16 Computer Vision jobs in the United Arab Emirates
COMPUTER VISION ENGINEER
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At Aravez, we are developing robot systems to help various industries like oil and gas, defense and aerospace, and training. Robot controller software engineers will be involved in robot controllers’ development for these applications.
To achieve such complicated tasks, the key is to develop software controllers and AI for robots.
A Senior Computer Vision Engineer will have experience leading research teams and hands-on experience with image processing and machine learning research.
The Engineer should be familiar with:
Algorithm development to control the robot operation according to position, shape, etc. by performing image processing and image recognition using the camera mounted on the robot,
Technology development ensuring that robot operates stably without being influenced by the robot installation environment, and
Testing in development to improve quality by debugging work.
Required Skills and Experience- Demonstrated experience leading a research or development team.
- Ph.D. in robotics, computer science, or relevant field.
- Fluency in English conveying and discussing technical specifications and tasks to members.
- Over 5 years of experience in the field of computer vision.
- Experience with 2D/3D (2.5D) images.
- Experience with multiple machine learning algorithms including:
- A disciplined development process with training and testing.
- Preparing visual representation of research.
- Experience with image preprocessing techniques, such as noise removal and edge detection.
- Experience with rigid object recognition and tracking.
- Knowledge regarding localization of markers.
- Differential calculus and optimization.
- Python and C++.
- Object-oriented programming.
- Experience of having own technology deployed on products.
- Experience with deformable object recognition and tracking.
- Experience with Linux.
- Source code review.
- Automated testing.
- Speed optimization.
- Multithreading and messaging.
- Knowledge of camera, robot, and coordinate calibration.
Computer Vision - Assistant Professor Tenure-Track
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Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI Re.
MBZUAI is on a mission to become a global leader in artificial intelligence
At MBZUAI, you will collaborate with some of the brightest minds in AI. The
Working at MBZUAI means immersing yourself in the dynamic and cosmopolitan
MBZUAI strives to be a cutting-edge educational institution, and we invite
MBZUAI actively collaborates with government agencies, global tech companie
MBZUAI is committed to supporting groundbreaking research by providing acce
MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.
Academic Appointments: School of Computing: Computer Vision Location Open DateSep 01, 2025
DeadlineJul 31, 2026 at 11:59 PM Eastern Time
DescriptionMohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.
The Department of Computer Vision is expanding and invites Assistant Professor tenure-track faculty to apply. The Department of Computer Vision undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to, visual recognition and tracking, vision and language, large multimodal models, generative AI, responsible AI, 3D vision and SLAM. Applications ofcomputer vision that we target include: robotic vision and embodied AI; metaverse; environment and sustainability; inspection.
Why Join MBZUAI?
- Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
- Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
- Exceptional Benefits:
- Comprehensivehealth & life insurance
- Relocation supportfor international faculty
- State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
- Live in Abu Dhabi:World’s safest city, year-round sunshine, rich culture, and modern amenities
- Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers
This position requires a PhD in Computer Vision or a closely related field. We are seeking faculty in areas such as 3D computer vision, robotic vision, medical vision, and trustworthy and responsible AI. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.
Application InstructionsTo apply for this position, please submit the following:
- Statement of research vision and interests
- Statement of teaching philosophy and experience
- List of publications
- Reference letters or the names and contact details for three referees (where referee details are provided, each referee will be contact to upload their reference letters via Interfolio)
MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.
Be a part of AI’s future – apply today at MBZUAI!
#MBZUAI #careeropportunities #AI
Application ProcessThis institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity StatementMohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.
#J-18808-LjbffrComputer Vision - Associate/Full Professor Tenured
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Overview
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.
The Department of Computer Vision is expanding and invites Associate/Full Professor faculty to apply. The Department undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to, visual recognition and tracking, vision and language, large multimodal models, generative AI, responsible AI, 3D vision and SLAM. Applications of computer vision that we target include: robotic vision and embodied AI; metaverse; environment and sustainability; inspection.
Benefits- Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
- Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
- Exceptional Benefits:
- Comprehensive health & life insurance
- Relocation support for international faculty
- State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
- Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
- Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers
This position requires a PhD in Computer Vision or a closely related field. We are seeking faculty in areas such as 3D computer vision, robotic vision, medical vision, and trustworthy and responsible AI. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.
Application InstructionsTo apply for this position, please submit the following:
- Statement of research vision and interests
- Statement of teaching philosophy and experience
- List of publications
- Name and contact details for three referees will be requested at a later stage of the recruitment process. (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letters via Interfolio)
MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.
