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Job Title: GenAI Engineer Category: Software Development Required Experience: 3-4 years Location: Pune Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen. Responsibilities: Team Leadership: ● Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. ● Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. ● Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: ● Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. ● Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. ● Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics: ● Design, develop, and implement advanced machine learning models and algorithms to extract insights and solve complex business problems. ● Drive the exploration and application of new data sources, tools, and techniques to enhance analytical capabilities. ● Collaborate with data engineers to ensure the scalability and efficiency of deployed models. Cross-functional Collaboration: ● Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. ● Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: ● Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. ● Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: ● Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. ● Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: ● Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. ● Hands-on experience in RAG (Retrieval-Augmented Generation) pipelines using Pinecone or similar vector databases to enhance LLM performance. ● Experience building RESTful APIs and ML endpoints using FastAPI , integrating seamlessly with production systems. ● Apply LangChain and agentic frameworks to integrate LLMs with tools, memory, and reasoning chains. ● Proficiency in designing LLM-driven workflows , including prompt engineering , chain-of-thought reasoning, and OpenAI API call optimization to reduce latency and cost. ● Develop scalable event-driven architectures using AWS EventBridge , RDS , and other AWS services (e.g., S3, Glue, SageMaker). ● Develop and optimize embedding generation , storage, and retrieval processes using tools like OpenAI Embeddings, LangChain , and Pinecone. ● Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc. ● Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; ● Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: ● Minimum 1+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. ● Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) ● Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. ● Experience in MLOps, Scientific Machine Learning, Statistical Modeling, and Data Visualization. ● Proficiency in cloud platforms , particularly AWS (SageMaker, S3, RDS, EventBridge, Glue, Redshift). ● Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. ● Bonus: Prior experience in LLM observability, latency tuning, token usage monitoring, and fine-grained control of OpenAI or similar API integrations. ● Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. ● Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. ● Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. ● Excellent leadership, communication, and interpersonal skills. ● Experience with big data technologies and cloud platforms is a plus. 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