
Data Scientist with Machine Learning Specialization
2 days ago
**Key Responsibilities**:
- Design, develop, and deploy machine learning models for prediction, recommendation, anomaly detection, NLP, or image processing tasks.
- Work with large, complex datasets to extract insights and build scalable solutions.
- Collaborate with data engineers to create efficient data pipelines and feature engineering workflows.
- Evaluate model performance using appropriate metrics and improve models through iterative testing and tuning.
- Communicate findings, insights, and model outputs clearly to non-technical stakeholders.
- Stay up to date with the latest machine learning research, frameworks, and technologies.
**Required Skills**:
- Strong programming skills in **Python** (Pandas, NumPy, Scikit-learn, etc.).
- Hands-on experience with ML/DL frameworks like **TensorFlow**, **PyTorch**, **XGBoost**, or **LightGBM**.
- Experience in building, deploying, and maintaining end-to-end ML models in production.
- Solid understanding of **statistics**, **probability**, and **mathematical modeling**.
- Proficiency with SQL and data manipulation in large-scale databases.
- Familiarity with version control (Git), CI/CD workflows, and model tracking tools (MLflow, DVC, etc.).
**Preferred Skills**:
- Experience with **cloud platforms** like AWS, GCP, or Azure (e.g., SageMaker, Vertex AI).
- Knowledge of **MLOps practices** and tools for scalable ML deployments.
- Exposure to real-time data processing or streaming (Kafka, Spark).
- Experience with **NLP**, **Computer Vision**, or **Time Series Forecasting**.
**Job Types**: Contractual / Temporary, Freelance
Pay: ₹800,000.00 - ₹1,800,000.00 per year
**Benefits**:
- Flexible schedule
- Work from home
Schedule:
- Night shift
- UK shift
- US shift
Work Location: Remote
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