Be a part of AI’s future – apply today at MBZUAI!
#MBZUAI #careeropportunities #AI
Application ProcessThis institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Equal Employment OpportunityMohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.
Job detailsTitle: Computer Vision - Associate/Full Professor Tenured
MBZUAI is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI Re.
Be part of MBZUAI’s mission to become a global leader in artificial intelligence.
At MBZUAI, you will collaborate with some of the brightest minds in AI and contribute to a dynamic and cosmopolitan academic community.
#J-18808-LjbffrLead Machine Learning, Computer Vision Software Engineer
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Project description
Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large‑scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure.
Responsibilities- Work directly with computer vision perception engineers, and camera ISP engineers
- Define the image quality requirements for customer use cases
- Develop image processing algorithms to optimize camera image quality for performance improvement of computer vision applications
- Develop custom ML models for visual recognition and train them from scratch
- Quantize and prune ML models
- Evaluate data using relevant metrics to increase model performance
- Implement computer vision/image processing algorithms in fast/optimal C++ code
- Implement heuristic/math algorithms and probabilistic methods for camera AI
- Research existing C++ solutions for CV logic
- Develop cross‑platform C++ code
- Cover algorithms and CV code with unit tests
- Ramp up on new technologies related to CV/ML/algorithms (not R&D)
- Integrate machine learning modules into algorithms
- Bachelor's Degree or greater in Computer Science, Software Engineering, or related field
- 3‑5 years of experience developing computer vision applications/algorithms
- Participated in at least 2 image processing / computer vision projects and 1 productized
- Image processing / computer vision background/understanding
- Strong C/C++ experience
- Experience with OpenCV and ML frameworks such as PyTorch, TensorFlow, TensorFlow Lite
- Deep understanding of neural network architectures
- Experience working with embedded devices in C++ on Linux
- Good understanding of geometry (2D/3D) and algebra
- Desire to learn new technologies
- Desire to follow test‑driven development (in CV/ML as well)
- Experience with machine learning integration, inference engines
- General machine learning understanding
- Experience building for Android/Yocto
- Experience/understanding of OpenCL/cuD, or OpenGL/Vulkan (shaders) and desire to learn other SIMD languages
Manager of Artificial Intelligence
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Abu Dhabi, United Arab Emirates | Posted on 01/11/2025
Consultz is supporting our client, a well-renowned SWF in the region in their search for Manager of Artificial Intelligence .
To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.
To be successful in this role, the candidate should possess a deep technical understanding of AI and ML, with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.
Key Accountabilities- Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
- Implement scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
- Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
- Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
- Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
- Conduct research on advancements in AI models and solutions to influence the direction of the organization’s AI roadmap.
- Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
- Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
- Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
- Ensure adherence to best practices in AI/ML development, including reproducibility, testing, and code quality standards.
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Over 10 years of experience in the field, with a minimum of 5 years of experience as an AI Developer, with a strong focus on building and deploying machine learning models.
- Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
- Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
- Demonstrated experience in implementing ML models in real-world scenarios, with case studies or portfolio examples.
- Experience in improving model performance including optimization techniques, hyperparameter tuning, performance monitoring.
- Strong understanding of data structures, data modeling, and software architecture.
- Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
- Good understanding of data management principles, data warehousing, and business intelligence concepts.
Digitalization and Artificial Intelligence Engineer
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Title:
Digitalization and Artificial Intelligence EngineerBelong, Connect, Grow, with KBR!
The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.
KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.
We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor’s office for an Offshore client.
Job Title:Digitalization and Artificial Intelligence Engineer
Location: Madrid, Spain
Project: LZ LTDP-1
Department: Engineering / Digital Transformation
Reports To: Project Manager
Job Description:
Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.
Key Responsibilities:
Design & Engineering
- Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
- Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
- Identify and select appropriate digital and AI technologies for implementation.
Integration & Implementation
- Define and implement integration strategies with existing ADNOC systems such as Panorama .
- Ensure seamless integration of various digital solutions into a common user-friendly platform .
- Design plant facilities to accommodate selected digital and AI technologies.
Infrastructure & Compliance
- Identify required IT infrastructure and ensure compliance with:
- Wireless Infrastructure (AGES-SP-12-003)
- Wireless Instrumentation System (AGES-SP-04-019)
- Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD) .
Execution & Commissioning
- Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
- Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.
