Senior AI and ML integration / Engineer

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