Opportunity | MLops Architect | Tavant India
- Tavant Technologies
- 14 - 20 years
- Noida, Gurugram
- 1 month ago
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Job Description
Dear candidate,
Hope you are doing well!
We are seeking an experienced Senior MLOps Architect / Lead ML Engineer to design, implement, and maintain end-to-end ML engineering and MLOps solutions. In this role, you will be responsible for architecting pipelines using tools like MLflow, Feast Feature Store, advanced model serving frameworks, and monitoring systems. You will collaborate with cross-functional teams to ensure efficient, robust, and scalable machine learning operations across the entire lifecycle from development to deployment and beyond.
Job Description:
Exp: 13 - 21 years
Work Location: Bangalore/Hyderabad/Noida/Kolkata/Pune
Required Skill:
Roles & Responsibilities
Key Responsibilities
This role focuses on designing and implementing advanced MLOps architectures, integrating data ingestion, model training, deployment, and monitoring. Responsibilities include selecting and deploying MLOps tools like MLflow and Feast, while ensuring enterprise-grade infrastructure, security, and governance.
Key tasks involve developing CI/CD pipelines for automated model workflows, implementing low-latency model serving, and setting up monitoring systems to track model performance and detect drift. Collaboration with data engineering teams ensures efficient data pipelines and feature management.
Additionally, the role requires technical leadership, mentoring ML engineers, conducting reviews, and aligning ML solutions with business needs. Staying updated with emerging trends, evaluating new technologies, and ensuring compliance and documentation are also crucial aspects
Required Qualifications
- 14+ years in data science roles.6+ years of hands-on experience designing and implementing MLOps frameworks.
- Technical Expertise:
- MLflow: Proficient with experiment tracking, model registry, and model packaging.
- Feast Feature Store: Demonstrated experience implementing and managing feature stores at scale.
- Model Serving: In-depth understanding of deployment strategies (batch/streaming/real-time) using Docker, Kubernetes, or similar tools.
- Model Monitoring: Experience setting up performance metrics, alerting, and drift detection.
- Python: Extensive coding experience (data manipulation, building APIs, scripting).
- Cloud & DevOps: Familiarity with AWS, Azure,or GCP services, CI/CD tools (Jenkins, GitLab CI, etc.), and infrastructure-as-code (Terraform, CloudFormation).
- Soft Skills:
- Strong communication skills to articulate complex technical solutions to various stakeholders.
- Leadership and team-building capabilities, with a track record of mentoring engineers and data scientists.
- Problem-solving mindset with the ability to handle ambiguity and drive results in a fast-paced environment.
Please check below link for organisation details,
https://www.tavant.com/
If interested , please drop your resume to da*********i@ta***t.com
Regards
Dasari Krishna Gowri
Senior Executive HR
www.tavant.com
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Tavant TechnologiesLocation(s): Noida, Gurugram
Keyskills: python Deployment Kubeflow Aws Sagemaker Feast feature store Model Monitoring ML Flow
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Tavant Technologies Tavant is a digital products and solutions company that provides impactful results to its customers across a wide range of industries such as Consumer Lending, Aftermarket, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Our solutions, powere...
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