Technology & Innovation
- Promote adoption of edge computing and autonomous operation programs .
- Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
- Integrate drones and robotics as part of the digitalization scope.
Guidelines & Standards
- Ensure adherence to ADNOC’s AI P5 Guidelines and instrumentation standards:
- Wells & Surface Facilities Instrumentation
- Real-time Data Mapping
- Domain Data Requirements
- Collaborative Working Environment
- Change Management & Communication
- Telecommunication Infrastructure
Qualifications & Experience:
- Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
- Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
- Proven experience in EPC project environments and multi-disciplinary coordination.
- Strong knowledge of industrial automation, edge computing, and AI platforms.
- Familiarity with ADNOC systems and standards is highly desirable.
Skills & Competencies:
- Strong analytical and problem-solving skills.
- Excellent communication and documentation abilities.
- Project management and scheduling expertise.
- Ability to work collaboratively across disciplines and with subcontractors.
- Cybersecurity awareness and data governance understanding.
Artificial Intelligence in Action - Open Rank Faculty
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MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.
Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI
Location
Open Date
Oct 24, 2025
Description
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.
The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.
Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.
About MBZUAI – A Global Leader in AI Research and Education
Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.
The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.
Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.
Why Join MBZUAI?
- Top-tier compensation aligned with leading global academic institutions
- Research funding and academic freedom to foster groundbreaking AI advancements
- Exceptional benefits, including relocation support for international faculty
- State-of-the-art research facilities with advanced AI labs and high-performance computing
- Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
- Opportunities to collaborate with top AI researchers, tech firms, and policymakers
Qualifications
Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.
Application Instructions
To apply, please submit:
- Curriculum Vitae with key publications and teaching experience
- A statement of teaching philosophy, vision, and interests
- Contact details for three referees (reference letters will be uploaded via Interfolio)
MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.
Join us in shaping the future of AI – apply today at MBZUAI!
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Assistant Professor /Associate Professor in Artificial Intelligence (Visiting)
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Posting Date 05/Feb/2025 Expiry Date 08/Oct/2025 Job Reference Number: T09:31:33
Assistant Professor/Associate Professor in Artificial Intelligence (Visiting Faculty)
CATEGORY Faculty Members College of Computing & Informatics
College Computing & Informatics
Department Computer Science
Job Purpose
The College of Computing and Informatics atthe University of Sharjah invites qualified candidates from the academic ranksAssistant Professor / Associate Professor to apply for a faculty position in ArtificialIntelligence.
- Teach courses at the undergraduate and graduate level.
- Contribute to the research activities and initiate research projects leading to effective publications in journals with high ranking and patents
- Supervise postgraduate students' research projects and theses (Masters/PhD)
- Contribute to the development of courses and programs (both at the undergraduate and postgraduate levels) offered by the College of Computing and Informatics) and accreditation especially ABET Accreditation and CAA of UAE
- Perform all assigned administrative tasks by the program/department, college and university
- Mentor and advise students at all levels
- Ph.D. in the areas specified above or in closely related fields (From a reputable and internationally recognized University).
- Effective teaching experience in the above-mentioned fields or related ones at undergraduate and postgraduate levels.
- Strong record of accomplishment of research publications in refereed scholarly international journals with good impact factors.
- Experience in supervising Senior Design Projects, Master and PhD Theses/Dissertations
- Interest and experience in bridging links with industry and the community are also expected
Assistant/Associate Professor in Computer Science/Artificial Intelligence
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Reference Number: 381 Al Ain
Job Description:
- Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.
- Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.
- Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.
- Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.
- Provide timely, constructive feedback on student coursework, projects, and examinations.
- Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.
- Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.
- Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.
- Perform any additional duties as requested by the Program Director or Dean.
General Conditions:
- 4+ years of professional experience in teaching AI-related subjects at the university level.
- Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
- Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.
- Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.
- Research published in reputable journals indexed in the Scopus database.
- A passion for mentoring students in research and supporting their academic and professional growth.
Machine Learning Engineer
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Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.
Key Responsibilities
- Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
- Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
- Maintain Kubernetes clusters to ensure high availability and performance.
- Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
- Develop and implement strategies that optimize efficiency and data quality.
Qualifications
- Minimum of 3 years of experience in MLOps or a related field.
- Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
- Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
- Experience in deploying AI models and managing their lifecycle.
- Proficiency in Python for scripting and automation.
- Prior experience in addressing scalability and pricing concerns in ML operations.
Skills
- Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.
If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!
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