Description

Responsibilities:

• Lead the design and implementation of advanced machine learning and generative AI models for large-scale AI projects.
• Collaborate with data scientists and software engineers to build and deploy scalable, production-grade ML and GenAI solutions.
• Drive the end-to-end deployment of machine learning and GenAI models, ensuring seamless integration into production environments and monitoring their performance post-deployment.
• Conduct in-depth data analysis and feature engineering to extract meaningful insights from complex, high-volume datasets.
• Optimize and fine-tune machine learning and generative AI models to enhance accuracy, efficiency, and performance.
• Stay current with the latest advancements in machine learning, generative AI (such as LLMs, diffusion models, and GANs), and apply them to improve existing systems.
• Work with cross-functional teams to define project requirements and deliver high-quality, innovative AI solutions on schedule.

Requirements:

• Bachelor’s or master’s degree in computer science, Data Science, or a related field.
• 7–10 years of professional experience in data science, machine learning, or AI-related roles.
• Hands-on experience with AWS Cloud Stack.
• Expert-level proficiency in Python and experience with machine learning and GenAI libraries such as Hugging Face Transformers, or scikit-learn.
• Strong coding skills, including robust machine learning code and version control (preferably Git).
• Experience across the project lifecycle, from business analysis to deployment.
• Experience working with databases (e.g., SQL).
• Deep understanding of machine learning, generative AI (LLMs, NLP, GANs).
• Proven track record with large-scale machine learning projects, and distributed computing frameworks
• Skilled in data manipulation, preprocessing, and feature engineering.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

People Skills:

• Ability to translate business challenges into data science and GenAI solutions.
• Effectively communicate technical concepts to non-technical stakeholders.
• Strong team player, open to collaboration and new ideas.
• Curious, innovative, and eager to explore emerging approaches in AI and GenAI.

Responsibilities

• Writing clean, high-quality, high-performance, maintainable
• code Develop and support software including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to insure project meets business objectives and compliance standards Support test and deployment of new products and
• features Participate in code reviews.

Qualifications

• Bachelor's degree in Computer Science (or related field)

Requirements added by the job poster

• 4+ years of work experience with Large Language Models (LLM)

• 5+ years of work experience with Python (Programming Language)

Key Skills

Education

Bachelor's degree