Published on
Dec 15, 2023
Published on
Dec 15, 2023
Published on
Dec 15, 2023
Published on
Dec 15, 2023
Published on
Dec 15, 2023
Published on
Dec 15, 2023
Published on
Dec 15, 2023
Published on
Dec 15, 2023
MLOps Engineer
MLOps Engineer
MLOps Engineer
MLOps Engineer
MLOps Engineer
Onsite
/
Dubai
/
Series A ($47m)
/
$80k - $100k
Onsite
/
Dubai
/
Series A ($47m)
/
$80k - $100k
Onsite
/
Dubai
/
$80k - $100k
/
101 - 250 Employees
Onsite
/
Dubai
/
$80k - $100k
/
101 - 250 Employees
Onsite
/
Dubai
/
$80k - $100k
/
101 - 250 Employees
The Role
Business & Product Context: Engage deeply with product and operations teams to understand the overarching business context, ensuring that ML solutions are not only technically sound but also aligned with product objectives and operational workflows.
Collaborative Development: Partner with product managers, business leaders, and software engineers to seamlessly build and integrate ML models into the core platform.
Data Engineering: Build data processing, automated feature extraction, feature store management, and production-level data pipelines.
Deployment & Integration: Collaborate with software and devops engineers to deploy and integrate ML models into production, ensuring their compatibility and performance.
What we are looking for
Expertise in ML frameworks (e.g., TensorFlow, PyTorch), and ML workflow frameworks such as MLflow and Kubeflow. Proficiency in leveraging cloud platforms like AWS, Azure, or GCP is a plus.
Hands-on experience developing, deploying, and optimizing ML models
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
In-depth understanding of essential algorithms, data structures, and ML techniques, ensuring the selection of the most suitable methods for specific business challenges.
Capability in integrating ML models into production systems using platforms like Vertex AI, Amazon SageMaker, or TensorFlow Serving
Understanding of microservices architecture and API integrations
Your benefits:
Picture perfect workplace: A modern and spacious office in the heart of downtown Dubai, with magnificent views of the Burj Khalifa right from your desk. Lots of restaurants, cafes, supermarkets within a 5 min walk!
“The Garden”: Our collaborative space is perfect for fostering an engaging atmosphere. Have a look at one of the recent events we held in conjunction with International Women’s Day
"AMA" Fortnightly Fridays: To keep the inspiration flowing, we bring the fun with "Ask Me Anything" sessions featuring one of our executives. Dive into lively conversations, gain valuable insights and connect with our leaders.
Book Lovers Corner: Discover the reading corner where a variety of books and resources awaits to pique your interest and elevate your learning experience.
Eats & Treats: Start your week right with our delicious Monday breakfast! Throughout the week, enjoy our in-house barista's expertly crafted coffee, alongside a supply of fresh fruits to keep your energy up.
Not in Dubai yet? We’ve got you covered! Start your new chapter effortlessly with our comprehensive relocation package.
The Role
Business & Product Context: Engage deeply with product and operations teams to understand the overarching business context, ensuring that ML solutions are not only technically sound but also aligned with product objectives and operational workflows.
Collaborative Development: Partner with product managers, business leaders, and software engineers to seamlessly build and integrate ML models into the core platform.
Data Engineering: Build data processing, automated feature extraction, feature store management, and production-level data pipelines.
Deployment & Integration: Collaborate with software and devops engineers to deploy and integrate ML models into production, ensuring their compatibility and performance.
What we are looking for
Expertise in ML frameworks (e.g., TensorFlow, PyTorch), and ML workflow frameworks such as MLflow and Kubeflow. Proficiency in leveraging cloud platforms like AWS, Azure, or GCP is a plus.
Hands-on experience developing, deploying, and optimizing ML models
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
In-depth understanding of essential algorithms, data structures, and ML techniques, ensuring the selection of the most suitable methods for specific business challenges.
Capability in integrating ML models into production systems using platforms like Vertex AI, Amazon SageMaker, or TensorFlow Serving
Understanding of microservices architecture and API integrations
Your benefits:
Picture perfect workplace: A modern and spacious office in the heart of downtown Dubai, with magnificent views of the Burj Khalifa right from your desk. Lots of restaurants, cafes, supermarkets within a 5 min walk!
“The Garden”: Our collaborative space is perfect for fostering an engaging atmosphere. Have a look at one of the recent events we held in conjunction with International Women’s Day
"AMA" Fortnightly Fridays: To keep the inspiration flowing, we bring the fun with "Ask Me Anything" sessions featuring one of our executives. Dive into lively conversations, gain valuable insights and connect with our leaders.
