ai team lead

CODEX

<div>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Team Leadership &amp; Management
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead, mentor, and conduct performance reviews for an AI team.
  </li>
  <li>
   Oversee the team's workflow (Agile/Scrum), ensuring efficient delivery, high code quality, and robust CI/CD/MLOps practices.
  </li>
  <li>
   Manage project planning, resource allocation, and timeline estimation for AI initiatives.
  </li>
  <li>
   Translate high-level business objectives into technical roadmaps for AI and Data Science products.
  </li>
  <li>
   Drive high-level architectural decisions, selecting the right tools, frameworks, and cloud infrastructure to ensure scalability and performance.
  </li>
  <li>
   Stay ahead of the curve on AI trends and guide the team in moving valid PoCs into production.
  </li>
  <li>
   Provide expert guidance on complex problems and mentor team members on technical challenges.
  </li>
  <li>
   Ensure the reliability and scalability of data pipelines, labeling processes, and model deployment strategies.
  </li>
  <li>
   Collaborate with Product Managers and other Engineering Leads to ensure cross-functional alignment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI Development &amp; Architecture
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build AI infrastructure, including model serving, monitoring, and observability systems.
  </li>
  <li>
   Design and build AI Agents capable of complex reasoning, multi-step planning, and tool execution.
  </li>
  <li>
   Lead the development of RAG systems and agent memory services.
  </li>
  <li>
   Design and develop multi-agent systems where specialized agents collaborate to execute workflows, manage state, and handle error recovery autonomously.
  </li>
  <li>
   Lead the fine-tuning and alignment of commercial and open-source LLMs for domain-specific tasks.
  </li>
  <li>
   Design ML models and statistical algorithms for user behavior analysis, segmentation, and personalization.
  </li>
  <li>
   Design recommendation systems, including collaborative filtering, content-based methods, and deep learning-based approaches.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   BSc degree in Computer Engineering, AI, Mathematics, or a related field (MSc/PhD preferred).
  </li>
  <li>
   Minimum of
   <strong>
    7 years of professional experience
   </strong>
   in Data Science, MLOps, and AI development after bachelor graduation.
  </li>
  <li>
   Currently holding a senior or lead-level position.
  </li>
  <li>
   Strong proficiency in Python programming and data science libraries.
  </li>
  <li>
   Experience with recommendation systems algorithms and concepts.
  </li>
  <li>
   Hands-on experience with frameworks for building and integrating RAG and LLM-based applications.
  </li>
  <li>
   Proficiency with CI/CD processes and MLOps best practices.
  </li>
  <li>
   Proficiency in written and spoken English.
  </li>
  <li>
   Ability and motivation to self-teach, enter new domains, and manage ambiguity.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred / Nice-to-have Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   MSc or Ph.D. in Artificial Intelligence or Data Science.
  </li>
  <li>
   Certifications or deep experience with AWS/GCP/Azure AI services.
  </li>
  <li>
   Published papers or active contributions to the open-source AI community.
  </li>
  <li>
   Experience with model monitoring, A/B testing frameworks, and production ML systems at scale.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Interview Process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ol>
  <li>
   <strong>
    Phone Screening:
   </strong>
   Initial discussion to review experience and leadership fit.
  </li>
  <li>
   <strong>
    Technical Assessment:
   </strong>
   A challenging assessment covering system design and algorithmic problem-solving.
  </li>
  <li>
   <strong>
    Final Interview:
   </strong>
   Discussion with Engineering Management/C-Level regarding vision and cultural fit.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Important Note
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Candidates must have at least
  <strong>
   7 years of professional experience
  </strong>
  in AI/Data Science after graduation and currently hold a senior or lead-level position. Candidates with less experience will not be considered for this Team Lead role.
 </p>
</div>


Artificial Intelligence Team Lead

Gilbane

<div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><p>Gilbane is seeking a seasoned and forward-thinking<b> AI Director</b> with a strong foundation in IT, proven experience in data and AI, and a passion for turning innovation into enterprise impact. In this leadership role, you will guide a small team of AI Solutions Analysts and act as the key architect and delivery owner for AI solutions that connect advanced capabilities with real-world business value. This role will report to the Chief Growth and Strategy officer</p><p>
You will work closely with business leaders and functional teams to identify and prioritize high-value AI opportunities, ensuring that solutions are technically sound, scalable, and aligned with strategic priorities. Beyond model development, you will lead the integration of AI into existing systems, oversee end-to-end deployment, and establish the engineering standards, governance, and best practices needed to scale AI responsibly and efficiently across the enterprise.</p><p>
This position is ideal for someone who thrives at the intersection of technology, product, and leadership - a hands-on director and team builder who can bridge vision and execution. You will play a pivotal role in shaping the enterprise AI ecosystem, transforming ideas into robust, production-ready solutions that accelerate growth, efficiency, and competitive advantage.</p>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities<br>
</b></h2>
<div></div><div><div><div><div><b>The AI Director (Team Lead) owns the design, delivery, and operationalization of enterprise AI solutions that drive measurable business outcomes. This role leads a small team of AI Solutions Analysts and partners with business leaders, IT, and data teams to translate priorities into scalable, secure, and maintainable AI products. The ideal candidate combines strong engineering discipline with product sensibilities, ensuring solutions align to strategy, integrate cleanly with existing systems, and are adopted by end users.</b></div><br>
<div></div><ul><li>
Lead, mentor, and develop a team of AI Solutions Analysts; set goals, review performance, and grow skills.</li><li>
Allocate work, remove blockers, and establish delivery rituals (stand‑ups, code reviews, demos, retros).</li><li>
Model engineering best practices, documentation standards, and a culture of reliability and accountability.</li><li>
Develop and lead Gilbane AI strategy in alignment with business goals and digital transformation initiatives.
</li><li>Design, develop and deploy high-impact AI solutions (GenAI and traditional ML) that enhance project delivery, safety, operational efficiency. Workforce enablement, client enablement and unlock new value.</li><li>
Own full lifecycle: discovery, prototyping, testing, hardening, deployment, and post‑launch iteration</li><li>
Ensure integration with existing systems and workflows.</li><li>
Document technical designs, processes, and outcomes for knowledge sharing and scalability and provide training, and support to drive AI adoption across teams.</li><li>
Evaluate and recommend AI tools, platforms, and technologies (buy vs build).</li><li>
Monitor performance to ensure high-quality, scalable solutions.</li><li>
Stay updated on emerging AI trends and technologies, risks and opportunities. to ensure the organization remains competitive.</li><li>
Partner with business owners to frame problems, define success metrics, and prioritize a clear backlog. Collaborate with the IT team and other support functions.</li><li>
Translate business requirements into engineering tasks and acceptance criteria; communicate status and risks proactively.</li><li>
Prepare and deliver executive‑ready updates and demonstrations.</li><li>
Work with IT and data teams to source, prepare, and govern high‑quality data.
</li><li>Design feature pipelines and governance strategies.</li><li>
Embed Responsible AI controls (privacy, security, bias testing, explainability) into each lifecycle stage and ensure AI solutions adhere to ethical guidelines, data privacy regulations, and Responsible AI principles. Address potential biases in AI models and ensure transparency.</li><li>
Produce and maintain model/solution documentation (model cards, data lineage, evaluation results, user guidance).</li><li>
Manage relationships with external AI vendor, consultants, and technology providers.
</li><li>Coordinate with Legal/Compliance on data use and third‑party tools.</li><li>
Create user training, quick‑start guides; measure adoption and satisfaction.</li><li>
Gather feedback, prioritize enhancements, and drive continuous improvement.</li><li>
Define and track KPIs (e.g., cycle‑time reduction, accuracy/quality uplift, cost‑to‑serve, user adoption) to measure success of AI solutions (ROI).</li><li>
Report outcomes and lessons learned; Continuously monitor and optimize AI models and systems and capture reusable components (prompts, evaluators, connectors) in a shared library.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><p><b>QUALIFICATIONS &amp; EXPERIENCE:
</b></p><ul><li>8+ years of experience in AI or related field.
</li><li>Expertise in AI / ML, deep learning, NLP, predictive analytics and modern AI architectures.</li><li>
Experience managing and collaborating with external AI vendors, consultants and integrators.
</li><li>Proficiency in programming languages.
</li><li>Experience with cloud platforms
</li><li>Expertise in designing scalable and secure AI architectures.
</li><li>Knowledge of microservices, APIs, and system integration.</li><li>
Strong understanding of data engineering, data pipelines, and data governance.</li><li>
Familiarity with big data technologies.</li><li>
Excellent communication and collaboration skills to work with cross-functional teams.
</li><li>Strong problem-solving and analytical skills to translate business needs into AI opportunities that drive efficiencies and speeds.</li><li>
Strong leadership skills and demonstrated ability in leading small team.</li><li>
Proven experience in enterprise-scale AI/ML solution building and deployment.</li><li>
Background in software engineering, data science, or related fields.</li></ul><p></p><div><b><br>
Preferred Qualifications</b></div><ul><li>
Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).
</li><li>Experience with Responsible AI frameworks and ethical AI practices.
</li><li>Experience in a build environment and familiarity with industry data sources and workflows, including BIM, digital twins, IoT, scheduling, estimating, safety systems, and projects control are a plus.</li></ul><p></p><p><br>
Salary to be determined based on factors such as geographic location, skills, education, and/or experience of the applicant, as well as the internal equity and alignment with the team.</p><p>
For Rhode Island this ranges from $225,000-$290,000 plus benefits and retirement program.</p><p></p><p><i><br>
Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees&rsquo; education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test.</i></p><p></p><p><i><br>
Gilbane is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status.</i></p><p></p><p><b><i><br>
Note to Recruiters, Placement Agencies, and Similar Organizations</i></b><i>: Gilbane does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our jobs alias, website, or to any Gilbane employee. Gilbane will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Gilbane and will be processed accordingly.</i></p></div></div></div></div>

AI Director

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: AI Lead L1
</div></div></div></div><div><div><div><div>City: Hyderabad
</div></div></div></div><div><div><div><div>State/Province: Telangana
</div></div></div></div><div><div><div><div>Posting Start Date: 12/31/25
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b><br>
The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client&Atilde;&cent;&Acirc;&Acirc;s expectations and add value to business.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do<br>
</b></p><p></p><ul><li><b>Manage the product/ solution development using the desired AI techniques
</b><ul><li>Lead development and implementation of custom solutions through thoughtful use of modern AI technology
</li><li>Review and evaluate the use cases and decide whether a product can be developed to add business value
</li><li>Create the overall product development strategy and integrating with the larger interfaces
</li><li>Create AI models and framework and implement them to cater to a business problem
</li><li>Draft the desired user Interface and create AI models as per business problem
</li><li>Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
</li><li>Implement the necessary security features as per product&Atilde;&cent;&Acirc;&Acirc;s requirements
</li><li>Review the used case and see the latest AI that can be used in product&Atilde;&cent;&Acirc;&Acirc;s development
</li><li>Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
</li><li>Tracks industry and application trends and relates these to planning current and future AI needs
</li><li>Create and delegate work plans to the programming team for product development
</li><li>Interact with Holmes advisory board for knowledge sharing and best practices
</li></ul></li><li><b>Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
</b><ul><li>Drive discussions and provide consultation around product design as per customer needs
</li><li>Participate in client interactions and gather insights regarding product development
</li><li>Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
</li><li>Assist in product&Atilde;&cent;&Acirc;&Acirc;s demonstration and receive feedback from the client
</li><li>Design presentations for seminars, meetings and enclave primarily focused over product
</li></ul></li><li><b>Team Management
</b><ul><li>Resourcing
<ul><li>Forecast talent requirements as per the current and future business needs
</li><li>Hire adequate and right resources for the team
</li></ul></li><li>Talent Management
<ul><li>Ensure adequate onboarding and training for the team members to enhance capability &amp; effectiveness
</li><li>Build an internal talent pool and ensure their career progression within the organization
</li><li>Manage team attrition
</li><li>Drive diversity in leadership positions
</li></ul></li><li>Performance Management
<ul><li>Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
</li><li>Ensure that the Performance Nxt is followed for the entire team
</li></ul></li><li>Employee Satisfaction and Engagement
<ul><li>Lead and drive engagement initiatives for the team
</li><li>Track team satisfaction scores and identify initiatives to build engagement within the team
<br>
</li></ul></li></ul></li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Deliver
</b></p><div><div><div><div>No. </div><div>Performance Parameter </div><div>Measure
</div></div><br>
<div><div>1. </div><div>Continuous technical project management &amp; delivery </div><div>Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created
</div></div><br>
<div><div>2. </div><div>Client Centricity </div><div>No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation
</div></div><br>
<div><div>3. </div><div>Capability Building &amp; Team Management </div><div>% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)<br>
</div></div><br>
</div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: AI Infra Engg .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

AI Lead L1

Motive

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 <br/>
 <br/>
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 <br/>
 <br/>
 Visit gomotive.com to learn more.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for an experienced and hands-on Engineering Manager to lead a high-impact team of 6-8 AI engineers and research scientists, directly shaping the future of Motive's road and driver safety perception technology, developing industry-leading ADAS-like features such as forward collision warning, collision detection, unsafe lane changes, distracted driving, etc. Your primary mission will be to transform cutting-edge AI research into robust, production-ready features, driving the development lifecycle from initial concept through to successful in-field deployment and continuous optimization.
 <br/>
 <br/>
 You won't just manage; you'll inspire, mentor, and empower. This role demands a leader who thrives on both technical depth and people development. You will be the linchpin ensuring our ADAS-like AI functionalities are not only delivered on schedule but also set new benchmarks for quality, reliability, and performance in real-world conditions. If you are ready to make a significant technical contribution, build an exceptional team, and deliver AI products that redefine user experience and safety, this is the role for you.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead, mentor, and inspire a team of 6-8 AI engineers and scientists, fostering a collaborative, focused, and high-performing environment.
  </li>
  <li>
   Actively coach and grow individual contributors, providing constructive feedback, managing performance, and supporting their technical improvement and career development.
  </li>
  <li>
   Foster a culture of technical excellence, continuous learning, and shared responsibility.
  </li>
  <li>
   Take an active and hands-on role in roadmap planning, technical decision-making, and providing expert guidance for the development of AI/ADAS-like features.
  </li>
  <li>
   Drive the design, development, and deployment of robust AI models for critical functions like lane keeping, collision warning, and trajectory prediction.
  </li>
  <li>
   Oversee the entire product lifecycle from research to in-field deployment, ensuring features meet quality, performance, and reliability standards in production.
  </li>
  <li>
   Stay at the forefront of AI, machine learning, computer vision, and ADAS technologies, integrating relevant advancements into our product strategy.
  </li>
  <li>
   Develop, enforce, and continuously improve engineering processes and best practices across the team to enhance efficiency and quality.
  </li>
  <li>
   Effectively communicate with cross-functional stakeholders (Product, Hardware, etc.), influencing product strategy, technical architecture decisions, and process-related choices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field. Ph.D. is a plus.
  </li>
  <li>
   5+ years of hands-on experience in Computer Vision and/or Machine Learning, with a deep understanding of training and deploying Machine/Deep Learning models.
  </li>
  <li>
   2+ years of recent engineering management experience leading an AI/ML focused team of 6+ engineers.
  </li>
  <li>
   Proven track record of successfully launching and operating Computer Vision or Machine Learning applications at scale.
  </li>
  <li>
   A deep understanding of the process and challenges involved in building and maintaining large-scale ML products, especially those requiring high reliability and performance in the field.
  </li>
  <li>
   Exceptional leadership skills with a demonstrated ability to recruit, hire, coach, and grow engineering talent.
  </li>
  <li>
   Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
  </li>
  <li>
   Experience in ADAS (Advanced Driver-Assistance Systems) or Autonomous Driving is a strong plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with sensor fusion (e.g., camera, radar, lidar data).
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, GCP) for MLOps and model deployment.
  </li>
  <li>
   Familiarity with real-time embedded systems or automotive-grade software development.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
  <br/>
  <br/>
 </em>
 <em>
  Please review our Candidate Privacy Notice here.
  <br/>
  <br/>
 </em>
 <em>
  UK Candidate Privacy Notice here.
  <br/>
  <br/>
 </em>
 <em>
  The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 </em>
</div>


Engineering Manager, Computer Vision

Tekion

<div><div><p><b>About Tekion:</b></p>
<p>
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.</p></div><p>
Job Description:</p>
<p>
Tekion is seeking a passionate and dynamic Senior Manager of Applied Science to lead a team of applied Scientists focused on building next-generation AI applications on the cloud. You will work closely with product, business, machine learning engineering, and customer success teams to align priorities, timelines, and deliverables. You will drive AI/ML development efforts and ensure customer engagements are supported with high-quality, scalable solutions that deliver measurable impact.</p>
<p>
Key Responsibilities:</p><br>
<p>
Leadership and Team Management</p>
<ul>
<li>Lead, mentor, and manage a team of applied scientists, including senior scientists and team leads.</li>
</ul><ul><li>Build and scale a high-performing team of 5-8 scientists; provide regular mentoring and establish clear career development paths.</li>
</ul><ul><li>Set and promote best practices for research, development, code quality, and technical excellence</li><br>
</ul>
<p>Customer Engagement &amp; Deliverable Management</p>
<ul>
<li>Collaborate with product and customer success teams to prioritize customer needs and align development timelines accordingly.</li>
</ul><ul><li>Integrate customer feedback into development cycles, adapting priorities as business needs evolve.</li>
</ul><ul><li>Act as the technical point of contact for customer engagements, setting clear expectations for deliverables and timelines.</li>
</ul><ul><li>Ensure high-quality, on-time delivery of customer-facing AI/ML products that meet or exceed expectations.</li><br>
</ul>
<p>Product Development &amp; Strategy</p>
<ul>
<li>Lead the execution of the R&amp;D and product roadmap, aligning ML initiatives with business goals and customer priorities.</li>
</ul><ul><li>Drive product strategy in collaboration with product management, business development, and operations.</li>
</ul><ul><li>Provide architectural and technical leadership on key projects, ensuring robustness, scalability,and flexibility.</li><br>
</ul>
<p>Scalability &amp; Best Practices</p>
<ul>
<li>Foster a high-performing team through agile workflows, continuous improvement, and strong delivery processes.</li>
</ul><ul><li>Architect and implement scalable AI/ML solutions aligned with ASD's long-term vision, using cloud-native technologies and microservices.</li>
</ul><ul><li>Oversee the full ML lifecycle-including data collection, model training, validation, deployment, and monitoring-ensuring effective team collaboration and resource management.</li>
</ul><ul><li>Promote advanced techniques such as model compression, quantization, and distributed training.</li>
</ul><ul><li>Champion industry best practices in development to ensure code quality, performance, and scalability.</li>
</ul><ul><li>Stay current with advancements in ML and lead team engagement in the broader scientific community.</li>
</ul><ul><li>Collaborate with design, product, and engineering teams to deliver high-performance solutions in a fast-evolving environment.</li><br>
</ul>
<p>Required Qualifications</p>
<ul>
<li>Bachelor's, Master's, or Ph.D. in Data Science, Mathematics, Operations Research, Applied</li>
</ul><ul><li>Mathematics, Computational Science, or related fields.</li>
</ul><ul><li>Strong foundation in probability, statistics, and scientific problem-solving.</li>
</ul><ul><li>12+ years of hands-on experience in analytics, data science, and deep learning in business-critical environments.</li>
</ul><ul><li>3+ years of experience managing teams of 5 or more, preferably in applied science or cross-functional settings..</li>
</ul><ul><li>Proven track record of delivering high-impact, data-driven solutions to complex business problems.</li>
</ul><ul><li>Proficient in machine learning, deep learning, and explainable AI techniques, with the ability tocommunicate technical concepts to non-technical stakeholders.</li>
</ul><ul><li>Experience developing and deploying state-of-the-art ML models tailored to specific business needs.</li>
</ul><ul><li>Strong programming skills in Python and SQL; experience with feature engineering and deep learning pipelines.</li>
</ul><ul><li>Familiarity with deep learning frameworks such as TensorFlow, Keras, and PyTorch.</li>
</ul><ul><li>Experience with computer vision (e.g., OpenCV) and natural language processing (e.g., spaCy).</li>
</ul><ul><li>Skilled in the Design of Experiments for scientific testing and optimization.</li>
</ul><ul><li>Proficient in Git for version control and collaboration.</li>
</ul><ul><li>Working knowledge of cloud platforms such as AWS, GCP, and Azure.</li>
</ul><ul><li>Strong analytical thinking and structured problem-solving abilities.</li>
</ul><ul><li>Excellent communication and collaboration skills in cross-functional teams.</li><br>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Demonstrated leadership experience in mentoring junior engineers and managing cross-functional projects.</li>
</ul><ul><li>Proven innovation track record&mdash;solutions that delivered significant business impact or led to patents.</li>
</ul><ul><li>Self-motivated, proactive problem-solver with strong project ownership.</li>
</ul><ul><li>Domain knowledge or experience in recommendation systems, NLP, or computer vision.</li>
</ul><ul><li>Strong collaboration skills across multiple teams, with an ability to manage conflict and align priorities.</li></ul><p></p><div><p><br>
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.</p>
<p>
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.</p></div></div>

Senior Manager, Applied Science

Infosys

<div>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Marketing Strategy &amp; Planning: Develop and implement comprehensive marketing strategies aligned with our company's vision and target market opportunities in the AI-powered digital marketing space. Lead the development of annual marketing plans and objectives, ensuring alignment with overall business goals.
  </li>
  <li>
   Content Marketing &amp; Creation: Lead the creation and execution of engaging and informative content across various channels, including our website, blog, social media, email marketing, and other digital platforms. Develop compelling narratives that showcase the value and impact of AI-powered digital marketing solutions.
  </li>
  <li>
   Campaign Development &amp; Execution: Lead the development, execution, and optimization of integrated marketing campaigns across multiple channels. Utilize a data-driven approach, leveraging analytics and insights to drive campaign performance and achieve marketing objectives.
  </li>
  <li>
   AI-Powered Marketing Expertise: Maintain a deep understanding of AI-powered digital marketing technologies and solutions, including machine learning, natural language processing, predictive analytics, and personalized experiences. Identify and implement innovative AI-driven strategies to enhance marketing campaigns and drive results.
  </li>
  <li>
   Marketing Automation &amp; Technology: Lead the selection, implementation, and optimization of marketing automation platforms, CRM systems, and other relevant digital marketing technologies. Ensure efficient workflows, data integration, and campaign performance measurement.
  </li>
  <li>
   Team Management &amp; Collaboration: Lead and mentor a team of marketing specialists, providing guidance, training, and support to ensure high-quality deliverables. Collaborate effectively with cross-functional teams, including design, development, and sales, to ensure a cohesive and effective marketing strategy.
  </li>
  <li>
   Client Communication &amp; Engagement: Develop and maintain strong relationships with clients, communicating effectively, providing regular updates, and delivering exceptional service.
  </li>
 </ul>
</div>


Marketing Product Owner

DANIELE PESCARA MANAGEMENT CONSULTANCIES

<p>Job Title: Full-Stack Web Developer</p><p>Location: Dubai, UAE (Office-based)</p><p>Employment Type: Full-time</p><p>We are looking for a highly skilled and reliable Full-Stack Web Developer to join our team in Dubai.</p><p>The ideal candidate will be responsible for developing, maintaining, and optimizing company websites, landing pages, and digital systems, while working closely with marketing and business teams to support lead generation and performance growth.</p><p>This is an in-house role, requiring strong technical expertise, ownership mindset, and the ability to translate business requirements into scalable digital solutions, including the implementation of AI-powered features and automation where relevant.</p><p><b>Key Responsibilities</b></p><p>Web Development &amp; Programming</p><ul><li>Develop, maintain, and optimize company websites and landing pages</li><li>Build and manage front-end and back-end components</li><li>Implement responsive, mobile-first designs</li><li>Integrate APIs, third-party tools, internal systems, and AI services</li><li>Ensure website performance, security, and scalability</li></ul><p>Performance &amp; Optimization</p><ul><li>Improve website speed, Core Web Vitals, and SEO performance</li><li>Implement best practices for security, backups, and updates</li><li>Fix bugs, troubleshoot issues, and provide ongoing maintenance</li></ul><p>Digital Marketing &amp; Tracking Support</p><ul><li>Support Google Ads landing pages and conversion tracking</li><li>Implement GA4 and Google Tag Manager events</li><li>Assist with conversion optimization and A/B testing</li><li>Ensure proper data flow between ads, website, AI tools, and CRM systems</li></ul><p>Systems, Automation &amp; AI</p><ul><li>Implement and maintain AI-powered features (e.g. chatbots, smart forms, lead qualification tools)</li><li>Integrate AI APIs and automation tools into websites and internal systems</li><li>Automate lead handling, content workflows, and internal processes using AI where appropriate</li><li>Integrate CRM systems, marketing automation tools, and payment gateways</li><li>Build internal tools, dashboards, or client portals when needed</li><li>Maintain technical documentation for systems, workflows, and AI integrations</li></ul><p><b>Required Technical Skills</b></p><p>Core Development</p><ul><li>Strong knowledge of HTML5, CSS3, JavaScript</li><li>Front-end frameworks: React / Next.js / Vue (at least one)</li><li>Back-end experience: Node.js / PHP / Python</li><li>Databases: MySQL / PostgreSQL / MongoDB</li><li>API development and integrations (REST / JSON)</li><li>Version control: Git (GitHub / GitLab)</li></ul><p>Marketing, Analytics &amp; AI</p><ul><li>Google Analytics 4 (GA4)</li><li>Google Tag Manager</li><li>Basic understanding of Google Ads (conversion tracking, landing pages)</li><li>Technical SEO fundamentals</li><li>Experience integrating AI tools and APIs (e.g. chatbots, automation, smart workflows)</li><li>Understanding of data security and privacy when working with AI systems</li></ul><p>CMS &amp; Tools</p><ul><li>Experience with WordPress or Headless CMS</li><li>Familiarity with Figma or similar design tools</li><li>Hosting &amp; deployment (AWS, VPS, or similar)</li></ul><p><b>Experience Requirements</b></p><ul><li>5+ years of professional web development experience</li><li>Proven experience working on business or corporate websites</li><li>Experience supporting lead generation, performance-driven, or AI-enhanced websites</li><li>Prior in-house or agency experience is a strong advantage</li></ul><p>Soft Skills &amp; Work Style</p><ul><li>Strong sense of ownership and responsibility</li><li>Ability to translate business needs into technical and AI-enabled solutions</li><li>Clear communication with non-technical stakeholders</li><li>Organized, structured, and deadline-oriented</li><li>Comfortable working on-site with management team</li></ul><p>Nice to Have (Strong Advantage)</p><ul><li>Experience with CRM integrations (HubSpot, Zoho, Salesforce)</li><li>Marketing automation tools (email flows, lead scoring)</li><li>A/B testing tools (Hotjar, Clarity)</li><li>Multilingual websites</li><li>UI/UX understanding</li><li>Knowledge of GDPR and data protection basics</li><li>Experience with no-code / low-code automation tools (Zapier, Make, n8n)</li></ul><p><b>What We Offer</b></p><ul><li>Stable in-house position in a fast growing company</li><li>Direct collaboration with management team</li><li>Opportunity to own and shape the company&rsquo;s digital and AI infrastructure</li><li>Competitive salary (based on experience)</li><li>Long-term growth and responsibility</li></ul><p><b>Ideal Candidate Profile </b></p><p>✓ Senior-level full-stack developer</p><p>✓ Reliable, Fast, Accurate</p><p>✓ Business- and growth-oriented mindset</p><p>✓ Comfortable with AI implementation and automation</p><p>✓ Seeks stability, ownership, and long-term impact</p><p>Job Type: Full-time</p>

Full Stack Web Developer

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