Senior Python Developer / Machine Learning Engineer

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.

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 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.

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 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.

About The Economist Group The Economist Group (TEG) brings together a global team committed to progress, innovation, and independent thinking. Our work spans 170 countries, delivering insights through four core businesses: The Economist, Economist Impact, Economist Intelligence, and Economist Education. Each area upholds a reputation for excellence and integrity, helping individuals and organizations navigate complex challenges with clarity. Technology at The Economist Group Our Technology team includes 200 professionals leading digital-first projects across the Group. We focus on building intuitive digital products that provide data-driven intelligence and analysis to a worldwide audience. The team develops offerings for the Economist Intelligence Unit (EIU), creates mobile applications for personalized content, and enhances our flagship website, economist.com. Collaboration with other departments is central to our approach. Together, we design solutions that support subscriber acquisition, improve conversion rates, and deliver engaging experiences for our 1.2 million subscribers. Advanced technologies and modern methodologies help us meet evolving audience needs and build long-term loyalty. Role Overview: Senior Natural Language Processing Engineer The Economist Group is looking for a Senior Natural Language Processing (NLP) Engineer to join the engineering team in Gurugram. This role centers on designing, developing, and maintaining the architecture of our Economist.com and EIU platforms, with a focus on systems that power customer-facing products. Early work will involve building data infrastructure to support predictive analytics, machine learning algorithms, and generative AI applications. The role includes close collaboration with the Head of AI and Data Engineering to help realize the organization's vision. There will also be partnership with the corporate data team to support reporting, analytics, and insights.

Join our team as an AI & Information Security Engineer!In this dynamic position, you will collaborate with engineering and IT teams to design, build, and secure cutting-edge AI systems and enterprise applications. This role is pivotal at the intersection of artificial intelligence and cybersecurity, ensuring that AI-driven solutions are robust, compliant, and secure.Your responsibilities will include integrating effective security practices throughout the AI lifecycle, from development to deployment, while protecting data, infrastructure, and applications from emerging threats.

Join Trexquant as an AI Engineer and contribute to the forefront of artificial intelligence within the finance sector. In this pivotal role, you will be integral in the development, optimization, and deployment of advanced AI workflows and tools that directly influence our investment strategies.Key Responsibilities:Architect and implement systems utilizing large language models (LLMs), vector databases, and various AI tools for quantitative research, covering literature reviews, data searches, and code generation.Deploy and monitor AI systems, ensuring scalability and continuous improvement of solutions.Collaborate with portfolio quantitative researchers to design AI tools tailored to meet specific market challenges and opportunities.Stay updated with the latest advancements in AI, contributing to internal thought leadership and innovation.Deploy AI models in production environments, ensuring seamless integration with existing infrastructures and real-time market data feeds.Identify and mitigate potential AI-related risks, focusing on model bias and robustness.

Role Overview ixigo is looking for a Senior Research Engineer focused on Applied AI and Machine Learning to join the team in Gurugram. This role centers on building advanced AI/ML solutions that improve user experiences and support new features across ixigo's platforms. What You Will Do Design and develop AI and machine learning models for real-world applications within ixigo's products. Work closely with engineers and data scientists to create and refine algorithms. Help shape technical direction by contributing research insights and practical solutions. Translate complex research into scalable, production-ready systems. Collaboration Expect to partner with a skilled team of engineers and data scientists, sharing ideas and working together to deliver measurable improvements for users.

Role Overview Ramboll is hiring a Global Learning Coordinator in Gurugram. This position supports the development and delivery of training programs for teams across multiple countries. The coordinator partners with stakeholders to help employees build the skills and knowledge needed for success in their roles.

Role Overview Weekday's Client is seeking a Lead Engineering Manager to guide the creation of an AI-powered traffic intelligence platform. This role is based in Gurugram, Haryana, India. What You Will Do Direct the end-to-end design and development of a scalable, real-time traffic intelligence system. Shape the technical vision for the platform, making key architectural decisions. Work closely with teams to blend data analytics, machine learning, and geospatial intelligence into a unified enterprise solution. Take a hands-on approach to building and refining the platform to support large-scale, reliable deployments. Who We’re Looking For Experience as a Chief Architect or similar senior engineering leadership role. Proven track record designing and delivering complex, enterprise-grade systems. Strong background in data analytics, machine learning, and geospatial technologies. Ability to set technical direction and ensure high performance and reliability. Compensation Salary range: Rs 5,000,000 – Rs 12,000,000 (INR 50–120 LPA)

Join our dynamic team as a Senior Deployment and Operations Engineer at Megaport, where you will play a critical role in enhancing our cloud connectivity services. Your expertise will drive the deployment of innovative solutions, ensuring seamless operations and superior customer experiences. Collaborate with cross-functional teams to optimize workflows, troubleshoot complex issues, and implement best practices in deployment strategies.

About Netomi:Netomi is at the forefront of the AI revolution, providing the premier agentic AI platform for enhancing enterprise customer experiences. Collaborating with globally recognized brands such as Delta Airlines, MetLife, MGM, and United, we facilitate scalable agentic automation throughout the customer journey. Our no-code platform ensures swift market entry, minimal ownership costs, and effortless management of AI agents for diverse customer experience needs. With backing from prominent investors like WndrCo, Y Combinator, and Index Ventures, we empower enterprises to enhance efficiency, reduce expenses, and provide superior customer service.Are you ready to join the AI revolution and reshape the operational landscape of the world's largest brands? Come be a part of our journey!Are you passionate about the missions of intelligence agencies? Do you have a keen interest in developing state-of-the-art NLP models and tackling complex technical challenges? We invite you to contribute to our mission of revolutionizing Automated Customer Service. If you’re eager to engage in some of the most stimulating technical and programmatic challenges, we’re excited to discuss the dynamic work and growth opportunities available at Netomi. As a Data Scientist at Netomi, you will spearhead NLP and machine learning initiatives, creating methodologies and solutions to fulfill technical, analytical, and operational demands.

Join MSX International as a TMSi Learning Management System Coordinator, where you will play a pivotal role in enhancing our learning and development initiatives. This full-time position will allow you to leverage your skills in managing and optimizing our Learning Management System (LMS) to support employee training programs.In this dynamic role, you will be responsible for coordinating LMS operations, including user management, content uploads, and system maintenance. You will also work closely with various teams to ensure the effective delivery of training modules and monitor compliance requirements. If you are passionate about learning technologies and development, we want to hear from you!