Data Scientist / Senior Data Scientist

Required Qualifications Bachelors/Master s degree in Artificial Intelligence, Machine Learning or related field 5+ years of professional experience in AI/ML development Strong programming skills in Python and related ML frameworks Proven track record of delivering production ready AI solutions Effective communication with clientTechnical Skills ExperienceOverview Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain.
Experience with APIs development and integration using Flask, FastAPI, orsimilar frameworks.
Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) forAI applications.
Experience with SQL NoSQL databases (PostgreSQL, MongoDB, etc.).
Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment.
Understanding of MLOps and CI/CD pipelines for model lifecycle management.Machine Learning Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks(PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, andperformance metrics Expertise in data preprocessing, feature engineering, and model validationtechniquesLarge Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vectordatabasesAI Agents Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systemsComputer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systemsInfrastructure Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructureKey Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision makingPreferred Skills Experience with distributed computing and large scale data processing Knowledge of AI safety and responsible AI development practices Familiarity with AI research papers and ability to implement novel approaches Experience with A/B testing and experimental design Strong documentation and technical writing abilitiesPersonal Qualities Strong problem solving and analytical skills Excellent communication and collaboration abilities Self motivated with a passion for staying current with AI advancements Ability to work independently and as part of a team Strong project management and organizational skills