Ai Ml Engineer

KEY RESPONSIBILITIES

• Design, develop and implement advanced algorithms using image, text, audio data as

well as tabular data.

• Design large-scale AI/ML systems end-to-end in a very fast-paced environment.
• Integrate AI/ML systems into existing data pipelines and systems.
• Extensive knowledge of key metrics and terms for statistical analysis and machine

learning.

• Collaborate with cross-functional teams across data and engineering to come up with

solutions to complex problem statements

• Act as a subject matter expert on data science topics, providing guidance and support to

internal teams.

• Identify areas of improvement in existing solutions.
• Personalization, recommendation and ranking

KEY SKILLS

• Strong experience in statistical analysis, Machine Learning and Deep Learning

Techniques, particularly those related to computer version and natural language

processing (NLP) and MCP.

• Proven track record of deploying scalable machine learning models in real-world

applications.

• Strong problem-solving skills and the ability to translate business requirements into

analytical solutions.

• Prior experience in handling very large transactional datasets across different business

functions.

• A self-starter and self-motivated individual who can work independently with other

teams.

• Outstanding verbal and written communication skills.
• Passion to stay updated with the latest advancements in AI, deep learning, generative AI

and related system design areas.

• Lead research initiatives to explore new methodologies, tools, and technologies.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• Required 4-8 Years of experience
• Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch.
• Familiarity with key deep learning metrics and optimization techniques.
• Strong Knowledge of version control systems, particularly Git