ai team lead

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><p><br>
As part of SAP&rsquo;s Application AI organization, you&rsquo;ll lead a team at the forefront of enterprise AI innovation. You&rsquo;ll shape how SAP&rsquo;s customers plan, build, and visualize with generative AI&mdash;across Sales, Marketing, Finance, HR, and beyond. By joining Experience Generation, you&rsquo;ll have the opportunity to lead talented engineers, collaborate with researchers and product visionaries, and deliver technologies that redefine how businesses operate.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p><p>
As an Engineering Manager, you will lead a team of talented engineers building the next generation of SAP&rsquo;s generative-AI services. You&rsquo;ll provide technical and people leadership, ensuring our projects deliver both innovation and enterprise reliability. Working closely with product managers, researchers, and partner teams across SAP, you&rsquo;ll shape roadmaps, remove execution barriers, and build a high-performing engineering culture.</p><p></p><p><b><br>
Key Responsibilities</b></p><ul><li><p>
Lead, mentor, and grow a cross-functional team of engineers (junior to senior) delivering production-grade AI workflows.</p></li><li><p>
Drive technical execution for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.</p></li><li><p>
Partner with product leadership to define roadmaps that balance innovation with enterprise-grade scalability, governance, and security.</p></li><li><p>
Ensure engineering excellence through code reviews, architectural oversight, and best practices in testing, deployment, and monitoring.</p></li><li><p>
Foster a culture of collaboration, continuous learning, and experimentation within the team.</p></li><li><p>
Coordinate with SAP AI platform teams (e.g., GenAI Hub, BTP, HANA Cloud) to align on shared infrastructure and governance standards.</p></li><li><p>
Translate cutting-edge research (e.g., LLMs, RAG, diffusion, multimodal) into scalable, trusted enterprise solutions.</p></li><li><p>
Manage delivery timelines, resource allocation, and stakeholder communication.</p></li></ul><p></p><p><b><br>
What You Bring:</b></p><ul><li><p>
8+ years of professional experience in software or machine learning engineering, including at least 2+ years in engineering management or technical leadership roles.</p></li><li><p>
Strong technical background in ML/AI (LLMs, embeddings, multimodal generation, or agentic systems).</p></li><li><p>
Proficiency in Python or another language such as Go or TypeScript, and understanding of distributed systems is highly desirable.</p></li><li><p>
Experience leading teams working with cloud-native infrastructure (Kubernetes, AWS/Azure), data platforms (Postgres, Cassandra, vector databases), and modern frontend frameworks (React/Next.js).</p></li><li><p>
Proven ability to deliver production AI systems at scale with attention to quality, reliability, and security.</p></li><li><p>
Demonstrated success in mentoring engineers, fostering team growth, and creating an inclusive, high-performance culture.</p></li><li><p>
Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.</p></li></ul><p></p><p><b><br>
Meet Your Team:</b></p><p>
The Experience Generation team at SAP is transforming how enterprises move from an idea to a production-ready outcome. Our trio of generative-AI services&mdash;<b>Deep Research &amp; Planning</b>, <b>Experience Builder</b>, and <b>Visual Services</b>&mdash;empower business users to create strategic plans, role-aware micro-apps, and branded commerce imagery in minutes. Every output remains anchored to governed enterprise data and standards, ensuring both agility and trust.</p><p>
Our platform combines a React/Next.js front end, a Python + FastAPI backend orchestrating LangGraph sub-agents, and Gardener-managed Kubernetes for scale. Data persistence spans Postgres, Cassandra, and HANA Cloud&rsquo;s new vector engine, with SAP&rsquo;s Generative AI Hub providing foundation model choice and governance. Together, these systems deliver an enterprise-grade substrate for controllable, scalable AI workflows across all SAP lines of business.</p><p>
#SAPInternalT4PM</p><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.<br>
<br>
<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 433529 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Machine Learning Engineer Manager

