machine learning engineering manager

Motive

<div>
 
 Who We Are
 
 
 
 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.
 
 
 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.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 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.
 
 
 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.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 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.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 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.
 
</div>

Engineering Manager, Computer Vision

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 
 Team Leadership
 
 
 
 <ul>
 <li>
 Lead a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms.
 </li>
 <li>
 Mentor Senior, Middle, and Junior Engineers, ensuring alignment with engineering standards and ML project requirements.
 </li>
 <li>
 Set short-, mid-, and long-term goals for the team, continuously supporting skill growth in software engineering and ML system design.
 </li>
 <li>
 Coordinate with Product, Data Science, QA, DevOps, and Platform Leads to ensure the successful delivery of AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Architecture &amp; System Design
 
 
 
 <ul>
 <li>
 Drive end-to-end architecture and design for AI/ML applications, model-serving infrastructure, and Python backend services.
 </li>
 <li>
 Oversee architectural decisions for scalable model deployment (REST APIs, streaming pipelines, batch systems), ensuring performance, reliability, and maintainability.
 </li>
 <li>
 Define standards for feature engineering pipelines, data ingestion flows, and integration with MLOps platforms.
 </li>
 <li>
 Break down complex AI/ML initiatives into actionable engineering tasks and clear technical roadmaps.
 
 
 </li>
 </ul>
 
 AI/ML System Delivery
 
 
 
 <ul>
 <li>
 Collaborate with Data Scientists to productionize ML models, ensuring reproducibility, versioning, and monitoring.
 </li>
 <li>
 Lead implementation of model-serving frameworks, vector databases, data processing jobs, and inference optimization strategies.
 </li>
 <li>
 Ensure adherence to best practices in experiment tracking, model evaluation, and A/B testing for ML features.
 
 
 </li>
 </ul>
 
 Process Improvement &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Improve development workflows, CI/CD pipelines, and ML lifecycle automation.
 </li>
 <li>
 Promote coding standards, technical documentation, and reduction of technical debt across AI/ML projects.
 </li>
 <li>
 Introduce new tools and technologies that enhance model performance, data quality, and engineering productivity.
 
 
 </li>
 </ul>
 
 Recruitment, Culture &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Participate in hiring for both backend and ML-focused engineering roles.
 </li>
 <li>
 Facilitate knowledge-sharing sessions around ML system architecture, Python best practices, and cloud-native development.
 </li>
 <li>
 Strengthen team culture through collaboration, mentorship, and proactive communication.
 
 
 </li>
 </ul>
 
 Incident Management &amp; Reliability
 
 
 
 <ul>
 <li>
 Oversee reliability of AI/ML services, including model drift detection, data quality monitoring, and performance metrics.
 </li>
 <li>
 Coordinate incident response, root-cause analysis, and cross-team escalations for production ML systems.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.
 </li>
 <li>
 Experience in logistics solutions or related fields.
 </li>
 <li>
 Advanced degrees (MSc/PhD) in AI/ML or Applied Data Science are a plus.
 </li>
 <li>
 Strong communication skills, able to explain complex ML workflows and architectural decisions to technical and business stakeholders.
 </li>
 <li>
 Data-driven decision-making and the ability to justify improvements using metrics.
 </li>
 <li>
 Balanced leadership mindset&mdash;capable both of delegating and of hands-on deep technical work.
 </li>
 <li>
 Comfortable navigating ambiguity and aligning stakeholders in AI-driven product contexts.
 
 
 </li>
 </ul>
 
 Python &amp; Backend Engineering
 
 
 
 <ul>
 <li>
 Expert-level Python developer with strong understanding of backend frameworks (FastAPI, Flask, Django) and microservices patterns.
 </li>
 <li>
 Strong grounding in algorithms, distributed systems, and scalable backend architecture.
 
 
 </li>
 </ul>
 
 AI/ML Engineering
 
 
 
 <ul>
 <li>
 Experience deploying ML models to production (batch, real-time, streaming).
 </li>
 <li>
 Knowledge of ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and model-serving technologies (like TorchServe, MLflow, SageMaker, Vertex AI, etc.).
 </li>
 <li>
 Experience with vector databases, feature stores, and embedding-based search is a strong plus.
 
