AI​/ML Engineer

We are looking for an experienced Data Scientist with strong expertise in AI/ML, Generative AI, LLMs, NLP, and MLOps. The ideal candidate will lead solution design, predictive analytics, and time-series modeling initiatives while driving innovation in deep learning and enterprise AI deployments.

• Design and implement advanced ML models, including LLMs and RAG-based NLP for enterprise applications.
• Develop generative AI solutions for automation, personalization, and content generation.
• Lead end-to-end AI solution design, ensuring scalability, security, and compliance.
• Collaborate with stakeholders to align AI strategies with business objectives.

• Build predictive models for forecasting and anomaly detection using time-series data.
• Apply statistical and deep learning techniques for trend analysis and optimization.
• Implement advanced DL architectures for image, text, and multimodal data.
• Develop NLP pipelines for text classification, entity recognition, and conversational AI.

• Establish robust MLOps frameworks for model lifecycle management, CI/CD, and monitoring.
• Deploy AI models on cloud platforms (AWS, Azure) ensuring high availability and cost efficiency.

• Lead cross-functional teams, mentor junior data scientists, and drive best practices in AI development.

• Strong proficiency in Python, R, SQL, and ML/DL frameworks (Tensor Flow, PyTorch).
• Hands‑on experience with LLMs, Generative AI, NLP, and MLOps tools.
• Expertise in time-series modeling, predictive analytics, and deep learning architectures.
• Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
• Excellent communication and leadership skills.
• Master or Ph.D. in Computer Science, Data Science, AI/ML, or related field.

• Experience with AI governance and model validation frameworks.
• Certifications in AWS/Azure AI services.