Posted:-1 days ago|
Platform:
Work from Office
Full Time
Key Responsibilities:
• AI Integration: Implement LLM-based workflows, RAG pipelines, and agentic
orchestration using frameworks like LangChain, LangGraph, CrewAI, or similar.
• Data Pipeline Development: Design, develop, and maintain efficient and scalable data
pipelines using Python and Azure tech stack.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to
understand data requirements and deliver solutions that meet business needs.
• Automation & Deployment: Containerize and deploy solutions using Docker,
Kubernetes, and cloud-native architectures (Azure/AWS/GCP).
• Monitoring & Governance: Ensure data quality, observability, and compliance with
security standards.
• Documentation: Create and maintain comprehensive documentation for data pipelines,
processes, and solutions.
• Troubleshooting: Identify and resolve data-related issues and bottlenecks.
Qualifications:
• Education: Bachelor's or Master's degree in Computer Science, Information
Technology, or equivalent in related field.
• Experience: 6-8 years of experience in data engineering, with a strong focus on Python,
Azure, CI/CD, and deployment.
• Technical Skills:
• Machine Learning Fundamentals: Model training, feature engineering.
• Generative AI & LLMs: Fine-tuning GPT/BERT, prompt engineering, RAG
pipelines.
• Data Engineering Expertise: Advanced ETL/ELT, handling
structured/unstructured data.
Anlage Infotech
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
bengaluru
0.7 - 1.0 Lacs P.A.
bengaluru
20.0 - 25.0 Lacs P.A.
bengaluru
10.0 - 20.0 Lacs P.A.
hyderabad
9.5 - 15.0 Lacs P.A.
hyderabad
15.0 - 30.0 Lacs P.A.
navi mumbai
4.0 - 8.0 Lacs P.A.
bengaluru
4.0 - 8.0 Lacs P.A.
navi mumbai
4.0 - 8.0 Lacs P.A.
chennai
4.0 - 8.0 Lacs P.A.
hyderabad
4.0 - 8.0 Lacs P.A.
