Data Scientist (AI/ML) | 4 + Years

Overview

Job Description:

We are looking for an experienced Data Scientist (AI/ML) with 4+ years of expertise in machine learning, deep learning, and AI-driven solutions. The ideal candidate will have a strong analytical mindset, proficiency in Python, TensorFlow, PyTorch, and cloud-based ML services, and a passion for solving complex data problems.

Responsibilities:

• Develop, deploy, and optimize AI/ML models for various business use cases.
• Analyze large datasets to extract insights and patterns using statistical techniques.
• Implement NLP, computer vision, and predictive analytics models based on business needs.
• Work with structured and unstructured data from diverse sources.
• Optimize ML models for scalability, efficiency, and performance.
• Collaborate with data engineers and software developers to integrate AI solutions into applications.
• Stay up-to-date with the latest AI trends, frameworks, and technologies.

Required Skills:

✅ Strong proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
✅ Experience with cloud-based ML services (AWS, GCP, or Azure).
✅ Hands-on expertise in NLP, computer vision, or deep learning techniques.
✅ Knowledge of MLOps, model deployment, and monitoring.
✅ Strong problem-solving and analytical skills.
✅ Familiarity with Big Data tools (Spark, Hadoop) and data visualization (Tableau, Power BI, Matplotlib) is a plus.

Preferred Qualifications:

• Experience with AutoML and Generative AI.
• Proficiency in containerization (Docker, Kubernetes) for ML model deployment.
• Google/AWS/Azure ML certifications.

Benefits:

✨ Competitive salary & performance bonuses
✨ Hybrid work
✨ Opportunities for learning and career growth
✨ Exposure to cutting-edge AI/ML projects

Apply Now!

Job Types: Full-time, Permanent

Pay: ₹552,873.59 - ₹2,000,000.00 per year

Schedule:

• Monday to Friday

Application Question(s):

• Working or serving your notice period?

Experience:

• AI/ML: 4 years (Preferred)
• Data scientist: 4 years (Preferred)
• Big data: 4 years (Preferred)

Work Location: In person