AI ML Engineer

• Design, develop, and deploy scalable AI/ML models tailored to client business objectives.
• Build end-to-end data pipelines integrating feature engineering, MLOps tooling, and monitoring frameworks.
• Establish model governance, ethics guidelines, and continuous performance evaluation processes.
• Mentor junior engineers and collaborate with cross-functional stakeholders to translate requirements into technical specifications.
• Optimize system performance and reliability through profiling, resource management, and automated testing.

Do you have experience in System performance monitoring?, * 3+ years of professional experience building production AI/ML solutions in a consulting or enterprise environment.

• Proficiency in Python, TensorFlow/PyTorch, and containerization (Docker, Kubernetes).
• Hands-on expertise with MLOps platforms such as MLflow, Kubeflow, or similar.
• Strong background in data engineering: SQL, ETL pipelines, and cloud storage services.
• Demonstrated ability to design monitoring dashboards and alerting for model drift and latency.

Bonus points

• Experience deploying models on AWS SageMaker, Azure ML, or GCP Vertex AI.
• Knowledge of explainable AI techniques (SHAP, LIME) and bias mitigation strategies.
• Familiarity with Agile/Scrum development practices and client-facing project delivery.
• Contributions to open source ML libraries or community talks.

Pulled from the full job description

• Work from home stipend
• Vision insurance
• Dental insurance
• Unlimited paid time off
• Conference stipend
• Flexible schedule, * Competitive salary with equity
• Unlimited PTO
• Learning and conference budget
• Home office stipend
• Health, dental, and vision coverage

At LMK Infotech you'll join a multidisciplinary team of engineers, data scientists, and product managers tackling complex problems for Fortune 500 clients. Your expertise will shape robust AI systems that drive decision-making across industries.