AI/ML Engineer

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.