AI & ML Engineer

BlackStone eIT; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading computer software company in Abu Dhabi seeks an AI & ML Engineer to enhance product offerings through advanced machine learning algorithms. The role involves collaboration with diverse teams, leveraging state-of-the-art technologies to drive data-driven decisions. This opportunity promises high-impact projects and growth in AI/ML innovations.

Qualifications

• Proven experience as an AI & ML Engineer with at least 3 years.
• Strong understanding of AI techniques and algorithms.
• Proficiency in Python, Java, or R.

Responsibilities

• Develop and implement AI and ML algorithms.
• Collaborate with cross-functional teams to derive insights.
• Enhance product offerings through data-driven decision making.

Skills

Machine Learning Algorithms

Deep Learning

Natural Language Processing

Computer Vision

Problem Solving

Communication Skills

Education

Degree in Computer Science, Mathematics, Data Science

Tools

TensorFlow

Keras

PyTorch

Hadoop

Spark

Job description

BlackStone eIT, a leading computer software company, is looking for a skilled and motivated AI & ML Engineer to join our innovative team. In this role, you will be at the forefront of developing and implementing state-of-the-art artificial intelligence (AI) and machine learning (ML) algorithms to enhance our product offerings and optimize business functions. You will work collaboratively with data scientists, software engineers, and product teams to translate complex data into actionable insights and effective machine learning models.

Your expertise will play a pivotal role in driving data-driven decision-making within the organization. This is an exciting opportunity to work on high-impact projects that leverage the latest advancements in AI and ML technologies.

Requirements

• Proven experience as an AI & ML Engineer or in a related field, with at least 3 years of experience.
• Strong understanding of machine learning algorithms, deep learning, natural language processing, and computer vision techniques.
• Proficiency in programming languages such as Python, Java, or R.
• Hands-on experience with ML frameworks and libraries (TensorFlow, Keras, PyTorch, etc.).
• Experience with data preprocessing, feature extraction, and model evaluation.
• Background in statistics and mathematics to enhance algorithm performance.
• Ability to work with large datasets and experience with big data technologies (Hadoop, Spark, etc.) is a plus.
• Excellent problem-solving skills, attention to detail, and a collaborative attitude.
• Strong verbal and written communication skills to convey technical concepts to non-technical stakeholders.
• A degree in Computer Science, Mathematics, Data Science, or a related field is preferred.