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▷ (3 Days Left) Data Scientist Job Opening In India, India – Now Hiring Celebal Technologies


Job description

Job Title: Data Scientist

Job Location: Jaipur | Pune | Bangalore

Experience: 3+ years

Job Description

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning and Python programming.

The ideal candidate should be passionate about writing clean and efficient code, developing production-ready ML models, and solving complex business challenges using data.

In addition, good exposure to Generative AI (GenAI) is highly desirable.

This role is best suited for someone who thrives in coding-intensive environments, enjoys

experimenting with algorithms, and can translate theoretical concepts into scalable ML and AI

solutions.

Key Responsibilities

• Machine Learning Development: Design, build, and optimize classical ML models

(regression, SVM, decision trees, random forests, gradient boosting, clustering,

dimensionality reduction).

• Python Programming: Write clean, efficient, and scalable Python code, leveraging libraries

such as NumPy, Pandas, Scikit-learn, etc.

• Deep Learning Systems: Implement and fine-tune deep learning models (CNNs, RNNs,

Transformers) using frameworks like TensorFlow or PyTorch.

• Generative AI (Good Exposure Required): Work with LLMs, Transformers, GANs, VAEs; fine-

tune and optimize GenAI models; contribute to prompt engineering and applied use cases.

• Data Management & Feature Engineering: Handle large datasets, perform preprocessing,

augmentation, and feature engineering for ML workflows.

• Model Deployment & Monitoring: Deploy models into production and monitor performance,

addressing issues like drift, bias, or overfitting.

• Coding Standards: Participate in code reviews, ensure best practices in coding, scalability,

and maintainability of ML solutions.

• Collaboration: Work closely with cross-functional teams including engineers and product

managers to integrate ML/GenAI solutions into real-world applications.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics,

or related fields.

• Primary Skills: Strong expertise in Machine Learning and Python programming.

• Good exposure to Generative AI (LLMs, Transformers, Prompt Engineering, Fine-tuning

models).

• Experience with ML/DL frameworks such as TensorFlow, PyTorch, or Keras.

• Good mathematical/statistical foundation in probability, optimization, and modeling.

• Familiarity with deployment platforms (AWS SageMaker, Azure ML, GCP AI) and MLOps

practices is an advantage.

• Strong coding discipline, with experience in writing optimized, production-ready code.

Soft Skills & Behavioural Competencies

• Strong problem-solving and analytical mindset.

• Excellent communication and collaboration skills.

• Self-motivated, reliable, and detail-oriented.

• Ability to manage time effectively and meet deadlines.

• Eagerness to learn and adapt to emerging technologies.

Candidate Can share cv or reference at sulabh.tailang@celebaltech.com

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Celebal Technologies adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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Celebal Technologies interview tips for ▷ (3 Days Left) Data Scientist

Here are some tips to help you prepare for and ace your ▷ (3 Days Left) Data Scientist job interview:

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Research: Learn about the Celebal Technologies's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

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