Senior AI/ML Engineer

SkillMatch

Dubai

On-site

AED 300,000 - 400,000

Full time

14 days+

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Job summary

SkillMatch is seeking a Senior AI/ML Engineer to design, develop, and implement advanced AI and machine learning models impacting various industries. The ideal candidate will have over 5 years of experience building production-grade models and a strong proficiency in programming languages like Python.

The role involves collaborating with cross-functional teams and staying updated on emerging AI technologies. If you are passionate about AI and thrive in innovative environments, we encourage you to apply.

Qualifications

  • 5+ years of experience in AI and machine learning, with a proven track record of building and deploying production‑grade models.
  • Strong proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, or Keras.
  • Deep understanding of machine learning algorithms, including supervised and unsupervised learning.

Responsibilities

  • Design, develop, and deploy scalable AI and machine learning models tailored to industry‑specific applications.
  • Collaborate with product managers, data scientists, and engineers to integrate AI solutions into existing platforms.
  • Conduct research to stay current with emerging AI trends, technologies, and best practices.

Skills

Python
Machine Learning
TensorFlow
Data Analysis

Education

Bachelor’s or Master’s degree in Computer Science

Tools

AWS
Google Cloud
Hadoop

Job description

Senior AI/ML Engineer

We are seeking a highly skilled and experienced Senior AI/ML Engineer to join Neuronix Systems. As a Senior Engineer, you will play a key role in designing, developing, and implementing advanced AI and machine learning models that directly impact a wide range of industries. You will collaborate with cross‑functional teams to deliver innovative solutions that drive meaningful business outcomes for our clients.

If you are passionate about AI, enjoy working on complex challenges, and thrive in an innovative, forward‑thinking environment, we’d love to meet you.

Responsibilities
  • Design, develop, and deploy scalable AI and machine learning models tailored to industry‑specific applications.
  • Lead the end‑to‑end development lifecycle of AI systems, including data gathering, model building, training, and deployment.
  • Collaborate with product managers, data scientists, and engineers to integrate AI solutions into existing platforms and workflows.
  • Conduct research to stay current with emerging AI trends, technologies, and best practices, and apply them to real‑world problems.
  • Ensure AI models are optimized for performance, accuracy, and scalability in production environments.
  • Work closely with client teams to understand their business needs and deliver customized AI solutions that meet their objectives.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
Who You Are

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Ph.D. is a plus).

5+ years of experience in AI and machine learning, with a proven track record of building and deploying production‑grade models.

Strong proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, or Keras.

Deep understanding of machine learning algorithms, including supervised and unsupervised learning, neural networks, and reinforcement learning.

Experience with big data tools and platforms (e.g., Hadoop, Spark, or cloud‑based solutions like AWS, Google Cloud, Azure).

Ability to solve complex problems and optimize models for speed and performance.

Excellent communication skills and the ability to work in a collaborative, fast‑paced environment.

Nice‑To‑Haves
  • Experience in industry sectors like healthcare, finance, retail, or manufacturing.
  • Familiarity with natural language processing (NLP) and computer vision.
  • Contributions to AI/ML research papers or open‑source projects.
  • Experience with AI‑powered automation and robotic process automation (RPA).
  • Previous leadership or mentorship experience in AI/ML projects.
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