Machine Learning Engineer

We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and artificial intelligence, with a focus on generative AI and agentic AI technologies. You will be responsible for designing, developing, and implementing machine learning models and algorithms that drive innovation and enhance our product offerings.

Key Responsibilities:

• Develop and implement machine learning models using Python and relevant libraries.
• Work with large datasets to train and optimize models, ensuring high performance and accuracy.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Stay updated with the latest advancements in AI and machine learning technologies, particularly in generative AI and deep learning.
• Conduct experiments and analyze results to improve model performance and reliability.
• Document processes and results to ensure knowledge sharing within the team.

Required Skills:

• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong understanding of generative AI, agentic AI, and related technologies.
• Experience with large language models (LLM) and tools like LangChain and LangGraph.
• Familiarity with retrieval-augmented generation (RAG) techniques.
• Solid foundation in deep learning and neural networks.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.

If you are passionate about leveraging machine learning to create impactful solutions and meet the qualifications outlined above, we encourage you to apply. Join us in shaping the future of technology with your expertise in machine learning and AI.