We are seeking a skilled and experienced Machine Learning Engineer and Data Science Consultant for a part-time consulting position. This role is for a three-month project, to transition a project from conception to product. The ideal candidate will have a robust background in training and deploying deep learning networks, cloud infrastructure, large language models (LLMs), and end-to-end ML pipeline management.

Responsibilities

• Project Collaboration: Collaborate closely with the project team to understand objectives, define requirements, and establish timelines.
• Model Development: Design, develop, and optimize deep learning models and algorithms tailored to the project's needs.
• LLM Implementation: Implement and fine-tune large language models (LLMs) for specific use cases, ensuring high performance and reliability.
• Cloud Infrastructure: Manage and maintain cloud infrastructure (e.g., AWS, GCP, Azure) to support machine learning operations.
• Pipeline Management: Develop and oversee end-to-end ML pipelines, ensuring efficient data flow, model training, and deployment.
• MLOps Practices: Apply MLOps best practices for continuous integration, delivery, and monitoring of models in production.
• Documentation: Document processes, methodologies, and findings, and present them to stakeholders in a clear and concise manner.
• Advantage: Data Analysis: Conduct thorough data analysis to extract actionable insights and drive data-driven decisions.

Requirements

Experience: Minimum of 3 years in Machine Learning and Data Science.

Technical Expertise:

• Deep Learning Networks
• Deploying and integrating Large Language Models (LLMs)
• Cloud Infrastructure (AWS, GCP, Azure)
• End-to-End ML Pipeline Management
• MLOps best practices

Skills:

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Familiarity with containerization (e.g., Docker, Kubernetes).

Location: Must be based in or willing to work in Tel-Aviv.

Availability: Approximately 1.5 days per week for the duration of the project (3 months).