Walk-Ins - Python Developer ( Machine Learning )

HI,

Walk-Ins...Grab the opportunity in AI/ML

Python Machine Learning Developer

Interview Type -

Round 1- Virtual

Round 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.
• Strong in

  ML algorithms:

  regression, classification, clustering, ensemble, time-series.
• Knowledge of

  deep learning:

  CNNs, RNNs, Transformers.
• Skilled in

  NLP tools:

  NLTK, SpaCy, Hugging Face.
• Hands-on with

  PySpark

  for large-scale data processing.
• Familiar with

  cloud platforms

  (AWS, Azure, GCP) and tools (Docker, Kubernetes, MLflow).
• Good in

  SQL,NoSQL databases.

• Understanding of

  MLOps:

  CI/CD, model monitoring, versioning.
• Strong

  problem-solving and analytical skills.

• Good

  communication and teamwork

  in agile environments.
• Passionate about

  continuous learning

  in AI/ML.

Eligible candidates can share the following details along with the updated cv on darshana.kadam@cloverinfotech.com. for more details please connect me on 9653451661.

Current company name-

Total Experience-

Relevant Experience -

Current location Mumbai- Yes / No

Ready to relocate - Yes / No

Current CTC-

Expected CTC-

Serving Notice Yes / No -

Last working day-

Technical Experience in Years - Python Experience / ML Experience

Comfortable for Walk-in-

Preferred Wilkin Date and Time -

Reason for change-

Talent team, Clover Infotech