Data Scientists

As a Data Scientist with deep expertise in modern AI/ML technologies, you will join an innovative team that combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. Your role will involve architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. **Key Responsibilities:** - **AI/ML Development & Research:** - Design, develop, and deploy advanced machine learning and deep learning models for complex business problems - Implement and optimize Large Language Models (LLMs) and Generative AI solutions - Build agentic AI systems with autonomous decision-making capabilities - Conduct research on emerging AI technologies and their practical applications - Perform model evaluation, validation, and continuous improvement - **Cloud Infrastructure & Full-Stack Development:** - Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP - Develop full-stack applications integrating AI models with modern web technologies - Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) - Implement CI/CD pipelines for ML model deployment and monitoring - Design and optimize cloud infrastructure for high-performance computing workloads - **Data Engineering & Database Management:** - Design and implement data pipelines for large-scale data processing - Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) - Optimize database performance for ML workloads and real-time applications - Implement data governance and quality assurance frameworks - Handle streaming data processing and real-time analytics - **Leadership & Collaboration:** - Mentor junior data scientists and guide technical decision-making - Collaborate with cross-functional teams including product, engineering, and business stakeholders - Present findings and recommendations to technical and non-technical audiences - Lead proof-of-concept projects and innovation initiatives **Required Qualifications:** - **Education & Experience:** - Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field - 5 years of hands-on experience in data science and machine learning - 3 years of experience with deep learning frameworks and neural networks - 2 years of experience with cloud platforms and full-stack development - **Technical Skills - Core AI/ML:** - Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms - Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers - Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering - Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation - Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents - **Technical Skills - Development & Infrastructure:** - Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript - Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI - Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) - Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes - MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks - Big Data: Spark, Hadoop, Kafka, streaming data processing **Preferred Qualifications:** - Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) - Knowledge of LangChain, LlamaIndex, or similar LLM frameworks - Experience with model compression and edge deployment - Familiarity with distributed computing and parallel processing - Experience with computer vision and NLP applications - Knowledge of federated learning and privacy-preserving ML - Experience with quantum machine learning - Expertise in MLOps and production ML system design **Key Competencies:** - **Technical Excellence:** - Strong mathematical foundation in statistics, linear algebra, and optimization - Ability to implement algorithms from research papers - Experience with model interpretability and explainable AI - Knowledge of ethical AI and bias detection/mitigation - **Problem-Solving & Innovation:** - Strong analytical and critical thinking skills - Ability to translate business requirements into technical solutions - Creative approach to solving complex, ambiguous problems - Experience with rapid prototyping and experimentation - **Communication & Leadership:** - Excellent written and verbal communication skills - Ability to explain complex technical concepts to diverse audiences - Strong project management and organizational skills - Experience mentoring and leading technical teams *Note: The job location for this position is in Chennai, Gurugram, Hyderabad, Indore, and Mumbai.* As a Data Scientist with deep expertise in modern AI/ML technologies,