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About Us:

Metas Solutionsis 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. Seewww.metassolutions.comfor further details about us and careers with Metas.

Job Description:

Metas Solutionshas an"immediate"openingfor an experiencedMachine Learning Engineerto workRemotely.TheMachine Learning Engineerrole requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like 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:

• Being as part of customer success team, assist, develop, and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.
• 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 or Master's degree in Computer Science, Engineering, Statistics, or a related field.
• Strong programming skills in Python and 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 ability to work collaboratively in a fast-paced, team environment.

Preferred Skills:

• 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

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

For more information, or to apply now, you must go to the website below. Please DO NOT email your resume to us as we only accept ap lications through our website.