Senior Data Scientist

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning services, Recommender Systems (RS), and Generative AI (LLM & LVM). The role collaborates closely with Data Engineering, Data Science, and ML Engineering teams to design, develop, deploy, and scale intelligent data products and AI solutions. Key ResponsibilitiesData Science & Advanced AnalyticsDevelop and deploy end-to-end ML models from ideation to production.Perform EDA, feature engineering, and model evaluation.Build predictive and prescriptive models using statistical and ML techniques.Machine Learning Services (Primary Focus)Design and implement scalable ML pipelines for training, testing, and deployment.Work with ML platforms: Azure ML, AWS SageMaker, GCP Vertex AI.Optimize models for performance, scalability, and reliability.Design and build recommendation engines: collaborative, content-based, hybrid.Work with large-scale datasets for ranking, personalization, user segmentation.Generative AI (GenAI LLM & LVM)Build and deploy LLM-powered solutions: chatbots, copilots, document intelligence.Implement RAG (Retrieval-Augmented Generation) architectures.Work with models such as OpenAI, Azure OpenAI, Hugging Face.Develop use cases for text generation, summarization, classification, and image/video understanding (LVM).Optimize prompts and manage prompt engineering workflows.Collaboration with Data EngineeringEnsure data quality, governance, and availability.Work with Spark, Databricks, Hadoop.Deploy models via APIs/microservices; containerize with Docker, Kubernetes.Integrate models into production systems and CI/CD pipelines.Monitor model drift, performance degradation, and bias.Implement logging, alerting, and explainability tools.Qualifications & Experience58 years in Data Science, Machine Learning, or AI.Proven end-to-end ML model development, deployment, and production support.Hands-on predictive modeling using Python and modern ML frameworks.Experience with cloud ML platforms (Azure ML, AWS SageMaker, or Google Vertex AI).Experience developing GenAI solutions using LLMs, prompt engineering, and RAG frameworks.Experience collaborating with Data Engineering and ML Engineering teams.YOUR PROFILEEducationB.Tech/B.S./M.S. in Computer Science, Statistics, Mathematics, or related field.Technical SkillsProgramming: Python (mandatory), SQLML Libraries: Scikit-learn, TensorFlow, PyTorchML & AI: Supervised & unsupervised learning, model optimizationRecommender Systems: engine design, ranking algorithms, personalizationData Engineering: pipelines, ETL, data warehousingPreferred QualificationsSelf-motivated, customer-focused, detail-orientedadesso India, 3B-2 Athulya, Third Floor, Wing B, SEZ, Infopark Phase 1, Cochin, Kerala 682042 .