Senior Machine Learning Operations Engineer

Newrelic

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Job Description Senior Data Scientist (P3)  Location : Bangalore  Experience : 5 - 8 years    About New Relic New Relic is a cloud-based observability platform that gives developers, engineers, operations, and management a clear view of what’s happening in today’s complex software environments. So they can find and fix problems faster, and deliver delightful experiences for their customers. That's why the world’s best engineering teams rely on New Relic to visualize, analyze, and troubleshoot their software. It’s the simplest, most powerful cloud-based observability platform, built to create more perfect software. All from one place. Founded in 2008, we’re a global company passionate about building a culture where all employees feel a deep sense of belonging, where every ‘Relic’ can bring their whole self to work and feel supported and empowered to thrive. We’re consistently recognized as a distinguished employer and are committed to building world-class products and an award-winning culture. For more information, visit newrelic.com. JOB DESCRIPTION: SENIOR DATA SCIENTIST WHY THIS ROLE MATTERS: MOST GENAI ROLES RIGHT NOW ARE DROWNING IN HYPE, FOCUSING PURELY ON PROMPT ENGINEERING WITH LITTLE MATHEMATICAL SUBSTANCE. ON THE FLIP SIDE, MANY TRADITIONAL DATA SCIENCE ROLES ARE STUCK IN SILOS, FAR AWAY FROM PRODUCTION. THIS ROLE IS THE ANTIDOTE TO BOTH. AT NEW RELIC, YOU WILL SIT AT THE INTERSECTION OF MASSIVE-SCALE TELEMETRY DATA AND CUTTING-EDGE INTELLIGENCE. YOU WILL USE YOUR DEEP STATISTICAL FOUNDATIONS TO SOLVE COMPLEX, REAL-WORLD TIME-SERIES AND ANOMALY DETECTION PROBLEMS, WHILE SIMULTANEOUSLY HAVING THE MANDATE TO BUILD THE NEXT GENERATION OF AI AGENTS AND LLM ORCHESTRATION FOR AUTONOMOUS OBSERVABILITY. YOU WON'T JUST BUILD MODELS IN A VACUUM—YOU WILL DEPLOY THEM, OWN THEM, AND SEE THEIR IMPACT ON MILLIONS OF APPLICATIONS GLOBALLY. DESCRIPTION We are seeking an experienced and dynamic Senior Data Scientist to join our team at New Relic. You will be primarily responsible for driving data-oriented projects, transforming ambiguous business problems into clear, actionable insights, and productionalizing those insights at scale. The ideal candidate is adept at understanding business needs that are often quantitatively ambiguous and using large, complex, structured datasets (such as telemetry, time-series, and system logs) to find opportunities for product and process optimization. You should be able to work independently, take an idea and run with it, and deliver high-impact results while bridging the gap between classical ML modeling and the next wave of agentic AI. RESPONSIBILITIES * Predictive Analytics: Analyze large, complex structured datasets, applying robust statistical methods and classical machine learning techniques (e.g., time-series forecasting, anomaly detection, classification, and linear/logistic regression). * Model Deployment: End-to-end ownership of data science solutions, including building, evaluating, and deploying models into production with clean version control and CI/CD practices. * Rigorous Evaluation: Establish and manage model evaluation frameworks to track model accuracy, data drift, and performance metrics post-deployment. * GenAI Exploration: Collaborate on innovative initiatives by building AI Agents and exploring LLM orchestration to advance autonomous observability capabilities. * Cross-Functional Collaboration: Partner effectively with internal stakeholders, engineering teams, and product managers to understand technical needs and translate data findings into actionable product plans. * Communication & Visualization: Present complex analytical findings using data visualization techniques, clearly communicating recommendations to both technical and non-technical stakeholders. REQUIRED QUALIFICATIONS * Experience: 5+ years of professional experience as a Data Scientist or in a highly quantitative technical role. * Education: Bachelor’s degree or more. * Statistical Mastery: Strong foundational understanding and practical application of advanced statistical concepts, classical machine learning algorithms ,Deep Learning and time-series analysis. * Technical Proficiency: Expert-level skills in Python and SQL for data manipulation, modeling, and pipeline development. * Production Experience: Proven track record of taking data science models out of notebooks and successfully deploying them into a live production environment. * Soft Skills: Exceptional problem-solving abilities, should be comfortable navigating ambiguity, good communication skills, and the ability to manage multiple competing priorities independently with minimal supervision. * Stakeholder Management: Prior experience translating complex data science methodologies into clear, high-impact narratives for leadership and non-technical audiences. GOOD TO HAVE * Domain Expertise: Experience in the Observability, APM (Application Performance Monitoring), or AIOps space, particularly working with large-scale telemetry data (metrics, events, logs, and traces). * GenAI Exposure: Hands-on experience or deep familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI) and building practical AI Agents. * Modern MLOps: Exposure to advanced deployment infrastructure like Docker, Kubernetes, and scaling PODs in cloud environments. KEY PILLARS TO HIGHLIGHT TO CANDIDATES We can emphasize these three things: * Real Data at Massive Scale: You aren't working on boring, clean tabular data. You are tackling high-velocity, complex telemetry data where your statistical rigor actually matters. * The Best of Both Worlds: You don't have to choose between keeping your classical ML skills sharp and learning GenAI. We want you to use your strong math background and give you the playground to build AI agents. * True End-to-End Ownership: You won't just hand code over to an engineering team to die in a queue. You’ll have the autonomy to build, evaluate, and push your models to production.   Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.  If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.  Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy

Truecaller

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: You will play an important role in developing data pipelines, frameworks, and models to support the understanding of our users and better product decisions. You will help empower product teams with a complete self-serve analytics platform by working on scalable, robust solutions while collaborating with data engineers, data scientists, and data analysts across the company. What you’ll do:         Drive Architectural Vision & Execution * Design for Scale: Lead the architectural design and hands-on implementation of high-throughput, low-latency data pipelines using Spark and Kafka to process massive datasets. * Build Core Infrastructure: Develop, optimize, and maintain robust data models in BigQuery and orchestrate complex, multi-layered data workflows using Apache Airflow. * Operationalize AI/ML: Partner directly with Data Science teams to take machine learning models out of the lab and into production. Design the architecture that allows these models to serve real-time predictions and insights to downstream services.        Lead Complex, Cross-Functional Initiatives * Navigate Ambiguity: Take ownership of highly ambiguous business problems, translating vague stakeholder requirements into concrete, actionable technical roadmaps. * End-to-End Delivery: Autonomously drive complex, multi-squad projects from the initial whiteboard design phase through large-scale deployment and long-term maintenance. * Cross-Business Alignment: Collaborate with Product Owners and technical leaders across different Business Units to ensure your data systems support the overall company strategy and maximize end-user value.        Elevate Engineering Standards & Team Performance * Champion Quality: Actively lead large-scale refactoring efforts and continuously drive improvements in code quality, system reliability, and internal tooling. * Proactive Problem Solving: Act as the vanguard for system health—spotting subtle, long-term performance bottlenecks early and architecting workable solutions before they impact the business. * Mentorship & Coaching: Dedicate time to leveling up the broader engineering organization. Conduct rigorous architectural and peer code reviews, mentor senior and junior engineers, and promote a pervasive culture of technical excellence. What you bring in:         Architecture & Tech Stack * Core Engineering: Exceptional proficiency in programming in Python / Scala to build robust, highly optimized data systems. * Distributed Systems: Extensive architectural experience with Apache Spark and Kafka (or equivalents like Flink, Kinesis, GCP Pub/Sub) to build high-throughput, low-latency pipelines handling AdTech-scale data (millions of events/sec). * Data Warehousing & Orchestration: Expert in data modeling and query optimization in BigQuery (or Snowflake / Redshift). Proficient in orchestrating complex DAGs and workflows using Apache Airflow (or Dagster / Prefect). * MLOps & AI Integration: Experience deploying machine learning models into production. Ability to engineer deployment architectures that translate AI models into scalable, low-latency APIs for downstream services.        Complex Execution * End-to-End Ownership: Proven track record of leading complex, cross-squad projects from initial whiteboard design through large-scale deployment and maintenance. * Problem Decomposition: Strong ability to break down highly ambiguous technical problems into clear, actionable development plans for multiple teams.        Engineering Leadership * Engineering Standards: Drives the adoption of architectural best practices, robust testing methodologies, and high engineering standards across the organization. * System Evolution: Leads large-scale codebase refactoring, system health improvements, and the evolution of internal tooling. * Mentorship: Actively mentors senior and junior engineers, conducts rigorous architectural/code reviews, and guides the team's long-term technology choices. It would be great if you also have: * Transactional Databases: Hands-on experience with operational RDBMS (e.g., PostgreSQL, MySQL) and low-latency NoSQL data stores (e.g., Redis, Cassandra). * Microservices Architecture: Experience building or integrating with microservice ecosystems, including API design (REST, gRPC) and container orchestration (Docker, Kubernetes). * Infrastructure as Code (IaC): Proficiency in provisioning cloud data infrastructure using Terraform and configuring robust CI/CD pipeline What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package:  Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Smartsheet

