Staff Engineer, Machine Learning

Join Nagarro as a Staff Engineer specializing in Machine Learning. In this role, you will leverage cutting-edge technologies to build innovative machine learning solutions that enhance our product offerings and drive business success.

Join Nagarro as a Staff Engineer specializing in Machine Learning, where you'll play a crucial role in developing innovative solutions that leverage advanced machine learning techniques. Your expertise will contribute to designing, implementing, and optimizing cutting-edge algorithms that enhance our product offerings and drive business value.

Founded in 1998, Inovalon is dedicated to transforming the healthcare ecosystem through the power of technology and data, enhancing both outcomes and economics. We believe that our customers’ successes directly contribute to improved healthcare, which is why we focus on providing data-driven solutions that promote their missions.United as ONE Inovalon, we are committed to addressing the most pressing needs in healthcare through a culture of inclusion and innovation. Our efforts create value not only for our clients but also for the millions of patients and members they serve.About Us:As a pioneering healthcare technology company, Inovalon is on a mission to revolutionize the industry with innovative AI and machine learning solutions. We aim to leverage advanced technology to enhance health outcomes and streamline healthcare operations. We are currently looking for a highly skilled Senior Machine Learning Software Development Engineer in Test (SDET) to ensure the quality, reliability, and safety of our ML-powered healthcare products.Job Description:In the role of Senior Machine Learning SDET, you will design, implement, and maintain robust testing frameworks and quality strategies for machine learning systems throughout their lifecycle. You will collaborate closely with data scientists, ML engineers, software engineers, and product managers to validate models, data pipelines, and ML-driven services in production environments. Your contributions will play a crucial role in ensuring our ML solutions are accurate, efficient, secure, and compliant with healthcare standards, ultimately enhancing patient care and operational efficiency.

Founded in 1998, Inovalon stands at the forefront of transforming the healthcare ecosystem through the power of technology and data. We are committed to enabling our clients' success by providing innovative, data-driven solutions that enhance healthcare outcomes and economics. At Inovalon, we believe that our growth is intrinsically linked to the success of our customers, which is why we focus on empowering them with comprehensive insights and actionable solutions.As a unified team at Inovalon, we are dedicated to addressing the most pressing challenges in healthcare. Our mission-driven culture fosters inclusion and innovation, creating value for not only our clients but also the millions of patients and members they serve.About Us:Inovalon is a premier healthcare technology firm that is revolutionizing the healthcare landscape with state-of-the-art AI and machine learning solutions. Our mission is to harness cutting-edge technology to improve health outcomes and streamline healthcare processes.Role OverviewAs a Machine Learning Operations (MLOps) Engineer, you will be instrumental in designing, building, and managing the infrastructure and tools that enable comprehensive ML workflows on AWS platforms, including SageMaker, Bedrock, and Snowflake Cortex. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure that models are robust, secure, and scalable in production environments.Key ResponsibilitiesDesign, implement, and maintain CI/CD pipelines for ML models and data workflows utilizing AWS-native services and infrastructure-as-code.Operationalize models developed on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and continuous monitoring.Create and oversee data pipelines and feature stores using AWS Glue, Lambda, Step Functions, and Snowflake.Establish observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and define service-level objectives (SLOs) and service-level agreements (SLAs) for production ML services.Automate environment provisioning, configuration, and dependency management across development, testing, and production environments.Collaborate with security and compliance teams to ensure ML workloads adhere to healthcare, privacy, and regulatory standards, including HIPAA.Work alongside ML engineers and data scientists to transition notebooks and prototypes into robust, maintainable services.Contribute to best practices, standards, and documentation for ML platforms and operations throughout the organization.

