AI/ML Engineer(Python & Ruby)

Interpro has been in the IT consulting business since 1993, and our employees work on a range of projects across the country. We have a long-term opportunity for an experienced AI/ML Software Engineer to use both Python and Ruby to build, train, and deploy machine learning models, integrating them into core applications and services. This position offers a unique opportunity to combine data science principles with robust, scalable software development practices. 

Key Responsibilities

• Model Development: Design, develop, and implement machine learning and deep learning models and algorithms using Python and its associated libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Application Integration: Integrate AI/ML models into our production applications and web services, writing high-quality, maintainable, and scalable code primarily in Ruby.
• Data Pipeline Construction: Work with data engineers to build and maintain data processing pipelines for cleaning, manipulating, and preparing data for model training using Python libraries such as Pandas and NumPy.
• Deployment and MLOps: Deploy and manage AI/ML models in production environments, potentially leveraging cloud platforms like AWS, Azure, or Google Cloud.
• Performance Optimization: Monitor and optimize model performance, addressing any issues related to accuracy or efficiency post-deployment.
• Code Quality: Conduct thorough code reviews and adhere to software engineering best practices, ensuring the reliability and quality of both Python and Ruby code.
• Collaboration: Work closely with data scientists, product managers, and other engineering teams to translate business needs into technical requirements and deliver integrated solutions.
• Research and Innovation: Stay current with the latest developments in AI/ML, evaluating new technologies and methodologies to enhance our products. 

Required Skills and Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Programming Expertise:
• Python: Proven experience developing and deploying machine learning models and data pipelines. Deep familiarity with key libraries (TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• Ruby: Strong experience developing scalable web applications and APIs, preferably with the Ruby on Rails framework.
• ML Fundamentals: A solid understanding of machine learning algorithms, statistical methods, and data analysis techniques.
• Mathematics: Strong grasp of mathematical concepts relevant to ML, including linear algebra, calculus, and probability.
• Software Engineering: Familiarity with software architecture, design patterns, and best practices, including version control with Git.
• Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to tackling complex issues. 

Preferred Qualifications

• Experience with big data tools such as Apache Spark.
• Experience with MLOps tools for model management and deployment.
• Experience with cloud services (AWS, Google Cloud, or Azure) for deploying AI/ML solutions.
• Familiarity with specific AI fields like Natural Language Processing (NLP) or Computer Vision.