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Data Scientist-Artificial Intelligence Job Opening In Mumbai – Now Hiring IBM

Data Scientist Artificial Intelligence

    India Jobs Expertini Expertini › India › Jobs › Mumbai › Other General › Data Scientist Artificial Intelligence

Job description

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world.

Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting.

In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients.

Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment
**Your role and responsibilities**
Role Overview

We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems.

The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills.

Key Responsibilities

* Work with stakeholders to understand business problems and translate them into ML solutions.
* Perform data exploration, cleaning, and feature engineering for structured and unstructured datasets.
* Build and validate models using algorithms for classification, regression, clustering, recommendation, NLP, or CV as applicable.
* Use Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) for ML workflows.
* Deploy models into production via ML pipelines (MLflow, SageMaker, Azure ML, or equivalent).
* Track and evaluate models using MLOps practices (versioning, reproducibility, monitoring).
* Present insights and recommendations to business teams with visualizations and storytelling.
**Required technical and professional expertise**
Mandatory Skills

* Strong proficiency in Python for ML.
* Good understanding of statistics, probability, and hypothesis testing.
* Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
* Hands-on with data wrangling, feature engineering, and preprocessing.
* Practical experience with at least one cloud ML platform (Azure ML, AWS SageMaker, or GCP Vertex AI).
* Experience with model deployment and lifecycle management (MLflow or similar).
**Preferred technical and professional experience**
Good to Have

* Experience with NLP (transformers, embeddings) or Computer Vision (CNNs).
* Exposure to Databricks MLflow & Feature Store.
* Familiarity with big data frameworks (Spark, Databricks, Hadoop).
* Experience with real-time ML inference pipelines.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


Required Skill Profession

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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 IBM adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Mumbai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Data Scientist Artificial Intelligence Job Success

IBM interview tips for Data Scientist Artificial Intelligence

Here are some tips to help you prepare for and ace your Data Scientist Artificial Intelligence job interview:

Before the Interview:

Research: Learn about the IBM'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.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist Artificial Intelligence interview at IBM, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the IBM's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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