Staff Machine Learning Operations Engineer at Western Governors University Remote Job | AllRemote Staff Machine Learning Operations Engineer Delhi, Mumbai, Bengaluru, Gurugram, Chennai Role Operations Developer Why you should join Western Governors University Rapid career advancement with opportunities to learn Opportunity in a company with a solid track record of performance Stable company with a strong employer brand Mission-driven company with powerhouse founders Training and mentorship to learn from best in class talent About the role Designs and develops web/backend and cicd services. Manages multiple tasks and responsibilities in high-pressure environments; excelling at pinpointing and resolving problems in early project stages to avoid cost/time expenses. Delivers high quality projects on time, through ability to design architecture. Writes high quality code, and effective unit tests establishing and enforcing standards for the other engineers. Monitors and optimizes performance for high utilization 24x7 service. Reduces incident occurrence by eliminating the root cause and continually improving and advocating for organizational best practices and standards. Researches and integrates third party products with existing infrastructure. Anticipates future state of the ml ops platform and continuously updates architecture. Evaluates technology over mid to long term time horizon and considers business and technical trade-offs. Works with product to gather business processes and project requirements. Researches, designs, and develops computer software systems, in conjunction with hardware product development applying principles and techniques of computer science, engineering, and mathematical analysis. As a subject matter master, analyzes software requirements to determine feasibility of design within time and cost constraints. Consults with hardware engineers and other engineering staff to evaluate and recommend interface between hardware and software, and operational and performance requirements of overall system. Formulates and designs complex software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. Develops and directs software system testing procedures, programming, and documentation. Ensures work area is clean, secure, and well maintained. Performs miscellaneous projects as assigned. Updates technical skills as required. Performs other related duties as assigned. Ideal candidate Experience with operating high-availability, fault-tolerant, scalable, distributed software/infrastructure in production utilizing Dev Ops best practices. Excellent understanding of issue troubleshooting and performance tuning Commitment to quality through the ability to translate complex technical requirements into functional software using best practices to write high quality code. Ability to work in a self-managed team-based Agile projects providing technical guidance and leadership to other team members. Excellent Experience with software engineering standard methodologies (unit testing, code reviews, design document, continuous delivery). Develop and deploy production-grade services, SDK s, and data infrastructure emphasizing performance, scalability, and self-service. Excellent experience with existing MLOps frameworks (Databricks, Seldon, Sagemaker, DVC, etc.). Strong background with either Scala (Java), Go, or Python programming experience. Solid Experience operating big data infrastructure in a cloud-based ecosystem (AWS preferred). Solid understanding of traffic management and networking concepts. Experience with stream-processing systems (ksqlDB, Spark Streaming, Apache Beam/Flink, etc.). About Western Governors University Western Governors University (WGU) is a pioneering online institution dedicated to making higher education accessible, affordable, and career-focused. Founded in 1997 by 19 U.S. governors, WGU offers competency-based programs that allow students to learn at their own pace, ensuring they gain the skills needed to advance in their careers. With over 300,000 graduates, our university is a leader in online education, offering accredited degree programs in business, IT, teaching, and healthcare. Our innovative learning model emphasizes real-world skills, personalized mentorship, and flexibility, making education achievable for working professionals. At WGU, success is defined by potential, not just grades bridging the skills gap and creating new opportunities in high-demand fields.

Client Site Services Engineer at Thrive Remote Job | AllRemote Client Site Services Engineer Delhi, Bengaluru, Mumbai, Gurugram, Chennai Role Support Engineer Why you should join Thrive Venture capital-backed hyper growth company Opportunity to network with diverse, global teams Training and mentorship to learn from best-in-class talent Stable company with a strong employer brand About the role Identifies, diagnoses, and resolves first level problems for end-users of the workstations, laptops, terminal services and Citrix sessions, end-user software and hardware, network and VPN connectivity, the Internet, server services, server drive space, validation of server error messages for escalation, and new computer technology in a call center environment; communicates solutions to end-users effectively. Provides one-on-one end-user problem resolution for client (PC) software and connectivity. Ensure that all client issues and resolutions are properly documented in the defined ticketing system of either Thrive or the client as required. Sets up and assists in the configuration of end-user PC desktop hardware, software and peripherals, both onsite and remotely. Diagnoses and resolves end-user network or local printer problems, PC hardware problems and basic server, e-mail, Internet, VPN, and local-area network access problems. Coordinates timely repair of PC computer equipment covered by third-party vendor maintenance agreements. Performs minor desktop hardware repair for PC computer equipment and peripherals that are not covered by third party vendor maintenance agreements as needed. Acts as remote hands for engineering staff onsite as needed. Assists Network Technicians in creating materials for end-user frequently asked questions (FAQs) and procedural knowledgebase articles. Provides assistance to Tier 2-3 staff with problem research and documentation. Ideal candidate 3+ years providing end-user support for current PC desktop and application software. 3+ years installing, upgrading, troubleshooting, and repairing personal computers in a corporate networked environment. 3+ years providing end-user support for current suite of Microsoft applications and management software. 2+ years in providing support for end user. 2+ years providing support for an enterprise level userbase in either the legal or financial services industries. CompTIA A+ Certification or equivalent experience CompTIA Net+ Certification or equivalent experience About Thrive Thrive began in 2000 as a small IT services firm in Concord, Massachusetts, pioneering proactive managed services for the SMB market. Early investments from M/C Partners in 2016 and Court Square Capital Partners in 2021 fueled innovation and resilience. In 2025, strategic backing from Berkshire Partners and Court Square Capital Partners further strengthened Thrive s position as a leading NextGen MSP/MSSP, delivering global cybersecurity, Cloud, and digital transformation services. More than just a company, Thrive is a testament to the power of technology and human collaboration. Our strength lies in our passionate and talented team, fostering a culture of learning, teamwork, and continuous growth. As we evolve and push the boundaries of innovation, our unwavering commitment remains helping our clients win. Our journey is far from over; we re just getting started.

