Data Scientist / ML engineer

Generative AI Developer: Automating Innovation

We are seeking a talented and motivated Generative AI Developer to join our team and spearhead the automation revolution. You will be instrumental in tackling complex challenges across various domains, including:

Code Optimization: Leverage generative AI to identify and implement opportunities for code improvement, boosting efficiency and performance. API Automation & Orchestration: Design and build automated systems that seamlessly interact with and orchestrate diverse APIs, freeing up valuable human resources. Automated Report Generation & Summarization: Utilize generative AI to automate report generation and summarization, extracting key insights and presenting them in clear, concise formats. Data Science Workflow Automation: Streamline and automate the entire data science workflow, from data acquisition and preparation to analysis and model development. Role and Responsibilities

As a Generative AI Developer, you will:

• Utilize state-of-the-art open-source LLMs for various tasks.
• Leverage Hugging Face API and its extensive libraries for model access and manipulation.
• Adapt and personalize pre-trained models for specific use cases.
• Understand and wield RAG model capabilities for information retrieval for augmenting Workflows.
• Manage and process high-dimensional data with vector databases.
• Orchestrate complex workflows using advanced frameworks like Langchain.
• Proactively stay updated on the latest advancements in the AI field.
• Keenly track emerging technologies and their potential applications.
• Continuously seek out new ways to leverage AI for impactful solutions.
• Design, develop, and implement state-of-the-art generative AI models using deep learning libraries like TensorFlow or PyTorch.
• Collaborate with cross-functional teams (data scientists, engineers, product managers) to define project goals, research requirements, and develop innovative solutions.
• Evaluate and select appropriate AI tools and frameworks for specific tasks.
• Train and optimize generative AI models to achieve desired performance metrics.
• Monitor and maintain deployed models, ensuring their accuracy and efficiency.
• Stay abreast of the latest advancements in generative AI research and development.

Skills and Qualifications

• Has a wide range of experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways
• Works on complex issues where analyzing situations or data requires an in-depth evaluation of variables. Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results. Determines methods and procedures on new assignments and coordinates other's tasks
• May manage a group such as coordinating activities regarding costs, methods and staffing
• Typically requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years