MLOps Engineer (AI / ML / Cloud)

Location: Pune / Remote
Experience: 8+ years (3+ years in MLOps)
Employment Type: Full-time
Notice Period: Max 30 days

Job Description

At VantageIQ Technologies, we build scalable AI, data, and cloud solutions for high-growth, tech-driven businesses. We are looking for an experienced MLOps Engineer to design and scale production-grade machine learning systems across real-world use cases in AI, analytics, and digital transformation.

This role sits at the intersection of machine learning, data engineering, and cloud infrastructure, enabling faster model deployment, reliability, and business impact.

Roles and Responsibilities

• Design, build, and manage end-to-end MLOps pipelines (training → deployment → monitoring)
• Productionize ML models across AI, data science, and analytics use cases
• Implement CI/CD pipelines for machine learning workflows
• Manage model lifecycle including versioning, retraining, and monitoring
• Work with cloud-native ML platforms (AWS, Azure, GCP) for scalable deployments
• Deploy and manage workloads using Docker and Kubernetes
• Integrate tools like MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI
• Monitor models for drift, performance, and reliability
• Collaborate with data scientists, engineers, and business teams to deliver production-ready AI solutions
• Ensure best practices in data pipelines, reproducibility, and governance

Required Skills

• 8+ years of experience with 3+ years in MLOps / ML Engineering
• Strong programming skills in Python
• Hands-on experience with production ML pipelines and deployments
• Experience with ML platforms (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI)
• Strong understanding of CI/CD for ML systems
• Expertise in Docker and Kubernetes
• Experience working on cloud platforms (AWS / Azure / GCP)
• Knowledge of model monitoring, logging, and performance tuning
• Understanding of data engineering and pipeline orchestration
• Strong problem-solving and ownership mindset

Who Should Apply

• Engineers passionate about scaling ML systems in production
• Professionals who can work with high ownership in fast-paced environments
• Candidates experienced in AI, data engineering, and cloud ecosystems
• Individuals who enjoy solving real-world business problems using ML

Why Join VantageIQ Technologies

• Work on cutting-edge AI, GenAI, and data engineering projects
• Collaborate with CXOs, data leaders, and global clients
• Exposure to end-to-end product and ML lifecycle ownership
• Fast-paced, high-impact consulting environment
• Strong learning curve across AI + Cloud + Data stack