Senior ML Engineer

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: As a Senior ML Engineer, you'll play a central role in building the data science behind the products — from framing new fraud, risk, and intelligence problems, to designing and deploying ML models at scale, to helping our enterprise customers and go-to-market teams understand and act on the insights we generate. What you’ll do:  * Design, build, and continuously improve the ML models that power our risk and intelligence products, and take ownership of new signals as they get scoped. * Take a loosely defined business or customer problem and break it into a clear data problem, articulating value, impact, and complexity before proposing a solution. * Build anomaly detection, fraud, and risk-modeling approaches — including network/graph-based methods — that keep our signals accurate and resistant to adversarial behaviour. * Own model development, deployment, and monitoring end-to-end, partnering with ML/data engineers on scalability, reliability, cost, and dashboards/alerting. * Design and run experiments (A/B tests, offline customer POCs) to validate new signals before they roll into production. * Manage and analyse large, multi-country datasets, ensuring data integrity, consistency, and compliance throughout. * Partner cross-functionally with Product, Engineering, Legal, and GTM/Sales to scope, prioritise, and ship data products on time, acting as a trusted advisor on what the data can and can't responsibly support. What you bring in:  * 5+ years of experience designing, building, and deploying ML models at scale, ideally including risk/fraud, propensity, or behavioural/network scoring use cases. * Strong grounding in applied machine learning: classification, anomaly detection, propensity/scoring models, clustering, and time-series/drift monitoring. * Exposure to graph-based analysis or graph ML (network embeddings, community detection, link prediction) is a plus. * Hands-on experience taking models from research/experimentation into production — comfortable owning scalability, reliability, and monitoring, not just model accuracy. * Working knowledge of NLP and LLM-based techniques (prompting, summarisation, fine-tuning) — useful for customer-facing AI insights and on-device text/SMS signal extraction. * Proficiency in Python and the ML/data stack: Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch; comfortable with Hugging Face Transformers where relevant. * Strong SQL skills and experience with large-scale data processing (BigQuery, Spark/PySpark, Hive/Kafka ecosystem). * Familiarity with database modelling and data warehousing principles. * Ability to design, run, and interpret experiments and statistical tests to validate model and business impact. * Strong communication skills — able to explain model output and trade-offs to both engineering peers and non-technical enterprise stakeholders. * Comfort operating with a strong privacy/compliance mindset — Truecaller's data products are built on abstracted, privacy-safe signals, and you'll need to reason carefully about what can and can't be derived or stored. It would be great if you also have: * Experience with graph databases (e.g. Neo4j) or large-scale graph processing frameworks. * Experience with ML lifecycle tools (Kubeflow, MLflow) and on-device/edge ML deployment. * Familiarity with Google Cloud Platform (GCP) and BigQuery. * Prior experience in fraud/risk scoring, credit/alternate-data, or contact-centre/dialer analytics domains. * Experience working with data resellers, credit bureaus, or enterprise data partners on integrating and explaining model output. 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.

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: As a Senior ML Engineer, you will be working hands-on to optimise the training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Truecaller reach and remain at the cutting edge of ML training and deployment, and to explore new frontiers such as federated learning. What you will do * Understand the current and future needs of developers and the organisation, and create a roadmap with your manager for meeting those needs. * Work with teams across Truecaller, enabling them to deploy models to production quickly and cost-effectively. * Work hands-on with teams throughout Truecaller to optimise ML models for mobile devices. * Be the go-to expert for developing models for mobile devices as well as deploying them. * Staying up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and driving continuous innovation throughout Truecaller. What you bring in * Degree in computer science or equivalent * 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments. * A strong understanding and experience to optimise feature engineering, model training, and model deployment. * Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile). * Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms. * Understanding of both Android and iOS development and how that impacts ML model deployment and usage. * Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines. * A customer-focused mindset. * Excellent communication skills in spoken and written English. 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: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * 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 well-stocked snack stations 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 times per year for 3 days, 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.  Check out Life at Truecaller - Behind the code:   https://www.instagram.com/lifeattruecaller/ 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.

Epicgames

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES WHAT WE DO Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide. WHAT YOU'LL DO You will work with our team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models for agentic vision tools. You will be responsible for the design, implementation and deployment of production-ready computer vision models that support game developers in our ecosystem (including scene generation and trained bots/agents), as well as agents for automated content verification (e.g. gameplay behavior). IN THIS ROLE, YOU WILL * Create and deliver production-ready, scalable and high-quality deep-learning models and associated algorithms for computer vision problems * Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap * Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones WHAT WE'RE LOOKING FOR * PhD in Computer Science, Mathematics or related field, 5+ years of relevant industry experience * Proven track record creating innovative solutions for problems in Computer Vision and deploying them as production-level systems in industrial environments * Expert, hands-on knowledge of: * Deep learning techniques for supervised, semi-supervised and unsupervised learning * Reinforcement learning, imitation learning, and related frameworks * Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)  * Experience with working collaboratively with other developers, following a flexible/agile/lean approach * Desirable: * Experience with architecting, scaling, securing and operating ML systems in the cloud (ideally AWS) at medium to large scale * Experience with 3D Vision/Graphics EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. LIKE WHAT YOU HEAR? COME BE A PART OF SOMETHING EPIC! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.