Sr. AI/ML Engineer - Doha, , Qatar
منذ يوم

وصف الوظيفة
<\/h3>
Job Summary<\/span>
<\/h3>
The Sr. AI/ML Engineer supports the development and implementation of AI/ML models and solutions to drive business innovation and efficiency. This role involves developing and validating machine learning models, deep learning algorithms, and statistical analyses, collaborating with cross -functional teams, and ensuring the quality and impact of AI/ML solutions.<\/span>
<\/p>
Responsibilities and Duties<\/span>
<\/h3>- Support the development and implementation
of AI/ML projects, including the design and development of models and
algorithms.<\/span><\/span>
<\/span><\/span><\/li> - Collaborate with stakeholders to understand
business requirements and translate them into AI/ML solutions.<\/span><\/span>
<\/span><\/span><\/li> - Develop and validate machine learning
models, deep learning algorithms, and statistical analyses.<\/span><\/span>
<\/span><\/span><\/li> - Ensure the accuracy, quality, and relevance
of AI/ML outputs.<\/span><\/span>
<\/span><\/span><\/li> - Stay updated with the latest advancements
in AI/ML technologies and best practices, applying them to enhance solutions.<\/span><\/span>
<\/span><\/span><\/li> - Mentor and provide guidance to junior AI/ML
engineers and other team members.<\/span><\/span>
<\/span><\/span><\/li> - Ensure compliance with data governance,
security, and regulatory standards in all AI/ML activities.<\/span><\/span>
<\/span><\/span><\/li> - Prepare and present AI/ML reports and
documentation to senior management and stakeholders.<\/span><\/span>
<\/span><\/span><\/li> - Participate in project planning and
contribute to the development of project timelines and deliverables.<\/span><\/span>
<\/span><\/span><\/li> - Perform other duties relevant to the job as
assigned by the Principal AI/ML Engineer or senior management.<\/span><\/span>
<\/span><\/li><\/ul><\/span>
<\/h3>
<\/div><\/span>
Requirements<\/h3>
<\/span><\/span><\/div>- Bachelor's degree in AI/ML Engineering,
Computer Science, or a related field<\/span><\/span>
<\/span><\/span><\/li> - Relevant certifications (e.g., Google Cloud
Professional Machine Learning Engineer, AWS Certified Machine Learning –
Specialty) are preferred<\/span><\/span>
<\/span><\/span><\/li> - Minimum of 5 years of experience in AI/ML
engineering or related fields<\/span><\/span>
<\/span><\/span><\/li> - Experience in developing and implementing
AI/ML solutions for AI or technology -focused products<\/span><\/span>
<\/span><\/span><\/li> - Strong programming skills in languages such
as Python<\/span><\/span>
<\/span><\/span><\/li> - Proficiency in AI/ML tools and frameworks
(e.g., TensorFlow, PyTorch)<\/span><\/span>
<\/span><\/span><\/li> - Excellent problem -solving and analytical
skills<\/span><\/span>
<\/span><\/span><\/li> - Strong communication and interpersonal
skills<\/span><\/span>
<\/span><\/span><\/li> - Attention to detail and commitment to
quality<\/span><\/span>
<\/span><\/span><\/li> - In -depth understanding of AI/ML principles,
machine learning algorithms, and statistical analysis<\/span><\/span>
<\/span><\/span><\/li> - Familiarity with AI/ML model deployment and
monitoring<\/span><\/span>
<\/span><\/span><\/li> - Knowledge of data governance, security, and
regulatory standards<\/span><\/span>
<\/span><\/span><\/li> - Ability to manage multiple tasks and
prioritize effectively<\/span><\/span>
<\/span><\/span><\/li> - Strong attention to detail and commitment
to delivering high -quality work<\/span><\/span>
<\/span><\/span><\/li> - Ability to work independently and as part
of a team<\/span><\/span>
<\/span><\/span><\/li> - Programming languages (e.g., Python)<\/span><\/span>
<\/span><\/span><\/li> - AI/ML tools and frameworks (e.g.,
TensorFlow, PyTorch)<\/span><\/span>
<\/span><\/span><\/li> - Data visualization tools (e.g., Tableau,
Power BI)<\/span><\/span>
<\/span><\/span><\/li> - Collaboration and communication tools
(e.g., Slack, Microsoft Teams)<\/span><\/span>
<\/span><\/span><\/li> - Data management systems (e.g., SQL, NoSQL
databases)<\/span><\/span>
<\/span><\/span><\/li><\/ul>
<\/div><\/span>
of AI/ML projects, including the design and development of models and
algorithms.<\/span><\/span>
<\/span><\/span><\/li>
business requirements and translate them into AI/ML solutions.<\/span><\/span>
