146 Image Analysis jobs in Bahrain
Machine Learning Engineer
00755 Northern, Northern
BHD130000 Annually
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Our client, a leader in leveraging cutting-edge AI, is seeking a talented Machine Learning Engineer to join their innovative team. This fully remote role will focus on the design, development, and deployment of machine learning models and systems that solve complex business problems. You will work closely with data scientists and software engineers to bring theoretical models into production-ready solutions. Responsibilities include building and maintaining scalable ML pipelines, developing robust data preprocessing and feature engineering techniques, implementing and optimizing ML algorithms, conducting rigorous A/B testing and performance evaluation, and deploying models into production environments using cloud platforms and containerization technologies. The ideal candidate will possess a strong background in software engineering principles, a deep understanding of machine learning concepts, and practical experience with ML frameworks such as TensorFlow or PyTorch. Proficiency in programming languages like Python and experience with cloud platforms (AWS, Azure, GCP) are essential. We are looking for a candidate who is passionate about automation, data-driven decision-making, and creating impactful AI solutions. Strong problem-solving skills, excellent communication, and the ability to collaborate effectively in a remote setting are crucial. Join our dynamic team and contribute to developing next-generation AI technologies that are transforming industries. This is an excellent opportunity to work on challenging and rewarding projects, pushing the boundaries of what's possible with machine learning. Your expertise will be vital in ensuring our AI initiatives are not only innovative but also scalable and reliable, driving tangible business value.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, build, and maintain production-grade machine learning systems and pipelines.
- Develop and implement data processing, feature engineering, and model training strategies.
- Optimize ML models for performance, scalability, and efficiency.
- Deploy ML models into production environments using CI/CD and MLOps practices.
- Collaborate with data scientists to translate research models into deployable applications.
- Monitor and maintain deployed ML models, ensuring accuracy and reliability.
- Stay up-to-date with the latest advancements in ML research and technology.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field.
- 3+ years of experience in machine learning engineering or a similar role.
- Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, XGBoost).
- Proficiency with deep learning frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of software development best practices.
- Excellent problem-solving and analytical skills.
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0
Machine Learning Engineer
1010 Bilad Al Qadeem, Capital
BHD110000 Annually
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Our client is seeking a talented and experienced Machine Learning Engineer to contribute to their innovative AI development initiatives in **Tubli, Capital, BH**. This role is essential for designing, building, and deploying scalable machine learning models and systems that power advanced AI applications. The Machine Learning Engineer will work closely with data scientists and software engineers to bring cutting-edge AI solutions from concept to production.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
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1
Machine Learning Engineer - Computer Vision
20775 Northern, Northern
BHD110000 Annually
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Our client, a leader in AI and Emerging Technologies, is looking for a skilled Machine Learning Engineer specializing in Computer Vision to join their innovative team in Shakhura, Northern, BH . This role will involve developing and deploying cutting-edge computer vision models and solutions that drive significant advancements in our client's product offerings. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with practical experience in applying these techniques to real-world computer vision problems. Responsibilities include designing, implementing, and evaluating machine learning models for tasks such as object detection, image segmentation, and facial recognition; developing and optimizing deep learning architectures (e.g., CNNs, Transformers); preparing and processing large image and video datasets; collaborating with cross-functional teams, including software engineers and product managers, to integrate ML solutions into production systems; conducting research on state-of-the-art computer vision techniques and algorithms; writing high-quality, production-ready code; and staying current with the latest research and industry trends. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a specialization in machine learning or computer vision, is preferred. Proven experience with ML frameworks like TensorFlow, PyTorch, or Keras, and proficiency in Python are essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a strong advantage. Excellent problem-solving abilities, strong analytical skills, and effective communication are required. This hybrid role balances focused research and development with collaborative team efforts, ensuring impactful innovation.
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2
Senior Machine Learning Engineer - Computer Vision
500 Tubli
BHD130000 Annually
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Our client is looking for a highly skilled Senior Machine Learning Engineer with a specialization in Computer Vision to join their innovative AI team in A'ali, Northern, BH . This role is pivotal in developing and deploying cutting-edge computer vision models and solutions that power next-generation AI applications. You will be responsible for the entire ML lifecycle, from data preprocessing and model training to deployment and optimization. The ideal candidate will have a strong theoretical foundation in machine learning and deep learning, combined with practical experience in building and scaling computer vision systems. You will work with large datasets, state-of-the-art algorithms, and collaborate with a talented team of engineers and researchers. This hybrid position offers the opportunity to work on challenging problems and make significant contributions to the field of AI.
