Senior Machine Learning Engineer at Tekion | Bengaluru, India

At Degreed, we are at the forefront of transforming learning and development through an innovative upskilling platform. Our mission is to empower individuals and organizations by providing a comprehensive suite of resources for lifelong learning, including Learning Management Systems (LMS), courses, articles, videos, and projects. We connect learners with opportunities that align with their skills and career aspirations.For organizations, Degreed cultivates a learning culture that attracts, nurtures, and retains top talent, driving success for both individuals and companies alike.Join us in shaping the future of learning and workforce development! As a Senior Data Engineer at Degreed, you will play a critical role in revolutionizing our data architecture. As our data volume and platform complexity expand, we are committed to developing scalable, high-performance data systems that support our long-term innovation and business growth. This position is designed to take our data platform beyond maintenance, leading us into the next phase of evolution. You will be responsible for designing and optimizing our core data layer, ensuring that internal teams and clients have seamless access to reliable, high-quality data at scale.

Degreed builds an enterprise learning platform that brings together courses, videos, articles, projects, and skill insights. The system tailors content to individual roles and career goals, helping organizations develop and retain talent. Recognized by Fast Company as one of the Most Innovative Companies of 2026, Degreed uses AI to connect learning with measurable outcomes. The mission: open up opportunities and celebrate expertise worldwide. Role Overview The Staff UI Engineer will shape the core user interface for a platform used by millions of learners. This role sets the technical direction for a web application that must be accessible, scalable, and ready for advances in AI. The position is based in Bengaluru, Karnataka, India, with a hybrid work arrangement. What You Will Do Define the technical vision for Degreed’s web application UI Ensure the interface is accessible and scalable Work closely with teams across the company to set and maintain shared standards Help raise engineering quality and mentor others Who We’re Looking For Strong commitment to craftsmanship and ownership Motivated to make a broad impact through technical leadership Experience collaborating across teams and elevating engineering practices

Cognite stands at the cutting edge of industrial digitalization, developing AI and data solutions that tackle some of the globe's most challenging and impactful issues. With a rich industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite propels digital transformation to enhance operational efficiencies.Our ambitious goal is to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

Join weekday-1 as a Data Engineer and play a pivotal role in transforming data into actionable insights. You will be responsible for designing and implementing robust data pipelines, optimizing data flows, and ensuring the integrity and security of our data systems. If you're passionate about leveraging data to drive business decisions, this opportunity is for you.

Role OverviewJoin Ensono as a Senior Systems Engineer, where you will leverage your expertise in virtual servers, operating systems, and data protection to support our business-critical functions. Your role will involve designing and configuring high availability compute solutions, ensuring alignment with Ensono's overall strategy.Key ResponsibilitiesDevelop a comprehensive understanding of virtual servers and various storage solutions including block, file, and object storage.Install and configure high availability compute solutions that support critical business functions.Collaborate with team members to design computer system configurations and document procedures for applying OS patches and updates.Participate in design meetings focused on client disaster recovery planning.Implement storage configurations and data protection measures.Research system vulnerabilities, providing documentation and corrective actions as necessary.Establish guidelines for effective systems management, including improvements in processes and efficiency.Monitor system performance to identify and resolve potential issues and bottlenecks.Prepare detailed reports on capacity and utilization metrics.Design and implement advanced network configurations within virtual server environments.

Join KnowBe4, the global frontrunner in Human Risk Management, serving over 70,000 organizations worldwide for more than 15 years. We are at the forefront of security innovation, having integrated AI capabilities since 2016. Our HRM+ platform merges continuous risk intelligence, cutting-edge technical defenses, and tailored training to empower organizations in cultivating robust security cultures. We assist companies in identifying, measuring, and mitigating human risks across their workforce, safeguarding against deepfakes and evolving AI-driven threats.At KnowBe4, we are committed to protecting organizations from cyber threats while fostering a positive environmental impact. We believe that true resilience is a collective endeavor, requiring the safeguarding of our people, our data, and our planet.

Join our dynamic team at Syndigo as a Senior Software Engineer, where you will have the opportunity to work on cutting-edge technology and develop innovative software solutions. You will play a critical role in the design, development, and implementation of software applications that enhance our product offerings.

Join Syndigo as a Senior Software Engineer, where you will play a pivotal role in developing innovative software solutions that drive our business forward. Collaborate with cross-functional teams to design, implement, and maintain high-quality software applications. Your expertise will help optimize our existing systems and ensure scalability and performance.

