ml ops engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you motivated by building systems that solve complex, real-world problems at scale? Do you enjoy working with teams to turn ideas into production systems that have measurable impact?<br>
<br>
At Amazon Robotics, we are a team of builders applying advances in robotics, software, and AI to transform how fulfillment networks operate. Our work directly shapes the efficiency, safety, and reliability of systems used across Amazon&rsquo;s global operations.<br>
<br>
Are you excited about building systems that don&rsquo;t just predict&mdash;but reason and take action in real-world environments?<br>
<br>
The AR Sortation Insights team develops intelligent platforms that power next-generation warehouse operations across three key areas:<br>
<br>
Simulation &ndash; modeling and optimizing robotic workflows<br>
ML Ops &ndash; scalable data pipelines, model training, and inference systems<br>
Intelligent Decision Systems &ndash; agentic AI systems that observe, reason, and act in real time<br>
<br>
This role is focused on building intelligent, closed-loop decision systems that continuously monitor operational signals, generate insights, and safely trigger actions to optimize robotic workflows at scale.<br>
<br>
As a Software Development Engineer, you will design and build systems that combine machine learning, real-time data processing, simulation, and large language models (LLMs). Your work will directly influence how Amazon&rsquo;s robotic systems operate&mdash;driving measurable improvements in throughput, safety, and efficiency across global fulfillment networks.<br>
<br>
Key job responsibilities<br>
Design and build agentic AI systems that combine machine learning models, real-time data, and LLM-driven reasoning to automate operational decision-making in robotic workflows.<br>
Develop end-to-end decision systems that observe system state, generate insights, and trigger safe, validated actions through robust safeguards and control mechanisms.<br>
Build scalable, event-driven architectures on AWS to support real-time and batch processing for inference, decisioning, and continuous feedback loops.<br>
Design and implement machine learning models for perception, classification, prediction, and optimization, and integrate them into production systems.<br>
Develop and manage data pipelines, model training workflows, and deployment infrastructure, ensuring reliable and scalable ML Ops practices.<br>
Collaborate with simulation teams to test and validate decision strategies in virtual environments prior to production rollout.<br>
Conduct offline and in-simulation experimentation and analysis to continuously improve model performance and system outcomes.<br>
Partner with cross-functional teams including data scientists, data engineers, simulation developers, and operations leaders to deliver end-to-end solutions.<br>
Implement observability, monitoring, and evaluation frameworks to ensure reliability, safety, and performance of automated systems.<br>
Own production systems end-to-end, including deployment, monitoring, retraining, and continuous improvement.<br>
Contribute to the technical architecture and roadmap for agentic AI and ML-driven robotics platforms within AR Sortation Insights.<br>
<br>
A day in the life<br>
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
<br>
<br>
1. Medical, Dental, and Vision Coverage
<br>
2. Maternity and Parental Leave Options
<br>
3. Paid Time Off (PTO)
<br>
4. 401(k) Plan
<br>
<br>
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you&rsquo;re passionate about this role and want to make an impact on a global scale, please apply!<br>
<br>
About the team<br>
We have a talented, innovative and diverse team that works on innovative software driving human and robotic workflows, UI interfaces, AWS services at middle-mile Sortation centers within the Amazon Transportation Services network. We build algorithms to optimize sortation rates, improve safety and ergonomics, delight our associates, build simulations for our new robotic solutions, all while operating at Amazon scale.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>2+ years of full stack development experience</li><li>Experience building complex software systems that have been successfully delivered to customers</li><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, machine learning, engineering, or related fields</li><li>5+ years of software development experience</li><li>Strong programming skills in Python and/or Java, and proficiency with AI frameworks like ( Strands,Langchain), AWS Bedrock,Langfuse and went through E2E Agentic AI development</li><li>Solid understanding of machine learning algorithms, model evaluation, and data-driven optimization.</li><li>Experience building and deploying ML models in production environments.</li><li>Comfort working in a fast-paced, high-impact team environment with end-to-end ownership.</li><li>Experience building and maintaining applications with JVM-based languages, such as Java, Kotlin, Scala.</li><li>Knowledge of professional software engineering &amp; best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, N.Reading - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer , Amazon Robotics (AR) Sortation Planning