Responsibilities:
Qualifications:
This role is based in our client's facility in A'ali, Northern, BH , with a flexible hybrid work schedule. Be part of a team driving the future of artificial intelligence.
Responsibilities:
- Design, develop, and implement advanced machine learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
- Preprocess and manage large-scale image and video datasets.
- Train, evaluate, and optimize deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with software engineers to integrate ML models into existing applications and systems.
- Research and stay up-to-date with the latest advancements in computer vision and deep learning.
- Develop and maintain robust ML pipelines and infrastructure.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Contribute to the architectural design of AI systems.
- Mentor junior machine learning engineers and share knowledge within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related quantitative field with a focus on Machine Learning or Computer Vision.
- 5+ years of experience in machine learning engineering, with a strong emphasis on computer vision.
- Proven experience in building and deploying computer vision models in production.
- Proficiency in programming languages such as Python, C++, and relevant ML libraries (TensorFlow, PyTorch, OpenCV).
- Strong understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in computer vision.
- Experience with cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Experience with data augmentation and synthetic data generation is a plus.
- Familiarity with MLOps practices is highly desirable.
This role is based in our client's facility in A'ali, Northern, BH , with a flexible hybrid work schedule. Be part of a team driving the future of artificial intelligence.
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3
Senior Machine Learning Engineer - Computer Vision
702 Muharraq, Muharraq
BHD145000 Annually
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Our client, a leader in AI and emerging technologies, is seeking a highly accomplished Senior Machine Learning Engineer specializing in Computer Vision to join their globally distributed, fully remote team. This is a pivotal role where you will drive the development and deployment of state-of-the-art computer vision models and systems. You will tackle challenging problems related to image recognition, object detection, image segmentation, and video analysis, contributing to innovative products and research initiatives. The ideal candidate will have a deep theoretical understanding of machine learning and deep learning principles, with a proven track record of successfully applying these to real-world computer vision problems. Responsibilities include designing, implementing, and optimizing ML models, conducting experiments, evaluating performance, and working closely with software engineers to integrate solutions into production environments. This position is entirely remote, allowing you to contribute your expertise from anywhere while being part of a highly collaborative and dynamic team. We are looking for individuals with extensive experience in Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and computer vision libraries (e.g., OpenCV). Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is also highly valued. A strong background in linear algebra, calculus, and probability theory is essential. Candidates should be adept at problem-solving, possess excellent analytical skills, and be comfortable working independently in a remote setting. This is an exciting opportunity to shape the future of visual intelligence and work on projects that have a significant impact.
Key Duties:
Key Duties:
- Design, develop, and deploy advanced machine learning models for computer vision tasks.
- Implement and optimize deep learning architectures for image and video analysis.
- Conduct rigorous experimentation and model evaluation to ensure high performance.
- Collaborate with software engineers to integrate ML models into production systems.
- Develop and maintain efficient data pipelines for training and inference.
- Stay current with the latest research and advancements in computer vision and ML.
- Contribute to the company's research and development efforts through innovation and problem-solving.
- Write clean, well-documented, and maintainable code in Python.
- Work with various deep learning frameworks and libraries.
- Leverage cloud computing platforms for model training and deployment.
- Troubleshoot and debug complex ML systems.
- Mentor junior engineers and share knowledge within the team.
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4
Remote Machine Learning Engineer - Computer Vision
1051 Tubli
BHD90000 Annually
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Posted 1 day ago
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Our client is seeking a highly skilled and innovative Remote Machine Learning Engineer specializing in Computer Vision to join their advanced research and development team. This is a fully remote position, offering the flexibility to work from anywhere. You will be at the forefront of developing and deploying state-of-the-art computer vision models and algorithms for a variety of groundbreaking applications. Your responsibilities will include designing, implementing, and optimizing deep learning models for image recognition, object detection, segmentation, and video analysis. You will work with large datasets, ensuring data quality, and developing robust pipelines for model training and evaluation. Collaboration with other machine learning engineers, data scientists, and software developers will be crucial to integrate these models into production systems. The ideal candidate will have a strong foundation in machine learning, deep learning, and computer vision principles, coupled with practical experience in building and deploying CV models. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and tools for MLOps is highly desirable. Excellent analytical, problem-solving, and debugging skills are a must. As this is a remote role, you should possess exceptional self-discipline, strong communication skills, and the ability to work effectively in a distributed team environment. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field is preferred, along with a minimum of 3 years of relevant industry experience. If you are passionate about pushing the boundaries of computer vision and thrive in a challenging, remote work setting, we encourage you to apply.
