ER

AI Engineering Manager

Ericsson

6 months ago

15+ years

Hybrid

Bengaluru, Karnataka, Karnataka, India

  • Provide technical programming guidance, including hands-on coding when necessary.
  • Designing predictive models, anomaly detection systems, recommendation engines, and deep learning solutions.
  • Building AI/ML competencies across Ericsson businesses and customer units.
  • Artificial Intelligence (AI)

    Machine Learning

    Big data

    Analytical skills

    Job description & requirements

    Key Responsibilities:


    1. Oversee the development, support, maintenance, and implementation of AI/ML projects within BEWS AI Engineering.
    2. Strategically align AI/ML units with organizational business goals.
    3. Provide technical programming guidance, including hands-on coding when necessary.
    4. Manage teams working on:
    5. Functional and technical analysis to address ML-driven business needs.
    6. Development of high-quality AI/ML applications using massive 5G network, IoT, and external datasets.
    7. Designing predictive models, anomaly detection systems, recommendation engines, and deep learning solutions.
    8. Exploring new/existing data sources and collaborating with Data Architects.
    9. Partnering with product teams to integrate ML models into Ericsson solutions.
    10. Championing new technologies in Ericsson’s MI Communities.
    11. Building AI/ML competencies across Ericsson businesses and customer units.
    12. Innovating and applying AI/ML methodologies for cross-functional initiatives.
    13. Ensure performance and technical growth of AI teams.
    14. Develop hiring plans, training, and staffing roadmaps.
    15. Resolve critical technical and strategic issues impacting the organization.

    Key Qualifications:


    1. Education: Bachelor’s/Master's in engineering. MBA or PG Diploma is a plus.
    2. Experience: ~15 years in the industry, with at least 5 years in managerial role.
    3. Technical Expertise: AI, ML, Big Data, and Analytics experience. Strong technical knowledge across AI/ML disciplines with a business-aligned approach.
    4. Leadership & Strategy: Ability to balance strategic vision with operational execution. Strong analytical skills and a pragmatic approach to problem-solving.
    5. Collaboration: Proven experience working across multiple countries and stakeholders at all levels.
    6. People Management: Strong skills in talent acquisition, motivation, and retention.
    7. Communication: Excellent communication and stakeholder management skills.
    8. Work Ethic: Self-motivated, well-organized, and results-driven with high integrity and initiative.


    Experience :

    15+ years

    Job Domain/Function :

    AI Engineering

    Job Type :

    Hybrid

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Bengaluru, Karnataka, India, Bengaluru, Karnataka, India

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