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Job Title: Manager–Data Science Location: Full-Time / On-Site / Hyderabad Company Overview A global organization delivering advanced AI, data science, analytics, and technology solutions to enterprises across various industries. Focused on enabling digital transformation, the company builds scalable, data-driven strategies that improve operational efficiency, drive innovation, and unlock sustainable business value. Role Summary The Manager–Data Science is a strategic and hands-on leadership role responsible for driving end-to-end AI/ML initiatives. This role combines deep technical expertise with team leadership and cross-functional collaboration. Ideal candidates will bring strong experience in machine learning, generative AI, and data-driven problem solving, along with a working knowledge of cloud platforms such as AWS, Azure, or GCP. Key Responsibilities Technical Leadership & Delivery • Design, build, and deploy scalable ML and Gen AI models. • Execute end-to-end ML pipelines : data preprocessing, training, evaluation, and deployment. • Collaborate with data engineering teams to ensure seamless integration and performance in production. • Automate workflows and improve model lifecycle efficiency. • Translate business needs into actionable data science problems and solutions. Generative AI & RAG • Develop solutions using Generative AI frameworks. • Implement RAG pipelines with: Fine-tuning techniques like QLoRA Document chunking and ingestion strategies Integration with vector databases (e.g., FAISS, Pinecone, Weaviate) Performance evaluation using appropriate metrics/frameworks Machine Learning & Forecasting Apply classical ML algorithms with techniques like L1/L2 regularization , feature selection, and model interpretation. Build forecasting models and evaluate them using MAPE, SMAPE, etc. Interpret model behavior during under/over forecasting scenarios. Practice Growth • Contribute to the AI/ML practice by developing reusable assets and internal tools. • Lead innovation initiatives and stay current with emerging tools, models, and frameworks. • Support business development through PoCs and technical strategy. People Leadership • Mentor and guide a team of data scientists. • Set clear performance goals, conduct regular feedback, and foster a culture of learning and innovation. • Work cross-functionally with stakeholders to ensure successful delivery. Requirements • Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field with 8+ years of hands-on experience in AI/ML across industries like Retail, BFSI, Healthcare, or eCommerce. • Strong proficiency in Python and SQL; experience with ML pipelines, cloud platforms ( AWS, Azure, or GCP), and big data tools (Hadoop, Hive, PySpark). • Solid understanding of ML algorithms, model interpretation, L1/L2 regularization, feature selection, and forecasting metrics (MAPE, SMAPE). • Practical expertise in Generative AI and RAG pipelines—QLoRA fine-tuning, document chunking, ingestion strategies, vector databases, and evaluation frameworks. • Hands-on experience in Speech-to-Text NLP and audio data processing, with the ability to integrate voice-based data into ML workflows • Strong problem-solving and analytical mindset, with the ability to communicate complex ideas clearly, lead teams, and collaborate with cross-functional stakeholders in a fast-paced environment. Note: We're keeping the process inclusive — whether you're immediately available, serving notice, or have a 60-day notice period, you're welcome to apply. Show more Show less
