AI / ML Engineer

About the Role

As an AI / ML Engineer, you will be instrumental in developing cutting-edge applications and systems that harness the power of artificial intelligence tools and cloud AI services. Your responsibilities will include building and maintaining robust cloud or on-prem application pipelines with production-ready quality. A key aspect of this role involves the application of Generative AI (GenAI) models as integral components of solutions, potentially encompassing deep learning, neural networks, chatbots, and image processing.

We are seeking candidates proficient in Large Language Models (LLMs) and those with a strong foundation in deep learning frameworks like TensorFlow or PyTorch. Experience with cloud platforms for AI deployment, data preprocessing, feature engineering, and natural language processing is highly valued. You will be expected to work independently, become a subject matter expert (SME), and actively contribute to team discussions and problem-solving.

This role requires close collaboration with cross-functional teams to design and implement AI-driven applications. You will analyze project requirements and devise effective strategies for AI model integration, ensuring solutions meet high-quality standards. The role offers an opportunity to contribute to advancements in AI technologies, balancing technical expertise with creative problem-solving to tackle complex challenges.

Key Responsibilities:

• Perform independently and develop into a Subject Matter Expert (SME).
• Actively participate and contribute to team discussions.
• Provide solutions to work-related problems.
• Collaborate with team members to design and implement AI-driven applications.
• Analyze project requirements and develop effective strategies for AI model integration.

Professional & Technical Skills:

• Must-Have Skills:
• Proficiency in Large Language Models (LLMs).
• Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms and services for AI deployment.
• Familiarity with data preprocessing and feature engineering techniques.
• Knowledge of natural language processing and its applications.

Additional Information:

• Minimum 3 years of experience in Large Language Models is required.
• A 15-year full-time education is a prerequisite.