Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in mumbai
>
IBM
>
Data Scientist-Artificial Intelligence

Data Scientist-Artificial Intelligence

IBM

3 - 7 years

14 - 18 Lacs

mumbai

Posted:1 day ago| Platform:

Apply

Skills Required

python ml algorithms tensorflow pytorch statistics algorithms cnn natural language processing vertex scikit-learn aws sagemaker numpy machine learning azure devops data bricks pandas spark gcp computer vision hadoop aws big data data wrangling ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 education

Bachelor's Degree

Preferred education

Master's Degree

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.

More Jobs at IBM

Delivery Manager - RISK & Compliance - AML

Bengaluru

3 - 5 yrs

INR 5 - 7 Lacs

Delivery Manager-HUMAN Resources Operations

Bengaluru

6 - 10 yrs

INR 11 - 16 Lacs

Application Developer-Java & Web Technologies

Hyderabad

2 - 5 yrs

INR 7 - 11 Lacs

Deputy Manager Data Engineer - Analytics

Bengaluru

4 - 7 yrs

INR 10 - 15 Lacs

Data Scientist-Artificial Intelligence

Bengaluru

3 - 7 yrs

INR 14 - 18 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.