Eucloid - MLOps Engineer (3-9 yrs)

Job Description :

Role : MLOps Engineer

About Eucloid :

At Eucloid, innovation meets impact. As a leader in AI and Data Science, we creat solutions that redefine industriesfrom Hi-tech and D2C to Healthcare and SaaS. Wit partnerships with giants like Databricks, Google Cloud, and Adobe, were pushing boundaries and building next-gen technology.

Join our talented team of engineers, scientists, and visionaries from top institutes like IITs, IIMs, and NITs. At Eucloid, growth is a promise, and your work will drive transformative results for Fortune 100 clients.

What Youll Do :

As an MLOps Engineer, you will play a critical role in ensuring the operationalization and automation of machine learning models.

Your day-to-day will include :

- Design and implement large-scale cloud infrastructure for microservices, big data, and Machine Learning (ML) architectures.

- Develop and deploy scalable applications using Java or Python, with expertise in full-stack development and Kubernetes-based setups.

- Automate platform workflows and infrastructure with tools like Terraform, Jenkins, and scripting in Python, Java, or Groovy.

- Build and manage big data pipelines using tools like EMR, Redshift, BigQuery, Apache Airflow, and Flink.

- Oversee observability tools such as Dynatrace, ELK, and Service Mesh Architecture (e.g., Anthos).

- Deploy and manage LLM and VLLM models with platforms like GCP, VertexAI and SageMaker.

- Integrate API gateways (e.g., Apigee, APIM, Kong) and optimize content delivery using CDNs.

- Architect event-driven systems with Kafka, SQS, and Pub/Sub, focusing on distributed systems.

- Enhance automation and CI/CD pipelines, implementing DevOps best practices for seamless project delivery.

- Collaborate on systems design, implementing microservices architectures like SAGA, CQRS, and event-driven designs.

What Makes You a Fit :

Academic Background :

- Bachelors or Masters in Computer Science, Engineering, or a related quantitative discipline from a top-tier institution.

- Relevant certifications in areas like Kafka Administration, Kubernetes Administration, GCP Cloud Engineer/Architect, or Elasticsearch are an added advantage.

Technical Expertise :

- A minimum of 3 years of experience in ML Ops, Data Engineering, or related fields, with hands-on experience deploying and managing ML models in production.

- Proven experience in cloud infrastructure design, with a focus on AWS and GCP.

- Advanced proficiency in Java, Python, and full-stack development, including Kubernetes and Helm.

- Expertise in Infrastructure as Code (IaaC) with tools like Terraform, Jenkins, and configuration management tools.

- Hands-on experience with big data tools such as EMR, Redshift, BigQuery, DataProc, and Flink.

- Deep knowledge of observability tools and distributed system technologies.

- Strong understanding of event-driven architectures using Kafka, with Kafka certification preferred.

- Experience deploying ML models, including LLM/VLLM, on platforms like VertexAI and SageMaker.

- Proficiency in both SQL and NoSQL databases (e.g., ElasticSearch, MongoDB, Redis).

Extra Skills :

- Familiarity with fintech domains such as digital banking and large-scale payment systems.

- Strong grasp of DevOps principles, including CI/CD pipeline setup and automation.

- Advanced knowledge of systems design and patterns like Circuit Breaker, Aggregator, and Distributed Tracing.

- Certifications in Spark cluster management, Kubernetes, or Elasticsearch administration are highly desirable.

Why You'll Love It Here :

- Innovate with the Best Tech : Work on groundbreaking projects using AI, GenAI, LLMs and massive-scale data platforms. Tackle challenges that push the boundaries of innovation.

- Impact Industry Giants : Deliver business-critical solutions for Fortune 100 clients across Hi-tech, D2C, Healthcare, SaaS and Retail. Partner with platforms like Databricks, Google Cloud and Adobe to create high-impact products.

- Collaborate with a World-Class Team : Join exceptional professionals from IITs, IIMs, NITs and global leaders like Walmart, Amazon, Accenture, and ZS. Learn, gro, and lead in a team that values expertise and collaboration.

- Accelerate Your Growth : Access our Centres of Excellence to upskill and work on industry-leading innovations. Your professional development is a top priority.

- Work in a Culture of Excellence : Be part of a dynamic workplace that fosters creativity, teamwork and a passion for building transformative solutions. Your contributions will be recognized and celebrated.