Advanced AI/Machine Learning Engineer

4 days ago

Nellore, Andhra Pradesh, India beBeeAIENGINEER Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title:

Senior AI/ML Engineer

Job Description

Key Responsibilities include leading a team of AI/ML engineers and data scientists, fostering a collaborative, innovative, and productive work environment.

  • Coding Excellence: Write clean, maintainable, and error-free Python code for developing robust machine learning systems.
  • Model Development: Design, build, and deploy machine learning models and end-to-end solutions efficiently.
  • 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: 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).
  • Optimization: Diagnose issues and optimize existing code for performance improvements.
  • Agile Methodologies: Follow Agile 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 Evaluation: Conduct training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics.

Technical Qualifications Include:

  • Python Expertise: 5 years of hands-on experience with Python programming.
  • Machine Learning/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.

Essential Soft Skills Include:

  • 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.

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