Design and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients.
Responsibilities
- Design, develop, and deploy machine learning models for real-world applications.
- Build and optimize data pipelines for training and inference.
- Collaborate with cross-functional teams (DevOps, product, design) to integrate AI solutions into production systems.
- Conduct data preprocessing, feature engineering, and model evaluation .
- Monitor model performance and implement continuous improvement strategies .
- Research and apply state-of-the-art AI/ML techniques to solve business problems.
- Document processes, maintain reproducibility, and ensure scalable deployment .
- Ensure compliance with security, privacy, and ethical AI standards .
Requirement
- Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field .
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and DevOps practices .
- Solid understanding of algorithms, statistics, and data structures .
- Hands‑on experience with NLP, computer vision, or predictive analytics .
- Familiarity with MLOps tools (Docker, Kubernetes, CI/CD pipelines).
- Strong problem‑solving skills and ability to work in collaborative teams .
- Excellent communication skills to explain complex AI concepts to non‑technical stakeholders.
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