Data Scientist

Required Technical Skills

• PyTorch
• TensorFlow
• Scikit-learn
• Docker
• Kubernetes
• REST APIs
• Statistical analysis and data modeling techniques

Role & responsibilities

• Develop end-to-end AI/ML-based solutions for real-world business problems.

• Analyze problem statements and map them to suitable Machine Learning / Deep Learning approaches.

• Perform statistical analysis and derive actionable insights from structured and unstructured data.

• Design and execute A/B testing experiments for model validation and business optimization.

• Build, train, fine-tune, and deploy ML/DL models.

• Optimize models for performance, scalability, and throughput, including:

• Hardware optimization

• Model pruning

• Inference optimization

• Collaborate with cross-functional teams including engineering, product, and business stakeholders.

• Develop and maintain scalable ML pipelines and APIs.

Preferred Skills

• Experience with model deployment and MLOps practices.
• Familiarity with cloud platforms and distributed computing environments.
• Knowledge of performance tuning for AI workloads.
• Strong analytical and problem-solving skills.