Job Title: Python Developer (with Data Science / AI-ML Experience) Location: Weehawken, NJ Experience Level: 6+ Employment Type: Full-time About the Role: We are looking for a skilled Python Developer with hands-on experience in Data Science and AI/ML technologies to join our team. The ideal candidate is proficient in backend Python development and also has a strong foundation in machine learning, data preprocessing, model training, and deployment. You’ll collaborate with cross-functional teams to build scalable and intelligent solutions for real-world problems. Responsibilities: • Design, develop, and maintain efficient and scalable Python code for backend services and data pipelines • Work closely with data scientists and ML engineers to develop, train, and deploy machine learning models • Build APIs and integrate ML models into production systems • Perform data wrangling, preprocessing, and feature engineering • Optimize ML models for performance and scalability • Collaborate in an Agile/Scrum environment and contribute to architecture and design discussions • Maintain code quality with proper testing, documentation, and version control Required Skills: • Strong programming skills in Python • Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost • Experience with pandas, NumPy, matplotlib, seaborn, and other data manipulation/visualization tools • Experience in data wrangling, EDA, and feature engineering • Good understanding of ML concepts, model evaluation techniques, and deployment best practices • Experience building REST APIs using Flask, FastAPI, or Django • Familiarity with SQL and NoSQL databases • Experience with Git, Docker, and CI/CD tools Preferred Qualifications: • Experience with MLOps or deploying models in cloud platforms (AWS, Azure, GCP) • Knowledge of NLP, Computer Vision, or Deep Learning • Familiarity with big data tools like Spark or Hadoop is a plus • Prior experience working in a product-based or startup environment Educational Background: • Bachelor’s or master’s in computer science, Data Science, Engineering, or a related field