Machine Learning Engineer - Neural Networks (2-4 yrs)

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 22 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 (2-4 years' experience) with ML and LLM skill set.

Location - Indore, MP.

Qualifications :

- Bachelor's degree in computer science & engineering.

- 2-4 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.

- Problem-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.