Machine Learning Engineer

CNTXT AI; Abu Dhabi Emirate; On-site; AED 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a skilled Machine Learning Engineer to design and deploy cutting-edge machine learning models. This role focuses on enhancing business performance through advanced ML techniques, including supervised and unsupervised learning, deep learning, and NLP applications. The ideal candidate will thrive in a collaborative environment, working with data scientists and software engineers to create impactful solutions. Join a forward-thinking company that values creativity and innovation, and be at the forefront of AI advancements in a dynamic industry.

Benefits

Health Insurance

Flexible Working Hours

Professional Development

Remote Work Options

Team Building Activities

Qualifications

• Strong expertise in data science and machine learning techniques.
• Experience with cloud platforms and ML frameworks.

Responsibilities

• Design and deploy machine learning models for various applications.
• Collaborate with teams to translate requirements into ML solutions.

Skills

Python

R

Java

Machine Learning

Data Science

Cloud Technologies

NLP

Deep Learning

Problem Solving

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Tools

TensorFlow

PyTorch

Scikit-Learn

AWS

Azure

GCP

Docker

Kubernetes

Git

Job description

CNTXT AI Abu Dhabi Emirate, United Arab Emirates

Machine Learning Engineer

CNTXT AI Abu Dhabi Emirate, United Arab Emirates

We are seeking a highly skilled and motivated Machine Learning Engineer to design, develop, and deploy machine learning models that drive innovation and enhance business performance. The ideal candidate will have strong expertise in data science, programming, and cloud technologies, along with experience in applying ML techniques to real-world problems.

Key Responsibilities :

• Design, develop, and deploy machine learning models for various applications.
• Work closely with data scientists, software engineers, and business stakeholders to understand requirements and translate them into ML solutions.
• Implement and optimize algorithms for supervised and unsupervised learning, deep learning, NLP, and other AI applications.
• Preprocess and clean data, ensuring high-quality datasets for model training and validation.
• Evaluate and fine-tune models using industry-standard metrics and techniques.
• Deploy machine learning models into production environments using cloud services or on-premise infrastructure.
• Monitor, maintain, and improve ML models in production to ensure optimal performance.
• Stay up-to-date with the latest advancements in AI / ML and suggest improvements to existing solutions.
• Document models, experiments, and best practices for reproducibility and collaboration.

Required Qualifications :

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• Strong programming skills in Python, R, or Java.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Hands-on experience with data preprocessing, feature engineering, and model optimization.
• Proficiency in working with cloud platforms (AWS, Azure, GCP) and ML services.
• Knowledge of database systems (SQL, NoSQL) and big data technologies (Spark, Hadoop) is a plus.
• Experience with MLOps practices, model deployment, and containerization (Docker, Kubernetes).
• Familiarity with version control systems such as Git.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications :

• Experience in NLP, computer vision, or reinforcement learning.
• Understanding of data engineering and pipeline development.
• Knowledge of distributed computing and parallel processing techniques.
• Experience with model explainability and interpretability techniques.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Software Development

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