Experience:

• 5+ years of experience in AI/ML, Deep Learning, or related domains
• 5 - 10 yrs

Qualification:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field

Role Focus:

• Design and develop end-to-end AI/ML solutions using Machine Learning, Deep Learning, and Generative AI techniques
• Build solutions involving NLP, Computer Vision, multimodal AI, anomaly detection, and predictive analytics
• Develop and optimize LLM-based applications, RAG pipelines, and Agentic AI workflows
• Fine-tune and evaluate foundation models, including LLMs and Vision Language Models (VLMs)
• Research, prototype, and productionize state-of-the-art AI techniques
• Optimize models for performance, scalability, latency, and real-time inference
• Apply model compression techniques such as quantization, pruning, and distillation for edge and cloud deployments
• Deploy AI applications using Docker, Kubernetes, and modern model-serving frameworks
• Implement MLOps/LLMOps practices, CI/CD pipelines, model versioning, monitoring, and observability
• Collaborate with cross-functional teams to integrate AI capabilities into end-to-end products
• Mentor junior engineers, conduct code reviews, and promote engineering best practices
• Maintain technical documentation and contribute to architectural decisions

More skills:

LangGraph, CrewAI, AutoGen, DSPy, Pinecone, Milvus, Qdrant, Weaviate, OpenCV, ONNX Runtime, TensorRT, OpenVINO, Tesseract OCR, Docker, Kubernetes, MLflow, Kubeflow, Weights & Biases, GitLab CI/CD, AWS, Azure, GCP, Prometheus, Grafana, LangSmith, Evidently AI, PostgreSQL, MongoDB, Redis

Other:

• Opportunity to work on cutting-edge AI and Generative AI solutions
• Continuous learning, research, and career growth opportunities
• Collaborative and innovation-driven work culture
• Opportunity to build impactful, next-generation AI products
• ₹10L - ₹20L / yr