
Data Scientist
3 days ago
**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**.
- 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
**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
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