freehire launches on Product Hunt on 26 August.

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Senior Data Scientist - AI Engineering

Summary

Lead AI engineering efforts, designing and deploying ML systems, mentoring teams, and driving enterprise-level data strategy with Python, TensorFlow/PyTorch, and cloud platforms.

  • Extensive learning opportunities, including job and soft skill training, mentors
  • Join a diverse company where employees are treated with respect.

About Our Client

Our client is a leading digital solutions provider in Southeast Asia, known for pioneering advancements in connectivity, fintech, and enterprise services. With a strong commitment to innovation, sustainability, and customer-centricity, they are reshaping the future of digital ecosystems through cutting-edge technologies and strategic partnerships.

Job Description

  • Lead the design, development, and deployment of AI-driven solutions across various business units.
  • Collaborate with cross-functional teams to identify opportunities for AI integration and data-driven decision-making.
  • Architect scalable machine learning systems and ensure robust model lifecycle management.
  • Mentor and guide junior data scientists and AI engineers, fostering a culture of technical excellence and innovation.
  • Drive strategic initiatives in AI governance, ethical AI practices, and model interpretability.
  • Communicate insights and recommendations to senior stakeholders and influence data strategy at the enterprise level.

The Successful Applicant

  • Proven experience in AI engineering, machine learning, and data science, with a strong portfolio of deployed solutions.
  • 5+ years of experience in data science roles.
  • 2+ years in a leadership capacity is highly preferred.
  • Proficient in Python, TensorFlow/PyTorch, cloud platforms (AWS/GCP/Azure), and MLOps frameworks.
  • Strong understanding of data architecture, model optimization, and performance tuning.
  • Excellent communication and stakeholder management skills.
  • Passionate about mentoring and developing talent within the team.

What’s on Offer

  • Highly competitive salary
  • Health insurance and wellness programs
  • Hybrid work setup for better work-life balance

See also