 
 </li>
 </ul>
 
 MLOps &amp; Cloud
 
 
 
 <ul>
 <li>
 Hands-on experience with CI/CD for ML systems, containerization (Docker), orchestration, and cloud environments (AWS/GCP).
 </li>
 <li>
 Familiarity with monitoring tools for ML pipelines: logging, metrics, tracing, model drift detection.
 
 
 </li>
 </ul>
 
 Data, Storage &amp; Integration
 
 
 
 <ul>
 <li>
 Strong understanding of data pipelines, ETL/ELT workflows, and both relational and NoSQL databases.
 </li>
 <li>
 Ability to design caching, queuing, and event-driven architectures supporting ML workflows.
 
 
 </li>
 </ul>
 
 Quality &amp; Reliability
 
 
 
 <ul>
 <li>
 Establishes testing standards for data validation, model correctness, API reliability, and system performance.
 </li>
 <li>
 Drives observability across AI services and ensures robust monitoring coverage.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more &ndash; all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed
 
 : &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 
 🏅Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results
 
 : &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes
 
 &ndash; Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters
 
 &ndash; Learning budgets, access to courses, and tools for your growth.
 
 
 🚒
 
 Builder&rsquo;s Playground
 
 &ndash; Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off
 
 &ndash; We take recharging seriously. Generous leave and wellness policies.
 
 
 🛠️
 
 Agile Everything
 
 &ndash; Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Great Place to Work&reg; Certified
 
 
 
 We&rsquo;re certified as a Great Place to Work&reg;, a recognition that celebrates a culture we&rsquo;ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
 
 
 
 Certified for Excellence
 
 
 
 Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build apps. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

Tech Lead – Logistics Systems

CrossWorkers

<div>Title: Senior Python Engineer (Machine Learning) 
Industry: IT Software 
Reporting Line: Engineering Manager / Technical Lead 
Position Type: Full Time 
Location: Cairo Office, New Cairo
We are looking for a highly skilled and experienced Senior Python Engineer (Machine Learning) to join our engineering team. This role involves building, deploying, and maintaining machine learning solutions with a strong focus on Python development, MLOps practices, and image processing pipelines, serving European clients across various industries.<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
Backend &amp; Python Development:<ul><li>
Design, develop, and maintain scalable backend services using Python.</li><li>
Build and optimize APIs using FastAPI for ML-driven applications.</li><li>
Ensure high performance, security, and reliability of backend systems.</li><li>
Write clean, maintainable, and well-documented code following best practices.</li></ul>
Machine Learning &amp; AI:<ul><li>
Develop, train, and optimize machine learning models using TensorFlow.</li><li>
Apply hands-on machine learning techniques to solve real-world business problems.</li><li>
Work closely with data scientists and product teams to translate requirements into ML solutions.</li></ul>
Image Processing:<ul><li>
Implement image preprocessing pipelines including data cleaning, augmentation, and transformation.</li><li>
Optimize image-based ML workflows for accuracy and performance.</li><li>
Handle large-scale image datasets efficiently.</li></ul>
MLOps &amp; Deployment:<ul><li>
Implement and maintain MLOps pipelines for model training, testing, deployment, and monitoring.</li><li>
Automate model versioning, retraining, and performance tracking.</li><li>
Ensure smooth deployment of ML models into production environments.</li></ul>
Collaboration &amp; Code Quality:<ul><li>
Collaborate with cross-functional teams including frontend, DevOps, and product managers.</li><li>
Participate in code reviews and contribute to architectural decisions.</li></ul><h3 class="jobSectionHeader">
Desired Skills:</h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>
5+ years of experience in Python development.</li><li>
Advanced proficiency in Python, with strong experience using FastAPI.</li><li>
Hands-on experience with machine learning and TensorFlow.</li><li>
Solid experience in MLOps, including model deployment and monitoring.</li><li>
Strong experience in image preprocessing and computer vision workflows.</li><li>
Familiarity with cloud platforms, containers, and CI/CD pipelines is a plus.</li><li>
Strong problem-solving skills and attention to detail.</li><li>
Excellent command of English, both written and verbal.</li></ul><h3 class="jobSectionHeader">
What We Offer:</h3><ul><li>
Competitive salary.</li><li>
Bus service.</li><li>
Social &amp; Medical insurance.</li><li>
Good office environment, work conditions, and technical equipment.</li><li>
Personal development plans.</li><li>
Flexible working environment.</li><li>
Quick career growth.</li><li>
A strong organizational focus on work-life balance, integrated into how we do business.</li></ul><h3 class="jobSectionHeader">
About CrossWorkers</h3>
We are a Danish-owned software offshoring company, providing European clients with professional Egyptian developers.
We have been in business since 2009, delivering high-quality software development services. Our headquarters are in Copenhagen, Denmark, with our Offshore Development Center located in Fifth Settlement, New Cairo.
We also operate in Sweden, Norway, Finland, Switzerland, the UK, Germany, and Bahrain.</div>

