Job Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟴𝟬-𝟭𝟬𝟬 𝗟𝗣𝗔)

Experience: 10+ yrs

Location: Bengaluru

As a Senior AI ML Engineer, you will architect and deploy advanced machine learning solutions that power intelligent, agentic systems, driving business value across diverse domains. Leveraging your deep expertise in model development, you will design scalable pipelines, implement state‑of‑the‑art algorithms, and transform data into actionable predictions. You will collaborate closely with cross‑functional teams to translate complex requirements into cloud‑native applications, ensuring seamless integration with existing platforms and external APIs. Your role will also involve mentoring junior talent, championing best practices, and continuously optimizing model performance and system reliability in a fast‑moving, high‑impact environment.

Requirements

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Design, prototype, and validate end‑to‑end machine learning workflows from data ingestion to inference.
• Develop and fine‑tune agentic AI models that autonomously adapt to changing user contexts.
• Build cloud‑native microservices and APIs to expose ML capabilities for internal and external consumption.
• Integrate ML models with enterprise platforms such as data lakes, Kubernetes clusters, and event‑driven architectures.
• Ensure robust model governance, monitoring, and continuous improvement cycles.
• Collaborate with data engineering to optimize data pipelines and feature stores.
• Mentor and guide junior engineers on best practices, coding standards, and model deployment strategies.
• Conduct performance benchmarking, A/B testing, and scaling studies to meet SLAs.
• Lead the selection and evaluation of cutting‑edge ML frameworks and cloud services.
• Document architecture, code, and operational procedures for maintainability and knowledge transfer.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁

• 10+ years of experience in machine learning and data science with a proven track record of production deployments.
• Deep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models.
• Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Strong background in developing RESTful and gRPC APIs and integrating them with external systems.
• Hands‑on experience with CI/CD pipelines, automated testing, and model deployment tools.
• Excellent coding skills in Python, Java, or Go, with familiarity in scalable frameworks such as TensorFlow, PyTorch, or JAX.
• Demonstrated ability to translate business requirements into technical designs and measurable outcomes.
• Experience mentoring teams, conducting code reviews, and driving technical excellence.
• Solid understanding of data privacy, security, and compliance standards in a cloud environment.
• Passion for staying current with emerging AI technologies and a proactive approach to problem solving.