Senior Data Expert

3 days ago

Mumbai, Maharashtra, India beBeeDataExpert Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Expert

The ideal candidate will have a strong foundation in data science and machine learning, with experience in developing and deploying advanced models to solve complex business problems.

  • Key Responsibilities:
  • Design, develop, and deploy AI/ML solutions for real-world applications
  • Implement and optimize Large Language Models (LLMs) and Generative AI solutions
  • Build agent-based AI systems with autonomous decision-making capabilities
  • Conduct cutting-edge research on emerging AI technologies and explore their practical applications
  • Perform model evaluation, validation, and continuous optimization to ensure high performance
  • Develop full-stack applications that seamlessly integrate AI models with modern web technologies
  • Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine)
  • Implement CI/CD pipelines to streamline ML model deployment and monitoring processes
  • Design and optimize cloud infrastructure to support high-performance computing workloads
  • Work with both SQL and NoSQL databases to manage structured and unstructured data
  • Optimize database performance to support machine learning workloads and real-time applications
  • Implement robust data governance frameworks and ensure data quality assurance practices
  • Manage and process streaming data to enable real-time decision-making

Required Skills and Qualifications
  • Education & Experience
  • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field
  • 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications
  • 3+ years of experience working 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: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms
  • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers
  • Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering
  • Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models
  • Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents

  • Technical Skills - Development & Infrastructure
  • Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript
  • Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
  • Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB)
  • Full-Stack Development: Experience with React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
  • MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks
  • Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing
Benefits
  • Opportunity to work with a range of cutting-edge technologies and projects
  • Collaborative and dynamic work environment
  • Professional growth and development opportunities

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