Join Zeta Global as a Senior Data Engineer, where you'll play a pivotal role in designing, constructing, and managing the data pipelines that drive our cutting-edge AdTech platform. This is an individual contributor position focused on large-scale batch and streaming data processing, delivering reliable data products, and creating analytics-ready datasets that facilitate predictions, agentic workflows, business intelligence reporting, and performance measurement. Collaborate effectively with backend, machine learning, and product teams to ensure the delivery of high-quality, well-structured data with excellent performance and observability. Your Responsibilities: Data Pipeline Development: Construct robust batch and streaming data pipelines using technologies like Kafka and Kinesis to process and enrich extensive event data, including impressions, clicks, conversions, costs, and identity signals. Data Aggregation & Marts: Design and maintain curated aggregates and dimensional models for various stakeholders, including prediction models, agents, BI dashboards, and measurement workflows. Data Modeling & Contracts: Establish schemas, data contracts, and versioning strategies to maintain stability in downstream systems as data sources evolve. Data Quality & Reliability: Implement validation, anomaly detection, backfills, and reconciliation processes to ensure data completeness, correctness, and timeliness according to SLAs and SLOs. Performance & Cost Optimization: Optimize compute and storage resources for scalability, focusing on partitioning, file sizing, incremental processing, and indexing while balancing latency, throughput, and cost. Orchestration & Automation: Develop repeatable workflows with scheduling/orchestration tools (e.g., Airflow, Dagster, Step Functions) and CI/CD practices for data pipelines. Data System Observability: Instrument data pipelines with metrics, logs, lineage, and alerts to enhance the detection and root-cause analysis of data issues. Security & Governance: Implement least-privilege access, comply with PII handling standards, and establish governance controls that align with enterprise policies.

About the Role Valtech is looking for a Data Engineer in Bengaluru. This position focuses on building and maintaining the core data infrastructure that supports business decisions across the company. What You Will Do Design and develop data pipelines and architecture Maintain and improve data systems for reliability and accuracy Support teams by ensuring data is available and trustworthy for analysis Location This role is based in Bengaluru.

Role overview The Senior Data Analyst at Hevo Data plays a key role in transforming complex data into practical insights that support decision-making throughout the company. Based in Bengaluru, this position works closely with teams across the organization to ensure data-driven strategies align with business goals. What you will do Collaborate with multiple departments to gather and clarify data requirements Analyze large, diverse data sets to identify trends and new opportunities Communicate findings and actionable recommendations to influence business strategy Location This position is located in Bengaluru, India.

Role Overview tilthq is seeking an Engineering Manager to guide a team of engineers in Bengaluru, India. This hybrid position blends on-site collaboration with remote flexibility. What You Will Do Lead and support an engineering team through all stages of project development, from initial planning to final deployment. Oversee day-to-day progress, maintaining a focus on quality and timely delivery. Encourage open communication and teamwork among engineers. Location This role is based in Bengaluru, India, with a hybrid work arrangement.

About the Role Capco is seeking a Data Engineer with expertise in Scala to join the team in Bengaluru, India. This position focuses on building and maintaining data solutions for clients in the financial services sector. What You Will Do Design and implement data pipelines using Scala. Develop solutions that support business decision-making and add measurable value. Collaborate with colleagues and stakeholders to deliver reliable data systems. About Capco Capco is a global management and technology consultancy dedicated to serving the financial services industry.

Join Tide as a Senior Data Scientist and make an impact in the financial technology sector. In this role, you will leverage your expertise in data analytics and machine learning to drive insights and innovations that shape our product offerings.You will work collaboratively with cross-functional teams to solve complex business problems, develop predictive models, and enhance our data infrastructure. If you are passionate about data and want to be part of a dynamic team that values creativity and innovation, we want to hear from you!

Join Our Innovative India Tech Hub – Be Among the First Hires!Kobie Marketing, a leader in the loyalty industry for over 35 years and recognized as a top workplace by Forrester, is expanding its global reach with the establishment of a new Tech Hub in India. We collaborate with renowned global brands to create meaningful connections with their customers through personalized, data-driven loyalty experiences. Our mission is to enhance enterprise value through loyalty. As part of this Tech Hub, you have the unique opportunity to help shape our presence in India, contributing to the innovative customer experiences we deliver for some of the world’s most recognized brands alongside a talented team.About the Team and Our GoalsOur team specializes in extracting actionable insights from client loyalty data to drive enterprise value. We develop real-time dashboards that serve both internal and external stakeholders, ensuring data-driven decision-making.As a Senior Data Engineer at Kobie, you will be instrumental in our data engineering team, closely collaborating with the Manager of Data Engineering and the wider data organization. You will take charge of designing and evolving data pipelines and architectures that power Kobie’s products. Your extensive expertise in data modeling, architectural design, and scalable system development will help establish best practices across various Snowflake environments. You will mentor Data Engineers through the implementation process while ensuring our data platform remains secure, high-performing, and poised for future growth.

