Senior Data Scientist- Foundation Models

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Ericsson

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Job Summary


Salary
₹66,435 - ₹104,630 / Monthly EST

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python PyTorch Go TensorFlow

Job Description

Grow with us

About the opportunity:

It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML), Generative AI and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity.

Ericsson’s AI Innovation & Incubation Team (AIII) is looking to hire a Senior Data Scientist or Senior Machine Learning Engineer with a strong track record in Applied Research who is passionate about ML and foundation models. In this role, you will be working with a group building foundation models for Telco.

What you will do:

  • Design and build telecom foundation models and domain‑adaptation pipelines for tasks such as channel modelling, resource allocation, network optimization, predictive maintenance, and radio sensing.
  • Design and maintain scalable, efficient data pipelines and AI/ML workflows for large-scale datasets.
  • Integrate state-of-the-art AI research techniques into project workflows to drive continuous innovation.
  • Collaborate with engineering and product teams to translate complex use cases into operational AI solutions.

The skills you bring:

  • Education: Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electronics & Communication Engineering, or a related discipline from a reputable institution. A First Class degree is preferred.
  • Experience: Minimum 8 years of hands-on experience in AI/ML solution development with a focus on foundation models.
    • Proficient in Python and deep learning frameworks such as PyTorch and TensorFlow; experience with libraries like Hugging Face Transformers.
    • Strong knowledge of machine learning and deep learning techniques, including large/foundation models, transfer learning, self‑supervised learning, and generative models.
    • Experience with unstructured data, building/fine-tuning foundation models is a significant plus.
    • Demonstrated ability to implement new algorithms and methodologies from leading research papers, assessing their scalability and viability for industrialization.
    • Demonstrated ability to deploy models at scale with considerations for latency, throughput, and resource constraints.
    • Solid problem-solving skills and capability to work autonomously on complex technical challenges
Nice to have

  • Proven ability to lead projects end-to-end with minimal supervision.
  • Excellent communication skills, with a track record of presenting technical findings to senior leadership and diverse audiences.
  • Experience in writing and presenting white papers, journal articles, or technical blogs is a plus.

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Bangalore

Req ID: 781409

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