Book Lovers Corner: Discover the reading corner where a variety of books and resources awaits to pique your interest and elevate your learning experience.
Eats & Treats: Start your week right with our delicious Monday breakfast! Throughout the week, enjoy our in-house barista's expertly crafted coffee, alongside a supply of fresh fruits to keep your energy up.
Not in Dubai yet? We’ve got you covered! Start your new chapter effortlessly with our comprehensive relocation package.
The Role
Business & Product Context: Engage deeply with product and operations teams to understand the overarching business context, ensuring that ML solutions are not only technically sound but also aligned with product objectives and operational workflows.
Collaborative Development: Partner with product managers, business leaders, and software engineers to seamlessly build and integrate ML models into the core platform.
Data Engineering: Build data processing, automated feature extraction, feature store management, and production-level data pipelines.
Deployment & Integration: Collaborate with software and devops engineers to deploy and integrate ML models into production, ensuring their compatibility and performance.
What we are looking for
Expertise in ML frameworks (e.g., TensorFlow, PyTorch), and ML workflow frameworks such as MLflow and Kubeflow. Proficiency in leveraging cloud platforms like AWS, Azure, or GCP is a plus.
Hands-on experience developing, deploying, and optimizing ML models
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
In-depth understanding of essential algorithms, data structures, and ML techniques, ensuring the selection of the most suitable methods for specific business challenges.
Capability in integrating ML models into production systems using platforms like Vertex AI, Amazon SageMaker, or TensorFlow Serving
Understanding of microservices architecture and API integrations
Your benefits:
Picture perfect workplace: A modern and spacious office in the heart of downtown Dubai, with magnificent views of the Burj Khalifa right from your desk. Lots of restaurants, cafes, supermarkets within a 5 min walk!
“The Garden”: Our collaborative space is perfect for fostering an engaging atmosphere. Have a look at one of the recent events we held in conjunction with International Women’s Day
"AMA" Fortnightly Fridays: To keep the inspiration flowing, we bring the fun with "Ask Me Anything" sessions featuring one of our executives. Dive into lively conversations, gain valuable insights and connect with our leaders.
Book Lovers Corner: Discover the reading corner where a variety of books and resources awaits to pique your interest and elevate your learning experience.
Eats & Treats: Start your week right with our delicious Monday breakfast! Throughout the week, enjoy our in-house barista's expertly crafted coffee, alongside a supply of fresh fruits to keep your energy up.
Not in Dubai yet? We’ve got you covered! Start your new chapter effortlessly with our comprehensive relocation package.
The Role
Business & Product Context: Engage deeply with product and operations teams to understand the overarching business context, ensuring that ML solutions are not only technically sound but also aligned with product objectives and operational workflows.
Collaborative Development: Partner with product managers, business leaders, and software engineers to seamlessly build and integrate ML models into the core platform.
Data Engineering: Build data processing, automated feature extraction, feature store management, and production-level data pipelines.
Deployment & Integration: Collaborate with software and devops engineers to deploy and integrate ML models into production, ensuring their compatibility and performance.
What we are looking for
Expertise in ML frameworks (e.g., TensorFlow, PyTorch), and ML workflow frameworks such as MLflow and Kubeflow. Proficiency in leveraging cloud platforms like AWS, Azure, or GCP is a plus.
Hands-on experience developing, deploying, and optimizing ML models
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
In-depth understanding of essential algorithms, data structures, and ML techniques, ensuring the selection of the most suitable methods for specific business challenges.
Capability in integrating ML models into production systems using platforms like Vertex AI, Amazon SageMaker, or TensorFlow Serving
Understanding of microservices architecture and API integrations
Your benefits:
Picture perfect workplace: A modern and spacious office in the heart of downtown Dubai, with magnificent views of the Burj Khalifa right from your desk. Lots of restaurants, cafes, supermarkets within a 5 min walk!
“The Garden”: Our collaborative space is perfect for fostering an engaging atmosphere. Have a look at one of the recent events we held in conjunction with International Women’s Day
"AMA" Fortnightly Fridays: To keep the inspiration flowing, we bring the fun with "Ask Me Anything" sessions featuring one of our executives. Dive into lively conversations, gain valuable insights and connect with our leaders.
Book Lovers Corner: Discover the reading corner where a variety of books and resources awaits to pique your interest and elevate your learning experience.
Eats & Treats: Start your week right with our delicious Monday breakfast! Throughout the week, enjoy our in-house barista's expertly crafted coffee, alongside a supply of fresh fruits to keep your energy up.
Not in Dubai yet? We’ve got you covered! Start your new chapter effortlessly with our comprehensive relocation package.
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