Senior AI Research Scientist - Machine Learning Specialist

Placements24

Midrand

Hybrid

ZAR 900,000 - 1,700,000

Full time

3 days ago
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Benefits offered by this job

Competitive compensation
Health benefits
Flexible working arrangements
Access to state-of-the-art technology
Career development opportunities

Job summary

Placements24 is seeking a Senior AI Research Scientist to join its AI & Emerging Technologies team in Midrand, Gauteng. You will drive innovative ML projects, develop state-of-the-art models, and collaborate with data engineers and software developers to deploy AI solutions in production.

The ideal candidate holds a PhD or Master’s in a quantitative field with 5+ years of AI research experience, strong Python and ML library skills, and experience with cloud and big data tools.

Qualifications

  • PhD or Master’s in Computer Science/AI/ML/Data Science or related field.
  • 5+ years of AI research and development experience with ML focus.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Deep understanding of supervised, unsupervised, and reinforcement learning.

Responsibilities

  • Design, develop, and implement advanced ML algorithms for diverse applications.
  • Research novel AI techniques and identify business applications.
  • Collaborate with data engineers and software developers to integrate AI solutions.
  • Analyze large datasets to extract actionable insights and guide model development.
  • Benchmark model performance for accuracy, scalability, and efficiency.
  • Mentor junior researchers and present findings to stakeholders.

Skills

Python
TensorFlow
PyTorch
scikit-learn
Machine Learning
Spark
Hadoop
Cloud platforms
Data Analysis
Reinforcement Learning

Education

PhD in Computer Science or related field
Master’s degree in a quantitative field

Tools

Spark
Hadoop
AWS
Azure
GCP

Job description

About the Role

Our client, a pioneering firm in the AI & Emerging Technologies sector, is seeking a highly skilled and experienced Senior AI Research Scientist to join their dynamic team in Midrand, Gauteng . This role is instrumental in driving innovation and developing cutting-edge machine learning models that will shape the future of artificial intelligence. You will be part of a collaborative environment dedicated to pushing the boundaries of what's possible, contributing to groundbreaking projects that have real-world impact. We are looking for individuals passionate about solving complex problems with data and algorithms, and who thrive in a challenging yet rewarding setting. The ideal candidate will possess a deep understanding of theoretical concepts and practical implementation of various ML techniques.

Key Responsibilities
  • Design, develop, and implement advanced machine learning algorithms and models for diverse applications.
  • Conduct in-depth research into novel AI techniques and identify opportunities for their application within the business.
  • Collaborate with cross-functional teams, including data engineers and software developers, to integrate AI solutions into existing products and services.
  • Analyze large datasets to extract actionable insights and inform model development strategies.
  • Stay abreast of the latest advancements in AI, machine learning, and related fields, and translate this knowledge into practical solutions.
  • Evaluate and benchmark model performance, ensuring accuracy, scalability, and efficiency.
  • Mentor junior researchers and engineers, fostering a culture of continuous learning and knowledge sharing.
  • Present research findings and project updates to stakeholders and leadership.
Requirements
  • PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
  • Proven track record of 5+ years in AI research and development, with a strong focus on machine learning.
  • Expertise in programming languages such as Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Deep understanding of supervised, unsupervised, and reinforcement learning paradigms.
  • Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.
  • Demonstrated experience in deploying ML models into production environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.
Benefits
  • Our client offers a competitive compensation package, comprehensive health benefits, and opportunities for professional development and growth.
  • Employees benefit from a flexible working arrangement, access to state-of-the-art technology, and a vibrant company culture.
  • There are ample opportunities for career advancement and exposure to industry-leading projects.
  • Join a team where your contributions are valued and you can make a significant impact on the future of AI.
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