374 AI Machine Learning Engineer jobs in Bahrain
AI/Machine Learning Engineer
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AI/Machine Learning Engineer
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- Designing, developing, and implementing machine learning algorithms and models for various applications.
- Collecting, cleaning, and pre-processing large datasets for model training.
- Evaluating and optimizing model performance using appropriate metrics.
- Deploying machine learning models into production environments and monitoring their performance.
- Collaborating with data scientists, software engineers, and product managers to integrate AI solutions.
- Researching and staying current with the latest advancements in AI and machine learning.
- Developing and maintaining ML pipelines, including data ingestion, feature engineering, and model deployment.
- Building and testing predictive models, classification algorithms, and recommendation systems.
- Utilizing deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Ensuring the scalability, efficiency, and reliability of AI solutions.
- Documenting model architectures, code, and experimental results.
- Contributing to the development of AI strategies and roadmaps.
We are seeking candidates with a Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. A minimum of 4-6 years of professional experience in machine learning engineering or a related role is required. Strong programming skills in Python, along with experience in ML libraries (e.g., Scikit-learn, Pandas, NumPy), are essential. Proven experience with deep learning frameworks and cloud platforms (AWS, Azure, GCP) is highly desirable. Excellent understanding of statistical modeling, data mining, and algorithm development is critical. Strong analytical and problem-solving skills, coupled with the ability to work independently and as part of a team, are paramount. Experience with big data technologies (e.g., Spark, Hadoop) is a plus. This is an exceptional opportunity to work at the forefront of AI and make a significant impact on developing innovative technological solutions.
AI/Machine Learning Engineer - Data Science
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AI/Machine Learning Engineer (Remote)
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Senior AI/Machine Learning Engineer
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Principal AI/Machine Learning Engineer
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Responsibilities:
- Leading the design, development, and implementation of advanced machine learning models and algorithms.
- Architecting scalable and robust AI systems for various applications, including data analysis, predictive modeling, and natural language processing.
- Collaborating with data scientists, software engineers, and product managers to integrate AI solutions into existing and new products.
- Researching and evaluating new AI technologies, frameworks, and methodologies to ensure the company remains at the forefront of the field.
- Optimizing ML models for performance, efficiency, and deployment in production environments.
- Developing and maintaining MLOps pipelines for model training, deployment, and monitoring.
- Mentoring junior engineers and contributing to the technical growth of the AI/ML team.
- Communicating complex technical concepts to both technical and non-technical stakeholders.
- Contributing to the company's intellectual property through innovation and patents.
- Ensuring the ethical and responsible development and deployment of AI systems.
Requirements:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- A minimum of 10+ years of experience in AI/ML engineering, with a significant focus on leading complex projects.
- Expertise in programming languages such as Python, Java, or C++.
- Proficiency with ML frameworks like TensorFlow, PyTorch, scikit-learn, and Keras.
- Strong understanding of data structures, algorithms, and software design principles.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
- Proven track record of deploying machine learning models into production environments.
- Excellent problem-solving skills and the ability to tackle challenging technical problems.
- Strong communication and leadership abilities.
This role offers an exciting opportunity to work on transformative AI projects and advance your career in emerging technologies. The position is located in Muharraq, Muharraq, BH .
Principal AI / Machine Learning Engineer
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Key responsibilities include designing, developing, and deploying sophisticated machine learning algorithms and predictive models, conducting in-depth data analysis, and identifying opportunities for AI-driven solutions across various business units. You will stay abreast of the latest research and advancements in AI/ML, evaluating and integrating new technologies to maintain a competitive edge. The ideal candidate possesses exceptional expertise in various ML techniques, deep learning frameworks, and programming languages relevant to AI development. Strong leadership qualities, excellent communication skills, and a passion for innovation are critical for this role. You will play a pivotal role in shaping the company's AI strategy and fostering a culture of data-driven decision-making.
A Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field is required. A minimum of 10 years of experience in AI/ML engineering, with at least 5 years in a senior or lead role, is essential. Proven experience in developing and deploying production-level AI solutions using frameworks like TensorFlow, PyTorch, or scikit-learn is a must. Strong proficiency in Python and experience with cloud platforms (AWS, Azure, GCP) and big data technologies are also required. This is a unique opportunity to work on groundbreaking projects in Tubli, Capital, BH , and make a significant impact in the rapidly evolving field of artificial intelligence.
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Lead AI/Machine Learning Engineer
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Key responsibilities include:
- Leading the design, development, and implementation of advanced AI and ML models and algorithms.
- Developing and deploying machine learning solutions for various applications, including data analysis, predictive modeling, natural language processing, and computer vision.
- Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver impactful results.
- Researching and evaluating new AI/ML technologies, frameworks, and tools to enhance our client's capabilities.
- Mentoring and guiding junior engineers, fostering a culture of technical excellence and innovation.
- Ensuring the scalability, reliability, and performance of AI/ML systems.
- Developing data pipelines, feature engineering strategies, and model evaluation metrics.
- Staying abreast of the latest research and advancements in the field of artificial intelligence and machine learning.
- Translating business requirements into technical specifications and actionable ML projects.
- Contributing to the company's intellectual property through publications or patents.
- Managing MLOps pipelines for model deployment, monitoring, and retraining.
- Communicating complex technical concepts to both technical and non-technical stakeholders.
The ideal candidate will possess a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 8 years of experience in AI/ML engineering, with a proven track record of successfully delivering complex projects, is required. Expertise in programming languages such as Python, and proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) are essential. Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are paramount. Strong leadership and communication abilities, with the capacity to lead and inspire a team, are critical. Experience with big data technologies (e.g., Spark, Hadoop) is a plus. This is an exceptional opportunity to shape the future of AI and make significant contributions to groundbreaking technologies.
AI/Machine Learning Engineer - Computer Vision
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Senior AI/Machine Learning Engineer (Computer Vision)
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Key Responsibilities:
- Develop and implement state-of-the-art computer vision algorithms for tasks such as object detection, image segmentation, and facial recognition.
- Design and train deep learning models using frameworks like TensorFlow, PyTorch, and Keras.
- Process and analyze large-scale image and video datasets.
- Optimize model performance and deploy solutions to production environments.
- Conduct research on new AI and machine learning techniques.
- Collaborate with cross-functional teams to integrate AI capabilities into products.
- Stay current with the latest advancements in computer vision and deep learning research.
- Write clean, efficient, and well-documented code.
- Mentor junior engineers and contribute to team knowledge sharing.
- Evaluate and select appropriate datasets and tools for machine learning projects.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.
- Minimum of 5 years of professional experience in AI/Machine Learning, with a strong emphasis on Computer Vision.
- Proficiency in Python and relevant ML libraries (e.g., OpenCV, Scikit-learn).
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure, GCP) and ML deployment strategies.
- Strong understanding of image processing techniques and mathematical principles behind ML.
- Excellent problem-solving and analytical skills.
- Ability to work independently and collaboratively in a remote setting.
- Strong communication skills for explaining complex technical concepts.