Senior AI Research Scientist - Machine Learning Specialization

Placements24; Pietermaritzburg; Híbrido; ZAR 900 000 - 1 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Annual leave

Professional development

Research facilities

Conference attendance

Flexible working

Resumo da oferta

Placements24 in Pietermaritzburg, KwaZulu-Natal, is seeking a Senior AI Research Scientist to lead cutting-edge research in machine learning, deep learning, NLP, and computer vision. You will develop deployable AI models, collaborate with cross-functional teams, and mentor junior researchers in a vibrant research environment.

The role emphasizes translating theory into practical solutions, publishing results, and contributing to the company’s AI portfolio, with opportunities for growth and

Qualificações

• Ph.D. or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Proven research track record with publications, patents, or major projects.
• Expertise in TensorFlow, PyTorch, or JAX.
• Strong Python programming with NumPy/SciPy/scikit-learn.
• Experience with large-scale data processing and distributed systems (Spark/Hadoop) is a plus.
• Excellent analytical and communication skills; leadership experience preferred.

Responsabilidades

• Conduct cutting-edge ML/DL/NLP/vision research.
• Design, implement, and validate novel AI algorithms.
• Collaborate with data scientists, software engineers, and product teams.
• Translate research into deployable solutions.
• Develop scalable AI code and experiments with reproducibility.
• Mentor junior researchers and engineers.
• Present findings to technical and non-technical stakeholders.
• Contribute to IP through papers and patents.
• Stay aligned with industry advances and opportunities.
• Support deployment and monitoring of AI models.

Conhecimentos

Python

ML frameworks

Distributed computing

Cloud platforms

Research leadership

Communication

Formação académica

PhD or Master

Ferramentas

TensorFlow

PyTorch

JAX

NumPy

SciPy

scikit-learn

Descrição da oferta de emprego

About the Role

Our client, a leader in leveraging cutting-edge AI to solve complex business challenges, is seeking a highly skilled and innovative Senior AI Research Scientist to join their dynamic team in Pietermaritzburg, KwaZulu-Natal . This role is pivotal in driving forward our client's research and development initiatives in the field of artificial intelligence, with a specific focus on machine learning algorithms and their practical applications. You will be instrumental in conceptualizing, developing, and deploying advanced AI models that will shape the future of various industries. This is a unique opportunity to work in a collaborative environment, pushing the boundaries of what's possible with AI and making a tangible impact. The ideal candidate will possess a deep theoretical understanding combined with a strong practical ability to translate research into deployable solutions. We are committed to fostering a culture of continuous learning and innovation, providing ample opportunities for professional growth and development within the vibrant tech landscape of Pietermaritzburg .

Key Responsibilities

• Conduct groundbreaking research in machine learning, deep learning, natural language processing, and computer vision.
• Design, implement, and validate novel AI algorithms and models to address specific business problems.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing products and services.
• Stay abreast of the latest advancements in AI research and identify opportunities for application within our client's portfolio.
• Develop and maintain high-quality code for AI models and experiments, ensuring reproducibility and scalability.
• Mentor junior researchers and engineers, fostering a culture of technical excellence and knowledge sharing.
• Present research findings and project progress to stakeholders at various levels, including technical and non-technical audiences.
• Contribute to the intellectual property portfolio through patent applications and publications.
• Optimize AI models for performance, efficiency, and accuracy in real-world scenarios.
• Participate in the full lifecycle of AI model development, from data collection and preprocessing to deployment and monitoring.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in AI/ML, evidenced by publications, patents, or significant project contributions.
• Expertise in at least one major machine learning framework such as TensorFlow, PyTorch, or JAX.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, scikit-learn).
• In-depth understanding of statistical modeling, algorithms, and data structures.
• Experience with large-scale data processing and distributed computing frameworks (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
• Experience in leading research projects and mentoring junior team members.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI workloads is desirable.

Benefits

• Our client offers a competitive remuneration package commensurate with experience and qualifications.
• Employees benefit from comprehensive health insurance coverage, including medical, dental, and vision.
• We provide a generous annual leave allowance, with opportunities for professional development and continuous training.
• A supportive work environment, state-of-the-art research facilities, and the chance to work on transformative AI projects are integral to our employee value proposition.
• Opportunities for conference attendance and further academic collaboration are also available.
• Our client is committed to work-life balance, offering flexible working arrangements where feasible.
• Pension fund contributions and performance-based bonuses are also part of the overall compensation structure.