Machine Learning Intern Co Op Jobs

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are seeking a detail-oriented Credit Analyst to join our risk management team. The ideal candidate will be responsible for implementing credit risk policies, optimizing risk policies, and ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance our underwriting models and decisioning frameworks. Key Responsibilities: * Analyze credit risk across various products, including merchant and personal loans, postpaid. * Liaison with the business team to understand the credit risk policies and implement the same on platform. * Implement the credit risk policies on our proprietary platform. * Monitor performance of credit risk policies. Share feedback with product and Policy team what's working well and what needs improvement. * Utilize alternative data sources, machine learning models, and traditional credit assessment techniques to enhance risk evaluation. * Conduct testing and scenario analysis to measure policy resilience. * Monitor key risk indicators (KRIs) and provide actionable

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description: The Services Architect is a technical authority on both cloud and on-premises based IT systems and is responsible for ensuring the successful design and implementation of Okta’s industry leading cloud identity platform for our customers. You will focus on Okta’s Workforce Identity Cloud offering targeted at customer identity use cases. You will develop relationships with customers to help them achieve their business goals while promoting creative solutions. You will establish yourself as a trusted partner with your customers with a focus on their success. You will translate business needs and insights into an actionable strategy and assist customers in driving their initiatives to results and high business value. This is a key member of the Professional Services (PS) team, working as part of a PS Delivery Team on each customer implementation. Job Duties and Responsibilities: Review and lead the gathering of business, functional and technical requirements for establishing an Identity platform powered by Okta for our customers. Work with customers to document the common technical and functional requirements for specific solutions. Support creation of project plans to develop and implement the proposed solution. Participate as a member of the professional services delivery team to translate requirements to designs and to provide technical leadership and oversight. Assist in periodic customer health-checks and proje

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary As a Data Scientist at Micron, you will employ techniques drawn from mathematics, statistics, and information technology to uncover patterns in data, drive predictive models, and develop actionable solutions for advanced semiconductor manufacturing. Your primary focus will be to support Process Integration and Process Engineering teams to enhance product yield and improve process variation. You will interact closely with multi-functional process areas to solve manufacturing line problems and conduct root cause analysis. In this position, you will help develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources—such as inline, param, and probe data—translating them into insights that directly improve process capability and device yield. Key Responsibilities Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operati

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As FECOS cPIE Standardization & Metrics Engineer you will be responsible on: Drive for alignment and standardization across various fabs on Best-Know-Methods (BKMs) Develop Metrics to measure the standardization, sustainability, scalability and synchronization of the BKMs. Identify gaps in current programs and use SMART metrics to drive effectiveness and efficiency on program deliverables. Transform yield SEAL and SWATs to achieve FECOS missions, improving network resource/talent leverage. Implement organizational change management methods and tools to increase the speed of adoption and capture project or program return of investment. Ability to exercise judgment and adapt accordingly to encourage and persuade others to adopt the change required for a successful implementation of the program. Constantly drive productivity and eliminate inefficiency / ineffectiveness through automation and AI solutions. Collaborate with various multi-functional teams on yield reports, develop business process to optimize current system with clear roles and responsibility. Promotes cPIE teams alignment and collaboration with critical metrics /metrics definition standardization, data automation & visualization, metrics performance monitoring and metrics adoption tracking. Engage team members and drive accountability, performance driven culture through clear communication, formal and informal feedback, goals and critical metric Drive diversity, equality, and inclusive worki

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Key Responsibilities Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies. Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and

About eClinical Solutions eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: The Principal Software Architect will lead the design and evolution of AI-enabled software platforms, helping translate business and product needs into scalable, secure, and responsible technical solutions. This role partners closely with software engineers, product teams, data specialists, and business stakeholders to identify opportunities for AI, guide architecture decisions, review implementations, and mentor teams on modern engineering practices, AI-assisted development, and sound design principles. Your day to day: Research emerging AI, machine learning, generative AI, cloud, and software architecture technologies and evaluate their fit for the product platform Analyze existing features, data flows, and system designs for scalability, performance, security, and AI-readiness in order to design and recommend solutions Document current and future architectural patterns, including AI integration patterns, model lifecycle considerations, data governance, observability, and responsible AI guardrails Communicate complex AI, data, and architecture concepts clearly to technical and cross-functional colleagues Define reference architectures for AI-enabled capabi

EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices, such as thermostats, electric vehicles and home batteries. Coordinating and evaluating the performance of all of these devices to forecast and estimate the delivered grid value requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub’s Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics engineers to improve the models used for evaluation of our control algorithms. You will collaborate with the Data Science and Power Systems Intelligence team to understand the algorithms and optimizations used in order to improve our performance evaluation and forecasting abilities. You will also contribute to our data management software systems and will become core to the foundation of a future with carbon-free and distributed energy. What you will do: You will drive the development of M&V methodologies and data science models for more accurate and transparent evaluation of our advanced grid services from fleets of distributed energy resources. You will write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data You will work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders You will collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams. Other duties as assigned Who you are: You are passionate about enabling a carbon-fre