Senior Machine Learning Engineer at Western Governors University Remote Job | AllRemote Senior Machine Learning Engineer Bengaluru, Delhi, Mumbai, Chennai Role Operations Developer Why you should join Western Governors University Rapid career advancement with opportunities to learn Opportunity in a company with a solid track record of performance Stable company with a strong employer brand Mission-driven company with powerhouse founders Training and mentorship to learn from best in class talent About the role Works closely with the MLE manager to define NLP initiatives, roadmaps and strategies. Collaborate with the product team and project stakeholders to convert business requirements into requisite NLP capabilities. Develops, deploys, and optimizes state-of-the-art LLM models for diverse NLP applications. Utilizes NLP/LLM techniques to discover valuable insights from unstructured data sources such as call transcripts, emails, mentor notes, etc. Utilizes generative AI to build the next generation learning experience for our WGU students. Executes the entire ML development lifecycle including model research, data processing, model training and fine-tuning, model experimenting and evaluation, model improvement, as well as model deployment. Collaborates with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference. Collaborates with the MLOps team to deploy ML models to production environment, ensuring scalability, reliability, and performance. Collaborates with the Software, Infrastructure, and Security teams to integrate ML soluctions seamlessly into WGU eco-system. Stays up to date with the state-of-the-art technologies of LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU. Works with other team members to create standards and guidelines for ML. Follows Agile, ML best practices and company s processes. Communicates status and updates with leadership, team members and other teams. Mentors and provides guidance to junior team members. Investigates trends and needs for ML models. Performs other related duties as assigned. Ideal candidate Experience operating high-availability, fault-tolerant, scalable, distributed software/infrastructure in production utilizing GitOps practices (Terraform preferred). Experience with existing MLOps frameworks (Databricks, Seldon, Sagemaker, DVC, etc.). Strong background with either Scala (Java), Go, or Python programming experience. Substantial experience operating big data infrastructure in a cloud-based ecosystem (AWS preferred). Solid understanding of traffic management and networking concepts. Experience with stream-processing systems (ksqlDB, Spark Streaming, Apache Beam/Flink, etc.). Experience with software engineering standard methodologies (unit testing, code reviews, design document, continuous delivery). Develop and deploy production-grade services, SDK s, and data infrastructure emphasizing performance, scalability, and self-service. Ability to conceptualize and articulate ideas clearly and concisely. Entrepreneurial or intrapreneurial experience leading the creation of a new product organization. About Western Governors University Western Governors University (WGU) is a pioneering online institution dedicated to making higher education accessible, affordable, and career-focused. Founded in 1997 by 19 U.S. governors, WGU offers competency-based programs that allow students to learn at their own pace, ensuring they gain the skills needed to advance in their careers. With over 300,000 graduates, our university is a leader in online education, offering accredited degree programs in business, IT, teaching, and healthcare. Our innovative learning model emphasizes real-world skills, personalized mentorship, and flexibility, making education achievable for working professionals. At WGU, success is defined by potential, not just grades bridging the skills gap and creating new opportunities in high-demand fields.

Design, build, and optimize scalable ETL pipelines using Apache Airflow or similar frameworks to process and transform large datasets efficiently. Utilize Spark (PySpark), Kafka, Flink, or similar tools to enable distributed data processing and real-time streaming solutions. Deploy, manage, and optimize data infrastructure on cloud platforms such as AWS, GCP, or Azure, ensuring security, scalability, and cost-effectiveness. Design and implement robust data models, ensuring data consistency, integrity, and performance across warehouses and lakes. Enhance query performance through indexing, partitioning, and tuning techniques for large-scale datasets. Manage cloud-based storage solutions (Amazon S3, Google Cloud Storage, Azure Blob Storage) and ensure data governance, security, and compliance. Work closely with data scientists, analysts, and software engineers to support data-driven decision-making, while maintaining thorough documentation of data processes. Ideal candidate Strong proficiency in Python and SQL, with additional experience in languages such as Java or Scala. Hands-on experience with frameworks like Spark (PySpark), Kafka, Apache Hudi, Iceberg, Apache Flink, or similar tools for distributed data processing and real-time streaming. Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure for building and managing data infrastructure. Strong understanding of data warehousing concepts and data modeling principles. Experience with ETL tools such as Apache Airflow or comparable data transformation frameworks. Proficiency in working with data lakes and cloud based storage solutions like Amazon S3, Google Cloud Storage, or Azure Blob Storage. Expertise in Git for version control and collaborative coding. Expertise in performance tuning for large-scale data processing, including partitioning, indexing, and query optimization.