We are looking for 8 years experienced candidates for this role A minimum of 8 years of professional experience with at least 6 years in a data science role Strong knowledge of statistical modeling machine learning deep learning and GenAI Proficiency in Python and hands on experience optimizing code for performance Experience with data preprocessing feature engineering data visualization and hyperparameter tuning Solid understanding of database concepts and experience working with large datasets Experience deploying and scaling machine learning models in a production environment Familiarity with machine learning operations MLOps and related tools Good understanding of Generative AI concepts and LLM finetuning Excellent communication and collaboration skills Responsibilities include Lead a high performance team guide and mentor them on the latest technology landscape patterns and design standards and prepare them to take on new roles and responsibilities Provide strategic direction and technical leadership for AI initiatives guiding the team in designing and implementing state-of-the-art AI solutions Lead the design and architecture of complex AI systems ensuring scalability reliability and performance Lead the development and deployment of machine learning deep learning models to address key business challenges Apply statistical modeling data preprocessing feature engineering machine learning and deep learning techniques to build and improve models Utilize expertise in at least two of the following areas computer vision predictive analytics natural language processing time series analysis recommendation systems Design implement and optimize data pipelines for model training and deployment Experience with model serving frameworks e g TensorFlow Serving TorchServe KServe or similar Design and implement APIs for model serving and integration with other systems Collaborate with cross-functional teams to define project requirements develop solutions and communicate results Mentor junior data scientists providing guidance on technical skills and project execution Stay up-to-date with the latest advancements in data science and machine learning particularly in generative AI and evaluate their potential applications Communicate complex technical concepts and analytical findings to both technical and non-technical audiences Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications Bachelor s or Master s degree in a quantitative field such as statistics mathematics computer science or a related area Primary Skills Python Data Science concepts Pandas NumPy Matplotlib Artificial Intelligence Statistical Modeling Machine Learning Natural Language Processing NLP Deep Learning Model Serving Frameworks e g TensorFlow Serving TorchServe MLOps e g MLflow Tensorboard Kubeflow etc Computer Vision Predictive Analytics Time Series Analysis Anomaly Detection Recommendation Systems Atleast 2 Generative AI RAG Finetuning LoRa QLoRa Proficent in any of Cloud Computing Platforms e g AWS Azure GCP Secondary Skills Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals Solid communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders Job Type Permanent Work Location In person

📌 Lead Data Scientist (Karnataka)
🏢 Reflections Info Systems
📍 Karnataka