director of machine learning

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Director
 
 
 
 
 Job Description &amp; Summary
 
 
 The Director (D) for AI &amp; Intelligent Automation will define and execute the enterprise strategy for Artificial Intelligence, Machine Learning, and Automation across business domains.
 
 This role blends technical excellence, strategic leadership, and commercial acumen, combining deep expertise in Python, .NET, and cloud-native architectures to deliver scalable, secure, and value-generating intelligent systems &ndash; leveraging the latest in thinking in the future agentic web.
 
 The MD/D will partner with C-suite executives, technology leaders, and global delivery teams to embed AI capabilities at scale&mdash;accelerating innovation, enhancing decision-making, and transforming enterprise operations.
 
 
 
 
 Key Leadership Responsibilities
 
 &nbsp;
 
 
 
 Strategic Vision &amp; Governance
 
 &nbsp;
 
 <ul>
 <li>
 Define the global AI &amp; Intelligent Automation strategy, ensuring alignment with enterprise digital transformation and innovation objectives.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Establish technical governance frameworks for AI ethics, model transparency, and Responsible AI implementationServe as the senior executive sponsor for AI architecture, operating model, and adoption roadmap.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 
 Experience delivering solutions leveraging
 
 </li>
 <li>
 Experience delivering intelligent, agentic solutions leveraging frameworks such as Semantic Kernel, LangGraph, CrewAI, LangChain, AutoGen and LlamaIndex, with a strong focus on orchestration, multi-agent collaboration, and scalable AI-driven architectures.
 </li>
 </ul>
 <ul>
 <li>
 Drive responsible integration of
 
 Large Language Models (LLMs)
 
 from &nbsp;multiple providers including deployment via
 
 Azure OpenAI Service, Amazon Bedrock
 
 or
 
 Vertex AI
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Implement
 
 retrieval-augmented generation (RAG)
 
 architectures and manage
 
 vector databases
 
 &nbsp;
 
 </li>
 </ul>
 
 Data Platform &amp; Engineering Excellence
 
 &nbsp;
 
 <ul>
 <li>
 Lead the evolution of the enterprise data estate, leveraging modern data platforms such as
 
 Databricks
 
 ,
 
 Snowflake
 
 ,
 
 Azure Synapse
 
 , AWS Glue/Redshift and
 
 BigQuery
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Oversee data engineering using
 
 Apache Airflow
 
 ,
 
 dbt
 
 , and
 
 Prefect
 
 , ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards (
 
 Collibra
 
 ,
 
 Alation
 
 ,
 
 Microsoft Purview
 
 ).&nbsp;
 </li>
 <li>
 Ensure high-quality, compliant data foundations for machine learning and analytics workloads.&nbsp;
 
 </li>
 </ul>
 
 Cloud, Infrastructure &amp; MLOps
 
 &nbsp;
 
 <ul>
 <li>
 Champion multi-cloud architecture and engineering excellence across
 
 Azure
 
 ,
 
 AWS
 
 , and
 
 GCP
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Lead enterprise MLOps initiatives using
 
 Azure ML
 
 ,
 
 SageMaker
 
 ,
 
 Vertex AI
 
 ,
 
 MLflow
 
 , and
 
 Kubeflow
 
 &nbsp;
 
 </li>
 </ul>
 
 Intelligent Automation &amp; Cognitive Services
 
 &nbsp;
 
 <ul>
 <li>
 Drive end-to-end intelligent automation using
 
 Power Automate
 
 ,
 
 Blue Prism
 
 , and
 
 Automation Anywhere
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Integrate
 
 cognitive services
 
 including
 
 Azure Cognitive Services
 
 ,
 
 AWS Comprehend
 
 ,
 
 Form Recognizer
 
 , and
 
 Speech/Translation APIs
 
 to augment digital workflows.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Lead enterprise
 
 process mining
 
 and
 
 optimization initiatives
 
 via
 
 Celonis
 
 ,
 
 Power BI Process Mining
 
 , and
 
 ProcessGold
 
 .&nbsp;
 
 </li>
 </ul>
 
 Security, Compliance &amp; Responsible AI
 
 &nbsp;
 
