Technical Lead ML Engineer

Job Purpose Design, architect, and deliver scalable AI/ML solutions that solve complex business problems while leading engineering initiatives across multiple client engagements. Drive the adoption of modern Machine Learning, MLOps, and Generative AI technologies to build intelligent, production-ready applications with high performance, reliability, and scalability. Who you are: 8+ years of software development experience with 4+ years of hands-on experience building and deploying production-grade Machine Learning/AI systems.2+ years of experience in a Technical Lead role, driving architecture decisions, mentoring engineers, and leading technical initiatives.Strong expertise in Python, Object-Oriented Programming, SQL, and REST/gRPC API development using FastAPI or Flask.Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, scikit-learn, or XGBoost.Experience building, training, evaluating, and deploying Machine Learning models into production.Strong knowledge of MLOps tools including MLflow, Kubeflow, Airflow, or dbt for experiment tracking, workflow orchestration, and model lifecycle management.Hands-on experience developing Generative AI applications using LangChain, LlamaIndex, OpenAI, Anthropic, Hugging Face, and Retrieval-Augmented Generation (RAG) architectures.Experience working with Vector Databases such as Pinecone, Qdrant, Chroma, or Milvus.Experience deploying AI/ML workloads on AWS SageMaker, Azure ML, or GCP Vertex AI using Docker and Kubernetes.Experience working in software services, consulting, or product engineering environments delivering solutions for multiple clients.Strong analytical, problem-solving, communication, and stakeholder management skills. What will excite us: Ability to architect scalable, cloud-native AI/ML solutions for enterprise applications.Strong understanding of Machine Learning lifecycle, MLOps, and production deployment best practices.Experience designing and implementing end-to-end Generative AI solutions including RAG pipelines, AI Agents, and LLM integrations.Ability to lead technical discussions, mentor engineering teams, and establish development best practices.Experience collaborating with Product Managers, Architects, Data Engineers, and DevOps teams to deliver high-quality AI products.Strong knowledge of containerization, orchestration, CI/CD pipelines, and cloud-native deployments.Ability to optimize model performance, scalability, inference latency, and deployment efficiency.Experience participating in solution architecture, technical estimation, sprint planning, and client-facing discussions.Strong ownership mindset with a passion for innovation and continuous learning in emerging AI technologies. What will excite you: Opportunity to architect and build enterprise-scale AI and Machine Learning platforms.Work on cutting-edge Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) solutions.Collaborate with cross-functional teams including Product, Engineering, Data Science, and Business stakeholders.Own the complete AI solution lifecyclefrom architecture and model development to deployment and optimization.Mentor talented engineers and influence technical direction across multiple projects.Exposure to modern cloud-native technologies, MLOps platforms, and enterprise AI ecosystems.Collaborative, innovation-driven environment with opportunities to solve complex real-world business challenges. Location: Ahmedabad (Work From Office) .