Machine Learning Engineer

About Us:

Metas Solutions is a professional services firm headquartered in Atlanta, GA. We are an 8(a)-certified, Woman Owned Small Business (WOSB/EDWOSB) headquartered in Atlanta GA with offices at StudioPlex in Atlanta's Old Fourth Ward neighborhood. Metas is a professional services firm that offers technical assistance and consultation to the federal government in the areas of public health capacity building and information technology ideation and implementation. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an opening for an experienced Machine Learning Engineer to work Remotely. The Machine Learning Engineer, being part of customer success team, will assist, develop, and collaborate in Machine Learning models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.

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 ML-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:

• Bachelor’s degree in computer science focused on Machine Learning or similar disciplines.
• Experience with Python, machine learning libraries, and frameworks.
• 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.
• Ability to build and deploy web applications using Streamlit, Flask, and FastAPI.
• Knowledge of the deployment of scalable machine learning models in a production environment.
• Possession of problem-solving skills and ability to work collaboratively in a fast-paced, team environment.

Additional Qualifications:

• Experience with other cloud platforms like Azure or AWS.
• Familiarity with additional programming languages such as .Net, C#, Java.
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Experience in applying machine learning techniques to real-world business problems.

Security, Salary, and Benefits:

• Must be US Citizen or with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period.
• Market competitive salary, commensurate with experience and education.
• Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities.

We are an Equal Opportunity Employer/Veterans/Disabled