Hiring for Senior Data Scientist | Ahmedabad | 5+ years

Maruti TechLabs Pvt Ltd; Ahmedabad District; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Flexible work timings

5 days a week

Competitive salary

Medical insurance

Sponsored training

Performance bonuses

Work-life balance

Job summary

ThoughtWin - A CMMI Level 3 Company is seeking a Senior Data Scientist (AI/ML Engineer) to design, develop, and deploy ML models addressing real business problems. You will work on data analysis, model training, validation, optimization, and production deployment while ensuring performance and scalability.

The role involves building and deploying models, evolving MLOps pipelines, and staying current with ML advancements to deliver robust solutions for clients and internal projects.

Qualifications

• Proven experience as an AI/ML Engineer or similar role.
• Strong knowledge of Python and R.
• Strong foundation in mathematics, probability & statistics.
• Experience with TensorFlow, PyTorch, Keras, scikit-learn.
• Familiarity with AWS / Azure / Google ML services (Good to have).
• Knowledge of Docker, Kubernetes & MLOps (Preferred).
• Strong problem-solving & communication skills.

Responsibilities

• Develop and deploy ML models for real-world applications.
• Analyze and preprocess datasets, perform feature engineering.
• Select and evaluate ML algorithms.
• Train, tune, and validate models.
• Perform statistical analysis and error optimization.
• Deploy models to production environments.
• Work on MLOps pipelines and monitoring.
• Stay updated with the latest ML advancements.

Skills

Python

R

Mathematics

Communication

Problem solving

ML deployment

MLOps

Education

B.S./M.S. in Computer Science

Tools

TensorFlow

PyTorch

Keras

scikit-learn

Docker

Kubernetes

AWS

Azure

GCP

Job description

We are looking for a skilled Senior Data Scientist (AI/ML Engineer) to design, develop, and deploy machine learning models that solve real business problems. You will work on data analysis, model training, validation, optimization, and production deployment while ensuring performance and scalability.

Responsibilities

• Develop and deploy ML models for real-world applications
• Analyze and preprocess datasets, perform feature engineering
• Select and evaluate ML algorithms
• Train, tune, and validate models
• Perform statistical analysis and error optimization
• Deploy models to production environments
• Work on MLOps pipelines and monitoring
• Stay updated with the latest ML advancements

Requirements

• Proven experience as an AI/ML Engineer or similar role
• Strong knowledge of Python and R
• Strong foundation in mathematics, probability & statistics
• Experience with TensorFlow, PyTorch, Keras, scikit-learn
• Familiarity with AWS / Azure / Google ML services (Good to have)
• Knowledge of Docker, Kubernetes & MLOps (Preferred)
• Strong problem‑solving & communication skills

Qualifications

B.S. / M.S. in Computer Science or equivalent experience

Benefits

• Flexible Work Timings
• 5 Days Working
• Competitive Salary
• Medical Insurance
• Sponsored Training
• Performance & Surprise Bonuses
• Work-Life Balance Environment