Quantum HR

<div><p><b>About Us</b></p><p>
Quantum HR is a premier human resources consulting firm dedicated to connecting exceptional talent with leading organizations worldwide. We specialize in providing bespoke recruitment solutions, leveraging deep industry insights and a global network to help companies build high-performing teams by matching them with professionals who truly fit their needs and culture.<br>
<br>
<b>About the Role</b></p><p>
We are hiring a <b>Machine Learning Engineer</b> to design, build, and deploy advanced ML models powering Digified&rsquo;s digital identity verification and contracting platforms.<br>
You will work on real-world, high-impact problems in <b>computer vision, biometrics, OCR, fraud detection, and NLP</b>, delivering production-grade ML systems integrated into APIs and enterprise workflows.</p><p>
This is a hands-on engineering role focused on taking models from research to scalable, secure, and compliant production environments.<br>
<br>
<b>Key Responsibilities</b></p><br>
<ul><li>
Develop and optimize ML models for face recognition, liveness detection, OCR, fraud detection, and NLP-based document understanding
</li><li>Build and maintain production-grade ML pipelines and APIs for real-time inference
</li><li>Deploy and scale models using MLOps best practices (CI/CD, versioning, monitoring, retraining)
</li><li>Optimize model performance for latency, accuracy, and reliability in production environments
</li><li>Design and manage high-quality datasets with proper annotation and data governance
</li><li>Monitor model performance (drift, accuracy, false acceptance/rejection rates)
</li><li>Collaborate with backend, mobile, DevOps, and product teams to integrate ML systems
</li><li>Ensure secure, compliant ML practices aligned with regulatory and data privacy standards
</li><li>Conduct research and propose improvements in model architectures and system performance</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
3&ndash;7 years of experience in Machine Learning, Deep Learning, or Computer Vision
</li><li>Strong Python programming skills
</li><li>Experience with PyTorch and/or TensorFlow/Keras
</li><li>Strong background in at least one of: Computer Vision, NLP, or Fraud Detection
</li><li>Experience with ML deployment (FastAPI, Flask, Docker, Kubernetes)
</li><li>Understanding of MLOps principles (model versioning, monitoring, retraining pipelines)
</li><li>Solid foundation in mathematics (linear algebra, probability, statistics)
</li><li>Experience working with production ML systems<br>
<br>
<b>Nice to Have</b><br>
</li><li>
Experience with face recognition, OCR, or liveness detection systems
</li><li>Exposure to Vision Transformers, Siamese Networks, CRNNs, or LLM-based systems
</li><li>Experience with distributed training or GPU acceleration
</li><li>Familiarity with MLflow or experiment tracking tools
</li><li>Knowledge of identity standards (FIDO, NIST 800-63-3)
</li><li>Background in fintech, regtech, or anti-fraud systems
</li><li>Experience with trust &amp; safety or government-grade systems</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
Work on cutting-edge ML systems in digital identity and fraud prevention
</li><li>High-impact role with production ownership from research to deployment
</li><li>Exposure to enterprise-grade AI systems used in regulated environments
</li><li>Strong engineering culture with cross-functional collaboration
</li><li>Opportunity to work on advanced CV/NLP/biometric systems at scale
</li><li>Career growth in a fast-scaling AI-driven product company</li></ul></div>

