Senior Machine Learning Engineer

Join Our Team as a Learning Management Specialist!At Ema’s Builder Academy, we empower enterprise builders to effectively deploy Ema’s AI Employees at scale. We are on the lookout for a dynamic Academy Operations Specialist who is passionate about enhancing the learner experience, ensuring operational excellence, and maintaining platform integrity. You will be responsible for the comprehensive management of Thinkific, guaranteeing that courses are live, learners are registered and certified, content is updated in line with product developments, and our Academy operates at a world-class standard. This role is far from just administrative; you will be the operational cornerstone of one of Ema’s key growth strategies: builder adoption and activation.Your Key ResponsibilitiesPlatform Management: Oversee the complete administration of Thinkific (Builder Academy LMS). Configure the portal, manage its structure, and oversee learner access. Regularly update the platform's aesthetics to align with Ema’s branding while ensuring its reliability and usability.Learner Engagement: Handle learner enrollments for all Builder courses. Assess submissions and monitor learner progress while ensuring high completion rates and timely certifications.Content Management: Collaborate with various teams including Product, GTM, and Content to curate and operationalize content updates. Manage timelines to keep Academy materials in sync with Ema’s evolving product capabilities and publish updated courses.Support and Experience Enhancement: Act as the primary contact for Academy-related inquiries—addressing access issues, navigation questions, and course-related concerns. Efficiently resolve learner issues and proactively work to reduce friction points, enhancing the overall learner experience.Performance Insights: Oversee reporting and dashboards related to Academy performance. Analyze key metrics such as enrollment, engagement, completion rates, and adoption, generating actionable insights to improve course effectiveness and learner activation. Provide regular updates to stakeholders.Your ProfileOperational Experience: You have 3-5 years of experience in Operations, LMS Administration, or Program Coordination within a SaaS or tech environment.Platform Proficiency: You are well-versed in LMS tools (preferably Thinkific), CRM systems, and possess skills in data handling and reporting.Detail-Oriented: You consistently execute tasks with precision and ensure nothing falls through the cracks.

Key Responsibilities:Strategically plan, oversee, and engage in the training initiatives for all employees within the organization.Ensure training programs are tailored to enhance skills, improve productivity, and elevate work quality.Develop a comprehensive orientation and training system aimed at evaluating employee performance.Design, implement, and administer effective training activities and programs that foster a motivated, adaptable, and multi-skilled workforce.Identify training needs among employees and develop appropriate programs to address those requirements.Facilitate the adoption of an efficient Training system across all departments.Organize and conduct training seminars in alignment with company policies and guidelines.Evaluate the effectiveness of training sessions conducted to ensure continuous improvement.Create a conducive and engaging learning environment.Report any matters affecting the interests of the organization to Management.Stay updated on the latest innovations and trends in the hospitality sector.Assess training needs and ensure that training aligns with company objectives and compliance requirements.Establish training plans that align with both short-term and long-term organizational goals.

Join our dynamic team as a Learning & Development Manager at Accor Hotels in Bengaluru. In this pivotal role, you will lead initiatives that foster employee growth and enhance training programs across our organization. Your expertise will help shape a culture of continuous learning, ensuring our team is equipped with the skills needed for success in the hospitality industry.

Collaboration Fuels Our Innovation. Join Roku in Transforming the Future of TelevisionAs the leading TV streaming platform across the U.S., Canada, and Mexico, Roku is on a mission to revolutionize how the world engages with television. Our innovative platform connects viewers with the content they cherish, empowers content creators to grow and profit from their audiences, and provides advertisers with unique tools to connect with consumers.From the moment you join Roku, your contributions will be recognized and valued. We are a dynamic, rapidly growing public company where every team member plays a crucial role. Enjoy the opportunity to impact millions of TV viewers globally while gaining invaluable experience across various fields. About the TeamRoku continues to innovate and lead the industry in television streaming. Our success depends on our commitment to enhancing our machine learning capabilities. With millions of content options available, our Content Platform is essential for integrating content into the Roku ecosystem, ensuring customer satisfaction. We are currently seeking a Senior Machine Learning / AI Engineer for the Content Platform to spearhead further advancements. About the RoleAs we continue to define the future of television, including advancements in TV advertising, our ongoing success hinges on our investment in machine learning. The Roku Content Platform plays a pivotal role in delivering diverse content experiences to our users. We are looking for a talented Senior Machine Learning / AI Engineer to develop a content knowledge platform that provides insights to downstream systems, enhancing user experiences through Search, Recommendations, Ads, and Voice functionalities.

