
AI/ML Engineering Leader
19 hours ago
We are seeking a highly skilled AI/ML engineer to lead the development of our machine learning solutions.
Key Responsibilities:
- Lead a team of engineers and data scientists in the design, development, and deployment of AI/ML systems.
- Develop and maintain clean, efficient, and scalable Python code for complex machine learning models.
- Design and implement robust end-to-end AI solutions using Python programming skills.
- Collaborate with cross-functional teams to ensure timely delivery of AI projects.
- Implement data science processes including data preprocessing, exploratory analysis, modeling, evaluation, and deployment of machine learning solutions.
- Manage and retrieve data effectively by working proficiently with SQL and NoSQL databases.
- Develop and integrate RESTful APIs using Python web frameworks (e.g., Flask, Django).
- Diagnose issues and optimize existing code for performance improvements.
- FOLLOW Agile/Scrum software development lifecycle practices consistently.
- Design, develop, fine-tune, and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Conduct training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics.
- Ensure that AI/ML solutions adhere to security best practices and data privacy regulations.
Required Skills and Qualifications:
- 5 years of hands-on experience with Python programming.
- 5 years of experience building, training, and deploying Machine Learning and Deep Learning models.
- Proficiency with TensorFlow, PyTorch, and Keras.
- Solid experience with Python web frameworks (Flask, Django) for API development.
- Strong expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
- 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.
- Practical 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:
- Strong analytical and structured problem-solving capabilities.
- 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.
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