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Senior Data Scientist

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Key Responsibilities

  • Lead and manage a team of AI/ML engineers and data scientists, creating a collaborative environment.
  • Clean Code & Development: Implement clean, maintainable, and error-free Python code for developing robust machine learning systems.
  • Model Engineering: Design, build, and deploy efficient machine learning models and end-to-end solutions.
  • Collaborate with diverse technical teams to ensure timely and efficient delivery of AI/ML projects.
  • Data Science Lifecycle: Implement end-to-end data science processes, including data preprocessing, exploratory analysis, modeling, evaluation, and deployment.
  • Work proficiently with SQL and NoSQL databases to manage and retrieve data effectively.
  • API Development: Develop and integrate RESTful APIs using Python web frameworks (e.g., Flask, Django).
  • Detect 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).
  • Evaluate training experiments, refining models based on statistical analysis and performance metrics.
  • Ensure that AI/ML solutions adhere to security best practices and data privacy regulations (e.g., GDPR).

Technical Qualifications

  • Expertise in Python Programming: 5 years of hands-on experience with Python programming.
  • Machine Learning & Deep Learning: 5 years of experience building, training, and deploying Machine Learning and Deep Learning models.
  • Proficiency with TensorFlow, PyTorch, and Keras deep learning frameworks.
  • Experience with Python web frameworks (Flask, Django) for API development.
  • Strong expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers core libraries.
  • Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision.
  • Proven experience designing and deploying AI solutions leveraging LLMs and RAG.
  • Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI.
  • Knowledge of multithreading, concurrency, and asynchronous programming in Python.
  • Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB) and NoSQL (MongoDB) databases.
  • Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP), and familiarity with MLOps principles for CI/CD, monitoring, and logging.
  • Proficient understanding of Git and Bitbucket for software version control.
  • 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.
  • Effective interpersonal skills to work seamlessly with cross-functional teams.
  • Excellent ability to articulate technical concepts to diverse audiences.
  • Commitment to staying current on emerging trends in AI/ML, NLP, and Computer Vision.