Machine Learning Engineer

Job Description: Job Title: Senior ML Engineer Location: Mph- Spring TX Job Summary: We are seeking a highly skilled and motivated Senior ML Engineer with a strong focus on AI and ML integration. The ideal candidate will possess extensive knowledge in AI/ML technologies, particularly in the areas of large language models (LLMs) and their applications. This role requires hands-on experience in developing and fine-tuning AI models, as well as a solid understanding of data analysis and engineering practices. Responsibilities: • Design, develop, and implement AI/ML solutions that integrate seamlessly with existing systems. • Utilize frameworks and models such as Hugging Face, OLAMA, LLAMA, and Mistral for AI applications. • Fine-tune large language models (LLMs) to enhance performance and accuracy. • Implement agentic AI solutions using platforms like OpenAI and Gemini. • Develop and optimize search and match capabilities using LangChain, LangFlow, FAISS, and vector databases. • Conduct data analysis to inform model development and improve AI solutions. • Configure and manage GPU/CUDA environments for optimal model training and deployment. • Collaborate with cross-functional teams to integrate AI solutions into broader business processes. • Stay updated with the latest advancements in AI/ML technologies and methodologies. Mandatory Skills: • Strong expertise in AI and ML integration and engineering. • Proficient in Python programming for AI/ML applications. • Hands-on experience with sentence transformers and fine-tuning LLMs. • Solid understanding of GPU/CUDA configuration and optimization. • Experience with Linux and/or Kubernetes environments. • Knowledge of cosine similarity search and vector databases. • Demonstrated ability to develop search or match capabilities in AI applications. Preferred Skills: • Familiarity with additional AI frameworks and libraries. • Experience in deploying AI solutions in cloud environments. • Knowledge of data engineering practices and tools. • Understanding of ethical AI practices and considerations. Qualifications: • Bachelor's or Master's degree in Computer Science, Data Science, or a related field. • Proven track record of successful AI/ML project implementations. • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. The team members should be capable of developing solutions using the following technology: • AI/LLM - hugging face model, OLAMA, LLAMA, Mistral • Agentic AI, Open AI, Gemini • Fine tuning of LLM • Lang chain, Lang flow, FAISS, vector database(s), Cosine similarity search. • Python programming • sentence transformer • GPU/ CUDA configuration • Hands on Data analysis knowledge • Hands on Linux and or Kubernetes knowledge