Mid-level and Senior AI/ML Engineer (W2 ONLY)

at  JR Software Solutions

Experience: 5-8 YOE
Location: Fully Remote but must be located in CONUS
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 AI/ML Engineer to join our talented team and contribute to the success of our projects.

REQUIRED SKILLS AND 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 problems.

• As part of the customer success team, assist, develop, and collaborate on 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.