Senior Python Engineer (Machine Learning)

Nizzcorp

Job Description: AI &amp; Machine Learning Trainer InternPosition: Trainer Intern &ndash; Artificial Intelligence, Machine Learning &amp; Generative AIOrganization: NizzCorpLocation: Malappuram, Kerala (On-site/Hybrid, as applicable)Duration: 3 MonthsReporting To: Program Manager / Lead TrainerAbout the Role:The AI, ML &amp; Generative AI Trainer Intern will support training delivery, content creation, and project guidance across Artificial Intelligence, Machine Learning, Deep Learning, and modern GenAI technologies.This role is especially suitable for Master&rsquo;s graduates and Professionals (MSc/M.Tech/B.Tech) who want hands-on teaching experience and exposure to cutting-edge AI tools, including Large Language Models (LLMs), LangChain, RAG pipelines,Fine Tuning, and prompt engineering.Key Responsibilities1. Training &amp; FacilitationAssist in delivering sessions on Python, Machine Learning, Deep Learning, LLMs, and Generative AI.Support practical labs involving model building, fine-tuning, and deployment workflows.Conduct doubt-clearing, hands-on demos, and individualized learning support.2. GenAI &amp; LLM Tools Hands-onIntroduce students to LLMs (GPT, Llama, Mistral, etc.), prompt engineering, embeddings, and vector databases.Assist in teaching frameworks like LangChain, LlamaIndex, HuggingFace Transformers, and RAG implementation.Help students run GenAI projects such as chatbots, AI assistants, and automation tools.3. Content &amp; Curriculum DevelopmentDevelop course content, slides, assessments, and GenAI project templates.Create code examples for ML algorithms, LLM applications, LangChain workflows, and dataset pipelines.Update the curriculum based on the latest advancements in AI and GenAI ecosystems.4. Project GuidanceMentor students in building ML and AI applications including:ML prediction systemsDeep learning modelsLLM-powered chatbotsRAG systemsAutomation tools using LangChainReview and troubleshoot project submissions.5. Research &amp; Tools ExplorationExplore and demonstrate new AI tools such as:HuggingFace, OpenAI APIsVector stores (FAISS, Pinecone, Chroma)Model monitoring, dataset curation toolsPrepare short demos or applied use cases for training sessions.6. Academic Support &amp; CoordinationAssist in assessments, student progress tracking, and classroom coordination.Work with the program manager and trainers for smooth program execution.Maintain a supportive and engaging learning environment.Required Skills &amp; KnowledgeTechnical SkillsStrong Python programming foundation.Understanding of Machine Learning algorithms and pipelines.Familiarity with NumPy, Pandas, Matplotlib, Scikit-learn.Basic knowledge of Deep Learning frameworks (TensorFlow/Keras/PyTorch).Exposure to LLMs, ChatGPT API, LangChain, HuggingFace, or vector databases.Understanding of RAG, embeddings, tokenization, and model fine-tuning is a plus.Soft SkillsExcellent communication and presentation skills.Ability to simplify complex technical concepts.Good mentoring attitude, patience, and teamwork.Strong learning mindset and adaptability.EligibilityMaster&rsquo;s graduates or Professionals preferred:MSc (CS/AI/Data Science)M.Tech (CSE/AI/Data Science/Maths/Physics)Bachelor&rsquo;s graduates: B.Tech (CSE/IT/AI/DS) or equivalent can also apply.Candidates with ML/GenAI projects, GitHub portfolios, or research exposure will be prioritized.What You Will GainHands-on training experience in AI, ML, DL, and Generative AI.Deep exposure to practical LLM workflows, LangChain applications, and GenAI development.Opportunity to assist real student projects and academic processes.Internship certificate upon successful completion.Faster pathway to roles like AI Trainer, ML Engineer, or GenAI Developer.Job Type: Internship Contract length: 3 monthsWork Location: In person