Join Okta, The World’s Identity Company!At Okta, we empower individuals to securely access any technology, anywhere, on any device or application. Our innovative Okta Platform and Auth0 Platform are designed to provide seamless access and authentication, placing identity at the heart of security and business expansion.We value diverse perspectives and experiences and are not seeking someone who fits a mold. We’re on the lookout for lifelong learners who can enrich our team with their unique insights.Become a part of our mission to create a world where identity is owned by the individual!About OktaOkta is the premier independent identity provider for enterprises, dedicated to facilitating secure technology usage across organizations of all sizes—from vast corporations to cutting-edge startups. As we embark on a new phase of growth, our advancements in AI and data will play a pivotal role in driving our success, enabling the creation of secure and scalable products for our customers and employees alike.The OpportunityWe are in search of a Principal Data Platform Engineer to serve as the visionary leader for our internal data platform, specifically tailored to support our AI initiatives with data that is ready for AI applications. Reporting to the Sr Manager of Enterprise Data Platform, you will be responsible for transforming our data product vision into a secure, scalable, and sophisticated technical framework. Your role will encompass owning the technical strategy, implementation, and scalability, ensuring our AI and data product roadmap is realized effectively.This position requires a technical leader capable of balancing immediate execution needs with building a sustainable infrastructure for the future. You will establish technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and equipped to support the next generation of AI-driven products and decision-making at Okta.What You’ll DoLead the technical strategy and execution for the company's AI data platform, converting product requirements into a clear technical vision utilizing Snowflake, AWS, and dbt.Develop and implement a comprehensive security and governance framework as a foundational element of the platform, ensuring adherence to high compliance and security standards.Create automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data integrity and security for AI usage.Implement additional solutions to enhance...

Join our innovative team at Sixt as a Data Engineer II, where you will play a vital role in designing and implementing robust data pipelines and architectures. Your expertise will help us transform raw data into actionable insights, enhancing our business decisions and customer experience. If you are passionate about working with large datasets and have a keen interest in data analytics, we want to hear from you!

Cognite stands at the cutting edge of industrial digitalization, developing innovative AI and data solutions that address some of the most challenging and impactful problems globally. With our exceptional industrial background and a robust range of AI capabilities, including low-code AI agents, Cognite is propelling digital transformation to facilitate significant operational enhancements.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.

Join the Okta Family!At Okta, we are revolutionizing identity management by empowering individuals and organizations to securely access any technology, anywhere, on any device. Our innovative platforms, including the Okta and Auth0 Platforms, are designed to enhance security, streamline authentication, and facilitate automation, placing identity at the forefront of business growth and security.We value diverse perspectives and backgrounds, seeking lifelong learners who can contribute their unique experiences to our mission.Be part of a team that is building a future where identity is truly yours.About OktaOkta is committed to making the world a more secure and interconnected place by enabling organizations to embrace any technology. As the leading independent identity provider for enterprises, we collaborate with a diverse range of clients—from major corporations to innovative startups—to ensure secure connections between people and technology. Our robust AI and data capabilities are pivotal to our growth and success, powering secure and scalable products for both our customer base and employees.The OpportunityWe are on the lookout for a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will play a crucial role in developing the data infrastructure that enables our internal AI initiatives through AI-ready data. Your responsibilities will include transforming our data product vision into a secure, scalable, and sophisticated technical framework.The ideal candidate possesses a strong passion for creating high-quality data solutions. You will contribute to establishing engineering excellence within the team and ensuring our core data platform is reliable and ready to support AI-driven decision-making at Okta.What You’ll DoDesign and maintain efficient data pipelines and models on our AI data platform, leveraging tools such as Snowflake, AWS, and dbt.Implement security and governance components to uphold compliance and security standards.Develop automated solutions for data classification and access control, and support vulnerability management processes.Utilize infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to construct, test, and deploy data infrastructure with security and reliability.Promote and adhere to best practices in code quality, system design, and operational readiness.