AI Technologies is seeking to develop machine learning and deep learning solutions, and experiment with state of the art models to drive the future of machine learning
Requirements
- At least 5 year's experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must
- At least 5 years’ experience in applying data science, ML techniques to solve business problems
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Experience with machine learning and deep learning methods
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow
- Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search)
- Experience with Ray, MLFlow, and/or other distributed training frameworks
Responsibilities
- Serve as a subject matter expert on a wide range of ML techniques and optimizations
- Provide in-depth knowledge of ML algorithms, frameworks, and techniques
- Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques
- Conducting experiments using latest ML technologies, analyzing results, tuning models
- Hands on coding to bring the experimental results into production solutions by collaborating with engineering team
- Optimizing system accuracy and performance by identifying and resolving inefficiencies and bottlenecks
- Integrate Generative AI within the ML Platform using state-of-the-art techniques
Other
- MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine learning experience
- Ability to work on tasks and projects through to completion with limited supervision
- Passion for detail and follow through
- Excellent communication skills and team player
- Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners
