Walk-Ins - Python Developer ( · Navi Mumbai

Walk-Ins - Python Developer ( Machine Learning ) is a delivery-focused opportunity based in Navi Mumbai, India.

HI,Walk-Ins.Grab the opportunity in AI/MLClover Infotech is hiring for Python Machine Learning Developer for Airoli - Navi Mumbai location.Interview Type - Round 1- VirtualRound 2- Walk-ins Client site ( Preferred Mumbai based candidates only or can able to attend interview in Mumbai Next week from 13th to 16th October,2025 )Qualifications & Skills:Bachelors degree in computer science, Software Engineering, or a related field.2 years of proven experience as a Python Developer.Strong proficiency in Python and the Machine Learning (ML).Candidate must have BFSI / Banking ( at least 1 to 3 years ) domain experience.Below is the JD for your reference. Proficient in Python with ML libraries, Scikit-learn, TensorFlow, PyTorch, Keras.

Key Responsibilities

• HI,Walk-Ins.Grab the opportunity in AI/MLClover Infotech is hiring for Python Machine Learning Developer for Airoli - Navi Mumbai location.Interview Type - Round 1- VirtualRound 2- Walk-ins Client site ( Preferred Mumbai based candidates only or can able to attend interview in Mumbai Next week from 13th to 16th October,2025 )Qualifications & Skills:Bachelors degree in computer science, Software Engineering, or a related field.2 years of proven experience as a Python Developer.Strong proficiency in Python and the Machine Learning (ML).Candidate must have BFSI / Banking ( at least 1 to 3 years ) domain experience.Below is the JD for your reference
• Proficient in Python with ML libraries, Scikit-learn, TensorFlow, PyTorch, Keras
• Experienced in data analysis, visualization: NumPy, Pandas, Matplotlib, Seaborn
• Design, build, and improve software systems that support the goals of the Walk-Ins - Python Developer ( Machine Learning ) function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.