Senior Machine Learning Engineer

2 weeks ago


Stockholm, Stockholm, Sweden Truecaller Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our Data Science and Analytics Products team at Truecaller. As a key member of our team, you will be responsible for optimizing the training and deployment of machine learning models to ensure they are 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.

Key Responsibilities
  • Collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms.
  • Work hands-on with teams to optimize ML models for mobile devices.
  • Be the go-to expert for developing models for mobile devices as well as deploying them.
  • Stay up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and drive continuous innovation throughout Truecaller.
Requirements
  • 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments.
  • 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
  • A smart, talented, and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing, and fun environment.
  • A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.
  • Great tech tools: Pick the computer and phone you most fancy within our budget ranges.
  • Do it your way: We work in the office on Tuesdays, Wednesdays, and Thursdays with flexibility on the other days.
  • Office life: Enjoy your days with a wide range of yummy snacks and beverages, and have fun in our playroom As well as in our exciting company parties and team activities such as Lab days, Running team, and Geek lunch


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