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. PRINCIPAL PRODUCT MANAGER, DATA & AI PLATFORMS As a Principal Product Manager, Data & AI Platforms at Smartsheet, you will serve as a visionary leader, responsible for the strategic direction and execution of our foundational data ecosystem. You will treat our data and AI infrastructure as a premier product, ensuring it is of high quality, architected for massive scale, and directly aligned with Smartsheet’s mission-critical business and advanced AI objectives. This is a high-impact role that bridges engineering excellence with measurable business value, driving the democratization of data and the enablement of advanced AI capabilities across the global organization. You Will: * Drive Strategic Alignment: Lead the alignment of data governance and AI-driven use cases across Engineering, Product, and Business organizations to ensure unified goals, rigorous prioritization, and clear scoping of platform capabilities. * Lead Product Lifecycle: Manage both inbound (requirements gathering, strategic roadmap definition) and outbound (internal/external evangelism, community engagement, customer feedback loops) product management for the data and AI platform. * Own the Execution Roadmap: Define and drive the execution roadmap for critical data platform features, including the enablement of AI capabilities, streamlined data ingestion/onboarding, and foundational data vision initiatives. * Champion Governance & Quality: Own the business-stakeholder perspective for data quality and governance, ensuring the platform provides reliable, secure, and compliant data assets for all consumers. * Deliver High-Quality Requirements: Provide a continuous stream of detailed requirements with clear, measurable acceptance criteria, demonstrating a deep understanding of both upstream data source complexities and downstream end-user consumption needs. * Engage Stakeholders Extensively: Partner with cross-functional executive leaders to inform platform roadmaps and ensure the data strategy remains strategically aligned with Smartsheet’s overall product and business platform goals. * Act as a Data Ambassador: Represent the data and AI platform's capabilities internally and externally, clearly communicating the value proposition of features related to data retention, security, compliance, reliability, and integrity. * Provide Mentorship: Offer informal leadership and mentorship to Engineering and Product team members, fostering a culture of technical excellence, accountability, and collaborative delivery. Key Responsibilities: * Data as a Product (DaaP): Evangelize and implement a "Data as a Product" mindset, shifting the organization from reactive data requests to a self-service, scalable, and visionary data platform. * AI Enablement: Partner closely with AI and Engineering teams to integrate AI-driven use cases into the core data fabric, ensuring the platform robustly supports advanced machine learning, predictive analytics, and process automation. * Infrastructure Strategy: Leverage a strong, current understanding of Data Lakes, Data Mesh principles, Medallion Architecture, and modern cloud data platforms (e.g., Databricks, Snowflake) to guide the technical evolution of Smartsheet’s data architecture. * Data Integrity & Semantic Impact: Define and manage the semantic layer and data integrity practices to ensure data is accurate, fresh, and trusted across all business units. * Compliance & Ethics: Establish and automate robust data governance standards, including metadata management and strict privacy compliance (GDPR, CCPA, SOC2), while maintaining engineering velocity. Qualifications & Skills: * Experience: 8+ years of experience in Product Management, with a significant and proven focus on AI & data infrastructure, core backend platforms, or high-scale technical SaaS products. * Execution Focus: Proven track record of owning and successfully driving execution roadmaps for critical, scalable, and reliable data systems. * Technical Depth: Extensive and current understanding of: * AI Foundations and Platforms: Agentic frameworks, transformer architectures, prompt engineering,rag, fine-tuning techniques, vector databases, and embedding strategies. * Data Platforms: Deep familiarity with leading cloud data platforms (e.g., Databricks, Snowflake). * Data Warehousing: Knowledge of Dimensional Modeling and Data Vault 2.0 (DV2.0). * Architecture: Experience with Medallion Architecture and contemporary Data Integrity practices. * Communication Mastery: Exceptional ability to translate complex technical debt or architectural needs into clear business value, actionable initiatives, and precise "acceptance criteria" for diverse technical and non-technical stakeholders. * Customer-Centricity: Ability to treat internal developers, analysts, and external partners as "customers," utilizing research and data to identify and remove friction in the data consumption and contribution journey. * Architectural Fluency: High-level understanding of data governance, semantic impact, and data modeling, with the ability to lead and navigate complex architectural discussions with senior engineering teams.     Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote