AI/ML Data Scientist

Job Description JOB DESCRIPTION We are looking for a data scientist with exceptional skills in Machine Learning (ML) and Artificial Intelligence (AI). We are seeking an experienced data scientist with a strong focus on building and maintaining sophisticated end to end pipelines using ML Ops. The successful candidate will possess a proven track record of designing, developing, and deploying successful innovative Generative AI (GenAI) software solutions. This role requires a proven communicator who effectively interfaces between technical and business teams, translating complex AI capabilities and technical insights into actionable business value. RESPONSIBILITIES - Architect, develop, and deploy end-to-end agentic Generative AI (GenAI) applications that solve complex real-world problems, with a specific focus on improving engineering challenges and inefficiencies. - Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within any cloud environment (eg . Google Cloud Platform), ensuring efficient deployment and maintenance of AI solutions. - Lead the integration of new cloud technologies and AI tools (e.g., Vertex AI) into our workflows, continuously evaluating their potential and articulating their business value to drive innovation and efficiency. - Acquire a deep understanding of vehicle engineering problems, translating them into appropriate mathematical representations and AI/ML solutions (classification, prediction, intelligent automation). - Ensure the overall quality and integrity of data and solutions throughout the development lifecycle, from data collection and cleaning to model deployment. - Design, Implement and maintain production-grade MCP servers handling real user traffic at scale., ensuring robust authentication, rate-limiting, tooling integrations and comprehensive observability. QUALIFICATIONS Minimum Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years of experience building the production backend for AI/ML systems in Python, with proven expertise in creating scalable APIs using modern frameworks like FastAPI or Flask. - Hands-on experience with one or more agentic frameworks such as RAG, Google ADK, LangChain, CrewAI, or LangGraph. - 2+ years of hands-on experience with database systems (e.g., SQL, NoSQL) and designing scalable RESTful APIs. - 2+ years of proven experience deploying and maintaining applications in a cloud-native environment, with a strong preference for GCP. - 2+ years of experience with DevOps practices and tools such as Docker, Kubernetes, and Terraform. - Proven experience architecting and implementing production-grade data ingestion pipelines for AI agents, including sophisticated strategies for data chunking, splitting, and generating embeddings at scale. - Demonstrable experience using modren GCP products like GCS, Bigquery, Vertex AI, Postgres, Dataflow, EventArc, Cloud Run etc. - Experience integrating and productionizing cloud-based AI tools, with a preference for Vertex AI. - A genuine passion for exploring, evaluating, and integrating new technologies to drive business impact. - A high degree of comfort working in ambiguous, fast-paced environments where you are empowered to innovate. Preferred Qualifications: - Master's or PhD in Computer Science, AI, or a related field. - 5+ years of advanced Python development experience, particularly with libraries like Pandas, PyTorch, and TensorFlow for NLP and deep learning. - 3+ years of in-depth experience developing and deploying production-grade AI solutions on GCP or AWS. - A portfolio of projects demonstrating the successful design and deployment of multi-agent systems or complex GenAI applications. - Experience with the security considerations inherent in agentic systems, such as authentication and authorization between agents.