Job Details

Python Developer

  • Teynampet
  • 17 days ago
  • Full Time
  • Last Date : 15/06/2026
  • Experience : 2+ yrs

Position: Python / AI / Machine Learning Engineer

Location: Chennai

Experience: 2-5 yrs

About the Role

We are looking for a skilled and passionate Python/AI/ML Engineer to join our team. The candidate will be responsible for designing, developing, and deploying AI/ML-based solutions to solve real-world problems. This role requires a strong foundation in Python programming, data handling, and machine learning model development.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models.
  • Write efficient, scalable, and clean Python code for data preprocessing, model building, and deployment.
  • Work with structured and unstructured datasets to extract insights.
  • Research and implement AI/ML algorithms to improve accuracy, scalability, and performance.
  • Collaborate with data engineers, product managers, and business stakeholders to understand requirements and deliver solutions.
  • Deploy models into production environments (e.g., using Flask/FastAPI, Docker, or cloud services like AWS, GCP, or Azure).
  • Monitor, maintain, and optimize model performance.
  • Stay updated with the latest advancements in AI, ML, and data science.

Required Skills & Qualifications

  • Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.).
  • Hands-on experience with Machine Learning algorithms (classification, regression, clustering, recommendation systems).
  • Good understanding of Deep Learning concepts (CNN, RNN, LSTM, Transformers).
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with SQL/NoSQL databases and handling large datasets.
  • Familiarity with APIs, Flask/FastAPI, and deploying ML models.
  • Strong problem-solving and analytical skills.

Good to Have

  • Experience with Natural Language Processing (NLP) or Computer Vision.
  • Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).
  • Exposure to cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML).
  • Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau).

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field.