 <ul>
 <li>
 Ensure alignment with enterprise security standards and frameworks (SOC2, ISO27001, NIST).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Oversee
 
 identity and access management
 
 through
 
 Azure AD
 
 ,
 
 OAuth2
 
 ,
 
 OpenID Connect
 
 , and integration with enterprise IAM systems.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Champion ethical AI, bias detection, and explainability through
 
 Azure Responsible AI Dashboard
 
 and equivalent frameworks.&nbsp;
 
 </li>
 </ul>
 
 
 Leadership, Talent &amp; Innovation
 
 
 &nbsp;
 
 <ul>
 <li>
 Build and lead high-performing global teams in data science, engineering, and automation disciplines.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Cultivate a culture of innovation, continuous learning, and responsible experimentation.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Engage with the external AI ecosystem&mdash;academic institutions, hyperscalers, and startups&mdash;to identify strategic partnerships and emerging opportunities.&nbsp;
 
 
 </li>
 </ul>
 
 Preferred Background
 
 
 <ul>
 <li>
 &nbsp;Scaled demonationable experince of delivery or consulting leadership with significant experience delivering enterprise AI, data, and automation transformations.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Proven record integrating
 
 Python-based AI
 
 with
 
 .NET enterprise systems
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Deep expertise across multi-cloud environments, data governance, and enterprise DevSecOps.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Demonstrated ability to deliver large-scale transformation programs and measurable ROI.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Strong executive presence, communication, and client/stakeholder management skills.&nbsp;
 
 
 
 </li>
 </ul>
 
 Minimum years experience required
 
 
 
 
 Additional application instructions
 
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Evidence-Based Practice (EBP) {+ 53 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, AI Architect - Director level

Alcon SRL Advanced Intelligence Group

Job Title: Director of Data Science &amp; AnalyticsAbout the RoleWe are seeking a highly experienced Director of Data Science &amp; Analytics to lead enterprise-wide data strategy, AI initiatives, and advanced analytics capabilities. This is a senior leadership role where you will shape how data is used to drive business decisions, innovation, and AI-powered transformation across global operations.If you are passionate about building high-performing data teams, scaling machine learning systems, and turning complex datasets into actionable business intelligence&mdash;this role is designed for you.Why This Role is Attractive<ul><li>Strategic leadership role with global impact</li><li>Opportunity to build and lead an advanced AI &amp; data organization</li><li>Work on large-scale machine learning and predictive analytics systems</li><li>High autonomy in shaping data strategy and technology stack</li><li>Executive-level visibility and influence</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data science and analytics strategy</li><li>Lead teams of data scientists, analysts, and ML engineers</li><li>Build and scale machine learning models for prediction, automation, and optimization</li><li>Develop advanced analytics frameworks for business intelligence</li><li>Oversee data architecture, governance, and quality standards</li><li>Collaborate with CTO, engineering, and product leadership teams</li><li>Translate business challenges into data-driven solutions</li><li>Drive AI adoption across business units</li><li>Present insights and strategic recommendations to executive leadership</li></ul>Required Experience &amp; Skills<ul><li>8+ years in Data Science, Analytics, or Machine Learning roles</li><li>3+ years in leadership or director-level positions</li><li>Strong experience with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Expertise in big data platforms (Spark, Hadoop, cloud data warehouses)</li><li>Proven experience building and deploying ML models at scale</li><li>Strong understanding of data engineering and architecture</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Experience in enterprise or global-scale organizations preferred</li></ul>What We Offer<ul><li>Competitive executive compensation package</li><li>Performance-based incentives</li><li>Opportunity to lead cutting-edge AI transformation</li><li>International project exposure</li><li>Career growth into executive leadership roles</li></ul>Call to ActionIf you're ready to lead a world-class data science organization and shape the future of AI-driven decision-making, we want to hear from you.Apply now and take the next step in your leadership journey.Pay: RO4,000.000 - RO6,500.000 per monthWork Location: In person

