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Senior Data Scientist

2 weeks ago

Shimoga, Karnataka, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Summary

We are seeking a seasoned expert in Artificial Intelligence and Machine Learning to lead our team of engineers and data scientists. This individual will be responsible for designing, developing, and deploying end-to-end machine learning solutions that drive business growth and improve customer experiences.


Key Responsibilities:

  • Foster a collaborative environment and guide team members to achieve project goals.
  • Write high-quality, maintainable Python code for machine learning projects.
  • Design, build, and deploy machine learning models using deep learning frameworks like TensorFlow, PyTorch, and Keras.
  • Cross-functional collaboration: Work with diverse teams to ensure timely delivery of AI/ML projects.
  • Data Science Lifecycle: Implement end-to-end data science processes including data preprocessing, exploratory analysis, modeling, evaluation, and deployment.
  • Database Management: Manage and retrieve data effectively using SQL and NoSQL databases.
  • API Development: Develop RESTful APIs using Python web frameworks like Flask and Django.
  • Debugging & Optimization: Diagnose issues and optimize existing code for performance improvements.
  • Agile Methodologies: Follow Agile/Scrum software development lifecycle practices consistently.
  • LLM & RAG Implementation: Design, develop, fine-tune, and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Model Validation & Evaluation: Conduct training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics.
  • Security & Compliance: Ensure that AI/ML solutions adhere to security best practices and data privacy regulations.

Technical Qualifications:

  • Python Expertise: 5 years of hands-on experience with Python programming.
  • ML/DL Experience: 5 years of experience building, training, and deploying Machine Learning and Deep Learning models.
  • Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and Keras.
  • Web Frameworks: Solid experience with Python web frameworks (Flask, Django) for API development.
  • Core Libraries: Strong expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
  • Algorithms & Techniques: Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision.
  • Production-Grade AI: Proven experience designing and deploying AI solutions leveraging LLMs and RAG.
  • NLP & Conversational AI: Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI.
  • Concurrency: Practical knowledge of multithreading, concurrency, and asynchronous programming in Python.
  • Database Proficiency: Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB) and NoSQL (MongoDB) databases.
  • Deployment & MLOps: Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP), and familiarity with MLOps principles for CI/CD, monitoring, and logging.
  • Version Control: Proficient understanding of Git and Bitbucket for software version control.
  • C++: Experience with C++ development is a plus.

Soft Skills:

  • Analytical Thinking: Strong analytical and structured problem-solving capabilities.
  • Proactive Problem-Solving: Logical reasoning and a hands-on approach to debugging and optimization.
  • Team Collaboration: Effective interpersonal skills to work seamlessly with cross-functional teams.
  • Clear Communication: Excellent ability to articulate technical concepts to diverse audiences.
  • Continuous Learning: Commitment to staying current on emerging trends in AI/ML, NLP, and Computer Vision.