Seanergy Digital - Artificial Intelligence/Machine Learning Developer - Python Frameworks

Role Overview

Key Responsibilities

• Design, train, and evaluate machine learning models (classification, regression, clustering, etc.)
• Build and deploy scalable REST APIs for model serving using FastAPI or Django
• Collaborate with data scientists, backend developers, and DevOps to integrate models into production systems
• Develop clean, modular, and optimized Python code using best practices
• Perform data preprocessing, feature engineering, and data visualization using Pandas, NumPy, Matplotlib, and Seaborn
• Implement model serialization techniques (Pickle, Joblib, ONNX) and deploy models using containers (Docker)
• Manage API security with JWT and OAuth mechanisms
• Participate in Agile development with code reviews, Git workflows, CI/CD pipelines
  

Must-Have Skills

• Proficient in Python 3.x, OOP, and clean code principles
• Experience with Git, Docker, debugging, unit testing AI/ML
• Good grasp of supervised/unsupervised learning, model evaluation, and data wrangling
• Hands-on with Scikit-learn, XGBoost, LightGBM
  

Web Frameworks

• FastAPI : API routes, async programming, Pydantic, JWT
• Django : REST Framework, ORM, Admin panel, Middleware
  

DevOps & Cloud

• Experience with containerized deployment using Docker
• Exposure to cloud platforms: AWS, Azure, or GCP
• CI/CD with GitHub Actions, Jenkins, or GitLab CI
  

Databases

• SQL : PostgreSQL, MySQL
• NoSQL : MongoDB, Redis
• ORM : Django ORM, Skills :
• Model tracking/versioning tools (MLflow, DVC)
• Knowledge of LLMs, transformers, vector DBs (Pinecone, Faiss)
• Airflow, Prefect, or other workflow automation tools
• Basic frontend skills (HTML, JavaScript, React)
  

Requirements

• Education: B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science, or related fields
• Experience: 3-6 years of industry experience in ML development and backend API integration
• Strong communication skills and ability to work with cross-functional teams