What are the responsibilities and job description for the Machine Learning Engineer position at KTek Resourcing?
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