GEMTECH PARAS SOLUTIONS PVT LTD
Job details
Pay
-
₹40,000 – ₹60,000 a month
Job type
-
Full-time
Location
Benefits
- Work from home
- Flexible schedule
Full job description
We’re looking for a powerhouse AI/ML Engineer to turn cutting-edge research into production-ready reality. You won’t just be building prototypes; you’ll be designing, deploying, and scaling GenAI systems that solve real business problems. If you live at the intersection of robust software engineering and advanced machine learning, let’s talk.
Technical Expertise
· GenAI & Orchestration: Expert-level development using Lang Chain and Lang Graph; specialized in multi-step RAG, agentic workflows, and tool-augmented chains.
· NLP & Text Processing: Mastery of document parsing, chunking strategies, embeddings, and retrieval optimization.
· Core Engineering: Advanced Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and backend service development using FastAPI.
· Vector Infrastructure: Proven experience building and maintaining pipelines with FAISS, AWS Open Search, or similar vector databases.
· Cloud Ecosystems (Mandatory): High proficiency in either AWS (SageMaker, Lambda, ECS, Step Functions) or Azure (Azure OpenAI, Functions, App Services).
· MLOps & DevOps: Strong grasp of the ML lifecycle—monitoring, versioning (MLflow), and CI/CD pipelines (Jenkins, GitHub Actions).
How You’ll Make an Impact
- Design & Own: Lead end-to-end ML/GenAI workflows, from data ingestion and preprocessing to deployment and inference.
- Build Production Systems: Architect robust GenAI systems including API design, data pipelines, and scalable monitoring.
- Optimize Everything: Continuously evaluate and refine prompts, chains, and agents to improve accuracy while balancing latency and cost efficiency.
- Collaborate & Integrate: Partner with cross-functional teams to weave AI capabilities into dynamic applications for seamless user experiences.
- Ensure Excellence: Write high-quality, testable code and conduct rigorous unit/integration testing to ensure system reliability.
- Diagnose & Scale: Resolve complex performance and reliability issues across diverse environments.
What You Bring
- Experience: 4+ years of professional experience as an AI, ML, or Software Engineer, specifically building production-grade applications.
- Education: Bachelor’s degree in Computer Science, Information Technology, or Software Engineering.
- Engineering Rigor: A strong software background with experience in version control (Git) and Agile development.
- Problem Solving: A sharp analytical mind with the communication skills to align technical solutions with business goals.
Pay: ₹40,000.00 – ₹60,000.00 per month
Application Question(s):
- What is your current CTC?
- What is the expected CTC?
Work Location: In person
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