Director of Data Science & Analytics

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

Starbucks

<div>Now Brewing &ndash; Data Science Managers! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Data Science Manager, you&rsquo;ll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You&rsquo;ll coach partners in technical and career development, set standards and best practices, and ensure insights and machine learning solutions are scalable, measurable, and adopted into business workflows.
As a Data Science Manager, you will&hellip;<ul><li>
Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning.</li><li>
Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models.</li><li>
Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices&mdash;removing roadblocks and aligning cross-functional partners.</li></ul> 


We&rsquo;d love to hear from people with:<ul><li>
BA/BS (or equivalent experience)</li><li>
5&ndash;7+ years of experience in data science, analytics, or a closely related field</li><li>
Proficiency with Python or R, SQL, and relational databases</li><li>
Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering)</li><li>
Experience with cloud data/analytics solutions (e.g., Azure or AWS)</li><li>
Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail</li></ul> 
Preferred qualifications<ul><li>
MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience</li><li>
8+ years managing a small team (approximately 2&ndash;4 people) and developing technical talent</li><li>
Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar)</li><li>
Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability)</li></ul> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today! 
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</div>

senior manager, Data Science (Nashville, TN)

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Director
Job Description &amp; Summary
The Director (D) for AI &amp; Intelligent Automation will define and execute the enterprise strategy for Artificial Intelligence, Machine Learning, and Automation across business domains.
 
This role blends technical excellence, strategic leadership, and commercial acumen, combining deep expertise in Python, .NET, and cloud-native architectures to deliver scalable, secure, and value-generating intelligent systems &ndash; leveraging the latest in thinking in the future agentic web.
 
The MD/D will partner with C-suite executives, technology leaders, and global delivery teams to embed AI capabilities at scale&mdash;accelerating innovation, enhancing decision-making, and transforming enterprise operations.
Key Leadership Responsibilities
Strategic Vision &amp; Governance
<ul><li>Define the global AI &amp; Intelligent Automation strategy, ensuring alignment with enterprise digital transformation and innovation objectives.
</li></ul><ul><li>Establish technical governance frameworks for AI ethics, model transparency, and Responsible AI implementationServe as the senior executive sponsor for AI architecture, operating model, and adoption roadmap.
</li></ul><ul><li>Experience delivering solutions leveraging
</li><li>Experience delivering intelligent, agentic solutions leveraging frameworks such as Semantic Kernel, LangGraph, CrewAI, LangChain, AutoGen and LlamaIndex, with a strong focus on orchestration, multi-agent collaboration, and scalable AI-driven architectures.
</li></ul><ul><li>Drive responsible integration of Large Language Models (LLMs) from multiple providers including deployment via Azure OpenAI Service, Amazon Bedrock or Vertex AI .
</li></ul><ul><li>Implement retrieval-augmented generation (RAG) architectures and manage vector databases
</li></ul>Data Platform &amp; Engineering Excellence
<ul><li>Lead the evolution of the enterprise data estate, leveraging modern data platforms such as Databricks , Snowflake , Azure Synapse , AWS Glue/Redshift and BigQuery .
</li></ul><ul><li>Oversee data engineering using Apache Airflow , dbt , and Prefect , ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards ( Collibra , Alation , Microsoft Purview ).
</li><li>Ensure high-quality, compliant data foundations for machine learning and analytics workloads.
</li></ul>Cloud, Infrastructure &amp; MLOps
<ul><li>Champion multi-cloud architecture and engineering excellence across Azure , AWS , and GCP .
</li></ul><ul><li>Lead enterprise MLOps initiatives using Azure ML , SageMaker , Vertex AI , MLflow , and Kubeflow
</li></ul>Intelligent Automation &amp; Cognitive Services
<ul><li>Drive end-to-end intelligent automation using Power Automate , Blue Prism , and Automation Anywhere .
</li></ul><ul><li>Integrate cognitive services including Azure Cognitive Services , AWS Comprehend , Form Recognizer , and Speech/Translation APIs to augment digital workflows.
</li></ul><ul><li>Lead enterprise process mining and optimization initiatives via Celonis , Power BI Process Mining , and ProcessGold .
</li></ul>Security, Compliance &amp; Responsible AI
<ul><li>Ensure alignment with enterprise security standards and frameworks (SOC2, ISO27001, NIST).
</li></ul><ul><li>Oversee identity and access management through Azure AD , OAuth2 , OpenID Connect , and integration with enterprise IAM systems.
</li></ul><ul><li>Champion ethical AI, bias detection, and explainability through Azure Responsible AI Dashboard and equivalent frameworks.
</li></ul>Leadership, Talent &amp; Innovation
<ul><li>Build and lead high-performing global teams in data science, engineering, and automation disciplines.
</li></ul><ul><li>Cultivate a culture of innovation, continuous learning, and responsible experimentation.
</li></ul><ul><li>Engage with the external AI ecosystem&mdash;academic institutions, hyperscalers, and startups&mdash;to identify strategic partnerships and emerging opportunities.
</li></ul>Preferred Background
 <ul><li>Scaled demonationable experince of delivery or consulting leadership with significant experience delivering enterprise AI, data, and automation transformations.
</li></ul><ul><li>Proven record integrating Python-based AI with .NET enterprise systems .
</li></ul><ul><li>Deep expertise across multi-cloud environments, data governance, and enterprise DevSecOps.
</li></ul><ul><li>Demonstrated ability to deliver large-scale transformation programs and measurable ROI.
</li></ul><ul><li>Strong executive presence, communication, and client/stakeholder management skills.
</li></ul>Minimum years experience required
Additional application instructions
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Evidence-Based Practice (EBP) {+ 53 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.</div>
</div><div><div><h2 class="jobSectionHeader">Job Description - Grade Specific</h2>
</div><div>Plays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.</div></div></div></div></div></div></div>

