Data Scientist

We’re looking for a highly skilled Data Scientist to design, develop, and deploy advanced machine learning solutions that solve complex business challenges. You’ll work closely with cross-functional teams—Data Engineers, Product Managers, and Software Developers—to bring AI-powered features and insights into production-ready systems. Key Responsibilities - Design & Develop ML Models: Build, train, and optimize machine learning and deep learning models for real-world applications (e.g., NLP, computer vision, recommendation systems). - Data Preparation & Feature Engineering: Collect, clean, and preprocess large-scale datasets for model development. - Deployment & Integration: Package models into APIs or services, deploy to cloud platforms (AWS, Azure, GCP), and ensure scalability and reliability. - Monitor & Maintain Models: Track model performance in production, retrain as needed, and manage version control. - Collaboration: Partner with product and engineering teams to translate business requirements into technical solutions. - Innovation: Research and implement cutting-edge ML algorithms and tools to improve existing processes and products. - Transformers, Agentic AI, RAG, Advance RAG, Deep learning basics, Python Required Skills & Experience - 7-10 years of experience in AI/ML development and deployment. - Proficiency in Python (pandas, NumPy, scikit-learn) and at least one deep learning framework (TensorFlow or PyTorch). - Strong understanding of algorithms, statistics, and machine learning techniques (e.g., regression, classification, clustering, CNNs, RNNs). - Experience with cloud platforms (AWS SageMaker, Azure ML, or GCP AI Platform). - Familiarity with data engineering concepts (ETL, data pipelines, SQL/NoSQL databases). - Hands-on experience deploying ML models in production environments (e.g., REST APIs, Docker, Kubernetes). - Solid problem-solving skills and the ability to work in an agile, fast-paced environment. Preferred Qualifications - Exposure to MLOps practices (CI/CD for ML, model monitoring, automated retraining). - Experience with natural language processing (NLP) or computer vision projects. - Knowledge of big data tools like Spark or Hadoop. - Master’s degree in Computer Science, Data Science, or a related field.