AI & Machine learning trainer intern

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field. Job Summary As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption. Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a PLUS.</li> </ul>

Data Science Manager

Skyworks Solutions

<div><div>Division: Information Technology</div><div>
Employment Status: Exempt</div><div>
Salary Grade: 111</div><div>
Shift:
</div><div>Requisition ID: 76164</div><div>
Please be aware that if you are selected to formally interview for an internal position you will be required to notify your current manager. Please refer to the Employee Transfers Guidelines posted on Skylink.</div><div>
</div><div><div><div><h2 class="jobSectionHeader">
Description</h2></div><div>
Seeking a passionate, hands on technical AI /ML experienced engineer to join our growing team and solve exciting engineering problems in the semiconductor space. This position will work closely with multidisciplinary teams, product managers, Data engineers, data scientists, and business stakeholders to bring AI solutions to production.</div></div><div><div><h2 class="jobSectionHeader">
Responsibilities</h2></div><div><ul><li>
 Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring.</li><li>
Lead the implementation of containerized ML workloads using Kubernetes.</li><li>
Design and Develop ML Models for high impact engineering solutions. Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute.</li><li>
Automate model lifecycle management including versioning, rollback, and performance tracking.</li><li>
 Ensure high availability, security, and compliance of ML systems.</li><li>
 Develop infrastructure as code using tools like Terraform or Helm.</li><li>
 Establish and enforce best practices for model governance and reproducibility.</li><li>
Lead and mentor a team of AI/ML engineers and ML operations specialists, fostering a collaborative and innovative environment.</li><li>
Design, implement, and maintain scalable and reliable machine learning infrastructure and pipelines.</li><li>
Establish best practices for model development, deployment, monitoring, and lifecycle management.</li><li>
Collaborate with data scientists and engineers to productionize ML models.
</li><li>Manage and optimize cloud and on-premises resources for efficient training, serving, and experimentation of machine learning models.</li><li>
Ensure compliance with data privacy, security, and ethical standards in all AI/ML operations.</li><li>
Automate processes for continuous integration and deployment (CI/CD) of machine learning models.</li><li>
Drive adoption of MLOps tools and technologies, championing innovation and efficiency.</li><li>
Develop documentation, training programs, and onboarding resources for new team members and stakeholders.</li><li>
Establish metrics and KPIs to measure the quality and impact of AI/ML models in production environments.</li><li>
Stay current with industry trends, research, and emerging technologies, integrating relevant advances into operational practices.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Required Experience and Skills</h2></div><div><ul><li>
Bachelor with minimum 12+ years of professional experience in machine learning, artificial intelligence, or related fields. Preferably with a Master&rsquo;s degree or A PhD or relevant research experience would be a plus. in Computer Science, Engineering, Mathematics, Statistics, or a related field.</li><li>
Extensive experience with Kubernetes and container orchestration.</li><li>
Proficiency in Python and Bash scripting.
</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
</li><li>Familiarity with cloud platforms (Azure(preferred), GCP).
</li><li>Knowledge of CI/CD tools and monitoring systems.</li><li>
Experience managing and guiding AI/ML engineering and operations team.</li><li>
Extensive expericence in MLOps practices: monitoring, scaling, and automating ML workflows</li><li>
Experience with big data platforms: Databricks, Hadoop, Spark, Dataflow, etc or comparable products</li><li>
Familiarity with advanced topics such as reinforcement learning, generative models, or explainable AI</li><li>
Knowledge of neural networks, deep learning architectures such as CNNs, RNNs, Transformers and Generative AI.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Desired Experience and Skills</h2></div><div><ul><li>
Experience with MLflow, or similar platforms.
</li><li>Exposure to data versioning tools like DVC or Databricks Delta Lake.
</li><li>Understanding of model explainability and compliance frameworks.</li><li>
Proficiency in programming languages such as Python (preferred), Java, or C++ .7 years experience</li><li>
Deep understanding of machine learning frameworks: PyTorch, scikit-learn, Keras, etc.</li><li>
Experience with data manipulation tools: NumPy, SQL, Pandas</li><li>
Familiarity with cloud and Data computing platforms: Azure, Azure DevOps, DataBricks or comparable platforms like GCP, BIgQuery</li><li>
Knowledge of containerization and orchestration: Docker, Kubernetes</li><li>
Experience in deploying machine learning models to production</li><li>
Understanding of software engineering best practices: version control (Git), unit testing, CI/CD pipelines</li></ul></div></div></div>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</div>

Senior Manger of AI/ML Ops

<div><div>Division: Information Technology</div><div>
Employment Status: Exempt</div><div>
Salary Grade: 108</div><div>
Shift:
</div><div>Requisition ID: 76462</div><div>
Please be aware that if you are selected to formally interview for an internal position you will be required to notify your current manager. Please refer to the Employee Transfers Guidelines posted on Skylink.</div><div>
</div><div><div><div><h2 class="jobSectionHeader">
Description</h2></div><div>
Seeking a passionate, handson technical AI /ML engineer to join our growing team and solve exciting engineering problems in semiconductor space. The nature of problems are wide ranging giving an opportunity to grow continuously. This position will work closely with multidisciplinary team, product managers, Data engineers, data scientists, and business stakeholders to bring AI solutions to production</div></div><div><div><h2 class="jobSectionHeader">
Responsibilities</h2></div><div>
Key Responsibilities<ul><li>
Design and Develop ML Models for high impact engineering solutions. Build, train, and optimize machine learning and deep learning models to solve complex problems using natural language processing, computer vision, and predictive analytics. Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute.</li><li>
Data Collection and Preprocessing: Python preprocessing for structured and unstructured data [numeric, images, videos and documents)</li><li>
Feature Engineering: Identify, extract, and transform relevant features from raw data to improve model performance and interpretability.</li><li>
Model Evaluation and monitoring: Assess model accuracy and robustness using statistical metrics and validation techniques.</li><li>
Deployment and Integration: Knowledge of Kubernetes, Flask, Ray Serve, Azure Devops, ONNX, or cloud-based solutions. .</li><li>
Research and Innovation: Stay abreast of the latest developments in AI/ML research and technologies. Experiment with new algorithms, tools, and frameworks to drive innovation and maintain a competitive edge.</li><li>
Documentation and Reporting: Create comprehensive documentation of model architecture, data sources, training processes, and evaluation metrics. Present findings and recommendations to both technical and non-technical audiences.</li><li>
Ethics and Compliance: Uphold ethical standards and ensure compliance with regulations governing data privacy, security, and responsible AI deployment.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Required Experience and Skills</h2></div><div></div><div> 
<ul><li>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 3+ years of professional experience in machine learning, artificial intelligence, or related fields. A PhD or relevant research experience would be a plus.</li><li>
Hands-on experience with neural networks, deep learning, and architectures such as CNNs, RNNs, Transformers and Generative AI.</li><li>
Exposure to MLOps practices: monitoring, scaling, and automating ML workflows</li><li>
Experience with big data platforms: Databricks, Hadoop, Spark, Dataflow, etc.</li><li>
Familiarity with advanced topics such as reinforcement learning, generative models, or explainable AI</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Desired Experience and Skills</h2></div><div> 
<ul><li>
Proficiency in programming languages such as Python (preferred), Java, Csharp, or C++</li><li>
Deep understanding of machine learning frameworks: PyTorch, scikit-learn, Keras, etc.</li><li>
Experience with data manipulation tools: NumPy, SQL, Pandas</li><li>
Solid grasp of statistics, probability theory, and linear algebra</li><li>
Familiarity with cloud and Data computing platforms: Azure, Azure DevOps, DataBricks GCP</li><li>
Knowledge of containerization and orchestration: Docker, Kubernetes</li><li>
Experience in deploying machine learning models to production</li><li>
Understanding of software engineering best practices: version control (Git), unit testing, CI/CD pipelines</li></ul></div></div></div>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</div>

AI and Machine Learning Engineer

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