Job description Key Responsibilities Design and develop ML NLP and GenAI models to solve real-world business problems Build train and fine-tune AI models using Python and leading ML frameworks Leverage Azure and GCP AI ML services for scalable and production-ready deployment Develop and integrate APIs for real-time model inference and intelligent decision-making Handle large-scale datasets to extract insights and drive data-informed strategies Work collaboratively with Data Engineers Software Developers and Product Teams to integrate AI solutions into existing products and platforms Implement and maintain CI CD pipelines for model development and deployment automation Follow Agile methodologies and adhere to software engineering best practices Stay current with AI ML innovations including LLMs and GenAI advancements and incorporate them into ongoing projects Lead research initiatives and contribute to innovative solution development Provide mentorship to junior team members and ensure knowledge sharing Continuously monitor and optimize models for performance and scalability in production Required Skills Qualifications Proficiency in Python and experience with TensorFlow PyTorch or Scikit-learn In-depth understanding of NLP techniques such as transformers embeddings and text analytics Proven expertise in Generative AI models e g GPT BERT LLMs Strong experience with Azure AI ML services Azure ML Cognitive Services Databricks Hands-on experience with GCP AI ML tools such as Vertex AI BigQuery ML and TensorFlow on GCP Proficient in building and integrating REST APIs for ML model inference Familiarity with CI CD practices tailored for ML environments Strong grasp of software engineering principles version control modularity testing Experience working in Agile development environments Excellent problem-solving skills and the ability to work in a quick-paced dynamic environment Solid background in statistical analysis data mining and data visualization Preferred Qualifications Experience with MLOps and end-to-end model lifecycle automation Knowledge of vector databases and Retrieval-Augmented Generation RAG Familiarity with big data processing frameworks such as Apache Spark and Hadoop Ability to communicate complex technical concepts to non-technical stakeholders Exposure to Graph Neural Networks GNNs and recommendation engines Understanding of AutoML frameworks and advanced hyperparameter tuning techniques Job Type Contractual Temporary Pay 700 00 - 900 00 per hour Schedule Day shift Experience Python 3 years Required TensorFlow 3 years Required PyTorch 3 years Required Scikit-learn 3 years Required Work Location In person Job Type Contractual Temporary Pay 500 00 - 700 00 per hour Benefits Health insurance Provident Fund Schedule Day shift Monday to Friday Weekend availability Supplemental Pay Performance bonus Work Location In person

📌 Data Scientist (3-5 Years) (Karnataka)
🏢 AB first
📍 Karnataka