Description

You will design, develop, and deploy machine learning and deep learning solutions that drive measurable business outcomes.

This role is on-site.

Responsibilities

• Design, build, train, evaluate, and deploy machine learning and deep learning models.
• Develop LLM-based solutions including prompt engineering, RAG, embeddings, and fine-tuning.
• Perform data preprocessing, feature engineering, and model validation.
• Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes.
• Integrate AI models into microservices and enterprise platforms.

Required Skills

• 5-15 years of experience in AI/ML engineering.
• Strong proficiency in Machine Learning and Deep Learning frameworks.
• Hands-on experience with MLOps practices.
• Expertise in CI/CD pipelines for model deployment.
• Proficiency in Docker and Kubernetes for containerization.
• Experience with LLM integration, prompt engineering, and RAG architectures.
• Knowledge of microservices and enterprise platform integration.
• Understanding of security, privacy, and responsible AI standards.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience collaborating with business and delivery teams to translate requirements into AI use cases.

Key Skills

Education

Bachelor's degree