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Accelerate your career by joining Okta, the World's Identity Provider, as a member of our Treasury team. We free everyone to safely use any technology — anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. As Treasury Manager, you will be part of Okta's Treasury team, reporting to the Senior Director, Treasury. You will help grow and mature a scalable global treasury practice. The ideal candidate will have strong treasury operations, liquidity management, capital markets, and foreign exchange (FX) experience at an established global public company. You will work on strategic projects in a cloud-first environment where you can apply your experience providing strong financial support to help Okta deliver world-class products to our thousands of global customers. Responsibilities: Oversee daily global liquidity, manage global cash forecasting processes, and ensure cash management aligns with Okta’s financial goals, policies, and international subsidiary needs. Lead global bank account management including strategic account opening and closing, maintaining signatory lists, KYC compliance, and administration of banking portals. Support capital markets activities, debt/equity issuance, capital structure analysis, and execution of corporate finance stra

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Scientist II - Decision Science Using data, you will play a crucial role in driving decision-making and delivering impactful insights to our stakeholders. You will apply advanced analytical techniques, build Machine Learning (ML) models, and use experimentation and causal inference methods to solve sophisticated business problems related to platform engagement, product features, and games. What you’ll be doing: Apply advanced statistical and ML techniques to analyse large and complex datasets, extracting actionable insights in a commercial setting. Apply your knowledge of Experimentation, Causal Inference, ML, and statistical modelling to develop robust predictive models and identify causal relationships. Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test them. Independently extract and integrate data from multiple data systems, including writing complex SQL queries, to support analytical efforts. Support the delivery of results and presentations to stakeholders, translating complex analyses into clear and actionable recommendations. Stay up to date on the latest advancements in Data Science, including Causal Inference, Gen AI, and ML, and share knowledge and new ideas with the team. What

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You'll Do: DeepIntent is seeking an MLOps Engineer to join our European Data Infrastructure team. The MLOps Engineer will partner with our Data Science and AI teams to build and scale a high-performance machine learning and AI platform spanning our on-prem data centers and GPU resources - built on Python, Spark, Kubernetes, Docker, and modern orchestration frameworks (Argo Workflows, Airflow). Partner with Data Science and AI Engineering teams to adopt MLOps best practices and migrate training/inference workloads onto the platform Implement and maintain model tracking, versioning and experiment management (MLflow) with observability into model performance and drift Build CI/CD pipelines purpose-built for ML/AI artifacts (model registries, container image pipelines, automated retraining triggers) Continuously improve platform reliability, cost-efficiency and maintainability of the underlying codebase Establish monitoring and observability for ML/AI systems (Prometheus, Grafana) covering GPU utilization, model latency, throughput and custom ML metrics Design and operate ML/AI deployment infrastructure, including GPU cluster architecture, model serving and tool selection across training and inference workloads Build and maintain infrastructure for LLM and generative AI workloads, including model fine-tuning pipelines, vector databases, RAG architectures and inference optimization Collaborate with business units and Product on ML/AI-d

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

FEQ227R223 As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Leader, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. This is a Hybrid role, based in Bengaluru. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and ou

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Staff FullStack Engineer, AI Acceleration Team The AI Acceleration Team The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorize what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly. Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them. We bring a product mindset to the work: we dig into what customers actually need, define the outcome, and build toward it. We move fast, stay close to the real problem, and are honest about what works. The Staff FullStack Engineer Opportunity As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorization and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar. You will help shape which problems we take on, make architectural calls that outlive any single project, and set the technical bar for how we work. You will enforce least privilege for what agents can do and make phishing-resistant access the default. We build with Vercel and AWS, and you will likely work heavily in JavaScript/TypeScri

PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit , recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, in

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Product Manager, Product Platform Company Overview Okta is The World’s Identity Company. We free everyone to safely use any technology - anywhere, on any device, for any app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Senior Product Manager, Product Platform This is a rare 0-to-1 opportunity to build a brand-new, high-visibility capability that touches every Okta customer: self-service visibility into subscription and license usage, delivered directly in the Admin Console. You’ll be responsible for building a modern, self-service experience that increases customer trust, unlocks new upsell and expansion motions, and sets the standard for how Okta communicates value to its largest accounts. You'll partner closely with Engineering, Field, Pricing & Packaging, and Product leadership to shape a capability with direct, measurable impact on customer retention and revenue growth. Key Responsibilities Orchestrate the long-term product vision and strategy for Okta's subscription usage and licensing visibility, ensuring the Admin Console roadmap scales with the breadth of Okta's customer base and product portfolio. Architect a self-service usage dashboard and reporting framework to ensure customers can seamlessly and securely track their