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AI Model Developer

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Job Description:

  • We are seeking a skilled AI/ML Engineer to lead our team in developing innovative machine learning solutions. The ideal candidate will have hands-on experience with Python, deep knowledge of ML/DL algorithms, and a strong understanding of software development principles.

Key Responsibilities:

  • Team Leadership: Lead a team of engineers and data scientists, fostering collaboration and innovation.
  • Clean Code & Development: Write clean, maintainable code for developing robust machine learning systems.
  • Model Engineering: Design, build, and deploy machine learning models and end-to-end solutions.
  • Cross-Functional Collaboration: Work closely with technical 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 and integrate RESTful APIs using Python web frameworks.
  • 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 AI/ML solutions adhere to security best practices and data privacy regulations.

Required Skills and 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 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 and NoSQL databases.
  • Deployment & MLOps: Experience with containerization, cloud platforms, and familiarity with MLOps principles.
  • 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.