<\/span><\/span><\/li>
models, deep learning algorithms, and statistical analyses.<\/span><\/span>
<\/span><\/span><\/li>
of AI/ML outputs.<\/span><\/span>
<\/span><\/span><\/li>
in AI/ML technologies and best practices, applying them to enhance solutions.<\/span><\/span>
<\/span><\/span><\/li>
engineers and other team members.<\/span><\/span>
<\/span><\/span><\/li>
security, and regulatory standards in all AI/ML activities.<\/span><\/span>
<\/span><\/span><\/li>
documentation to senior management and stakeholders.<\/span><\/span>
<\/span><\/span><\/li>
contribute to the development of project timelines and deliverables.<\/span><\/span>
<\/span><\/span><\/li>
assigned by the Principal AI/ML Engineer or senior management.<\/span><\/span>
<\/span><\/li><\/ul>
<\/span>
<\/h3>
<\/div><\/span>
Requirements<\/h3>
<\/span><\/span><\/div>- Bachelor's degree in AI/ML Engineering,
Computer Science, or a related field<\/span><\/span>
<\/span><\/span><\/li> - Relevant certifications (e.g., Google Cloud
Professional Machine Learning Engineer, AWS Certified Machine Learning –
Specialty) are preferred<\/span><\/span>
<\/span><\/span><\/li> - Minimum of 5 years of experience in AI/ML
engineering or related fields<\/span><\/span>
<\/span><\/span><\/li> - Experience in developing and implementing
AI/ML solutions for AI or technology -focused products<\/span><\/span>
<\/span><\/span><\/li> - Strong programming skills in languages such
as Python<\/span><\/span>
<\/span><\/span><\/li> - Proficiency in AI/ML tools and frameworks
(e.g., TensorFlow, PyTorch)<\/span><\/span>
<\/span><\/span><\/li> - Excellent problem -solving and analytical
skills<\/span><\/span>
<\/span><\/span><\/li> - Strong communication and interpersonal
skills<\/span><\/span>
<\/span><\/span><\/li> - Attention to detail and commitment to
quality<\/span><\/span>
<\/span><\/span><\/li> - In -depth understanding of AI/ML principles,
machine learning algorithms, and statistical analysis<\/span><\/span>
<\/span><\/span><\/li> - Familiarity with AI/ML model deployment and
monitoring<\/span><\/span>
<\/span><\/span><\/li> - Knowledge of data governance, security, and
regulatory standards<\/span><\/span>
<\/span><\/span><\/li> - Ability to manage multiple tasks and
prioritize effectively<\/span><\/span>
<\/span><\/span><\/li> - Strong attention to detail and commitment
to delivering high -quality work<\/span><\/span>
<\/span><\/span><\/li> - Ability to work independently and as part
of a team<\/span><\/span>
<\/span><\/span><\/li> - Programming languages (e.g., Python)<\/span><\/span>
<\/span><\/span><\/li> - AI/ML tools and frameworks (e.g.,
TensorFlow, PyTorch)<\/span><\/span>
<\/span><\/span><\/li> - Data visualization tools (e.g., Tableau,
Power BI)<\/span><\/span>
<\/span><\/span><\/li> - Collaboration and communication tools
(e.g., Slack, Microsoft Teams)<\/span><\/span>
<\/span><\/span><\/li> - Data management systems (e.g., SQL, NoSQL
databases)<\/span><\/span>
<\/span><\/span><\/li><\/ul>
<\/div><\/span>
Computer Science, or a related field<\/span><\/span>
<\/span><\/span><\/li>
Professional Machine Learning Engineer, AWS Certified Machine Learning –
Specialty) are preferred<\/span><\/span>
<\/span><\/span><\/li>
engineering or related fields<\/span><\/span>
<\/span><\/span><\/li>
AI/ML solutions for AI or technology -focused products<\/span><\/span>
<\/span><\/span><\/li>
as Python<\/span><\/span>
<\/span><\/span><\/li>
(e.g., TensorFlow, PyTorch)<\/span><\/span>
<\/span><\/span><\/li>
skills<\/span><\/span>
<\/span><\/span><\/li>
skills<\/span><\/span>
<\/span><\/span><\/li>
quality<\/span><\/span>
<\/span><\/span><\/li>
machine learning algorithms, and statistical analysis<\/span><\/span>
<\/span><\/span><\/li>
monitoring<\/span><\/span>
<\/span><\/span><\/li>
regulatory standards<\/span><\/span>
<\/span><\/span><\/li>
prioritize effectively<\/span><\/span>
<\/span><\/span><\/li>
to delivering high -quality work<\/span><\/span>
<\/span><\/span><\/li>
of a team<\/span><\/span>
<\/span><\/span><\/li>
<\/span><\/span><\/li>
TensorFlow, PyTorch)<\/span><\/span>
<\/span><\/span><\/li>
Power BI)<\/span><\/span>
<\/span><\/span><\/li>
(e.g., Slack, Microsoft Teams)<\/span><\/span>
<\/span><\/span><\/li>
databases)<\/span><\/span>
<\/span><\/span><\/li><\/ul>
<\/div><\/span>
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