Machine Learning Engineer

Job Description

We are looking for a skilled Generative AI Developer to join our Controls Technology team

and contribute to the development and integration of innovative generative AI solutions. In

this role, you'll work closely with senior developers, AI architects, and business

stakeholders to deliver impactful AI-driven features and products.

Key Responsibilities:

Implement and fine-tune generative AI models under the guidance of senior team

members.

Contribute to prompt engineering and development of AI-powered workflows.

Assist with the deployment, monitoring, and maintenance of AI models in

production environments.

Collaborate with data scientists and engineers to ensure seamless integration of AI

capabilities.

Perform data preprocessing, feature engineering, and API development for AI

applications.

Participate in code reviews, testing, and documentation to ensure quality and

reliability.

Stay updated with advancements in GenAI and share relevant learnings with the

team.

Required Technical Skills:

Hands-on experience with at least one major machine learning framework (PyTorch,

TensorFlow, Keras).

Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).

Exposure to RAG systems and basic knowledge of hybrid search techniques.

Understanding of model deployment and containerization (Docker).

Proficiency in Python for AI development, data preprocessing, and scripting.

Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a

plus.

Understanding of version control systems (Git).

Awareness of AI compliance, data privacy, and responsible AI principles.

Required Soft Skills:

Strong teamwork and communication abilities.

Willingness to learn new AI/ML technologies and frameworks.

Analytical mindset and attention to detail.

Openness to feedback and continuous improvement.

Qualifications:

Bachelor's degree or Master's degree in Computer Science, Data Science, AI, or a

related field.

35 years of professional experience in AI/ML development, with exposure to

Generative AI.

Experience delivering AI/ML projects in a collaborative setting.

Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.