ML Engineer

BMO Financial Group

<div><div><div><div><div><div><div><div><p>Application Deadline:
</p></div></div></div></div></div></div></div>05/28/2026
<p></p><p>Address:
</p>320 S Canal Street
<p></p><p>Job Family Group:
</p>Technology
<p></p><p>We are seeking a skilled, self-motivated and innovative analytics specialist with expertise in data engineering and data science, in on prem and cloud environments. The incumbent must be well versed in Python, machine learning, and have some experience working with large language models (LLMs).
</p><p></p><p>This role is ideal for someone who has mastered Python, operates well independently and in a team effort, thrives in a fast-paced environment and is passionate about transforming data into actionable insights and scalable analytical products to improve decision making. The work you do also contributes to making the work life of your colleagues better and more productive. It's important that you have a strong customer service mentality and be a great communicator and facilitator.
</p><p></p><p>The role supports an efficient and effective Compliance risk management function by designing and building automated processes, tools and analytical reporting capabilities to improve workflow, decision making and monitoring of risk and operations over time. The role does this by bringing a strong background in data engineering, data analytics, data science and statistics.
</p><p></p><p><b>In this Role You Will:
</b></p><ul><li><p>Design, build, and maintain analytical data products, dashboards, and reports to support business decision-making.
</p></li><li><p>Develop and deploy Python code to clean, process, and transform messy data.
</p></li><li><p>Develop and deploy machine learning models and pipelines using Python and ML Ops best practices.
</p></li><li><p>Work with orchestration and ETL tools to automate data workflows and ensure data quality and integrity.
</p></li><li><p>Leverage AWS services for data storage, processing, and model deployment.
</p></li><li><p>Collaborate with cross-functional teams to integrate data solutions into SharePoint, PowerPlatform and other enterprise platforms.
</p></li><li><p>Explore and apply large language models (LLMs) to solve complex business problems and enhance analytical capabilities.
</p></li><li><p>Monitor and optimize performance of data products and models in production environments.
</p></li><li><p>Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g., trading systems, GRC, lending system, payment system,) to fulfill analytical needs.
</p></li><li><p>Supports various project teams across the project lifecycle to ensure development is aligned with the business requirements.
</p></li><li><p>Recommends and implements solutions based on analysis of issues and implications for the business.
</p></li><li><p>Assists in the development of strategic plans.
</p></li><li><p>Identifies emerging issues and trends to inform decision-making.
</p></li><li><p>Researches existing or emerging requirements &amp; related best practices to assist and develops recommendations for changes/enhancements.
</p></li><li><p>Develops informative, coherent, and usable project documents (project artifacts) for multiple stakeholders covering functional and non-functional business requirements.
</p></li><li><p>Applies depth of domain &amp; functional expertise for the assigned portfolio to drive the expected business value.
</p></li><li><p>Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
</p></li><li><p>Builds tests cases in order to validate business requirements and End-User Testing results.
</p></li><li><p>Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
</p></li><li><p>Exercises judgment to identify, diagnose, and solve problems within given rules.
</p></li><li><p>Works independently on a range of complex tasks
</p></li></ul><p></p><p><b>Required Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field. Or a combination of higher education and 3 or more years&rsquo; direct experience in data analysis, data engineering, and machine learning.
</p></li><li><p>Expert-level proficiency in Python, including base Python, Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
</p></li><li><p>Expert level in SQL
</p></li><li><p>Hands-on experience with ML Ops tools and frameworks.
</p></li><li><p>Microsoft Graph API and working with APIs
</p></li><li><p>Strong understanding of AWS services (e.g., S3, RDS, Lambda, Glue, Redshift, SageMaker).
</p></li><li><p>Experience with orchestration tools (e.g., Apache Airflow, Prefect, LiquiBase) and ETL platforms.
</p></li><li><p>Strong knowledge of Microsoft PowerBI, PowerBI Apps and Workspaces.
</p></li><li><p>Experience working with fine-tuning models machine learning and generative models (e.g., OpenAI, Hugging Face Transformers, classic ML).
</p></li><li><p>Excellent communication and collaboration skills.
</p></li><li><p>Independent and collaborative project management skills
</p></li><li><p>JIRA/Confluence
</p></li><li><p>PowerBI fluency
</p></li></ul><p></p><p><b>Nice-to-haves:
</b></p><ul><li><p>Familiarity with Microsoft SharePoint and Microsoft PowerPlatform a plus.
</p></li><li><p>GitHub CoPilot
</p></li></ul><ul><li>In office requirement- 3 days in Chicago office (subject to change
</li></ul><p></p><p><b>Salary </b><b>:
</b></p>$81,400.00 - $151,800.00
<p></p><p><b>Pay Type:
</b></p>Salaried
<p></p><p>The above represents BMO Financial Group&rsquo;s pay range and type.
</p><p></p><p>Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
</p><p></p><p>BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
</p><p></p><p><b>About Us
</b></p><p></p><p>At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
</p><p></p><p>As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
</p><p></p><p>To find out more visit us at http://jobs.bmo.com/us/en
</p><p></p><p>BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
</p><p></p><p>BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
</p><p></p><p>Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</p></div>

