AI Strategist

21 hours ago

Tirupati, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Machine Learning Engineering Leader

We are seeking an experienced Machine Learning Engineering Leader to spearhead the development and deployment of AI and ML solutions.

Job Description:

The successful candidate will lead a team of engineers and data scientists, guiding them in creating innovative, collaborative, and productive work environments.

Key Responsibilities:
  • Team Leadership: Lead a cross-functional team in designing, building, and deploying machine learning models and end-to-end solutions.
  • Clean Code & Development: Develop clean, maintainable, and error-free code for developing robust machine learning systems.
  • Model Engineering: Efficiently design, build, and deploy machine learning models using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Cross-Functional Collaboration: 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.
  • Database Management: Manage and retrieve data effectively from 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.
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 and cloud platforms.
  • Version Control: Proficient understanding of Git 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.

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