Senior machine learning engineer

1 week ago

Indore, India ClearTrail Technologies Full time

What We Do: At Clear Trail, work is more than ‘just a job’. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 23 years, law enforcement & federal agencies across the globe have trusted Clear Trail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the world’s most challenging problems. Role – ML Engineer (6-10 years’ experience) with ML and LLM skill set Location – Indore, MP, Bangalore Qualifications: Bachelor's degree in computer science & engineering. 6-10 years of Proven experience as a Machine Learning Engineer or similar role with LLM skill set Sound theoretical and practical knowledge of working with machine learning algorithms and hands-on with LLM applications Responsibilities: Develop end-to-end machine learning pipeline which includes model development, refining, and implementation for variety of analytics problems. Communicate results to diverse technical and non-technical audiences. Provides LLM expertise to solve problems using state-of-the-art language models and off-the-shelf LLM services, such as Open AI models etc. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Research and Innovation: Stay up to date with the latest advancements in the fields of AI. Probem-solving and code debugging skills. Hands on practical experience with usage of large language and generative AI models both proprietary and opensource, including transformers and GPT models (preferred) Mandatory Skills: Libraries: Python, Scikit-Learn, Py Torch, Lang Chain, Transformers Techniques: Exploratory Data Analysis, Machine Learning and Neural Networks Machine learning model building, Hyperparameter tuning and Model performance metrics and Model Deployment Practical knowledge of LLM and its finetuning Good to Have Skills - Deep Learning MLOps SQL

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