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5
Senior Machine Learning Engineer - Computer Vision
233 Al Seef
BHD115000 Annually
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Posted 1 day ago
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Job Description
Our client is at the forefront of developing groundbreaking AI solutions that are transforming industries. They are seeking an exceptionally talented Senior Machine Learning Engineer specializing in Computer Vision to drive the innovation and implementation of their next-generation visual intelligence platforms. This role offers a unique opportunity to work with cutting-edge technologies, massive datasets, and a world-class team of researchers and engineers. You will be responsible for the entire lifecycle of machine learning models, from data acquisition and preprocessing to model development, training, evaluation, and deployment. The ideal candidate possesses a deep theoretical understanding of deep learning and computer vision algorithms, coupled with practical experience in building and deploying production-ready ML systems.
Responsibilities:
Qualifications:
This role is based in Salmabad, Northern, BH , with a hybrid work model. Join our client and shape the future of AI!
Responsibilities:
- Design, develop, train, and evaluate state-of-the-art computer vision models for tasks such as object detection, image segmentation, facial recognition, and scene understanding.
- Implement and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, and Keras.
- Work with large-scale image and video datasets, including data augmentation, curation, and labeling strategies.
- Develop robust data pipelines for efficient data ingestion, processing, and management.
- Deploy machine learning models into production environments, ensuring scalability, performance, and reliability.
- Collaborate closely with product managers, software engineers, and domain experts to define project requirements and translate them into ML solutions.
- Stay abreast of the latest research and advancements in computer vision and deep learning, and apply them to solve real-world problems.
- Conduct rigorous experimentation, model validation, and A/B testing to continuously improve model performance.
- Optimize model inference speed and resource utilization for deployment on various platforms (cloud, edge devices).
- Contribute to the development of MLOps best practices for automated model training, deployment, and monitoring.
- Mentor junior ML engineers and contribute to the team's technical growth.
- Write clean, well-documented, and maintainable code.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning, with a strong specialization in computer vision.
- Proven track record of developing and deploying production-level computer vision models.
- Proficiency in Python and experience with core ML libraries (e.g., NumPy, SciPy, Pandas).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of classical computer vision techniques (e.g., SIFT, SURF, feature matching) and modern deep learning approaches (CNNs, RNNs, Transformers).
- Experience with data processing and storage solutions for large datasets.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to articulate complex technical concepts effectively.
- Experience with MLOps tools and practices is a significant plus.
This role is based in Salmabad, Northern, BH , with a hybrid work model. Join our client and shape the future of AI!
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6
Lead Machine Learning Engineer
678 Tubli
BHD120000 Annually
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Our client is seeking an innovative and experienced Lead Machine Learning Engineer to spearhead the development and deployment of cutting-edge AI solutions. This is a critical role where you will lead a team of talented engineers in designing, building, and optimizing machine learning models that drive business innovation and deliver significant value. You will be responsible for the end-to-end lifecycle of ML projects, from data preprocessing and feature engineering to model training, evaluation, and deployment into production environments. The ideal candidate will have a profound understanding of various machine learning algorithms, deep learning frameworks, and statistical modeling techniques. You should possess strong programming skills in languages like Python, coupled with extensive experience using ML libraries such as TensorFlow, PyTorch, and scikit-learn. We are looking for a strategic thinker with a proven track record of delivering robust and scalable ML systems. You will mentor junior engineers, foster a collaborative research environment, and stay at the forefront of advancements in AI and machine learning. Your expertise will be instrumental in identifying new opportunities for applying ML to solve complex business challenges. This role requires excellent problem-solving skills, strong analytical capabilities, and the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You will play a key role in shaping the future of our AI capabilities and driving data-driven decision-making across the organization. The ability to research, experiment, and implement novel approaches to challenging problems is essential.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of machine learning models.
- Manage and mentor a team of machine learning engineers.
- Develop and implement data preprocessing and feature engineering pipelines.
- Train, evaluate, and optimize ML models for performance and scalability.
- Deploy ML models into production environments using MLOps best practices.
- Conduct research on new ML algorithms and technologies.
- Collaborate with data scientists and software engineers to integrate ML solutions.
