Data Analytics Engineer Jobs

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. About the Role We are looking for a high-performing Sales Manager to lead and accelerate our growth in the Philippines. This role is critical to scaling our business, with a clear mandate to 2X revenue and expand market share over the next phase of growth. You will be responsible for driving strategic sales initiatives, building strong client relationships, and leading revenue expansion across key accounts and new busine

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for an experienced and driven leader, with great energy, passion and initiative to manage a highly motivated Pre-Sales Solutions Architecture team. MongoDB Pre-Sales Solution Architects partner with the rest of the go to market team to help our customers craft and build solutions to address their business needs. Our team is made up of top-tier software architects, entrepreneurs, and developers who take direct responsibility for customer success. As an integral component of the sales team, they help shoulder the responsibility of generating revenue, by strategically interfacing with the customer and becoming the trusted advisor. As a leader in Pre-Sales Solutions Architecture, you will cultivate a stellar team. You will partner closely with our sales counterparts to define, improve and execute our sales initiatives in the enterprise market. You will be integral to driving the business forward, by developing both our pre-sales and sales practices and by bringing the voice of experience. We are looking to speak to candidates who are based in Beijing or Shanghai, China for our hybrid working model. Candidate Pr

About the Team At Trendyol Core Commerce, we build innovative, data-driven strategies that power sustainable growth and global expansion. From seller experience to new market launches, we turn insights into action—fast. Our cross-functional teams shape the future of commerce with bold ideas, real-time impact, and a deep sense of ownership. In a fast-paced, collaborative environment, we grow together — as individuals and as a team. We are looking for an Category Executive to help the growth of our Fashion category in the CEE region. In this role, you will identify and onboard high-potential fashion sellers, brands, and stores while managing key partnerships and driving performance. You will be responsible for overseeing commercial negotiations, optimizing key performance indicators, and working closely with cross-functional teams to ensure smooth operations. If you have a passion for fashion and a proven ability to drive business growth, we want to hear from you. Responsibilities Identify and onboard high-potential sellers, brands, and stores in the CEE region. Lead negotiations on commercial and payment terms, securing favorable deals with vendors. Manage the onboarding process and collaborate with cross-functional teams to ensure operational readiness. Lead marketing and campaign initiatives in partnership with category and marketing teams. Monitor and optimize KPIs, including revenue, stock levels, and P&L, to drive business growth. Work closely with cross-functional teams to enhance KPIs and ensure alignment with business objectives. Foster account engagement through regular meetings, performance reviews, and relationship-building. Develop automated reporting and follow-up processes with stakeholders. Expected Qualifications Bachelor’s or Master’s degree in Engineering, Management, Business, or a related field. Extensive background in business development or sales, with a

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Beijing for our hybrid working model. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sale

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud, and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to help our customers be successful with MongoDB. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. The position will be based in our Gurugram office. The standard work week will be Sunday to Thursday, every week. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, wh

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

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. Engineer, GQ Ops IE Modeling and Automation Job Summary As an Engineer, GQ Ops IE Modeling and Automation, you will support automation strategy, system enablement, IE modeling, planning tools, and data governance for GQ Ops. This role contributes to transformation initiatives by developing and deploying automation solutions, enabling AMHS integration, improving scalable planning systems, and supporting data-driven operations to reduce manual touchpoints, improve reliability, and advance the GQ Ops reliability lab toward a future-ready operating model. The engineer will work closely with GQ Ops, Process Engineering, Planning, IE, Central and Site Automation, IT, Facilities, and vendors to identify automation opportunities, define process-side requirements, implement practical solutions, improve planning accuracy, and enable increasingly automated, standardized, and data-driven execution for GQ Ops. Key Responsibilities Lab Automation Strategy and Deployment · Contribute to the GQ Ops automation transformation roadmap by identifying and implementing opportunities to reduce manual effort, improve qualit

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. Join Micron Technology at a defining moment in our history. We are seeking a hands-on, results-driven Full-Stack AI Engineer to design, build, and deploy production-grade AI applications across our worldwide fab and assembly/test plants. Reporting in Industrial and Physical AI director, you will own AI products end to end -- from data pipelines and model training to web/mobile front-ends, APIs, and on-prem or edge deployment -- shipping the tools that put AI into the hands of fab engineers, operators, and leadership across this global program. Job Responsibilities Design, build, and ship full-stack AI applications for Micron's Autonomous Operations, including: - Design and build end-to-end AI products: data ingestion, feature pipelines, model training/inference, APIs, web UI, and observability Develop responsive front-ends in React, Angular or Streamlit, backed by Python/FastAPI, with strong type-safety and test coverage Integrate LLMs and agentic into production workflows for fab engineers Integration of robotics platforms, AMRs, tool automation, and control systems with smart manufacturing applications and the Micron MES ecosystem Containerize services (Docker), deploy via Kubernetes / OpenShift, and automate releases with CI/CD (GitHub Actions) Instrument production AI with monitoring, drift detection, evals, and feedback loops; treat MLOps as a first-class engineering concern Apply Responsible AI practices: input validation, prompt-injection defense

