CLOUDSUFI
https://www.cloudsufi.comAbout
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DockerCLOUDSUFI is a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Job type - Fulltime / Contract
Summary
We are looking for a Senior MLOps Engineer to support the AI CoE in building and scaling machine learning operations. This position requires both strategic oversight and direct involvement in MLOps infrastructure design, automation, and optimization. The person will lead a team while collaborating with various stakeholders to manage machine learning pipelines and model deployments in GCP / AWS / Azure. One of key parts of this role would also be managing data and models using data cataloging tools, ensuring that they are well- documented, versioned, and accessible for reuse and auditing.
Job Description:
⮚ Deploy models to production in GCP and own the model maintenance, monitoring and support activities
⮚ Split time between high-level strategy and hands-on technical implementation
⮚ Architect, build, and maintain scalable MLOps pipelines, with a focus on GCP / AWS / Azure services such as Vertex AI, GKE, Cloud Storage, and Big Query; stay up-to-date with the latest trends and advancements in MLOps
⮚ Implement and optimize CI/CD pipelines for machine learning model deployment, ensuring minimal downtime and streamlined processes
⮚ Work closely with data scientists and data engineers to ensure efficient data processing pipelines, model training, testing, and deployment
⮚ Manage data catalog tools for model and dataset versioning, lineage tracking, and governance. Ensure that all models and datasets are properly documented and discoverable
⮚ Develop automated systems for model monitoring, logging, and performance tracking in production environments
⮚ Lead the integration of data cataloging tools (e.g., Open MetaData), ensuring the traceability and versioning of both datasets and models.
Required Experience:
⮚ Bachelor’s degree in Computer Science, Engineering or similar quantitative disciplines
⮚ 4+ years of professional experience in MLOps or similar roles
⮚ Candidate should be able to able to write code in ML
⮚ Excellent analytical and problem-solving skills for technical challenges related to MLOps
⮚ Excellent English proficiency, presentation, and communication skills ⮚ Proven experience in deploying, monitoring, and managing machine learning models on GCP / AWS / Azure
⮚ Hands-on experience with data catalog tools
⮚ Expert in GCP / AWS / Azure services such as Vertex AI, GKE, BigQuery, and Cloud Build, Endpoint etc for building scalable ML infrastructure (GCP / AWS / Azure official Certifications are a huge plus) ⮚ Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe), and MLOps tools like Kubeflow, MLflow, or TFX
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
XMLReporting to: Solution Architect / Program Manager / COE Head
Location: Noida, Delhi NCR
Shift: Normal Day shift with some overlap with US timezones
Experience: 4-7 years
Education: BTech / BE / MCA / MSc Computer Science
Industry: Product Engineering Services or Enterprise Software Companies
Primary Skills - Java 8/9, Core Java, Design patterns (more than Singleton & Factory),
Webservices development REST/SOAP, XML & JSON manipulation, CI/CD.
Secondary Skills - Jenkins, Kubernetes, Google Cloud Platform (GCP), SAP JCo library
Certifications (Optional): OCPJP (the Oracle Certified Professional Java Programmer) / Google
Professional Cloud Developer
Required Experience:
● Must have integration component development experience using Java 8/9 technologies
and service-oriented architecture (SOA)
● Must have in-depth knowledge of design patterns and integration architecture
● Experience with developing solutions on Google Cloud Platform will be an added
advantage.
● Should have good hands-on experience with Software Engineering tools viz. Eclipse,
NetBeans, JIRA, Confluence, BitBucket, SVN etc.
● Should be very well verse with current technology trends in IT Solutions e.g. Cloud
Platform Development, DevOps, Low Code solutions, Intelligent Automation
Good to Have:
● Experience of developing 3-4 integration adapters/connectors for enterprise applications
(ERP, CRM, HCM, SCM, Billing etc.) using industry standard frameworks and
methodologies following Agile/Scrum
Non-Technical/ Behavioral competencies required:
● Must have worked with US/Europe based clients in onsite/offshore delivery model
● Should have very good verbal and written communication, technical articulation, listening
and presentation skills
● Should have proven analytical and problem solving skills
● Should have demonstrated effective task prioritization, time management and
internal/external stakeholder management skills
● Should be a quick learner, self starter, go-getter and team player
● Should have experience of working under stringent deadlines in a Matrix organization
structure
● Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in
past organizations
Job Responsibilities:
● Writing the design specifications and user stories for the functionalities assigned.
● Develop assigned components / classes and assist QA team in writing the test cases
● Create and maintain coding best practices and do peer code / solution reviews
● Participate in Daily Scrum calls, Scrum Planning, Retro and Demos meetings
● Bring out technical/design/architectural challenges/risks during execution, develop action
plan for mitigation and aversion of identified risks
● Comply with development processes, documentation templates and tools prescribed by
CloudSufi or and its clients
● Work with other teams and Architects in the organization and assist them on technical
Issues/Demos/POCs and proposal writing for prospective clients
● Contribute towards the creation of knowledge repository, reusable assets/solution
accelerators and IPs
● Provide feedback to junior developers and be a coach and mentor for them
● Provide training sessions on the latest technologies and topics to others employees in
the organization
● Participate in organization development activities time to time - Interviews,
CSR/Employee engagement activities, participation in business events/conferences,
implementation of new policies, systems and procedures as decided by Management team.
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