a huge plus

Work Location: Hyderabad

Job Title: Full Stack Developer - SDE 1

Responsibilities

• Design, implement, and ship user-centric features spanning frontend, backend, and database systems under guidance.
• Define and implement RESTful/GraphQL APIs and efficient, scalable database schemas.
• Build reusable, maintainable frontend components using modern state management practices.
• Develop backend services in Node.js or Python, adhering to clean-architecture principles.
• Write and maintain unit, integration, and end-to-end tests to ensure code quality and reliability.
• Containerize applications and configure CI/CD pipelines for automated builds and deployments.
• Enforce secure coding practices, accessibility standards (WCAG), and SEO fundamentals.
• Collaborate effectively with Product, Design, and engineering teams to understand and implement feature requirements..
• Own feature delivery from planning through production, and mentor interns or junior developers.

Qualifications & Skills

• 1+ years of experience building full-stack web applications.
• Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3 (Flexbox/Grid).
• Advanced experience with React (Hooks, Context, Router) or equivalent modern UI framework.
• Hands-on with state management patterns (Redux, MobX, or custom solutions).
• Strong backend skills in Node.js (Express/Fastify) or Python (Django/Flask/FastAPI).
• Expertise in designing REST and/or GraphQL APIs and integrating with backend services.
• Solid knowledge of MySQL/PostgreSQL and familiarity with NoSQL stores (Elasticsearch, Redis).
• Experience using build tools (Webpack, Vite), package managers (npm/Yarn), and Git workflows.
• Skilled in writing and maintaining tests with Jest, React Testing Library, Pytest, and Cypress.
• Familiar with Docker, CI / CD tools (GitHub Actions, Jenkins), and basic cloud deployments.
• Product-first thinker with strong problem-solving, debugging, and communication skills.

Qualities we'd love to find in you:

• The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software
• Strong collaboration abilities and a flexible & friendly approach to working with teams
• Strong determination with a constant eye on solutions
• Creative ideas with problem solving mind-set
• Be open to receiving objective criticism and improving upon it
• Eagerness to learn and zeal to grow
• Strong communication skills is a huge plus

Work Location: Hyderabad

• Design and implement cloud solutions, build MLOps on Azure
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Data science models testing, validation and tests automation
• Deployment of code and pipelines across environments
• Model performance metrics
• Service performance metrics
• Communicate with a team of data scientists, data engineers and architect, document the processes

Position of the role

The Principal Engineer reports to the Domain Lead and plays a key role in driving the technical vision, strategy, and execution of development initiatives. The Principal Engineer collaborates with multiple teams to ensure that software solutions are scalable, cost-optimized, performant, and aligned with business objectives.

Result expectation in terms of result areas and core activities

The Principal Engineer is responsible for defining, designing, and overseeing the implementation of complex software solutions. This role involves deep technical expertise, mentorship, and architectural guidance across multiple teams. The Principal Engineer also acts as a thought leader, influencing technology choices, best practices, and innovation within the organization.

Main objectives of the role

✔ Leading the design and architecture of the software by following best practices that ensure scalability, maintainability, cost optimization, and high performance.

✔ Driving innovation and continuous improvements in software development practices.

✔ Providing technical mentorship and coaching to engineers across teams.

✔ Ensuring the successful delivery of high-quality software aligned with business requirements.

✔ Defining and maintaining coding standards, best practices, and governance frameworks.

✔ Collaborating with product management and other stakeholders to shape the technical roadmap.

✔ Identifying technical debt and implementing strategies to mitigate it effectively.

✔ Promoting a culture of continuous learning, knowledge sharing, and cross-team collaboration.

✔ Leading DevOps, CI/CD, and automation to improve software delivery processes and efficiency.

Specialisation

✔ Deep understanding of software architecture, system design, and performance optimization.

✔ Translating complex business requirements into scalable and efficient software solutions.

✔ Handling large data transformations and ensuring system efficiency under the required load conditions.

✔ Leading initiatives for modernizing the technology stack and implementing best practices.

✔ Ensuring that security, scalability, and maintainability are embedded into development processes.

✔ Driving research and development efforts to explore emerging technologies and their business impact.

✔ Enabling teams to develop and maintain high-quality software through code reviews, architecture guidance, and technical strategy.

✔ Collaborating with product owners and stakeholders to ensure that development aligns with business goals and user needs.

