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Senior Machine Learning Engineer

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Unlock the Power of Machine Learning Engineering

This is an exceptional opportunity to leverage your expertise in machine learning engineering and drive business growth. As a seasoned professional, you will be responsible for designing, building, optimizing, deploying, and monitoring machine learning models for production use cases.

You will work closely with data engineers to design data pipelines that feed into ML models and ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments. Your experience in training, fine-tuning, and deploying ML models at scale will be invaluable in this role.

The ideal candidate will have a deep understanding of supervised and unsupervised learning, deep learning, and NLP techniques, and large language models (LLMs). They will also have hands-on experience deploying models to AWS, GCP, or Azure and a strong background in MLOps, including CI/CD for ML models, model monitoring, and retraining pipelines.

We are looking for a talented individual who can lead a team of ML Engineers, provide technical mentorship and guidance, and architect ML solutions that integrate seamlessly with business applications. If you have a passion for staying updated with the latest advancements in ML and AI and enjoy solving complex problems, this role may be the perfect fit for you.

To succeed in this position, you will need 6+ years of experience in machine learning engineering or related roles, experience in deploying and managing ML and LLM models in production, and a proven track record of working in cross-functional teams and leading ML projects.