OverviewWe are seeking a talented Senior Machine Learning Engineer to develop and implement scalable machine learning models aimed at solving predictive challenges for our clients in the commerce and consumer packaged goods (CPG) sectors.Company DetailsAt GobbleCube, we are a cutting-edge data science and AI firm dedicated to tackling intricate business challenges for commerce and CPG brands through state-of-the-art analytics and machine learning solutions. Discover more at our website: https://gobblecube.ai/

Founded in 1998, Inovalon is driven by the conviction that technology, particularly data, can revolutionize the healthcare ecosystem, enhancing both outcomes and economics. We are dedicated to empowering our clients with data-driven solutions that contribute to their success and, in turn, improve healthcare for everyone.As a cohesive unit, we tackle the most pressing challenges in healthcare through our culture of inclusivity and innovation, delivering value not only to our clients but also to the millions of patients they serve.Position Overview: As a Machine Learning Engineer specializing in Quality Assurance, you will spearhead the architecture, design, implementation, and deployment of complex, large-scale financial applications. You will manage the entire solution lifecycle, ensuring robust full-stack software development while addressing unique and intricate challenges at an accelerated pace using cutting-edge technologies to develop highly scalable solutions.

We are seeking a highly skilled Lead Machine Learning Engineer to spearhead the development of innovative models and production systems. In this pivotal role, you will lead a talented team dedicated to creating scalable machine learning solutions tailored for commerce and Consumer Packaged Goods (CPG) applications.

Join our innovative team at Intellectsoft as a Senior Python Developer / Machine Learning Engineer. We are looking for a skilled professional with a passion for developing cutting-edge machine learning solutions. In this role, you will be responsible for designing, implementing, and optimizing algorithms, ensuring high-performance and scalability.

At Anaplan, we are a dynamic team of innovators dedicated to enhancing business decision-making through our advanced AI-integrated scenario planning and analytical platform. This empowers our customers to achieve a competitive edge in the market.Our commitment to our customers' success is what unites Anaplanners across various teams and locations, all driven by our Winning Culture.The Fortune 50 count among our customers, including renowned brands like Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, all of whom rely on our top-tier platform.Our Winning Culture fuels our innovative teams. We value diverse thoughts and ideas, lead proactively regardless of titles, strive for ambitious goals, and take joy in celebrating our achievements—both big and small.Guided by principles that emphasize strategic direction, values-driven execution, and disciplined performance, you will find inspiration, connection, growth, and recognition here. Your uniqueness is welcomed; join us in crafting what’s next—together!About the RoleAt Anaplan, we have transformed the way companies perceive, plan, and manage their operations. Our platform enables customers to reveal new insights, align their strategies with their plans, and collaborate in innovative ways. Anaplan is the sole scenario planning and analysis platform designed to enhance decision-making in today’s intricate business landscape, enabling organizations to outpace competitors and market changes. By fostering collaboration across organizational boundaries, our platform intelligently highlights crucial insights, allowing businesses to make timely and informed decisions. We are looking for a skilled Principal QA Engineer to lead our team and ensure the quality and reliability of our state-of-the-art AI and machine learning solutions.

Location Details: Gurugram (Hybrid) At GoDaddy, we embrace a diverse work culture where the future of work varies by team. Some teams are office-based full-time, while others adopt a hybrid model, allowing flexibility to work remotely some days and at the office on others. Others may work entirely remotely. Join us in shaping the future! Hybrid: This role allows for a hybrid work setup. Candidates should be within commuting distance to the office. The frequency of in-office work is determined by team leadership, and the hiring manager can provide insights on what this looks like for your team. Join our Team… If you are enthusiastic about machine learning and are eager to impact millions of small businesses, consider joining our Data and Artificial Intelligence (DnAI) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to develop state-of-the-art machine learning models and Generative AI solutions that enhance customer satisfaction. Collaborate with a team of highly skilled engineers to devise comprehensive solutions for complex business challenges, including customer experience and personalization, while addressing technical issues in model evaluation and simulation. What you'll get to do... Design and implement advanced machine learning algorithms. Collaborate with cross-functional teams to integrate AI solutions. Analyze large datasets to extract actionable insights. Optimize existing models and algorithms for better performance. Contribute to the overall strategy of AI development within the organization.

Join our team at Intellectsoft and be a part of revolutionizing the way businesses leverage data! We offer an innovative AI-driven platform that empowers organizations to make strategic decisions and enhance operational efficiency with the help of advanced analytics and machine learning capabilities. Our platform is extensively utilized across various sectors, including healthcare, to streamline processes, elevate customer experiences, and foster innovation. Its seamless integration with existing systems enables teams to make agile, data-informed choices, delivering state-of-the-art solutions.

