Python Developer

Position Overview:

Python Developer

Key Responsibilities:

• Design, develop, and optimize ML models, algorithms, and pipelines.
• Handle large datasets, including preprocessing, feature engineering, and model training.
• Build scalable, production-ready ML solutions using Python frameworks.
• Collaborate with data scientists, product teams, and business stakeholders to transform requirements into technical deliverables.
• Deploy ML models into production environments and monitor their performance.
• Continuously refine existing code, enhance model accuracy, and improve efficiency.
• Stay updated with the latest advancements in AI/ML and recommend best practices.

Required Qualifications:

• 2.5–3.5 years of professional experience in Python development.
• Strong knowledge of Machine Learning, Deep Learning, and Data Science fundamentals.
• Hands-on expertise with libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Pandas, and NumPy.
• Solid understanding of data preprocessing, feature engineering, and model evaluation methods.
• Experience with SQL/NoSQL databases and building data pipelines.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for ML deployment.
• Strong analytical and problem-solving skills with the ability to write clean, efficient, and maintainable code.
• Excellent communication and collaboration skills.

Preferred Skills:

• Experience in

  Natural Language Processing (NLP)

  or

  Computer Vision

  .
• Exposure to MLOps tools (MLflow, Kubeflow, Docker, Kubernetes, Airflow).
• Understanding of big data technologies (Spark, Hadoop).
• Prior experience in deploying AI/ML models into production environments.

What We Offer:

• A collaborative and transparent work culture that values teamwork and continuous learning.
• A supportive environment with an open-door policy.
• Opportunities for professional growth, learning, and career development.
• Competitive salary and benefits package.

Job Details:

• Location:

  Kharadi, Pune

• Job Type:

  Full-time, On-site