Lead AI/ML Engineer

Who We’re Looking For: As a Lead AI/ML Engineer, you will give technical leadership to the team in the architecture, design, and end-to-end delivery of scalable AI and Machine Learning models into production designing, building, and deploying intelligent systems, algorithms, and models that learn from data and solve complex problems. Key Responsibilities: Infrastructure & MLOps: Set up CI/CD pipelines, containerization, and orchestration (e.g., Docker, Kubernetes, Terraform) to ensure smooth deployments. Model Evaluation & Monitoring: Implement automated frameworks for tracking model drift, performance validation, and version control. Team Mentorship: Provide technical mentorship to junior engineers and Data Scientists, enforcing coding and AI development best practices. Stakeholder Alignment: Translate business goals into technical architectures, partnering with product and engineering teams. Technical Skills & Experience: Experience: 5 to 8 years in software/data engineering, with 3+ years specifically in ML and Generative AI. Tech Stack: Expert-level Python programming; experience with frameworks like LangChain or LlamaIndex; and knowledge of API development (FastAPI). Data & Cloud: Experience with cloud platforms (AWS, Azure, GCP) and vector databases (Pinecone, Qdrant). Proven ability to communicate technical concepts to non-technical stakeholders and resolve complex architectural problems. Extensive experience in classification, time series analysis, pattern recognition, reinforcement learning, deep learning, dynamic programming, and optimization techniques. Ability to identify high-impact data analytics problems and determine the most relevant datasets and variables. Experience in collecting, cleaning, validating, and processing large structured and unstructured datasets from diverse sources. Proficiency in developing and applying models and algorithms to extract insights from big data. Strong analytical skills to identify trends and patterns in data and derive actionable insights. What We Offer A dynamic and collaborative work environment. Opportunities for professional growth and development. Competitive compensation and benefits. The chance to shape impactful products that solve real-world problems. Exposure to cutting-edge technologies and tools, with opportunities to innovate and explore new business solutions.