Sr. Computer Programmer (Machine Learning)

JRSS; United States; Remote; USD 80,000 - 140,000; Full time

Job summary

Join a forward-thinking consulting firm as a Machine Learning Engineer, where you will leverage cutting-edge technologies like Generative AI and Azure OpenAI to create impactful solutions for government healthcare clients. This fully remote position offers the opportunity to work on innovative projects that drive real-world change, all while enjoying a supportive environment that values professional growth and work-life balance. If you're passionate about machine learning and eager to tackle challenging problems, this role is perfect for you. Embrace a culture that prioritizes your well-being and career development at JRSS.

Benefits

Comprehensive health, dental, and vision insurance

Flexible work schedules

Paid time off and holidays

401(k) retirement plans with company matching

Professional development opportunities

Qualifications

• Proficiency in Python and machine learning libraries is essential.
• Experience with Azure AI services and Databricks is highly valued.

Responsibilities

• Develop and implement machine learning models focusing on Generative AI.
• Collaborate with teams to deliver ML-driven solutions.

Skills

Python

Machine Learning Libraries/Frameworks

Azure AI Services

Large Language Models (LLMs)

Databricks

Streamlit

Flask

FastAPI

Education

High School Diploma or equivalent

Tools

Azure

Docker

Kubernetes

Job description

Position Title: Machine Learning Engineer

Location: 100% Remote

Required: Active CDC Badge

Company Overview:

At JR Software Solutions, we are a leading consulting firm specializing in Cloud Data and AI/ML solutions, proudly serving government and Fortune 500 clients. Our expertise in transforming IT infrastructure, driving innovation with AI and machine learning, and turning data into actionable insights sets us apart in the industry. We are seeking a highly skilled Machine Learning Engineer to join our talented team and contribute to the success of our projects.

Job Description:

JRSS is excited to announce an opportunity for a Machine Learning Engineer to join our dynamic team supporting a prestigious government healthcare client. This 100% remote role offers the chance to work on cutting-edge technologies, including Generative AI and Azure OpenAI services, to build innovative solutions that drive impactful results. If you are passionate about leveraging your machine learning expertise to solve real-world challenges and want to be part of an organization that values professional growth and work-life balance, we encourage you to apply for the below role!

Responsibilities:

• Develop and implement machine learning models and algorithms, focusing on Generative AI, Large Language Models (LLMs), and Azure OpenAI services.
• Utilize platforms like Databricks for scalable data processing, manipulation, and transformation.
• Prototype, build, and deploy web applications and APIs using Streamlit, Flask, and FastAPI.
• Collaborate with cross-functional teams to define requirements and deliver ML-driven solutions.
• Implement and maintain ML solutions in Azure cloud environments, ensuring scalability and security.
• Optimize ML pipelines for scalability and performance, including natural language processing tasks.
• Conduct technology analysis to evaluate new AI tools for business applicability.
• Maintain documentation for reproducibility and compliance with industry standards.

Required Skills:

• Proficiency in Python and machine learning libraries/frameworks.
• Hands-on expertise with Azure AI services, including Azure OpenAI and Large Language Models (LLMs).
• Strong experience with Databricks for data engineering and analysis.
• Knowledge of building and deploying applications using Streamlit, Flask, and FastAPI.
• Proven track record of deploying scalable ML models in production environments.

Preferred Qualifications:

• Familiarity with other cloud platforms (AWS, Google Cloud).
• Knowledge of additional programming languages such as .NET, C#, and Java.
• Experience with containerization and orchestration tools like Docker and Kubernetes.

Eligibility Requirements:

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
• High School Diploma or equivalent.

Why Join JRSS?

At JRSS, we believe in supporting our team members with competitive benefits, including:

• Comprehensive health, dental, and vision insurance.
• Flexible work schedules and a healthy work-life balance.
• Paid time off and holidays.
• 401(k) retirement plans with company matching.
• Professional development opportunities and certifications.