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.

Techrytera AB

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description Uppdragsbeskrivning Our client is enhancing their data platform (Databricks) with AI capabilities and are looking for a senior ML Engineer. The person they are seeking has experience from the whole ML chain including data → feature → model → deployment → monitoring. The person does also have experience from cost consciousness – Dev, Deploy and Run vs. business value.  Skill requirements At least 5 years of experience building and maintaining production models and AI solutions Able to contribute to all parts of an AI solution Azure AI stack such as Azure AI services, Microsoft Foundry etc Strong Python skills Proficient in ML frameworks such as Tensorflow, PyTorch, MLlib and Scikit-Learn Hands on experience in designing and operating functions in Azure and Databricks Experienced with at least one MLOps tool (ideally MLFlow) Strong experience in one of NLP, computer vision, timeseries, anomaly detection with some experience in the others Experience with software engineering practices (version control, CI/CD, testing, etc.)  Nice to have: Experience with RAG systems Agentic systems and RPA PySpark/Apache Spark Event driven systems or streaming data Experience mentoring junior ML and Data engineers Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

Betsson

Our Sportsbook AI/ML Team is looking for a Senior AI Engineer to make a difference in the design and further development of AI and Machine Learning solutions for both internal and external business needs. We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning many Tech Hubs. THE WOW From Architecture to Trading teams, our Sportsbook is an in-house platform that also hosts brand offerings for customers. From the tools traders use to the cutting-edge features available for betting on various sports, these teams are the backbone making it all possible. The goal is to deliver top performance, functionality, and user experience in the iGaming industry. As part of our Sportsbook tech team, a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.   A TASTER OF WHAT YOU WILL BE INVOLVED WITH:  * Maintaining and evolving our AI/ML projects using Python * Build design Agentic LLM based solutions and maintain/improve existing ones * Ensure output quality by verifying consistency and accuracy * Investigate, assess, and develop cloud based MCP solutions * Comfortable working under Agile Framework (Scrum 2-week iterations) * Have an investigative mindset to be able to troubleshoot and being creative when it comes to troubleshooting problems and incident management * Document necessary processes and procedures (creating KBs, runbooks, topology etc) * Taking full ownership of projects and tasks with being able to work within the team * Work closely with stakeholders to deliver accurate and timely insights to our business partners   WHAT WE ARE LOOKING FOR * Solid experience with Python and OOP * Experience with tools like Langchain, Langraph, Langsmith, FastAPI, Opensearch, Redis/Valkey, Pandas, Pytorch, spacy * Confident with LLMs and their evaluation practices and knowing /having some background on AI agentic tools, skills, workflows * Demonstrated experience with RAG systems, Vector embeddings, knowledge graphs * Confident with Amazon Web Services or similar cloud environments and having some experience with MLOps * Familiar with software versioning tools like Git * Additional programming skills, Prompt Engineering will be a plus * Experience in sportsbook/betting or fintech sectors is considered a plus * Continuous learning mindset * Can effectively prioritize and handle multiple tasks and projects * Excellent verbal and written English communication skills   WHAT WE OFFER * Fitness-wellness allowance  🧗‍♂️ * Company mobile phone for private use with 100 GB  📱 * Annual HUF devaluation compensation  💡 * Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠 * Private Health Insurance  🩺 * Career development  📈 * Technical and soft-skill training opportunities 🎓 * Breakfast, fruits & lunch 🍎 * Team building events  🥳     CHALLENGE ACCEPTED? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy