ai technical lead

Thomson Reuters

<div><div>Staff Software Engineer- AI
</div><div>Are you passionate about building AI-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a globalleader. As a Staff Software Engineer &ndash; AI, you will play a lead role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.
</div><div>About The Role:
</div><div>As a Staff Software Engineer &ndash; AI, you will spearhead the development of cutting-edge AI-powered solutions and driving technical strategy.<ul><li>
You will collaborate with senior stakeholders, product leadership, and cross-functional teams to architect, build, andscale enterprise-grade AI systems that transform how our organization delivers value to customers.
</li><li>Build &amp; Architect AI-Driven Systems.
</li><li>Design and lead the implementation of complex, enterprise-scale AI systems, including sophisticated multi-component pipelines, advanced retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning capabilities.</li><li>
Architect scalable AI model integration strategies for production software through robust APIs, distributed data pipelines, and microservices architectures.</li><li>
Lead the adaptation and customization of AI models for specialized domains, driving innovation in expert systems for legal, tax, fraud and compliance.</li><li>
Define technical standards and best practices for AI system architecture across the organization.
</li><li>Drive Innovation &amp; Technical Strategy.
</li><li>Lead evaluation and strategic adoption of cutting-edge AI techniques to solve complex business challenges.</li><li>
Oversee proof-of-concept projects and guide technical feasibility assessments for new AI-driven features.</li><li>
Stay at the forefront of AI research and emerging technologies, translating insights into actionable technical roadmaps.</li><li>
Drive innovation initiatives and establish the organization's position in emerging AI technology areas.
</li><li>Lead technical architecture decisions and translate high-level business requirements into comprehensive, scalable technical specification.</li><li>
Mentor a team of senior and junior Software engineers, fostering technical growth and career development.</li><li>
Champion MLOps and LLMOps practices across the organization, leading both design and implementation initiatives.</li><li>
Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industryconferences and events.
</li><li>Ensure Quality, Security &amp; Operational Excellence.</li><li>
Design and implement comprehensive testing frameworks, monitoring systems, and observability solutions for AI model performance at scale.</li><li>
Lead compliance initiatives ensuring adherence to ethical AI principles, security standards, and regulatory requirements.</li><li>
Conduct advanced systems analysis and drive operational improvements across AI infrastructure.</li><li>
Establish governance frameworks for AI model lifecycle management.</li><li>
Lead Cross-Functional Collaboration.
</li><li>Partner with AI researchers, senior engineering leadership, design, and product teams to translate AI capabilities into market-leading applications.</li><li>
Drive optimization of AI system performance across multiple dimensions including latency, resource usage, cost efficiency, and user experience.</li><li>
Lead strategic initiatives for application feature enhancements through advanced AI capabilities.</li><li>
Influence product strategy through deep technical expertise and market understanding.
</li></ul></div><div>About You:
</div><div>You are a fit for the position of Staff Software Engineer - AI if your background includes:</div><div><ul><li>
Bachelor's degree in computer science, Engineering, or equivalent experience; master's degree preferred.</li><li>
8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML.</li><li>
Expert-level proficiency in Python andextensive experience with AI/ML frameworks (PyTorch, TensorFlow, JAX).</li><li>
Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design.
</li><li>Proven experience with MLOps/LLMOps and managing thecomplete lifecycle of enterprise AI-powered applications.
</li><li>Demonstrated expertise integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures.
</li><li>Advanced experience with cloud platforms (AWS,Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform).</li><li>
Strong leadership experience driving technical initiatives.</li><li>
Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments.</li><li>
Outstanding communication and presentation skills with experience influencing senior stakeholders.
</li></ul></div><div>Preferred Qualifications
<ul><li>Experience leading teams in building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs from providers like OpenAI, Anthropic, and others.</li><li>
Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval systems.</li><li>
Domain expertise in legal, tax, accounting, or other regulated industries.</li><li>
Track record of successful AI product launches and scaling AI systems to enterprise customers.</li><li>
Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development.</li><li>
Experience with AI governance, model risk management, and regulatory compliance.</li><li>
Publications, patents, or speaking experience in AI/ML domains.
</li></ul>#LI-SS5</div>
What&rsquo;s in it For You?<div><div><div><div><ul><li>
Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.</li><li>
Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.</li><li>
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.</li><li>
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.</li><li>
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.</li><li>
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.</li><li>
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.</li></ul></div></div></div></div> 
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.</div>

Staff Software Engineer - AI I

Regeneron

<div>Regeneron is founded on the belief that the right idea, combined with the right team, can lead to significant transformations. Our growing global network is dedicated to inventing, developing, and commercializing medicines that change lives for those with serious diseases. In doing so, we are pioneering innovative approaches to science, manufacturing, and commercialization, as well as redefining our understanding of health.
Regeneron is seeking a skilled Principal AI/ML Engineer to work as a technical lead for our artificial intelligence initiatives and drive strategic innovation across our research and development portfolio. As a Principal AI/ML Engineer, you will be responsible for owning the team for architecting and building enterprise-scale AI solutions that transform how we approach drug discovery, clinical research, and patient care. In the role you will work collaboratively with data scientists, researchers, and software engineers to architect, design, develop, and deploy cutting-edge AI solutions, addressing a range of business challenges. You will be instrumental in building and maintaining machine learning models, crafting advanced algorithms, and ensuring the scalability and robustness of our AI systems.
A typical day might include the following:
<ul><li>Be responsible for the evaluation, adoption, and integration of emerging AI technologies and methodologies across the organization
</li><li>Architect and be responsible for the development of large-scale, distributed AI systems capable of processing multi-modal biological data
</li><li>Architect, Design, develop, and deploy AI models, algorithms, and systems to analyze sophisticated biological and pharmaceutical data.
</li><li>Collaborate with multi-functional teams to identify AI opportunities and chip in to project goals, requirements, and work you're doing.
</li><li>Create and maintain machine learning models, developing advanced algorithms for tasks such as image analysis, natural language processing, and predictive modeling.
</li><li>Design and optimize data pipelines and workflows for efficient data collection, preprocessing, and storage for AI training and evaluation.
</li><li>Adhere to standard methodologies in AI model development, deployment, and maintenance, with a focus on performance, scalability, reliability, and regulatory compliance.
</li><li>Stay abreast of the latest AI advancements, assessing their potential application and promoting innovation within the organization.
</li><li>Engage with external partners to integrate modern AI technologies and tools.
</li><li>Share a point of view in AI-related discussions, presenting findings and insights to partners.
</li><li>Implement and refine pioneering machine learning models and deep learning architectures.
</li><li>Use statistical techniques and data visualization to analyze and interpret AI model outputs, delivering insights to partners.
</li><li>Optimize AI models for performance and reliability, considering computational and regulatory constraints.
</li><li>Chip in to the development of AI-related procedures, standards, and guidelines within the organization.
</li><li>Participate in scientific and technical discussions, presenting findings to various audiences.
</li><li>Develop and maintain comprehensive documentation for AI models and systems.
</li><li>Communicate sophisticated AI concepts to non-technical partners.
</li><li>Mentor and guide senior AI/ML engineers, data scientists, and multi-functional teams in sophisticated AI methodologies
</li><li>Lead technical reviews, architectural decisions, and code quality standards across AI projects
</li><li>Translate sophisticated AI concepts into business value propositions for non-technical audiences
</li><li>Establish partnerships with technology vendors, cloud providers, and AI research organizations
</li></ul>This job might be for you if you:
<ul><li>Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
</li><li>At least 7 years of experience in AI/ML engineering, preferably within the biotechnology, pharmaceutical, or healthcare industry.
</li><li>Proven track record in biotechnology, pharmaceutical, or healthcare AI applications with measurable business impact
</li><li>Hands on experience in Building Generative AI solutions from scratch using frameworks such as LangChain, LangGraph, CrewAI
</li><li>Profound knowledge of large language models, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
</li><li>Extensive experience with cloud-native AI platforms (AWS SageMaker, Google Vertex AI, Azure ML) and containerization technologies
</li><li>Profound knowledge of AI governance frameworks, ethical guidelines, and regulatory compliance standards for biotechnology applications
</li><li>Profound knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical methods.
</li><li>Proficient programming skills in languages such as Python, Java, R and familiarity with software engineering practices.
</li><li>Practical experience in and deploying AI models.
</li><li>Familiarity with Agentic AI patterns: ReAct, tool use, planning strategies, memory management, etc.
</li><li>Excellent communication developing skills and the ability to collaborate optimally with multi-functional teams.
</li><li>Strong problem-solving skills and a results-driven approach.
</li><li>Understanding of regulatory compliance related to AI in the biotech and pharma industries is advantageous.
</li><li>Knowledge of natural language processing techniques and tools.
</li><li>Demonstrated ability to lead and inspire high-performing technical teams
</li><li>Exceptional communication skills with experience presenting to C-level executives and external stakeholders
</li><li>Proven track record of driving organizational change and technology adoption
</li><li>Familiarity with big data technologies, such as Hadoop, Spark, or NoSQL databases.
</li><li>Experience with Dataiku, Databricks and AWS Sage maker
</li><li>Experience with OpenAI, Anthropic and other Generative AI Models
</li><li>Knowledge of the biotechnology and pharmaceutical industry is a plus.
</li></ul>Connect with us, so we can learn more about you, and you can learn more about our medicines. And join us in crafting the future of healthcare.
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.
For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.
Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.</div>

Principal AI Engineer

Takamol Holding

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 AI Model Development &amp; Deployment: Lead design, development, and deployment of ML models, LLMs, and RAG systems with robust pipelines
 </li>
 <li>
 Technology Leadership: Monitor emerging AI technologies, conduct strategic assessments, and drive adoption of cutting-edge AI frameworks and methodologies
 </li>
 <li>
 Business Engagement: Collaborate with business units to identify AI use cases, translate requirements into technical solutions, and present strategic recommendations to executive leadership
 </li>
 <li>
 Team Leadership: Build, lead, and mentor teams of data scientists and ML engineers while fostering innovation and continuous learning
 </li>
 <li>
 AI Governance: Enforce AI governance frameworks, ethical guidelines, and organization-wide AI literacy initiatives
 </li>
 <li>
 Strategic Planning: Develop AI roadmaps, manage project budgets, and coordinate cross-functional initiatives to drive business transformation
 </li>
 <li>
 Innovation Management: Lead proof-of-concept initiatives, establish academic partnerships, and ensure scalable AI infrastructure for production applications
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Education &amp; Experience: Bachelor's degree in Computer Science/Data Science/ML or relevant fields (Master's preferred) with 7-10 years progressive AI/ML experience including 3-5 years in leadership roles
 </li>
 <li>
 Technical Expertise: Deep expertise in ML algorithms, LLMs, RAG architectures, and production deployment using frameworks and cloud services (GCP stack preferred)
 </li>
 <li>
 Programming &amp; Data: Expert Python programming, strong SQL skills, experience with big data technologies (Spark, Kafka) and cloud AI platforms
 </li>
 <li>
 Leadership Experience: Proven track record building and scaling technical teams, managing P&amp;L responsibility, and translating business requirements into AI solutions
 </li>
 <li>
 Business Acumen: Strong presentation skills to communicate complex technical concepts to stakeholders, experience with AI governance and regulatory compliance
 </li>
 <li>
 Industry Knowledge: Understanding of AI ethics, bias mitigation, responsible AI practices, and enterprise AI security best practices
 </li>
 <li>
 Preferred Qualifications: Cloud certifications, active conference and event participation and track record of successful AI product launches
 </li>
 </ul>
</div>

AI Director

Aliqan Services Private Limited

Job Title: Lead AI/ML &amp; NLP ConsultantExperience : 7+ years Location : Remote Mode: 6 month Contract + ext.Key Responsibilities<ul><li>Lead the end-to-end design, architecture, and implementation of complex AI/ML and Natural Language Processing (NLP) models, focusing on intelligent automation, document processing, and data extraction solutions.</li><li>Guide the technical team in selecting and implementing the most appropriate AI/ML algorithms, frameworks, and tools for business objectives.</li><li>Maintain deep expertise in the latest advancements in AI, LLMs, and NLP techniques</li><li>Serve as the primary technical point of contact for international clients (requiring flexible UST time working hours).</li><li>Proactively interact and build strong professional rapport with client stakeholders, business analysts, and technical teams.</li><li>Translate ambiguous business challenges and client requirements into clear, comprehensive technical specifications and project roadmaps.</li><li>Lead the production deployment of AI/ML models, ensuring scalability, reliability, and security in live environments.</li><li>Be accountable for handling production support issues and escalations in a live, mission-critical environment, including troubleshooting and performance optimization of deployed models.</li><li>Establish MLOps best practices, including continuous integration, continuous delivery (CI/CD), monitoring, and retraining pipelines.</li><li>Lead, mentor, and guide a team of AI/ML Engineers and Data Scientists, fostering a culture of technical excellence and accountability.</li><li>Conduct technical reviews and ensure adherence to coding standards, documentation, and best practices across the team.</li></ul>Required Qualifications:<ul><li>Experience: 7+ years of progressive experience in developing and deploying AI/ML and NLP solutions.</li><li>Technical Domain Expertise (Must Have):</li><li>Deep, hands-on experience with modern Natural Language Processing (NLP) techniques, including but not limited to LLMs/Transformers, Named Entity Recognition (NER), Topic Modeling, Text Classification, and Document Understanding.</li><li>Expertise in Machine Learning (ML) frameworks (e.g., Python, TensorFlow, PyTorch, Scikit-learn).</li><li>Proven experience in designing and working with large, complex datasets for model training and validation.</li><li>Production &amp; MLOps Experience (Must Have):</li><li>Demonstrated experience in handling production support in live environments, including debugging, monitoring, and maintaining high-availability AI services.</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying and scaling ML models.</li><li>Leadership &amp; Communication (Must Have):</li><li>Proven ability to lead and guide a technical team.</li><li>Exceptional written and verbal communication skills; demonstrated experience in client-facing roles, including presenting technical concepts to non-technical audiences.</li></ul>Job Type: Contractual / Temporary Contract length: 6 monthsPay: &#8377;150,000.00 - &#8377;170,000.00 per monthApplication Question(s):<ul><li>Do you have 7+ years of experience in AI/ML ?</li><li>Do you have experience in NLP ?</li><li>Do you have experience in Production &amp; MLOps ?</li></ul>Work Location: Remote

Lead AI/ML & NLP Consultant

Infosys

<div><h2 class="jobSectionHeader">Job Description:</h2> 
<ul>
<li>We are looking for a Responsible AI RAI Compliance Lead to oversee the organization s compliance with AI governance and ethical standards</li>
<li>The RAI Compliance Lead will play a crucial role in developing implementing and managing AI compliance frameworks to ensure that our AI systems meet regulatory ethical and transparency requirements</li>
<li>This role involves working closely with various internal teams including legal data science AI development and external regulatory bodies to ensure that the organization s AI practices align with global standards and regulations</li></ul> 
<h2 class="jobSectionHeader">
Key Responsibilities:</h2> 
<ul>
<li>Develop refine and lead the implementation of the organization s Responsible AI RAI compliance program aligning it with regulatory requirements and ethical best practices</li>
<li>Design and implement governance frameworks that ensure ethical AI development deployment and monitoring</li>
<li>Collaborate with legal and regulatory teams to ensure compliance with global AI regulations e</li>
<li>g</li>
<li>EU AI Act GDPR CCPA and internal governance policies</li>
<li>Lead risk assessments to identify ethical legal and operational risks in AI systems with a focus on fairness transparency accountability and bias mitigation</li>
<li>Create AI risk mitigation strategies in collaboration with technical teams to address identified risks and ensure ethical outcomes in AI driven decision making processes</li>
<li>Develop AI auditing protocols and perform regular audits of AI models and systems to ensure they comply with organizational and regulatory standards</li>
<li>Monitor and stay informed on emerging AI regulations industry standards and ethical guidelines to ensure compliance with AI governance frameworks</li>
<li>Advise on the creation and refinement of internal policies guidelines and practices regarding the ethical use of AI technologies</li>
<li>Regularly review and update compliance frameworks to meet evolving regulatory requirements</li>
<li>Ensure thorough documentation of AI systems audits and compliance efforts to support both internal reviews and external reporting requirements</li>
<li>Prepare regular reports for senior management on the status of AI compliance risk assessments and corrective actions</li>
<li>Serve as the primary point of contact for audits or inquiries related to AI compliance from regulators or external assessors</li>
<li>Lead internal training and awareness programs focused on AI compliance ethical AI practices and emerging regulations for relevant stakeholders</li>
<li>Collaborate with HR legal and technical teams to ensure all employees involved in AI development and deployment understand their role in ensuring responsible and compliant AI use</li>
<li>Provide ongoing support and resources for cross functional teams to ensure the consistent application of AI compliance protocols</li></ul> 
<h2 class="jobSectionHeader">
Additional Responsibilities:</h2> 
<ul>
<li>Good verbal written communication skills articulate value to delivery leads project managers other unit heads and negotiate and resolve conflicts</li>
<li>Technical knowledge and expertise on AI ML Data Science and software development methodologies</li>
<li>Structured problem solving and consulting skill sets</li>
<li>Program management of large projects involving multiple stakeholders</li></ul> 
<h2 class="jobSectionHeader">
Preferred Skills:</h2>
Foundational -&gt;Artificial Intelligence-&gt;Responsible AI by Design,Technology-&gt;Machine Learning-&gt;Generative AI-&gt;retrieval augmented generation (rag),Technology-&gt;Machine Learning-&gt;Responsible AI</div>

AI Compliance Lead

COOL AI L.L.C

As a Pre-Sales Solutions Engineer, you will act as the technical and business bridge between enterprise customers and our product capabilities. You’ll design, present, and deliver AI-powered solutions using COOL AI’s platform to help organizations automate workflows and scale their business with intelligent systems. You’ll work closely with sales, product, and engineering teams to drive high-quality solution engagements, lead technical discussions, and ensure clients receive clear, tailored, and high-impact solutions. What You’ll Do <ul><li>Design and present tailored AI solutions leveraging COOL AI’s AI Workforce and Agent OS platform. </li><li>Collaborate closely with cross-functional teams to identify and understand client needs. </li><li>Conduct product demos and proof-of-concepts, articulating clear business value and ROI. </li><li>Draft technical proposals and lead technical discussions with enterprise customers.</li><li>Work with product and engineering teams to align solutions with product capabilities and client goals.</li><li>Lead customer enablement through hands-on training, onboarding, and ongoing support to drive self-sufficiency on COOL AI's platform. </li><li>Represent COOL AI at exhibitions, client meetings, and partner events to support growth in the region. </li><li>Maintain solution documentation, pipeline visibility, and pre-sales enablement materials.</li></ul>

Pre-Sales Solutions Engineer – Dubai

DarGlobal

<div>
 
 We are seeking an innovative
 
 AI Engineer / Data Scientist
 
 to lead the development and implementation of
 
 AI-driven tools and systems across the enterprise
 
 . The ideal candidate will combine deep technical expertise in
 
 machine learning, large language models (LLMs), and data analytics
 
 with a strategic understanding of how to embed AI capabilities within business processes.
 
 
 This role will drive the adoption of AI technologies across departments&mdash;enabling automation, improving decision-making, and fostering a data-first culture throughout the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Enterprise AI Implementation
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of
 
 AI and automation tools
 
 across multiple business functions (marketing, sales, finance, operations, and customer experience).
 </li>
 <li>
 Collaborate with stakeholders to identify
 
 high-impact AI opportunities
 
 and develop scalable solutions.
 </li>
 <li>
 Build and manage
 
 AI platforms and internal tools
 
 that enhance productivity and decision-making across teams.
 </li>
 <li>
 Integrate AI capabilities (e.g., LLM-based assistants, chatbots, predictive analytics, generative content tools) into existing enterprise systems such as
 
 CRM, ERP, and data platforms
 
 .
 </li>
 <li>
 Establish
 
 best practices for AI governance, model lifecycle management, and ethical AI usage
 
 across the organization.
 </li>
 </ul>
 
 
 AI &amp; Machine Learning Development
 
 
 <ul>
 <li>
 Research, build, and deploy models for
 
 predictive analytics, natural language processing (NLP), computer vision, and recommendation systems
 
 .
 </li>
 <li>
 Develop APIs and microservices to operationalize ML models within production environments.
 </li>
 <li>
 Ensure solutions are
 
 scalable, secure, and compliant
 
 with enterprise data policies.
 </li>
 </ul>
 
 
 Data Science &amp; Analytics
 
 
 <ul>
 <li>
 Lead efforts in
 
 data collection, transformation, and feature engineering
 
 to support analytical models.
 </li>
 <li>
 Create
 
 dashboards and AI-powered insights tools
 
 to enable real-time decision support for leadership teams.
 </li>
 <li>
 Work with data engineering teams to maintain
 
 clean, consistent, and high-quality data pipelines
 
 .
 </li>
 </ul>
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Partner with IT, digital transformation, and business units to align AI initiatives with enterprise goals.
 </li>
 <li>
 Conduct workshops and training to
 
 build AI literacy
 
 and encourage adoption across non-technical departments.
 </li>
 <li>
 Communicate insights and technical findings clearly to stakeholders at all levels.
 </li>
 </ul>
 
 
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Continuously evaluate and implement the latest
 
 AI and automation platforms
 
 (e.g., OpenAI, Anthropic, Azure AI, Hugging Face, DataRobot).
 </li>
 <li>
 Explore opportunities for
 
 AI-driven business process reengineering
 
 and new product innovation.
 </li>
 <li>
 Stay ahead of trends in
 
 LLMs, multimodal AI, generative AI, and cognitive automation
 
 .
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in
 
 Computer Science, Artificial Intelligence, Data Science, or related fields
 
 .
 </li>
 <li>
 PhD preferred but not required.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 (pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
 </li>
 <li>
 Experience implementing enterprise AI solutions using
 
 OpenAI API, LangChain, Azure AI, Hugging Face, or similar frameworks
 
 .
 </li>
 <li>
 Expertise in
 
 machine learning deployment
 
 and
 
 MLOps
 
 (Docker, MLflow, CI/CD pipelines).
 </li>
 <li>
 Experience with
 
 cloud AI environments
 
 (AWS SageMaker, Azure ML, Google Vertex AI).
 </li>
 <li>
 Familiarity with
 
 data platforms
 
 (Snowflake, Databricks, Power BI, BigQuery).
 </li>
 <li>
 Understanding of
 
 AI ethics, security, and compliance frameworks
 
 .
 </li>
 </ul>
 
 
</div>

AI Engineer / Data Scientist

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