This position is offered through one of Weekday's esteemed clients.Job Type: Full-timeAs the Engineering Manager, you will spearhead the comprehensive execution of machine learning-driven initiatives, guiding them from conception and experimentation to deployment and ongoing enhancement. Collaborating closely with cross-functional teams including product, design, data, and business stakeholders, you will ensure engineering solutions are in line with product objectives and consumer demands. Your leadership will be pivotal in mentoring engineers, establishing best practices, and cultivating a culture of innovation, accountability, and excellence. A strong mix of people management, technical expertise, and product insight is essential for this role.

Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.

WHAT YOU'LL DOLead engaging training sessions in both live and virtual settings.Design and implement tailored Learning and Development programs aligned with business needs.Oversee and manage training data in accordance with Learning and Development requirements during new hire orientations, cross-skilling, and floor support sessions.Utilize data analysis to identify improvement areas and provide refresher training and knowledge management support to the business.Collaborate with Subject Matter Experts (SMEs) to convert expert content into engaging classroom, online, and blended learning solutions.Plan and manage project timelines effectively.Contribute to the enhancement of training processes and participate in various projects as required.Act as a bridge between Learning and Development and business departments to ensure alignment in practices and manage the scheduling of training programs.Drive innovation and process improvements within the Learning and Development function.Participate in any client-mandated training initiatives.Fulfill trainer responsibilities in line with organizational policies, which include training employees, assigning tasks, evaluating new hires' performance, rewarding and disciplining employees, and addressing complaints.Monitor trainee progress throughout the training duration, providing coaching and developmental feedback, and conducting classroom training as per ramp planning.Employ effective presentation techniques, including innovative training methods and accelerated adult learning strategies. Adjust classroom agendas, timelines, and content flow as needed to ensure impactful training delivery.Guide and mentor trainee trainers in facilitation and presentation skills as directed by leadership.Engage in floor support activities such as On-the-Job Training (OJT), refresher training, and remedial training as necessary, ensuring program effectiveness from both training and business perspectives.Promote continuous improvement in program execution through documentation of existing processes and evaluation of potential scenarios.

Join InMobi Advertising, a pioneering global technology firm that empowers marketers to seize pivotal moments. Our advertising platform connects with over 2 billion users across 150+ countries, transforming real-time context into impactful business outcomes underpinned by privacy-first principles. Trusted by over 30,000 brands and top publishers, InMobi is where intelligence, creativity, and accountability meet. By integrating lock screens, applications, televisions, and the open web with AI and machine learning, we provide enhanced attention, precise personalization, and measurable results.Through Glance AI, we are redefining AI Commerce and revolutionizing e-commerce with inspiration-led discovery and shopping. Seamlessly integrated into everyday consumer technology, Glance AI converts screens into gateways for instant, personalized, and delightful shopping experiences. Covering diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI offers deeply personalized shopping journeys. Leveraging rich first-party data and unparalleled consumer insights, it harnesses InMobi’s global scale to create high-impact, performance-driven shopping experiences for brands worldwide.Recognized as a Great Place to Work and featured by MIT Technology Review and Fast Company’s Top 10 Innovators, InMobi fosters a culture where bold ideas create a global impact. Backed by investors like SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi operates offices around the globe including San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, and Bengaluru.At InMobi Advertising, you will have the chance to influence how billions of users engage with content, commerce, and brands globally. To learn more, visit www.inmobi.com.About the RoleWe are developing next-generation ML-driven decision systems that power a global Demand Side Platform (DSP). These systems operate at scale, optimizing real-time marketplace decisions across pricing, targeting, fraud prevention, and performance enhancement.We seek a Senior Product Manager who excels at the convergence of business strategy, machine learning, and real-time systems. This role is ideal for someone who thrives in dynamic environments and is passionate about leveraging technology to drive business outcomes.

Join Endava as a Senior Machine Learning Engineer and play a pivotal role in developing innovative machine learning solutions that drive our clients' success. In this position, you will leverage your expertise in algorithms, data modeling, and statistical analysis to create predictive models and enhance decision-making processes.You will collaborate with cross-functional teams to implement state-of-the-art machine learning techniques and contribute to the design and architecture of scalable data systems. If you are passionate about machine learning and eager to deliver impactful results, we want to hear from you!

Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.

