Senior Data Scientist - GenAI / Classical ML
- Tredence
- 5 - 8 years
- Pune
- 2 months ago
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Job Description
We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions, ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems.
Key Responsibilities:
- Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases.
- Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc.
- Collaborate with stakeholders to translate business problems into data science solutions.
- Perform EDA, feature engineering, and data preprocessing on structured and unstructured data (text, images, documents).
- Implement model performance monitoring, drift detection, and retraining strategies.
- Work with MLOps/engineering teams to ensure scalable, production-grade model deployment.
- Stay up to date with new GenAI and ML research trends and identify opportunities for business impact.
- Mentor junior data scientists and support peer review of code, model design, and documentation.
Required Qualifications:
- Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
- Experience: 58 years of professional experience in data science, with proven delivery of ML/AI models in production.
Technical Skills:
- Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch.
- Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting.
- Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines).
- Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma).
- Proficient in using SQL and working with large datasets.
- Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar).
- Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus.
Preferred Skills:
- Experience with NLP, Computer Vision, or time-series modeling.
- Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation).
- Familiarity with vector search, RAG architecture, and document intelligence workflows.
- Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus.
Key Attributes:
- Strong business acumen and stakeholder communication.
- Ability to balance research mindset with production-readiness.
- Passion for innovation, continuous learning, and cross-functional collaboration.
- Team player with mentoring and leadership qualities.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: TredenceLocation(s): Pune
Keyskills: Machine Learning Data Science Python Predictive Modeling Tensorflow Generative Ai Logistic Regression Artificial Intelligence Natural Language Processing LLM Deep Learning Large language models Linear Regression Time Series Generative Artificial Intelligence
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