Data Scientist

**Key Responsibilities:** \- AI \& ML Development: Design and build AI models from scratch, optimize machine learning algorithms, and integrate them into our ERP solution. \- AI Pipeline \& Infrastructure: Develop and maintain an AI development and deployment pipeline using cloud and containerized solutions. \- Research \& Innovation: Conduct R\&D activities to identify opportunities for AI\-driven automation and efficiency. \- NLP \& Computer Vision: Work on sentiment analysis, NLP, and computer vision tasks to enhance product capabilities. \- Model Deployment \& APIs: Deploy ML models, create APIs, and ensure seamless integration into production systems. \- Collaboration \& Strategy: Work closely with product teams to explore AI’s impact and align AI strategies with business objectives. \- Team Management: Lead and mentor a team of data scientists and AI engineers. \- Provide guidance, training, and career development support to junior team members. \- Leadership: Foster a collaborative team culture, ensure timely delivery of projects, and contribute to the overall technical growth of the team. **Required Skills \& Experience:** \- 6\+ years of experience in AI, Machine Learning, or Data Science roles. \- Expert\-level proficiency in Python and ML frameworks (scikit\-learn, TensorFlow, Keras, PyTorch). \- Strong understanding of ML algorithms (classification, regression, clustering, optimization). \- Experience with deep learning architectures (ANN, CNN, RNN, LSTM). \- Hands\-on experience with NLP (NLTK, spaCy) and computer vision (OpenCV, PIL). \- Experience deploying AI models using Flask APIs, Docker, Kubernetes. \- Strong problem\-solving skills and ability to articulate AI concepts effectively. \- Leadership and team management experience, with the ability to guide and develop junior members. **Preferred/Optional Skills:** \- Knowledge of Java and experience with software development best practices. \- Understanding of SDLC, version control (Git), and CI/CD pipelines. \- Experience with Big Data technologies (Spark, Hadoop, Data Engineering concepts). \- Ability to interact with clients and communicate AI\-driven solutions effectively Pay: ₹5,991\.43 \- ₹3,000,000\.00 per year Work Location: In person Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.