Marathon TS is seeking a Machine Learning Engineer to support a federal client in Washington, DC. As a Machine Learning Engineer, you will work as part of a customer success team to assist, develop, and collaborate in Client models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models. to join our innovative team. This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks such as Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
Responsibilities

• Utilize Databricks for large-scale data processing and model training, ensuring efficient data manipulation and transformation.
• Develop and deploy web applications and APIs using Streamlit, Flask, and FastAPI to enable interactive data visualization and real-time model interaction.
• Collaborate with cross-functional teams to define problem statements, gather requirements, and deliver Client-driven solutions that align with business goals.
• Implement and maintain machine learning solutions within Azure cloud environments, ensuring scalability, performance, and security.
• Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks.
• Conduct A/B testing and other experimental designs to validate models against business objectives.
• Document all processes and models in detail to ensure reproducibility and compliance with industry standards.

Qualifications

• Minimum 5-7 years related experience with a focus on Data Mining and Machine Learning.
• Strong programming skills in Python.
• Extensive experience with machine learning libraries and frameworks.
• Proven experience with Azure and its AI capabilities, including the use of Azure OpenAI and LLMs.
• Experience with Databricks for data engineering and exploratory data analysis.
• Proficient in building and deploying web applications using Streamlit, Flask, and FastAPI.
• Familiarity with the deployment of scalable machine learning models in a production environment.
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced, team environment.
• NICE TO HAVE:
• Experience with other cloud platforms such as Azure or AWS.
• Familiarity with additional programming languages such as .Net, C#, Java.
• Knowledge of containerization and orchestration technologies such as Docker, Kubernetes.
• Experience applying machine learning techniques to real-world business problems.

Education

• Bachelor's degree in Computer Science, Engineering, or related field

Certification

• Industry-recognized certification a plus

Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").