Freelance AI/ML Engineer Generative AI & Multi-Agent Systems

AI/ML Engineer – Generative AI & Multi-Agent Systems

Employment Type: Part-Time Contract

Work Mode: Remote

Project: AI Banking Digital Marketing

Experience: Relevant hands-on experience in AI/ML, Generative AI, and agentic systems

About the Role

We are looking for an experienced AI/ML Engineer to contribute to an AI Banking Digital Marketing project. The ideal candidate will have strong Python programming skills, hands-on experience building Generative AI applications and multi-agent systems, and a solid foundation in machine learning, deep learning, and cloud-based AI development.

Key Responsibilities

• Design, develop, and implement AI/ML solutions for business use cases.
• Build multi-agent AI workflows using Google Agent Development Kit (ADK).
• Develop Generative AI applications using Gemini and open-source large language models (LLMs).
• Apply machine learning, NLP, deep learning, transformer architectures, and generative techniques to practical problems.
• Work with structured and unstructured data using PostgreSQL, MongoDB, and SQL.
• Perform data cleaning, preprocessing, feature engineering, and model evaluation.
• Develop and maintain scalable AI solutions using Hexagonal Architecture principles.
• Deploy and support AI solutions on Google Cloud Platform (GCP).
• Collaborate with engineering and product teams to translate business requirements into technical solutions.
• Evaluate model performance, optimize hyperparameters, address bias, and follow responsible AI practices.

Required Skills

• Proficiency in Python and major ML libraries.
• Hands-on experience with Google ADK and multi-agent AI systems.
• Experience with Gemini and open-source LLMs.
• Working knowledge of Hexagonal Architecture.
• Experience with PostgreSQL, MongoDB, and SQL.
• Strong understanding of machine learning, NLP, deep learning, neural networks, and transformers.
• Exposure to GANs, text generation, and text-to-image generation.
• Hands-on experience with GCP.
• Strong data wrangling, cleaning, and feature engineering skills.

Good to Have

• Experience with on-premises and cloud-based development.
• CI/CD pipeline experience.
• Experience delivering production-ready AI solutions.

Opportunity Details

• Part-time, remote engagement.
• Opportunity to work on an AI-driven banking and digital marketing project.
• Candidates should be comfortable with a project-based contractual engagement.

Interested candidates: Apply through LinkedIn with your updated resume highlighting relevant AI/ML, Generative AI, Google ADK, and GCP experience.