Freelance Generative AI Analyst

We are seeking a passionate and skilled Generative AI Analyst to help us harness the power of cutting-edge AI technologies to create solutions that will revolutionize the industry.

Position Summary As a Generative AI Analyst, you will be responsible for designing, building, and deploying AI driven solutions with a focus on generative AI models. This is a remote and freelance opportunity.

You will work closely with cross-functional teams to create tools and systems that improve efficiency, enhance customer experiences, and drive business value.

This role demands a sense of ownership and a strong commitment to developing innovative solutions. You'll be instrumental in driving projects from conception to deployment, ensuring they deliver measurable value to the organization.

Key Responsibilities

• Model Customization: Leverage Retrieval-Augmented Generation (RAG) techniques to customize large language models (LLMs) for specific business use cases.
• API Integration: Utilize platforms such as AWS Bedrock or OpenAI APIs to implement and integrate LLM-powered solutions into existing systems and workflows.
• Solution Development: Design and develop AI-driven applications that enhance decision-making, optimize operations, and improve customer experiences in the maritime industry.
• Data Management: Collaborate with data engineers to preprocess and manage data sources used to enhance LLM performance while ensuring compliance with data privacy and security standards.
• Performance Optimization: Monitor and optimize LLM deployments to ensure high performance, scalability, and reliability in production environments.
• Innovation and Experimentation: Stay informed about the latest advancements in LLMs and generative AI, and identify opportunities to apply new tools and techniques.
• Collaboration: Partner with product managers, software engineers, and stakeholders to understand business needs and deliver tailored AI-driven solutions.
• Documentation and Communication: Maintain thorough documentation of workflows, configurations, and use cases. Effectively communicate findings and results to both technical and non-technical audiences.
  
  

Qualifications Required

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in machine learning and artificial intelligence, with a focus on large language models (LLMs).
• Hands-on experience working with LLMs, including fine-tuning, deployment, and evaluation.
• Proficiency in using platforms and APIs such as AWS Bedrock, OpenAI, or similar generative AI services.
• Familiarity with MLOps practices and tools for version control, model tracking, and deployment pipelines.
• Strong analytical and problem-solving skills with a track record of delivering AI-driven solutions in a production environment.
• Excellent communication skills, with the ability to collaborate effectively in an agile, multidisciplinary team.
  
  

Preferred

• Experience in the maritime or logistics industry.
• Familiarity with reinforcement learning and advanced optimization techniques.
• Knowledge of maritime-specific datasets and challenges, such as voyage optimization or fuel efficiency modeling.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.