Lucidya

<div><p>Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.</p><p>
As an AI Research Lead, you will be responsible for designing and executing research projects, publishing findings in prestigious conferences and journals, and collaborating with cross-functional teams to implement AI solutions in real-world applications. You will play a critical role in fostering a culture of experimentation and continuous learning within the organization.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes.</li>
<li>Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research.</li>
<li>Mentor junior researchers and promote knowledge sharing within the team.</li>
<li>Collaborate with product teams to identify opportunities for AI integration and drive product innovation.</li>
<li>Publish high-impact research papers and presentations at leading conferences.</li>
<li>Build strong partnerships with academic institutions and industry leaders to foster collaboration.</li>
<li>Develop frameworks for evaluating and validating AI models in real-world scenarios.</li>
</ul><p><b>Requirements</b></p><ul>
<li><b>
Education:</b></li>
<li><ul><li>Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li></ul></li>
<li><b>Experience:</b></li>
<li><ul><li>5+ years in AI research, leading projects from concept to deployment.
</li><li>Strong background in developing and implementing ML models in production.
</li><li>Proficient in TensorFlow, PyTorch, and Scikit-learn.
</li><li>Published work in top AI conferences and journals.
</li><li>Experienced in writing and securing research proposals.</li>
</ul></li><li><b>Technical Skills:</b></li>
<li><ul><li>Strong programming skills in Python and experience with data manipulation and statistical analysis.</li>
<li>Solid understanding of AI concepts, algorithms, and best practices.</li>
<li>Familiarity with big data technologies such as Hadoop or Spark is a plus.</li>
</ul></li><li><b>Soft Skills:</b></li>
<li><ul><li>Excellent communication skills, both written and verbal, for presenting research findings.</li>
<li>Strong leadership and mentoring abilities.</li>
<li>Ability to work collaboratively in a team-oriented environment.</li>
</ul></li><li><b>Other:</b></li>
<li><ul><li>Willingness to travel for collaboration with research partners and conferences.</li></ul></li>
</ul><p><b>
Benefits</b></p><h3 class="jobSectionHeader"><b>
Why Join Us?</b></h3><p>
This is more than just an engineering role&mdash;it&rsquo;s an opportunity to <b>shape the infrastructure and technical future of Lucidya</b>. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.</p><p>
We offer <b>Employee Stock Option Plans (ESOP)</b> to give you ownership in the company&rsquo;s success, along with <b>performance-based bonuses</b> to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</p></div>

AI Research Lead

Takamol Holding

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <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

Finance House

Summary <p>We are seeking a highly skilled Manager - AI Programs to spearhead the creation and implementation of the AI function at Finance House. This role is an exciting opportunity to build and lead a cutting-edge AI team from the ground up, driving innovation and transforming our services through the application of advanced artificial intelligence technologies. The ideal candidate will have strong leadership skills, a deep understanding of AI technologies, and experience in shaping AI use cases for large organizations.</p> Major Responsibilities <ul><li><b>AI use cases:</b> Identify & deliver the AI use cases across the prioritized value chains, domains, and sub domains for Finance House, aligning with our AI strategy, business goals and industry trends. Set clear priorities for AI adoption, focusing on business impact, customer experience, and operational efficiency.</li><li><b>Collaboration:</b> Work closely with senior stakeholders across departments (e.g., IT, Risk, Compliance, Audit, Information Security and Finance) to identify opportunities for AI-driven improvements in processes, customer services, and product offerings.</li><li><b>AI Tools:</b> Define and implement the necessary AI tools, agentic AI, and technologies to support use case delivery while ensuring the tech stack remains lean and unified. This also entails supporting IT in building a scalable AI infrastructure.</li><li><b>AI Project Management:</b> Oversee the development and deployment of AI projects, ensuring that they meet FH's objectives, are delivered on time, and comply with regulatory standards. Prioritize projects based on impact and feasibility.</li><li><b>Data Governance & Compliance:</b> Ensure all AI initiatives comply with relevant financial industry regulations and data privacy laws. Establish and enforce best practices in data governance, model transparency, and ethical AI usage.</li><li><b>Team Leadership:</b> In the medium term, build and lead a cross-functional AI team, including data scientists, machine learning engineers, and AI specialists. Mentor and provide guidance to team members to foster a collaborative and innovative culture.</li><li><b>Performance Monitoring & Optimization:</b> Develop metrics and performance indicators to monitor the success of AI initiatives. Continuously assess and improve AI models, algorithms, and processes to ensure optimal results.</li><li><b>Innovation & Research:</b> Stay abreast of the latest developments in AI, machine learning, and related fields. Propose new AI technologies and methodologies that can be adopted to gain a competitive edge.</li></ul> Qualifications <ul><li><b>Education:</b> A Bachelor's or Master's Degree in Computer Science, Engineering, Data Science, or a related field. Additional certifications or qualifications in AI/ML are a plus.</li><li><b>Experience:</b> Minimum of 5-8 years of experience in AI, Machine Learning, or Data Science, with at least 3 years in a leadership or managerial role. Proven track record of setting up and leading AI teams within large organizations or financial institutions. Previous experience in banking or fintech with a focus on AI and data-driven transformation. Experience managing AI projects, including scoping, execution, and delivery within a regulated environment. Strong understanding of financial services, banking products, and industry challenges is highly preferred.</li><li><b>Skills:</b> Strong knowledge in AI and machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Strong knowledge of data engineering, cloud platforms (AWS, Oracle, Azure), Experiment Management Platforms and distributed computing. Familiarity with natural language processing (NLP), computer vision, and AI-driven automation technologies. Familiarity with model deployment and serving tools - MLOps, observability tools. Familiarity with financial industry regulations and their implications on AI. Strong analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills, with the ability to present complex technical concepts to non-technical stakeholders. Leadership and people management skills, with the ability to inspire and motivate a team.</li></ul> Employment details <ul><li><b>Seniority level:</b> Mid-Senior level</li><li><b>Employment type:</b> Full-time</li><li><b>Job function:</b> Project Management, Strategy/Planning, and Research</li></ul><img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV84MBx3%2bkaRW7cH%2fD70jwR4w" width="0" height="0" />

Manager - AI Programs

CrecenTech

<p>We are looking for a strategic and technically skilled AI/ML Lead to define and drive our organization&rsquo;s artificial intelligence roadmap. This key leadership position blends advanced hands-on AI/ML development with strategic oversight. The ideal candidate will design and deliver scalable AI solutions, lead engineering teams, and embed intelligent capabilities into our core platforms and products. We seek someone who is both visionary and results-driven&mdash;capable of turning complex business needs into real-world, impactful AI applications.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and deploy end-to-end AI/ML solutions across areas such as:</li><li><b>Computer Vision</b>: Object detection, OCR, facial recognition</li><li><b>Natural Language Processing (NLP)</b>: Semantic search, chatbots, summarization</li><li><b>AI Agents &amp; Knowledge Bots</b>: RAG (retrieval-augmented generation), agentic workflows</li><li><b>Predictive Analytics</b>: Classification, forecasting, and recommendations</li><li>Customize and fine-tune pre-trained and open-source models using production data</li><li>Integrate AI capabilities into platforms such as <b>StaffViz</b> and internal CRMs</li><li>Architect AI systems utilizing vector databases, knowledge bases, and RAG methods</li><li>Mentor engineering teams on AI/ML tools, methodologies, and best practices</li><li>Collaborate closely with DevOps and software teams for smooth deployments</li><li>Stay current with industry advancements in AI, research trends, and tools</li></ul><p><b>Required Technical Skills:</b></p><ul><li>Strong command of <b>Python</b>, <b>PyTorch</b>, <b>TensorFlow</b>, <b>Scikit-learn</b></li><li>Experience with frameworks like <b>Hugging Face Transformers</b>, <b>LangChain</b>, <b>LlamaIndex</b>, <b>Haystack</b></li><li>API development using <b>FastAPI</b> or <b>Flask</b></li><li>Solid understanding of <b>Docker</b>, <b>Git</b>, and CI/CD workflows</li></ul><p><b>Hands-on Expertise In:</b></p><ul><li><b>Computer Vision</b>: YOLOv8, Detectron2, SAM, CLIP, OpenCV</li><li><b>LLMs/NLP</b>: LLaMA 2, Falcon, Mistral, T5, GPT-J, Zephyr, Orca</li><li><b>Speech AI</b>: Whisper, Coqui TTS, ESPnet</li><li><b>AI Agents</b>: CrewAI, AutoGPT, BabyAGI</li><li><b>Vector Databases</b>: Weaviate, Pinecone, ChromaDB, FAISS</li><li><b>Predictive Modeling</b>: XGBoost, LightGBM, Prophet</li></ul><p><b>Preferred Tools &amp; Experience:</b></p><ul><li>Experiment tracking with <b>MLFlow</b> or <b>Weights &amp; Biases</b></li><li>Familiarity with cloud-based AI services (AWS, GCP, Azure)</li></ul><p><b>Leadership &amp; Collaboration:</b></p><ul><li>Proven team leadership and mentoring experience</li><li>Strong communication and problem-solving skills</li><li>Ability to manage cross-functional initiatives in dynamic environments</li></ul><p><b>Qualifications:</b></p><ul><li>8+ years of experience in AI/ML development</li><li>At least 4 years in a technical or team leadership role</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related fields</li><li>Demonstrated success in delivering AI solutions from concept to production</li></ul><p><b>Employee Benefits:</b></p><ul><li>13 Salaries Per Year (1 Salary as a Bonus)</li><li>At least two bonuses per year (Eid Bonus)</li><li>Monthly Punctuality Allowance</li><li>Monthly Inflation Allowance</li><li>Performance-Based Bonuses</li><li>Annual Leaves Encashment</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Double salary on Gazetted Holidays</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul><p><b>Job Location: Model Town Link Road, Lahore</b><br/><b>Job Timings: Evening Shift</b></p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Have you deployed AI/ML models into production environments using tools like FastAPI, Docker, and CI/CD pipelines?</li><li>What are your salary expectations?</li><li>Are you comfortable working evening shifts?</li><li>Have you fine-tuned or deployed large language models (LLMs) such as LLaMA 2, Falcon, or Mistral?</li><li>Are you familiar with cloud AI services like AWS SageMaker, Google Vertex AI, or Azure ML?</li><li>Have you spent a minimum of 4 years in a technical leadership or team lead role?</li></ul><p>Experience:</p><ul><li>AI/ML: 8 years (Preferred)</li></ul><p>Work Location: In person</p>