- Ensure the ethical and responsible use of AI and ML.
- Monitor and maintain deployed ML models.
- Communicate technical findings and recommendations to stakeholders.
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
- 5+ years of experience in machine learning engineering or a related role.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of ML algorithms, deep learning, and statistical modeling.
- Experience with MLOps and deploying models to production.
- Experience with cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong leadership and team management abilities.
- Excellent communication and presentation skills.
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7
Senior Machine Learning Engineer
5542 Bilad Al Qadeem, Capital
BHD115000 Annually
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Our client is seeking a highly skilled Senior Machine Learning Engineer to join their innovative, fully remote AI team. This role is crucial for designing, building, and deploying advanced machine learning models and systems that drive intelligent solutions. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment into production environments. Your expertise will be essential in developing and optimizing algorithms for various applications, including predictive modeling, natural language processing, computer vision, and recommendation systems. The ideal candidate possesses a strong foundation in computer science, statistical modeling, and deep learning frameworks. You should have hands-on experience with Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). This position requires a proactive approach to problem-solving, a keen understanding of software engineering best practices, and the ability to translate complex business requirements into scalable ML solutions. You will collaborate closely with data scientists, software engineers, and product managers to ensure the successful integration of ML models into our products and services. As a remote team member, you must be highly motivated, possess excellent communication skills, and be adept at managing your workload independently while fostering strong team collaboration. This is an exceptional opportunity to work on challenging AI projects, contribute to cutting-edge research and development, and make a significant impact on our technological advancements. We are looking for a passionate engineer who thrives in a dynamic, remote environment and is eager to push the boundaries of machine learning applications.
Responsibilities:
Responsibilities:
- Design, develop, and deploy machine learning models and algorithms.
- Implement and maintain ML pipelines for data processing, model training, and evaluation.
- Optimize ML models for performance, scalability, and efficiency.
- Collaborate with data scientists and engineers to integrate ML solutions into production systems.
- Conduct research and experimentation to explore new ML techniques and applications.
- Ensure the quality, reliability, and maintainability of ML code and systems.
- Monitor and analyze the performance of deployed ML models.
- Stay current with the latest advancements in machine learning and AI.
- Document ML processes, models, and code.
- Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or data science.
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of various ML algorithms, including supervised, unsupervised, and deep learning.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Solid understanding of software engineering principles and version control (e.g., Git).
- Excellent problem-solving, analytical, and communication skills.
- Proven ability to work effectively in a remote, collaborative team environment.
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8
Principal Machine Learning Engineer
500 Al Daih, Northern
BHD140000 Annually
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Posted 2 days ago
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Job Description
Our client is at the forefront of innovation in AI and Emerging Technologies, seeking a highly experienced and visionary Principal Machine Learning Engineer to join their dynamic team in Budaiya, Northern, BH . This senior role will involve designing, developing, and deploying state-of-the-art machine learning models and systems that drive our client's cutting-edge products and services. The ideal candidate possesses a deep understanding of ML algorithms, software engineering best practices, and a proven ability to lead complex technical projects. You will be instrumental in shaping the future of AI applications.
Responsibilities:
Responsibilities:
- Lead the design, implementation, and optimization of advanced machine learning models and algorithms.
- Develop scalable and robust ML pipelines for data processing, feature engineering, model training, and deployment.
- Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
- Mentor junior machine learning engineers and contribute to team growth and knowledge sharing.
- Evaluate and integrate new ML technologies and tools to enhance our ML capabilities.
- Ensure the performance, scalability, and reliability of ML systems in production.
- Conduct research and stay abreast of the latest advancements in machine learning and artificial intelligence.
- Optimize model performance and resource utilization.
- Develop and maintain comprehensive documentation for ML models and systems.
- Contribute to architectural decisions and technical strategy for ML initiatives.
- Present findings and technical designs to cross-functional teams and leadership.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 7+ years of experience in machine learning engineering, with a significant focus on developing and deploying production-level ML systems.
- Expertise in core ML algorithms, including deep learning (CNNs, RNNs, Transformers), reinforcement learning, and classical ML techniques.
- Proficiency in programming languages such as Python, with extensive experience using ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of software engineering principles, including version control (Git), CI/CD, and testing methodologies.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Dask).
- Proven ability to architect and build scalable ML infrastructure.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and leadership skills, with the ability to guide technical teams.
- Experience with MLOps practices and tools is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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