Senior ML Engineer

Senior ML Engineer

Location: Spring TX (Hybrid onsite)

$60-65/hr on W2

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