Engineering Manager - Machine Learning Products

Join a dynamic team as a Member of Technical Staff specializing in Machine LearningSalary range: Rs 2500000 - Rs 4000000 (i.e., INR 25-40 LPA)Minimum Experience: 2 yearsLocation: BengaluruJob Type: Full-timeWe are seeking a passionate Member of Technical Staff – Machine Learning with 2–3 years of practical experience in Python development, API engineering, and expertise in Large Language Models (LLMs). In this role, you will be instrumental in creating and scaling ML-driven features, embedding AI capabilities into production systems, and aiding in the development of AI-first products.

About AiDASHAiDASH is a pioneering enterprise AI firm that specializes in providing vegetation risk intelligence for electric utilities. Utilizing our exclusive VegetationAI™ technology, we deliver a comprehensive remote grid inspection and monitoring platform that adopts a SatelliteFirst approach to identify and mitigate vegetation and other hazards impacting the grid. Our proactive strategy minimizes wildfire risks and reduces the effects of storms, enabling over 140 utilities to cut costs, enhance reliability, and lower liabilities across their infrastructure. AiDASH is dedicated to protecting critical utility systems and ensuring a sustainable future for humanity. Discover more at www.aidash.com.As a Series C growth company, we are supported by esteemed investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, and others. We are honored to be recognized by Forbes for two consecutive years as one of “America’s Best Startup Employers” and to feature in Time Magazine’s “America’s Top GreenTech Companies 2024.” Recently, Deloitte Technology Fast 500™ ranked us No. 12 among companies in the San Francisco Bay Area and No. 59 overall among their top 500 for 2024.Join us in Securing Tomorrow!The RoleWe are seeking a highly experienced Staff Machine Learning Engineer to define and expand the core of our production ML ecosystem. In this capacity, you will design high-performance ML systems that drive our geospatial intelligence platform, converting extensive satellite and aerial imagery into actionable insights. Your responsibilities will encompass complete ownership—from model deployment and MLOps to infrastructure design—while collaborating closely with data science, platform engineering, and product teams to deliver dependable, scalable, and cost-effective ML solutions. If you excel at the intersection of advanced technical knowledge, system architecture, and cross-functional teamwork, this opportunity is for you.How You'll Make an Impact:ML System Architecture & Production DeploymentDesign, build, and maintain end-to-end ML pipelines for batch processing...

Join our dynamic team at The Nielsen Company as a Senior Member of Technical Staff specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage your expertise to drive innovative solutions and enhance our AI/ML capabilities. We are looking for a visionary technologist who can contribute to cutting-edge projects and mentor junior staff.

Gracenote, a vital division of Nielsen, is at the forefront of the media and entertainment sector, providing innovative metadata solutions that enable companies worldwide to offer personalized content search and discovery. We connect audiences with the media they cherish, operating at the dynamic intersection of technology and entertainment.Utilizing our state-of-the-art technology, we facilitate the effortless discovery of TV shows, movies, music, and sports across various platforms. As the leading source for entertainment data and services, we empower top streaming services, cable and satellite providers, media companies, electronics manufacturers, music services, and automotive brands to thrive in the competitive streaming landscape. Our extensive metadata solutions are deployed across over 80 countries, encompassing more than 100,000 channels and catalogs, over 70 sports, and a staggering 100 million music tracks, all in 35 languages.Job Purpose:Design and architect our flagship metadata software solutions.Develop applications with a platform-first approach, prioritizing scale, consistency, and reliability in every decision.Key Responsibilities:Lead the implementation of best engineering practices within your teams.Collaborate with the Product team to convert ambiguous business requirements into actionable technical roadmaps.Engage in hands-on development for up to 60% of your time, creating modules and systems that exemplify best practices.Ensure seamless cross-system integration for consistent data flow across ingestion, processing, and delivery to clients.Collaborate closely with Data Science, DevOps, and Frontend architects to support evolving backend infrastructure needs.Oversee scaling, performance, and quality of the solutions.Experiment with emerging technologies, driving adoption based on measurable impact.Implement a long-term technology vision for your teams.Architect and design new solutions addressing both existing and emerging challenges.Ensure alignment of platform architecture with long-term requirements and vision.Lead discussions around technology and tool choices for your team and be accountable for those decisions.Facilitate technology forums and establish engineering standards to ensure consistency across teams.

Join Lookout, Inc., a leading global name in cybersecurity, as we fortify enterprise defenses against human error and manipulation. Our cloud-native platform is designed for quick deployment and streamlined security operations, protecting mobile devices from the rising tide of human-centric attacks. Cybercriminals increasingly target individuals through social engineering tactics that exploit trust, curiosity, and urgency, leading them to compromise sensitive information. We specialize in Lookout Endpoint Detection and Response (EDR), which continuously monitors mobile endpoints for indications of human-centric attacks, traditional malware, software vulnerabilities, and other unusual activities. By leveraging advanced threat detection methods, including artificial intelligence (AI) and behavioral analysis, we identify potential threats before they can escalate. Lookout's backend systems are engineered to handle vast amounts of data while meeting the growing demand for data ingestion, delivery, and dynamic analysis. We seek skilled and driven engineers to develop core components and services, contributing to the advancement of our architecture. As part of our small team, you'll work on a large-scale, modern system with millions of users, allowing you to engage with cutting-edge products and services.

Role Overview The Nielsen Company is hiring a Member Technical Staff II for its Technology Department in Bengaluru. This role supports key technology initiatives and contributes to ongoing projects that shape the company's technical direction. What You Will Do Work on technology-driven projects alongside experienced colleagues Support the development and improvement of internal systems and tools Collaborate with team members to solve technical challenges Location This position is based in Bengaluru.

Role overview LinkedIn seeks a Senior Staff Software Engineer specializing in Machine Learning to join the Bengaluru team. The position focuses on designing and developing advanced algorithms and systems that enhance the user experience throughout the LinkedIn platform. What you will do Develop and deploy complex machine learning models and solutions to address platform needs. Collaborate with cross-functional teams to identify and implement new applications for machine learning technology. Contribute to LinkedIn’s mission of connecting professionals and supporting their productivity and success.

Join Tekion as a Senior Staff Software Engineer specializing in our cutting-edge Machine Learning Platform. In this pivotal role, you will leverage your expertise in software engineering and machine learning to drive innovative solutions that enhance our platform's capabilities and user experience. Collaborate with a talented team to architect and implement scalable systems, contribute to the development of machine learning models, and ensure the highest standards of quality and performance.

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 Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.

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.

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.

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.

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.

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.

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.

WHO WE ARE: Aviatrix® is a leading provider of cloud network security, empowering over 500 of the world’s foremost enterprises. As cloud infrastructures grow increasingly intricate and costly, the Aviatrix Cloud Network Security platform restores essential power, control, security, and simplicity for organizations looking to modernize their cloud strategies. As the only secure networking solution tailored for the cloud, Aviatrix ensures that companies are prepared for AI advancements and future challenges. Alongside the Aviatrix Certified Engineer (ACE) Program, recognized as the industry’s premier multicloud networking certification, Aviatrix integrates cloud, networking, and security teams, unlocking enhanced potential across any cloud. About the RoleAs part of our dynamic SaaS Platform team, we are seeking a Member of Technical Staff (MTS) specializing in Backend Engineering. This role presents an exciting opportunity for an early-career engineer with a solid grasp of backend development and a keen interest in distributed systems and cloud technologies. You will collaborate closely with seasoned engineers, contributing to the design and implementation of microservices, while expanding your skills in a fast-paced, collaborative environment.