Contractor Machine Learning Developer

We're looking for a skilled Machine Learning Developer to play a key role in driving data-driven decision-making across our digital platform. This is a unique opportunity to contribute to impactful machine learning initiatives as part of a collaborative, forward-thinking team.If you're ready to make a lasting impact and thrive in a long-term contract role, we want to hear from you. Apply now to be part of our journey toward innovation and excellence!

Job Responsibilities

• Develop Scalable Data Pipelines: Collaborate with engineers to build efficient data pipelines and architectures, incorporating MLOps best practices for large language models (LLMs).
• Data Handling & Processing: Support data collection, analysis, content understanding, storage, and processing tasks.
• Model Development: Write code for training, testing, and deploying machine learning models.
• Model Monitoring: Monitor and troubleshoot machine learning models to maintain accuracy and performance.
• Requirements Analysis: Perform requirements analysis, collaborate with team members and document solutions.
• Data Management: Work with large-scale data sets and manage data flow between systems.
• Batch Data Processing: Organize and process large batches of text and geometric data.
• Data Insights & Visualization: Communicate findings through quantitative analysis, visuals, and actionable insights.

Requirements

• Minimum Qualifications
• Educational Background: MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field.
• Experience: 5 years of experience in machine learning engineering or a related field.
• Deep Learning Expertise: Hands-on experience with training deep neural networks (e.g., CNNs, transformers) and proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
• LLM Knowledge: Experience with large language models (LLMs), embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems.
• Data Modeling & Processing: Experience with data modeling, architecture, and processing, including handling 2D/3D geometric data.
• Cloud & Platform Proficiency: Proficiency in AWS cloud services, including SageMaker Studio, for scalable data processing and model development.
• Algorithm Understanding: Strong understanding of fundamental computer science algorithms and their scalability.
• Programming Skills: Proficient in coding, covering both procedural and data-analytics-oriented languages (like Python).
• Solution-Oriented Mindset: Ability to convert theoretical concepts into practical, prototype-ready solutions.

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