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AI Leader

3 weeks ago


Agra, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,50,00,000

We are seeking a talented Senior Artificial Intelligence/Machine Learning Engineer

This role will focus on leading and guiding a team of AI/ML engineers and data scientists to foster a collaborative, innovative, and productive work environment. Additionally, the selected candidate will be responsible for designing, building, and deploying machine learning models and end-to-end solutions.

Key Responsibilities:
  • Team Leadership: Lead a team of professionals to ensure efficient collaboration and knowledge sharing.
  • Clean Code & Development: Develop high-quality, maintainable, and error-free code for robust machine learning systems.
  • Model Engineering: Design, build, and deploy efficient machine learning models and end-to-end solutions.
  • Cross-Functional Collaboration: Work closely with diverse technical teams to ensure timely and efficient delivery of 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.
  • 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.
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 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.
Benefits:

The selected candidate will be part of our team, contributing to the development of innovative AI/ML solutions. We look for talented professionals who are passionate about their work and willing to learn and grow with us.

We value teamwork, continuous learning, and professional growth. Our team works collaboratively to deliver high-quality results, and we encourage open communication and knowledge sharing.