Technical production lead

1 week ago


India TalentXM Full time

We are looking for a visionary and technically skilled Lead AI Engineer – Machine Learning to spearhead the design, development, and deployment of advanced machine learning solutions. In this leadership role, you will guide a team of AI/ML engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI Technical Leadership : Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases. Coach and mentor a team of ML engineers and data scientists; Project Management : Drive planning, execution, and delivery of AI/ML projects, Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices. Collaboration : Work closely with product managers, data engineers, and Dev Ops teams to translate business problems into AI-driven solutions. Code Quality & Governance : Establish standards for model quality, reproducibility, Innovation : Stay current with research and industry trends in ML/AI, evaluate new tools, Required Skills and Experience Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related technical field Experience : 6–10+ years of experience in software engineering or AI/ML, with at least o Strong programming skills in Python and experience with ML libraries such as o Deep understanding of ML fundamentals: feature engineering, model evaluation, optimization, and deployment o Proficiency in designing and building data pipelines, real-time processing, and o Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines vector databases (e.g., Hands-on experience with LLMs, RAG pipelines, or generative AI applications Familiarity with agentic AI frameworks (Lang Chain, Crew AI, Auto GPT)Contributions to open-source AI/ML projects or published research Knowledge of responsible AI practices, explainability (XAI), and model governance Strong leadership and team-building skills Clear and persuasive communication with both technical and non-technical stakeholders



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