Python Developer – AI/ML & Data Science

Job Title:

Experience:

Responsibilities

• Develop, optimize, and maintain

  Python-based applications

  with strong integration of

  Django frameworks

  .
• Design, build, and deploy

  AI/ML models

  (supervised, unsupervised, deep learning) for real-world applications.
• Perform

  data preprocessing, feature engineering, and model training

  to enhance performance and accuracy.
• Work with

  large-scale datasets

  using Big Data frameworks (Hadoop, Spark, Databricks, etc.).
• Build and manage

  end-to-end data pipelines

  (ETL/ELT) for scalable and reliable workflows.
• Implement

  MLOps practices

  (CI/CD pipelines, model deployment, monitoring, retraining).
• Conduct

  data modeling, database design, and performance tuning

  for analytics and applications.
• Develop dashboards, APIs, and visualization tools to deliver insights and integrate AI/ML solutions into products.
• Collaborate with cross-functional teams (engineering, product, and business) to design and implement

  data-driven, scalable solutions

  .
• Continuously explore and adopt new

  AI/ML techniques, Python libraries, and cloud services

  to optimize solutions.

Requirements & Skills

• Proven experience (4–7 years) in

  Python development

  with frameworks like

  Django/Flask

  .
• Hands-on expertise in

  AI/ML model design, development, and deployment

  using libraries like Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of

  data preprocessing, feature engineering, and model optimization techniques

  .
• Experience with

  MLOps tools

  (MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines).
• Proficiency in

  SQL, data modeling, and database design

  (RDBMS & NoSQL).
• Familiarity with

  big data frameworks

  (Hadoop, Spark, Databricks) and distributed computing.
• Strong knowledge of

  statistics, mathematics, and data science concepts

  .
• Experience building

  REST APIs, dashboards, or services

  to integrate ML models into applications.
• Excellent problem-solving skills with an analytical and research-driven mindset.
• Strong communication skills to present insights and collaborate with stakeholders.
• Education: Bachelor’s/Master’s in Computer Science, Data Science, or related field.