Senior Machine Learning Engineer

6 days ago

Indore, India ClearTrail Technologies Full time

What We Do:

At ClearTrail, 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 ClearTrail 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 OpenAI 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, PyTorch, LangChain, 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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