Key processes in the role

✔ Agile / Scrum / Kanban development methodologies.

✔ CI/CD and DevOps practices to streamline delivery.

✔ Cloud-native architecture, monolith and microservices-based development.

✔ Scalable and high-performance computing strategies.

✔ Secure software development lifecycle (SDLC).

✔ Data-driven decision-making.

✔ Performance optimization.

Key relationships (teams and/or position titles)

✔ Engineering Teams (Developers, QA, DevOps).

✔ Head of Engineering and Technology Leadership.

✔ Product Management and Business Stakeholders.

✔ Customer Success and Solution Architects.

✔ External Technical Partners and Vendors.

Requirements

✔ Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.

✔ 10+ years of experience in software development, with a proven track record .

✔ Strong experience in Python and modern software engineering practices.

✔ Expertise in cloud computing platforms (AWS, Azure, or GCP).

✔ Experience in architecting and developing scalable, high-performance applications.

✔ Hands-on experience with CI/CD pipelines, DevOps tools, and automation.

✔ Deep understanding of microservices, monolith, APIs, and distributed systems.

✔ Strong experience with database technologies, including SQL and NoSQL.

✔ Excellent communication and leadership skills, with the ability to influence technical decisions across teams.

✔ A passion for mentoring, coaching, and fostering a strong engineering culture.

✔ Experience in defining and implementing technical governance and best practices.

Competences

✔ Strategic Thinking - 4

✔ Analytical Problem Solving - 4

✔ Technical Leadership & Mentorship - 4

✔ Communication & Collaboration - 3

Measures of success

✔ Technical leadership impact - measurable improvements in code quality, architecture, and scalability.

✔ Delivery of high-quality software within agreed timelines and business requirements.

✔ Successful mentorship - improvement in team skill levels, problem-solving capabilities, and innovation.

✔ Reduction of technical debt through strategic refactoring and modernization.

✔ Engineering team satisfaction - based on feedback and collaboration effectiveness.

✔ Improvements in system performance, stability, cost-optimization, and security.

✔ Adoption of best practices and emerging technologies across teams.

✔ Contribution to company-wide strategic initiatives through technical innovation and leadership.

Job Title: Senior AI Engineer 

Job Summary: 

We are seeking experienced Senior AI Engineers to join our AI team and drive the design, development, and deployment of cutting-edge AI solutions. You will work on exciting projects, such as sentiment analysis for support tickets, automated data insights, conversational interfaces, and zero-touch planning using AI. This role requires close collaboration with cross-functional teams, including Product and Data Engineering, to deliver impactful AI-driven features that transform our platform. 

Key Responsibilities: 

• Design, develop, deploy, and maintain ML models and AI infrastructure. 
• Collaborate with cross-functional teams to integrate ML models into production workflows. 
• Utilize AWS services, including Sage Maker and Bedrock, for model deployment and real-time monitoring. 
• Implement and manage CI/CD pipelines to ensure efficient and reliable model deployment. 
• Stay updated with the latest advancements in machine learning and AI best practices. 
• Monitor and optimise model performance, addressing issues related to scalability and efficiency. 
• Troubleshoot and resolve problems related to ML models and infrastructure. 

Requirements: 

• 5+ years of professional experience with Python programming. 
• Hands-on experience with Machine Learning Operations (MLOps). 
• Proven expertise in data engineering and ETL processes. 
• Strong knowledge of AWS services, including Sage Maker 3wand Bedrock. 
• Proficiency in setting up and managing Docker and CI/CD pipelines. 
• Experience with large language models (LLMs) and prompt engineering. 
• Familiarity with model performance monitoring and optimization techniques. 
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. 

Desired Competencies (Technical/Behavioral Competency)

Must-Have

1. Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.
2. Deep Learning Frameworks: PyTorch, spaCy, Keras
3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers
4. Experience in working with Image processing, computer vision is must
5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,kerasetc.,.) , LangChain, Flask,FastAPI, prompt engineering.
6. Programming experience in Python
7. Strong written and verbal communications
8. Excellent interpersonal and collaboration skills.

Role descriptions / Expectations from the Role

Design and implement scalable and efficient data architectures to support generative AI workflows.

Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

Apply prompt engineer techniques as required by the use case

Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

What You'll Do:

Design, develop, and deploy machine learning models for real-world applications

Work with large datasets, perform data preprocessing, feature engineering, and model evaluation

Collaborate with cross-functional teams to integrate ML solutions into production

Stay up to date with the latest ML/AI research and technologies

What We’re Looking For:

Solid experience with Python and popular ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)

Experience with data pipelines, model deployment, and performance tuning

Familiarity with cloud platforms (AWS/GCP/Azure) is a plus

Strong problem-solving and analytical skills

Excellent communication and teamwork abilities

Desired Competencies (Technical/Behavioral Competency)

Must-Have

1. Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP
2. Stay up to date on the latest AI emergences relevant to the business domain.
3. Conduct research and development processes for AI strategies.

4.     Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

5.     Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus

Good-to-Have

1. Have knowledge of software development methodologies, such as Agile or Scrum
2. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
3. Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
4. Ensure the quality of code and applications through testing, peer review, and code analysis.
5. Root cause analysis and bugs correction
6. Familiarity with version control systems, preferably Git.
7. Experience with building or maintaining cloud-native applications.
8. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus

Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

AccioJob is conducting a Walk-In Hiring Drive with a reputed global IT consulting company at AccioJob Skill Centres for the position of Infrastructure Engineer, specifically for female candidates.

To Apply, Register and select your Slot here: https://go.acciojob.com/kcYTAp

We will not consider your application if you do not register and select slot via the above link.

Required Skills: Linux, Networking, One scripting language among Python, Bash, and PowerShell, OOPs, Cloud Platforms (AWS, Azure)

Eligibility:

• Degree: B.Tech/BE
• Branch: CSE Core With Cloud Certification
• Graduation Year: 2024 & 2025

Note: Only Female Candidates can apply for this job opportunity

Work Details:

• Work Mode: Work From Office
• Work Location: Bangalore & Coimbatore
• CTC: 11.1 LPA

Evaluation Process:

• Round 1: Offline Assessment at AccioJob Skill Centre in Noida, Pune, Hyderabad.

• Further Rounds (for Shortlisted Candidates only)

1. HackerRank Online Assessment
2. Coding Pairing Interview
3. Technical Interview
4. Cultural Alignment Interview

Important Note: Please bring your laptop and earphones for the test.

Register here: https://go.acciojob.com/kcYTAp

AccioJob is conducting a Walk-In Hiring Drive with a reputed global IT consulting company at AccioJob Skill Centres for the position of Data Engineer, specifically for female candidates.

To Apply, Register and select your Slot here: https://go.acciojob.com/8p9ZXN

We will not consider your application if you do not register and select slot via the above link.

Required Skills: Python, Database(MYSQL), Big Data(Spark, Kafka)

Eligibility:

• Degree: B.Tech/BE
• Branch: CSE – AI & DS / AI & ML
• Graduation Year: 2024 & 2025

Note: Only Female Candidates can apply for this job opportunity

Work Details:

• Work Mode: Work From Office
• Work Location: Bangalore & Coimbatore
• CTC: 11.1 LPA

Evaluation Process:

• Round 1: Offline Assessment at AccioJob Skill Centre in Noida, Pune, Hyderabad.

• Further Rounds (for Shortlisted Candidates only)

1. HackerRank Online Assessment
2. Coding Pairing Interview
3. Technical Interview
4. Cultural Alignment Interview

Important Note: Please bring your laptop and earphones for the test.

Register here: https://go.acciojob.com/8p9ZXN

Test Automation Engineer Job Description

A Test Automation Engineer is responsible for designing, developing, and implementing automated testing solutions to ensure the quality and reliability of software applications. Here's a breakdown of the job:

Key Responsibilities

- Test Automation Framework: Design and develop test automation frameworks using tools like Selenium, Appium, or Cucumber.

- Automated Test Scripts: Create and maintain automated test scripts to validate software functionality, performance, and security.

- Test Data Management: Develop and manage test data, including data generation, masking, and provisioning.

- Test Environment: Set up and maintain test environments, including configuration and troubleshooting.

- Collaboration: Work with cross-functional teams, including development, QA, and DevOps to ensure seamless integration of automated testing.

Essential Skills

- Programming Languages: Proficiency in programming languages like Java, Python, or C#.

- Test Automation Tools: Experience with test automation tools like Selenium,.

- Testing Frameworks: Knowledge of testing frameworks like TestNG, JUnit, or PyUnit.

- Agile Methodologies: Familiarity with Agile development methodologies and CI/CD pipelines.