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GENZEON (INDIA) PRIVATE LIMITED
Immediate joiners Ai Ml Engineer
GENZEON (INDIA) PRIVATE LIMITED
Pune•On-site•4-7 Yrs•1 hour ago
Job description
AI/ML EngineeringFull Stack MLProduction SystemsMLOpsSystem Design
Overview
We are seeking an exceptional AI/ML Engineer who goes beyond traditional boundaries. This is not a role for someone who only trains models or works in Jupyter notebooks. You will be responsible for building and scaling AI-powered products that directly impact our users and business. This means taking models from research to production, designing robust APIs, optimizing infrastructure, collaborating with cross-functional teams, and owning the complete product lifecycle.
Responsibilities
- Own AI/ML products end-to-end—from ideation to production.
- Define technical architecture, make build-vs-buy decisions, scope MVPs, and deliver impactful features.
- Collaborate with product managers and designers while driving technical strategy independently.
- Design and implement complete ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
- Build maintainable, scalable, and production-ready systems—not just experimental notebooks.
- Write clean, tested, production-grade code across the stack.
- Implement efficient data pipelines, optimize model serving infrastructure, ensure reliability and performance at scale.
- Make critical architectural decisions around model selection, infrastructure design, data flow, and system integration.
- Evaluate trade-offs, prototype solutions, and champion best practices.
- Collaborate with engineering, product, design, and business teams to translate requirements into technical solutions.
- Communicate complex technical concepts clearly and drive alignment on priorities.
- Continuously improve system performance, model accuracy, latency, and resource utilization.
- Implement monitoring and observability for production models and iterate based on metrics and user feedback.
Qualifications
- 4–6 years of software engineering experience
- At least 3 years building and deploying AI/ML systems in production
- Proven track record of shipping real products—not just research projects or POCs
- Strong fundamentals in ML with hands-on experience in NLP, computer vision, recommendation systems, or time-series forecasting
- Proficiency with PyTorch/TensorFlow, scikit-learn, and modern ML frameworks
- Strong programming skills in Python and at least one additional language (Go, Java, JavaScript, or C)
- Experience with model serving (TensorFlow Serving, TorchServe, ONNX), feature stores, experiment tracking (MLflow, Weights & Biases), and CI/CD for ML.
- Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
- Full-stack capabilities including backend development (FastAPI, Flask), API design, database experience (SQL/NoSQL), caching strategies, and basic frontend skills
- Strong SQL and data manipulation skills
- Experience building ETL/ELT pipelines and working with large-scale structured and unstructured data
Nice to have
- Exposure to LLM frameworks (LangChain, LlamaIndex, Haystack)
- Vector databases (Pinecone, Weaviate, Qdrant)
- RAG architectures
- Model optimization techniques (quantization, pruning, distillation)
- Understanding of MLOps best practices for monitoring, versioning, and governance
- Experience with A/B testing and experimentation frameworks