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. Responsibilities: ​ - To take on reliability accountability for Singapore Fab 10 with cross-functional projects and tasks which include but not limited to Understand semiconductor reliability failure mechanisms and physics Understand RG and FG process technology and risks on manufacturing quality Understand probe testing, device datasheet spec, and device characterization knowledge Accountable for Fab Reliability performance, define Wafer Level Reliability (WLR) sampling plan, Outgoing Quality and Reliability Monitoring (OQRM) matric, Fab process SWR study and conversion risk assessment Partner with Fab 10 PI/ PEE and Global TD, QE, Product, Test engineering team to meet intrinsic targets through process improvement Perform risk assessment on Class 1 and Class 2 process conversions and advise on data collection requirements and conversion roadmap Development of WLR capability as a proxy for equivalent package level reliability test Deep dive in Product Intrinsic Scorecards and Key Metric Understanding (Endurance, Retention, Program Disturb, X-temp, etc) Part of the Fab quality team contributing as SME in reliability fail modes and its associated detec

The Creative team provides customers with original, relevant, and contemporary visuals. Through an industry-unique combination of consumer research, proprietary data, and three decades of trend reporting experience, the team delivers actionable insights that guide customers to the visual content that connects with consumers. Closely collaborating with our contributor base of photographers, videographers, and illustrators around the world, the team develops market leading, authentic, and differentiated content. Who You Are: You have a strong creative vision and a deep understanding of videography and the visual landscape. You are an effective communicator with experience in creative industries, proficient at connecting with and influencing image and video-makers. You have a keen eye for identifying talented individuals and recruiting videographers who are well-suited for stock content. Passionate about Diversity & Inclusion, you bring diverse perspectives to your work. A self-starter, you work autonomously and collaboratively, leading and managing multiple projects effectively. As a Senior Creative Development Specialist specializing in Video, you will support the creator community by engaging, inspiring, and educating them to produce high-quality work that meets customer needs, while also supporting our global video strategy. Reporting to the regional creative lead, you will lead and manage your projects and collaborate with Creative Insights, Creator Relations, Custom Content, and Creator Engagement in EMEA, as well as Marketing, PR, and Sales teams, to deliver relevant local content. Your Next Challenge: <span data-ccp-charstyle="normaltextrun" data-ccp-charstyle-defn="{"ObjectId":"ac0262f4-8a9e-5820-b908-2d943c5f7113|1","ClassId":1073872969,"Properties":[201342446,"1",201342447,"5",201342448,"1",201342449,"1",469777841,"Aptos",469777842,"&

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 a Supply Demand Analyst (SDA) within Revenue Operations, you will connect customer demand, constrained supply, and revenue priorities across Sales, Business Units, Supply Chain, Demand Management, and Operations. You will support Sales Lock, Sales Plan, Sales Flash, constrained consensus, and customer support planning by analyzing demand signals, backlog, supply feasibility, customer commitments, and execution risks. Your insights will help improve planning accuracy, protect commitments, and enable timely cross-functional decisions. Responsibilities and Tasks Analyze demand, backlog, Field Sales Forecast, Sales Lock, Sales Plan, CSP/CC, supply availability, and customer support signals to identify risks and opportunities. Partner with Revenue Analysts, Forecast Analysts, Sales, Business Units, Supply Chain Planning, Demand Management, and Operations to align demand and supply assumptions. Support constrained consensus and customer support planning by evaluating plan feasibility, allocation needs, supply constraints, and demand changes. Resolve supply-demand disconnects, planning exceptions, data gaps, and process handoff issues that may impact revenue attainment or customer commitments. Recommend allocation, build-ahead, pull-in, remix, and other execution actions to optimize supply-demand balance. Use RapidResponse, Snowflake, Power BI, Excel, and related enterprise tools to manage data, evaluate scenarios, create reporting, and support decisions.

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. Senior Full-Stack AI Engineer, IPAI, SMAI Job Summary Join Micron's AI Revolution in Smart Manufacturing Be part of a groundbreaking transformation as Micron accelerates the future of AI-driven manufacturing. As a Senior Full-Stack AI Engineer , you will architect, build, and deploy cutting-edge AI applications that power smarter, faster, and more autonomous operations across Micron's global network of semiconductor fabs and assembly/test facilities. Working at the intersection of Artificial Intelligence, Software Engineering, and Advanced Manufacturing , you will collaborate with data scientists, engineers, and business stakeholders to develop scalable machine learning solutions, modern web applications, APIs, and intelligent automation platforms. Your work will directly influence how the world's most advanced memory and storage products are manufactured, driving efficiency, quality, and innovation at a global scale. Main Responsibilities Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. Architect and develop scalable full-stack AI applications usin

About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual

This position will be responsible for facilitating sales operations in bunkering through effective interdepartmental liaison, client relationship management, contract management, data reporting, and strategic digitization and automation initiatives Source: Adani Group | Job ID: 57285

Executive - Sales - Advertisement provides vital support to the sales team, assisting in executing sales strategies and maintaining client communication. This role focuses on data management and reporting while conducting market research to identify business growth opportunities and supporting overall sales initiatives. Source: Adani Group | Job ID: 57770