2 Seldon Core Jobs

We are seeking a skilled MLOps Engineer with expertise in deploying and managing machine learning models utilizing cloud-native CI/CD pipelines, FastAPI, and Kubernetes, excluding Docker. The perfect candidate will have a strong background in scalable model serving, API development, and infrastructure automation on the cloud utilizing native container alternatives or pre-built images. Responsibilities will include designing, developing, and maintaining CI/CD pipelines for ML model training, testing, and deployment on cloud platforms such as Azure, AWS, and GCP. You will be tasked with creating REST APIs using FastAPI for model inference and data services, as well as deploying and orchestrating microservices and ML workloads on Kubernetes clusters like EKS, AKS, GKE, or on-prem K8s. It will be essential to implement model monitoring, logging, and version control without Docker-based containers, utilizing alternatives such as Singularity, Buildah, or cloud-native container orchestration. Automation of deployment pipelines using tools like GitHub Actions, GitLab CI, Jenkins, and Azure DevOps will also be part of your role. Additionally, you will manage secrets, configurations, and infrastructure using Kubernetes secrets, ConfigMaps, Helm, or Kustomize, while collaborating closely with Data Scientists and Backend Engineers to integrate ML models with APIs and UIs. Your responsibilities will also include optimizing performance, scalability, and reliability of ML services in production. The ideal candidate should possess strong experience with Kubernetes, including deployment, scaling, Helm, and Kustomize. A deep understanding of CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps is required. Proficiency in FastAPI for high-performance ML/REST APIs is essential, along with experience in cloud platforms like AWS, GCP, or Azure for ML pipeline orchestration. Familiarity with non-Docker containerization or deployment tools such as Singularity, Podman, or OCI-compliant methods is preferred. Strong Python skills and familiarity with ML libraries and model serialization (e.g., Pickle, ONNX, TorchServe) are also necessary, as well as a good understanding of DevOps principles, GitOps, and IaC (Terraform or similar). Preferred qualifications include experience with Kubeflow, MLflow, or similar tools, along with familiarity with model monitoring tools like Prometheus, Grafana, or Seldon Core. An understanding of security and compliance in production ML systems is advantageous. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred. This is a full-time, permanent position in the Technology, Information, and Internet industry.,

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere - on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB is growing rapidly and seeking a Software Engineer for the Data Platform team to be a key contributor to the overall internal data platform at MongoDB. The Data Platform team focuses on building reliable, flexible, and high-quality data infrastructure such as a streaming platform, ML platform, and experimentation platform to enable all of MongoDB to utilize the power of data. As a Software Engineer, you will design and build a scalable data platform to help drive MongoDB's growth as a product and as a company, while also lending your technical expertise to other engineers as a mentor and trainer. You will tackle complex platform problems with the goal of making our platform more scalable, reliable, and robust. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Who you are - You have worked on production-grade building applications and are capable of making backend improvements in languages such as Python and Go. - You have experience building tools and platforms for business users and software developers. - You have experience with or working knowledge of cloud platforms and services. - You enjoy working on full-stack applications including UI/UX, API Design, databases, and more. - You're looking for a high impact and growth role with a variety of opportunities to drive the adoption of data via services and tooling. - You're passionate about developing reliable and high-quality software. - You're curious, collaborative, and intellectually honest. - You're a great team player. What you will do - Design and build UI, API, and other data platform services for data users including but not limited to analysts, data scientists, and software engineers. - Work closely with product design teams to make improvements to the internal data platform services with an emphasis on UI/UX. - Perform code reviews with peers and make recommendations on how to improve our code and software development processes. - Design boilerplate architecture that can abstract underlying data infrastructure from end users. - Further improve the team's testing and development processes. - Document and educate the larger team on best practices. - Help drive optimization, testing, and tooling to improve data platform quality. - Collaborate with other software engineers, machine learning experts, and stakeholders, taking learning and leadership opportunities that will arise every single day. Bonus Points - You have experience with the modern JavaScript environment including frontend frameworks such as React and Typescript. - You are familiar with data infrastructure and toolings such as Presto, Hive, Spark, and BigQuery. - You are familiar with deployment and configuration tools such as Kubernetes, Drone, and Terraform. - You are interested in web design and have experience directly working with product designers. - You have experience designing and building microservices. - You have experience building a machine learning platform using tools like SparkML, Tensorflow, Seldon Core, etc. Success Measures - In three months you will have familiarized yourself with much of our data platform services, be making regular contributions to our codebase, will be collaborating regularly with stakeholders to widen your knowledge, and helping to resolve incidents and respond to user requests. - In six months you will have successfully investigated, scoped, executed, and documented a small to medium-sized project and worked with stakeholders to make sure their user experiences are vastly enhanced by implementing improvements to our platform services. - In a year you will have become the key person for several projects within the team and will have contributed to not only the data platform's roadmap but MongoDB's data-driven journey. You will have made several sizable contributions to the project and are regularly looking to improve the overall stability and scalability of the architecture. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance, and a generous parental leave policy, we value our employees" wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,