Senior Lead AI/ML Engineer

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, Machine Learning, Perception

Applied Systems

<div>Job Description:
<div><b>
Amazing Career Moments Happen Here</b></div><div>
Transforming the insurance industry is ambitious, we know. That&rsquo;s why at Applied, we&rsquo;re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers &ndash; all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the insurtech game, we&rsquo;re not just redefining what&rsquo;s achievable, we&rsquo;re creating a place where amazing career moments are made possible.</div><div></div><div><b><br>
Position Overview</b></div><p>
We are seeking a Manager, Engineering (AI Engineering) to guide a technical team. This role will provide expertise to ensure effective delivery and a high-quality results throughout the development of AI-based services.</p><div></div><div><b><br>
What You&rsquo;ll Do</b></div><ul><li>
Lead a team of engineers and data scientists to deliver a suite of AI-based services</li><li>
Provide professional and technical leadership with impactful guidance, coaching, and feedback</li><li>
Empower the team with clear goals and a data-informed approach to ensure excellence</li><li>
Identify opportunities for continuous improvement with the team</li><li>
Collaborate with Product Mgmt., Architecture, and other Engineering Leaders to define and plan work</li><li>
Monitor active work to manage risk, escalate blockers, and ensure delivery goals</li><li>
Collaborate with other internal teams to ensure alignment and achieve shared roadmap milestones</li></ul><div></div><div><b><br>
We&rsquo;re Excited to Learn More About You</b></div><div>
Your experience should include:</div><ul><li>
8+ years of experience creating high quality and scalable solutions</li><li>
8+ years of experience confirming requirements, technical designs, testing, and production readiness</li><li>
3+ years managing engineering teams and providing feedback to ensure velocity and quality</li><li>
Ability to provide coaching and guidance on software development best practices, DevOps, Security best practices, and cloud native architecture</li><li>
Technical leadership of Generative AI initiatives</li><li>
Knowledge of software development lifecycle methodology and testing practices</li><li>
Ability to recruit, develop, and retain technical teams</li><li>
Experience with Scrum practices and tools like Jira and Confluence</li><li>
Bachelor&rsquo;s Degree in Computer Science, MIS, or CIS, or equivalent work experience
<ul><li>We proudly support and encourage people with military experience, as well as military spouses, to apply</li></ul></li></ul><div></div><div><b><br>
When You Join Team Applied, You Can Expect:</b></div><div></div><div><b><br>
A culture that values who you are </b>and recognizes that you aren&rsquo;t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.</div><div></div><div><b><br>
We flex our time together</b>, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.</div><div></div><div><b><br>
A comprehensive benefits and compensation package </b>that centers our teammates and helps them to bring their best to work every day:</div><div>
Medical, Dental, and Vision Coverage</div><div>
Holiday and Vacation Time</div><div>
Health &amp; Wellness Days</div><div>
A Bonus Day for Your Birthday</div><div></div><div><br>
Our targeted starting base salary in the United States for this position ranges from $115,000 - $175,000. To determine a new team member&rsquo;s starting pay, we consider a variety of factors, including someone&rsquo;s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.</div><div><br>
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Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/</div><div></div><div><b><br>
Your Security Matters:</b><br>
 Our candidates&rsquo; personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.</div><div></div><div><b><br>
EEO Statement</b></div><div><i>
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we </i><i>don&rsquo;t</i><i> discriminate, and we are committed to recruit, develop, </i><i>retain</i><i>, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.</i></div><div></div><div><br>
#LI-Remote</div></div>

Manager, Engineering (AI)

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