AI ML Developer

As a ML Engineer at ClearTrail, you will be part of a team dedicated to creating solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With over 21 years of experience, ClearTrail is a trusted partner of law enforcement and federal agencies worldwide in protecting nations and enhancing lives. You will be working in Indore, Madhya Pradesh, utilizing your expertise in machine learning and Large Language Models (LLM). **Roles and Responsibilities:** - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varied audience with technical and non-technical backgrounds. - Utilize LLM expertise to tackle challenges using cutting-edge language models and off-the-shelf LLM services such as OpenAI models, focusing on techniques like Retrieval augmented generation to enhance the performance and capabilities of LLMs. - Stay abreast of the latest advancements in the field of Artificial Intelligence through continuous research and innovation. - Demonstrate strong problem-solving skills and proficiency in code debugging. - Hands-on experience in working with large language and generative AI models, both proprietary and open-source, including transformers and GPT models (preferred). **Skills:** - Mandatory hands-on experience with Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries. - Proficiency in Exploratory Data Analysis, Machine Learning, Neural Networks, hyperparameter tuning, model performance metrics, and model deployment. - Practical knowledge of Large Language Models (LLM) and fine-tuning techniques. **Nice to have experience:** - Deep Learning - MLOps - SQL **Qualifications:** - Bachelor's degree in Computer Science & Engineering. - Proven 2-4 years of experience as a Machine Learning Engineer or similar role, with a strong LLM skill set. - Solid theoretical and practical understanding of machine learning algorithms and hands-on experience with LLM applications.,