What are the responsibilities and job description for the Python Developer with Gen AI position at ADDSOURCE?
Job Details
What is in it for you?
Build intelligent, scalable AI solutions using Python, integrating APIs and cloud technologies to deliver impactful
machine learning applications.
Responsibilities: -
Design, develop, and deploy AI/ML models and algorithms for real-world applications.
Implement robust Python-based solutions for data processing, model training, and inference.
Build and consume RESTful APIs using frameworks like Flask or FastAPI for seamless integration.
Optimize ML workflows for performance and scalability on cloud platforms (AWS, Azure, Google Cloud Platform).
Collaborate with data scientists, engineers, and product teams to translate business requirements into
technical solutions.
Ensure code quality, maintainability, and adherence to software engineering best practices.
Utilize containerization tools (Docker, Kubernetes) for deployment and orchestration.
Monitor and troubleshoot production ML systems for reliability and efficiency.
Design, develop, and deploy AI/ML models and algorithms for real-world applications.
Implement robust Python-based solutions for data processing, model training, and inference.
Build and consume RESTful APIs using frameworks like Flask or FastAPI for seamless integration.
Optimize ML workflows for performance and scalability on cloud platforms (AWS, Azure, Google Cloud Platform).
Collaborate with data scientists, engineers, and product teams to translate business requirements into
technical solutions.
Ensure code quality, maintainability, and adherence to software engineering best practices.
Utilize containerization tools (Docker, Kubernetes) for deployment and orchestration.
Monitor and troubleshoot production ML systems for reliability and efficiency.
Experience: -
8 Years
Location: -
Chicago, IL
Skills: -
Mandatory skills
Software Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
Experience in building and integrating RESTful APIs using Flask or FastAPI.
Hands-on experience with cloud services (AWS SageMaker, Azure ML, Google Cloud Platform AI Platform).
Solid understanding of software engineering principles, version control (Git), and CI/CD pipelines.
Knowledge of data structures, algorithms, and performance optimization.
Good to have skills: -
Familiarity with containerization (Docker, Kubernetes).
Exposure to MLOps practices and tools.
Experience with data visualization libraries (Matplotlib, Seaborn, Plotly).
Knowledge of NLP, Computer Vision, or Generative AI frameworks.
Understanding of secure coding practices and API security.
Contributions to open-source AI/ML projects.
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
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