AI & ML Engineer

Job Title:

Location:

Experience Required:

About the Role:

AI & ML Engineer

Key Responsibilities:

• Fine-tune and deploy LLMs (e.g., GPT, Claude, Mistral) for domain-specific applications.
• Design and implement end-to-end ML pipelines using ML Ops tools and best practices.
• Craft optimized prompts and evaluate model performance for targeted use cases.
• Ensure AI systems adhere to governance, ethics, and compliance standards.
• Collaborate with cross-functional teams, including product, engineering, and compliance.
• Monitor, retrain, and continuously improve AI/ML models in production.
• Document workflows, decisions, and model behavior for transparency and auditing.

Required Skills:

• Strong experience with LLM fine-tuning and model adaptation.
• Hands-on proficiency with ML Ops tools (e.g., ML flow, Kubeflow, or SageMaker).
• In-depth understanding of AI ethics, fairness, explainability, and compliance frameworks.
• Prompt engineering expertise for language model optimization.
• Proficiency in Python and libraries such as PyTorch, TensorFlow, Hugging Face, or LangChain.
• Familiarity with data management, version control, and deployment automation.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Exposure to regulated environments (e.g., finance, healthcare) with strict AI policies.
• Strong communication and collaboration skills.

Why Join Us?

• Work on cutting-edge AI applications with real-world impact.
• Be part of a forward-thinking team focused on responsible AI.
• Flexible work culture and opportunities for continuous learning.