We are looking for a seasoned Machine Learning Engineer to lead the development and optimization of advanced models that power real-world AI applications. You will be responsible for model lifecycle management from research to production deployment, working closely with product, engineering, and research teams.Key Responsibilities- Develop, train, fine-tune, and deploy machine learning solutions (LLMs, predictive models) for enterprise use cases.- Collaborate with data engineers and product owners to shape data pipelines and ML workflows.- Optimize models for efficiency, accuracy, and real-time performance.- Conduct rigorous experimentation and evaluation, iterating based on metrics and business needs.- Champion responsible AI practices including fairness, transparency, and security.
To be considered for this role, you need to meet the following criteria:- Minimum 5 years of industry experience in machine learning, AI, or data science.- Strong background in large language models, NLP, or generative AI frameworks.- Proficiency in Python and ML libraries (TensorFlow, PyTorch).- A Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field is highly desirable.
