
Search by job, company or skills
Key Responsibilities
Collaborate with business stakeholders to understand use cases and define AI solutions.
Build and deploy ML models into production following MLOps best practices (model versioning, monitoring, CI/CD).
Develop and maintain data pipelines for scalable and maintainable AI solutions.
Support data exploration, feature engineering, and model building as needed.
Automate model retraining, testing, and performance monitoring.
Ensure all AI models adhere to organizational policies, responsible AI practices, and audit requirements.
Document ML workflows, governance checkpoints, and risk assessments.
Partner with CloudOps, DevOps, IT, and security teams to integrate AI solutions into enterprise platforms.
Analyze and optimize AI/ML solutions for performance, scalability, and reliability.
Mentor and guide team members in AI engineering best practices and technical decision-making
Qualifications & Requirements
Bachelor's or Master's degree in AI, ML, data science, or related field with proven experience designing and developing ML models.
8+ years of experience in software development, data science, and ML, with at least 3+ years in AI engineering roles.
Strong programming skills in Python and experience with AI/ML libraries (pandas, scikit-learn, TensorFlow, PyTorch).
Experience with LLM orchestration frameworks (Langchain, LangGraph, vLLM, LMDeploy).
Proven experience in the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
Knowledge of NoSQL databases experience with graph databases is a plus.
Familiarity with MLOps tools such as MLflow, Airflow, or Kubeflow.
Experience with cloud platforms (AWS, GCP) for AI solution deployment.
Strong understanding of AI governance, model risk management, and regulatory requirements.
Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.
To Apply, please kindly email your updated resume to
Regret to inform that only shortlisted candidates will be notified.
CEI: R25127749
EA License: 14C7275
Job ID: 135568919