Senior/Lead/Senior Lead GenAI Engineer - Data and AI

Position: Senior / Lead/Senior Lead GenAI Engineer - Data and AI Job Description Senior / Lead/Senior Lead GenAI Engineer - Data and AI Pune Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Curious about the role What your typical day would look like The AI Developer is responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value across the enterprise. This role combines deep technical expertise in AI/ML frameworks, data engineering, and software development to build production-grade intelligent systems - including predictive models, natural language processing applications, computer vision solutions, and generative AI capabilities. The AI Developer collaborates closely with data scientists, software engineers, product owners, and business stakeholders to translate complex business requirements into scalable, reliable AI-powered applications. The ideal candidate is a hands-on engineer who thrives at the intersection of research and production, bringing innovative AI concepts from prototype to enterprise deployment. Key Responsibilities / Essential Duties Design and develop machine learning models, deep learning architectures, and AI solutions to address business challenges across the organization. Build end-to-end ML pipelines - including data ingestion, feature engineering, model training, evaluation, and deployment - using industry-standard tools and cloud platforms. Develop and integrate RESTful APIs and microservices to serve AI/ML models in production environments with high availability and low latency. Implement generative AI solutions leveraging large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and fine-tuning techniques. Collaborate with data scientists, data engineers, and software development teams to translate research prototypes into scalable, production-ready applications. Optimize model performance through hyperparameter tuning, feature selection, A/B testing, and continuous monitoring of model drift and accuracy. Architect scalable AI infrastructure using cloud-native services (Azure AI, AWS Sage Maker, or GCP Vertex AI) and containerization technologies (Docker, Kubernetes). Maintain robust MLOps practices including version control for models and data, automated retraining pipelines, CI/CD for ML workflows, and model governance. Ensure responsible AI practices by implementing fairness, explainability, bias detection, and compliance measures aligned with organizational policies and regulatory requirements. Evaluate emerging AI technologies, frameworks, and research papers to identify opportunities for innovation and competitive advantage. Document technical designs, model architectures, experiment results, and deployment procedures to ensure knowledge sharing and reproducibility. Mentor junior developers and cross-functional team members on AI/ML best practices, coding standards, and emerging technologies. Qualifications Education Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related technical field (required). Master's degree or Ph.D. in Position: Senior / Lead/Senior Lead GenAI Engineer - Data and AI Job Description Senior / Lead/Senior Lead GenAI Engineer - Data and AI Pune Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across