Role Overview Sutherland Global Services is seeking a Lead Infrastructure Management Specialist in Bengaluru. This role focuses on managing and improving infrastructure systems to support business operations. The position calls for oversight of infrastructure projects, safeguarding system integrity, and applying proven practices to boost efficiency. What You Will Do Oversee infrastructure projects from planning through execution Monitor and maintain the reliability and integrity of systems Work with teams across departments to deliver solutions that meet business needs Identify opportunities to improve operational processes and implement those enhancements Uphold high standards for service quality and system performance

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to creating innovative financial solutions that provide real-time flexibility for individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their hard-earned wages as they earn them, enabling them to manage their finances with ease—without hidden fees, interest rates, or credit checks.We take pride in our robust leadership team and our partnerships with top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital. Our sound business model ensures a strong foundation for growth, making us an exciting place for talented individuals to contribute to our journey as we expand.POSITION SUMMARYAs a pivotal member of our team, the Head of Machine Learning in India will oversee the critical machine learning systems integrated into our fintech platform. These systems are essential for enhancing business decisions and enriching customer experiences across various domains—risk management, fraud detection, growth strategies, personalization, and operational efficiency. The successful candidate will ensure the reliability, performance, and scalability of these systems, translating cutting-edge research into high-performance production solutions. This position requires extensive experience in deploying machine learning at scale, a knack for thriving in dynamic environments, and a balance of theoretical knowledge with strong engineering instincts.As EarnIn continues to expand its footprint in India, you will lead a high-performing machine learning team with significant potential for growth. In your capacity as the senior ML leader on-site, you may also assume site leadership responsibilities, working closely with HR and Talent Acquisition to foster a positive culture and enhance team engagement. This role will operate on a hybrid basis from our Bengaluru office, with at least two days in the office per week. EarnIn offers competitive employee benefits, including healthcare coverage, reimbursement for internet and cell phone expenses, a learning and development stipend, and opportunities for collaboration and travel to our headquarters in Mountain View and our office in Bangkok. Our salary ranges are determined by role, level, and location.

Job OverviewWe are seeking a dynamic Lead Trainer in Learning and Development to spearhead our training initiatives at Altisource. This role entails facilitating engaging classroom and virtual training programs focused on skill development for entry-level associates. You will lead and manage intervention-based learning efforts, ensuring our team is equipped with the necessary skills to succeed. Roles & Responsibilities:Your primary responsibilities will include:Collaborating with department heads to develop and implement soft skills training programs across various business units, including assessment and evaluation methods.Partnering with business units to identify deliverables, expectations, and risks, while addressing specific training needs.Conducting thorough assessments of training and development needs through various identification resources.Employing diverse training methodologies, techniques, concepts, and tools to maximize training effectiveness.Defining the ROI for each training program delivered.Designing tailored training courses and materials to meet identified training needs.Monitoring and measuring the effectiveness of all training initiatives.Acting as a liaison between Learning & Development and business units to ensure consistency in training practices.Contributing to process improvements and innovation within the Learning & Development function.Exemplifying teamwork and adherence to the organization’s code of conduct at all times.

Join our dynamic team at Squircle IT Consulting Services Pvt Ltd as an Access Management Specialist. In this pivotal role, you will be responsible for implementing and managing access control systems to ensure the security and integrity of our client's information assets. Your expertise will help us maintain compliance with industry standards and best practices.As an integral part of our team, you will collaborate with various departments to assess access requirements and create tailored solutions that meet business needs while safeguarding sensitive data.

We are on the lookout for a talented and experienced Senior Machine Learning Engineer with a strong focus on multimodal generative AI models, cross-modal architectures, and advanced multimodal fusion techniques. The ideal candidate will possess a robust technical foundation spanning text, vision, audio, and video modalities, alongside a passion for mentoring and promoting the integration of innovative technologies.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.

Join Us at WisdomAIAt WisdomAI, we are dedicated to democratizing access to data and insights for everyone. We believe that data has the potential to transform decision-making, and with the advent of Generative AI, we aim to revolutionize how employees uncover insights within their organizations. As we grow, now is an exciting time to join our team. We proudly serve multiple Fortune 100 companies and as one of the early members, you will have the opportunity to significantly influence our product and engineering roadmap.Your RoleWe are in search of talented ML/NLP engineers to become part of our dynamic team. Our focus lies in tackling fundamental challenges in areas such as LLM-based code generation, document understanding, context synthesis, and LLM-based agents. Our team comprises professionals with backgrounds from industry leaders like Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop workflows and agentic pipelines for complex analytical tasks.Create and implement evaluation frameworks for our query processing engine.Collaborate closely with customers and founders to shape the product and engineering roadmap.Contribute to cultivating a robust engineering culture and enhancing our tech stack.

Join Bazaarvoice as a Senior Machine Learning Engineer and help shape the future of smart shopping experiences. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to design and implement innovative solutions that connect brands with consumers, enhancing their shopping journey. You will be part of a dynamic team focused on harnessing user-generated content to create impactful insights and drive business growth. Work in a collaborative environment where your contributions are valued, and take part in solving the challenge of establishing genuine connections between brands and consumers.

Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.Key Responsibilities:Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.