Technical Production Lead
6 days ago
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 DevOps 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 (LangChain, CrewAI, AutoGPT)
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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