Senior MLOps Engineer
Dubai, United Arab Emirates
Job Details
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Job Description
To qualify, you must have
A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Minimum of 5 years of professional experience in MLOps, DevOps, or a related field.
Proficiency in containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
Strong expertise in CI/CD pipelines and version control (e.g., Git).
Experience with orchestration tools like Apache Airflow.
Solid knowledge of machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Scripting and programming skills in Python and familiarity with automation tools.
Ideally, You'll Also Need
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Problem-solving mindset and the ability to think creatively to find innovative solutions.
A passion for artificial intelligence and cloud computing with a strong desire to make a positive impact in the industry.
What We Look For
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in.
You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions.
Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
What Working At Inception Offers
Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
Work-Life: A hybrid work policy to strike the perfect balance between office and home.
Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Minimum of 5 years of professional experience in MLOps, DevOps, or a related field.
Proficiency in containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
Strong expertise in CI/CD pipelines and version control (e.g., Git).
Experience with orchestration tools like Apache Airflow.
Solid knowledge of machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Scripting and programming skills in Python and familiarity with automation tools.
Ideally, You'll Also Need
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Problem-solving mindset and the ability to think creatively to find innovative solutions.
A passion for artificial intelligence and cloud computing with a strong desire to make a positive impact in the industry.
What We Look For
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in.
You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions.
Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
What Working At Inception Offers
Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
Work-Life: A hybrid work policy to strike the perfect balance between office and home.
Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
