Senior Data Scientist

3 days ago


Bengaluru, India Success Pact Consulting Pvt Ltd Full time

About the Role : We are looking for an experienced Senior Data Scientist to lead the development and deployment of advanced machine learning and generative AI solutions. The ideal candidate will bring hands-on expertise in large-scale data processing, model design, and production-grade ML systems using modern tools and cloud platforms.Key Responsibilities : End-to-End ML Development : - Design, develop, and deploy scalable ML models and data pipelines for high-volume datasets (billions of records) using PySpark, Spark SQL, and Databricks/AWS environments.ML Workflow Automation : - Build and automate real-time ML workflows, leveraging AWS services such as Lambda, Step Functions, and ECR for Dockerized deployments and model monitoring.Generative AI & LLM Systems : - Develop and fine-tune Generative AI and LLM-based applications including data management layers, LLM agents, and advanced prompt engineering and evaluation methods.Modeling & Research : - Apply and optimize classical and deep learning algorithms (Tree-based models, CNN, LSTM, Transformers) using frameworks like TensorFlow, PyTorch, and Scikit-learn.Leadership & Collaboration : - Lead a small team of data scientists/ML engineers, guide technical execution, and foster a collaborative problem-solving culture.- Work closely with clients and stakeholders to translate analytical insights into measurable business outcomes.Performance Monitoring : - Establish best practices for model validation, A/B testing, and performance tracking across deployed ML solutions.Required Skills & Qualifications : - 5 to 9 years of experience in data science or machine learning roles.- Strong programming skills in Python and PySpark.- Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.- Expertise in AWS or Databricks for building and deploying large-scale ML solutions.- Practical knowledge of Generative AI and LLM-based systems.- Strong understanding of data engineering, feature pipelines, and model deployment frameworks.- Excellent analytical, communication, and stakeholder management skills. (ref:hirist.tech)



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