Lead Machine Learning Engineer

Batuta Diseno

Head of AI &amp; Machine Learning &ndash; IT &amp; Digital TransformationCompany: Batuta Diseno Location: Doha Salary: QAR 50,000 per monthJob SummaryBatuta Diseno is seeking an experienced and innovative Head of AI &amp; Machine Learning to lead the company&rsquo;s AI initiatives and digital transformation programs. The ideal candidate will oversee the development of intelligent systems, machine learning models, and AI-driven solutions that enhance business operations, automation, and strategic growth.Key Responsibilities<ul><li>Develop and implement AI and machine learning strategies aligned with business and digital transformation goals.</li><li>Lead AI/ML teams in designing, building, testing, and deploying intelligent applications and predictive models.</li><li>Manage AI-driven automation, data analytics, natural language processing, and deep learning projects.</li><li>Collaborate with business leaders, IT teams, and stakeholders to identify AI opportunities and innovative solutions.</li><li>Oversee AI infrastructure, cloud platforms, and data engineering processes.</li><li>Ensure scalability, security, compliance, and performance of AI systems and digital platforms.</li><li>Monitor AI model accuracy, optimize performance, and improve machine learning pipelines.</li><li>Research emerging AI technologies and recommend innovative solutions to improve operations and customer experiences.</li><li>Establish AI governance, ethical standards, and best practices for AI implementation.</li><li>Provide leadership, mentoring, and technical guidance to AI engineers, developers, and data scientists.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Artificial Intelligence, Computer Science, Data Science, Engineering, or related field.</li><li>Minimum of 8+ years of experience in AI, machine learning, data science, or digital transformation leadership roles.</li><li>Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.</li><li>Proficiency in Python, R, SQL, and big data technologies.</li><li>Experience with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML deployment.</li><li>Strong understanding of predictive analytics, NLP, deep learning, and AI model optimization.</li><li>Experience leading enterprise AI and automation projects.</li><li>Excellent leadership, strategic thinking, communication, and problem-solving skills.</li><li>Ability to manage cross-functional teams and complex digital transformation initiatives.</li><li>Relevant AI, data science, or cloud certifications are preferred.</li></ul>الراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Head of AI & Machine Learning

Search 10000+ Director of machine learning jobs near you this May. New roles added regularly across leading industries. Apply today.

10000 director of machine learning jobs Near Me

ETIC, AI Architect - Director level

Director of Data Science & Analytics

Director/Manager, Data Science & AI Enablement

senior manager, Data Science (Nashville, TN)

ETIC, AI Architect - Director level

Lead Machine Learning Engineer

Head of AI & Machine Learning