Payoneer seeks an Artificial Intelligence and Machine Learning Developer based in Gurugram, India. This position centers on designing and implementing AI and ML solutions that advance key projects and enhance the company’s services. Key responsibilities Create and refine AI and machine learning models tailored to business requirements Collaborate with cross-functional teams to deliver practical, effective solutions Use machine learning algorithms and data analysis methods to solve real-world challenges Role focus This role emphasizes hands-on development and teamwork. Expect to work on projects that directly impact how Payoneer serves its customers and operates internally. Strong technical skills in AI and ML, along with the ability to work across departments, are important for success in this position.

Join Nagarro as a Staff Engineer specializing in Playwright. As a pivotal member of our engineering team, you will work on high-impact projects that shape the future of our software solutions. We are looking for innovative thinkers who are passionate about building scalable and efficient applications. Your expertise will drive the design and implementation of cutting-edge technologies.

Join our dynamic team at Nagarro as a Frontend Staff Engineer, where you will play a crucial role in shaping the future of our digital solutions. As a part of our Engineering department, you will leverage your technical expertise to develop and optimize user-facing features, ensuring seamless performance and a delightful user experience.

Join Anaplan, where our innovative team is dedicated to revolutionizing business decision-making through our cutting-edge AI-driven scenario planning and analysis platform. Our mission is to empower our customers to surpass their competitors and dominate the marketplace.At Anaplan, we foster a culture that prioritizes our customers' success and embodies our Winning Culture.Our clientele includes some of the most prestigious names in the Fortune 50, including Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer—over 2,400 global companies trust our exceptional platform.Our Winning Culture acts as the driving force behind our teams of innovators. We celebrate diverse ideas and perspectives, encourage leadership at every level, strive for ambitious goals, and take time to celebrate our achievements—large and small.Guided by principles that emphasize strategy, values, and disciplined execution, you will find inspiration, connection, development, and rewards at Anaplan. Embrace your uniqueness and join us in building the future together!About the RoleAnaplan is seeking a talented Principal Software Engineer to join our AI engineering team. This pivotal role involves hands-on development focused on constructing robust backend systems that power our machine learning features. As a software engineer specializing in machine learning, your responsibilities will include designing, developing, and deploying APIs, data pipelines, and backend services essential for integrating advanced machine learning capabilities into the Anaplan platform.

Join Nagarro as a Senior Staff Engineer in Delivery, where you will play a pivotal role in leading engineering teams and driving innovative delivery solutions. Your expertise will help shape the future of our projects and enhance client satisfaction through effective delivery strategies.

Nagarro is seeking a passionate and innovative Associate Staff Engineer to join our dynamic engineering team in Gurugram. As an Associate Staff Engineer, you will have the opportunity to work on cutting-edge technologies and contribute to impactful projects that shape the future of our clients.Your role will involve collaborating with a talented group of engineers, developing robust software solutions, and ensuring the highest quality standards in our deliverables. This is an excellent opportunity for individuals looking to grow their technical skills and advance their career in a supportive and creative environment.

Join our innovative engineering team at Nagarro as a Staff Engineer specializing in Java development. In this role, you'll have the opportunity to work on cutting-edge projects, leveraging your expertise in Java to create robust software solutions. Collaborate with a dynamic team of professionals and contribute to the development of high-quality applications that meet the evolving needs of our clients.

We are seeking a dynamic and experienced Senior Staff Engineer, Delivery to join our innovative engineering team at Nagarro. In this pivotal role, you will lead complex engineering projects, driving the delivery of cutting-edge solutions and fostering a culture of technical excellence. You will collaborate with cross-functional teams and stakeholders to ensure the successful implementation of projects while mentoring junior engineers and contributing to their professional growth.

Role Overview Nagarro is hiring a Staff Engineer focused on PHP and the Gutenberg framework for its Gurugram office. This position shapes the technical direction of key projects and plays a central role in building and refining software products. What You Will Do Design, implement, and optimize high-performance applications using PHP and Gutenberg. Work closely with teams from different disciplines to deliver effective software solutions. Contribute technical leadership and guide decisions that impact product quality and architecture. Support efforts to maintain and improve engineering standards across projects. Location This role is based in Gurugram.