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ML Ops Engineer
Mastech DigitalKakinada, IN2 days ago
Job description12+ - years of experience Mastery of relevant technical skills : Deep expertise in MLOps, model deployment, monitoring, and governance. Significant experience in designing and implementing complex MLOps systems at scale : Lead the architecture and deployment of large-scale MLOps platforms on GCP. Hands-on experience architecting large-scale ML platforms on GCP (Vertex AI, GKE, Dataflow, Big Query, Pub / Sub, Cloud Composer), implementing experiment tracking (MLflow, Weights & Biases, TensorBoard), feature stores (Vertex AI), data pipelines and workflow orchestration, and ensuring cloud security, compliance, disaster recovery, and cost optimization. Strong leadership and team management skills : Build, mentor, and lead high-performing MLOps teams. Excellent strategic thinking and problem-solving abilities : Translate business challenges into scalable, reliable MLOps solutions. Exceptional communication and influencing skills : Advocate for MLOps initiatives, and influence executive decisions and represent the organization externally through conferences, publications, and industry engagement. Deep expertise in MLOps, model deployment, monitoring, and governance Experience building scalable MLOps platforms on GCP Proficiency with CI / CD for ML, containerization (e.g. Docker, Kubernetes), IaC (Terraform), and orchestration Leadership in MLOps strategy, standards, and cross-team collaboration Hands-on expertise with GCP ML and data services (Vertex AI, Dataflow, BigQuery, Pub / Sub, Cloud Composer, GKE). Experience implementing model observability (performance monitoring, drift detection, dashboards, and alerts). Proficiency with experiment tracking (MLflow, W&B) and feature store management. Knowledge of cloud security, compliance, and cost optimization strategies.
Position Title : ML Ops Engineer 4
Complete onsite .
Full-Time role
Shift Timings : 10-7 pm / 11-8 pm / 12-9 pm
Address : Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081.
Job Description :
Roles & Responsibilities :
- Define the long-term vision and strategy for MLOps initiatives : Set the direction for the organization’s MLOps, model deployment, and monitoring practices.
- Lead and manage a team of MLOps engineers : Provide technical guidance, mentorship, and career development for team members.
- Identify and explore cutting-edge research areas and technologies : Stay abreast of the latest advancements in MLOps, model serving, and AI operations.
- Drive innovation and the development of novel MLOps solutions : Lead efforts, prototype new approaches, and oversee implementation of advanced MLOps platforms.
- Design and manage scalable ML infrastructure and pipelines on GCP; oversee model deployment (A / B testing, rollouts / rollbacks, auto-scaling), and establish monitoring / observability (performance, drift, KPIs).
- Ensure ML operations meet governance, security, compliance, and disaster recovery standards across the organization.
- Collaborate with executive leadership on strategic decision-making : Align MLOps initiatives with business objectives and organizational priorities.
- Establish and enforce MLOps standards and best practices : Ensure quality, reproducibility, and security of ML systems across the organization.
- Represent the organization in external MLOps communities : Speak at conferences, publish thought leadership, and build partnerships with academia and industry.
Technical Skills :
Must Have Skills :
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Ml Engineer • Kakinada, IN