Business Systems Analyst III

Petlibro

<div>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   401(k)
  </li>
  <li>
   401(k) matching
  </li>
  <li>
   Competitive salary
  </li>
  <li>
   Dental insurance
  </li>
  <li>
   Health insurance
  </li>
  <li>
   Opportunity for advancement
  </li>
  <li>
   Paid time off
  </li>
  <li>
   Relocation bonus
  </li>
  <li>
   Vision insurance
  </li>
  <li>
   Wellness resources
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Petlibro | San Jose, CA
  <br/>
  <br/>
 </strong>
 <strong>
  About Petlibro
  <br/>
  <br/>
 </strong>
 Petlibro is a design-thinking company creating products that nurture the intertwined lives of pets and their people. We launched with a philosophy that good design, in form and in function, can make a difference. Petlibro innovates with the latest technology to solve everyday problems for modern pet parents and revolutionize how we care for our pets.
 <br/>
 <br/>
 Since 2019, Petlibro has grown into one of the best-selling pet tech brands globally. From smart feeders with app insights to ultra-filtered automatic fountains to pet-health-focused smart apps, our products are engineered to magnify the bond between your pet and you. We are now building AI-powered products and services for modern pet care.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are looking for an AI Engineer to design, train, and deploy AI models that power intelligent pet care and animal monitoring products. You will work across the full model lifecycle, from data curation and fine-tuning to production serving and on-device deployment. The role spans computer vision, vision-language models (VLMs), large language models (LLMs), and agentic AI systems, with a strong focus on animal behavior understanding and multimodal reasoning.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fine-tune LLMs and VLMs for pet care and animal behavior domains using modern post-training methods (SFT, DPO, GRPO/DAPO)
  </li>
  <li>
   Develop and evaluate computer vision models for animal detection, pose estimation, activity recognition, and health monitoring
  </li>
  <li>
   Build multimodal AI pipelines that combine video, audio, weight sensor data, and other sensor modalities for real-time animal behavior analysis
  </li>
  <li>
   Design and operate model serving infrastructure with high throughput and low latency (vLLM, TensorRT-LLM)
  </li>
  <li>
   Implement RAG systems and agentic workflows for domain-specific knowledge retrieval and automated decision-making
  </li>
  <li>
   Optimize models for on-device / edge deployment using quantization (GPTQ, AWQ, INT4/INT8), distillation, etc.
  </li>
  <li>
   Curate and manage training datasets including synthetic data generation and annotation pipelines for animal imagery and video
  </li>
  <li>
   Develop evaluation frameworks and benchmarks specific to animal AI tasks (behavior classification accuracy, false alert rates, etc.)
  </li>
  <li>
   Collaborate with firmware and embedded engineers to ship models on resource-constrained hardware
  </li>
  <li>
   Monitor model performance in production, set up drift detection, and maintain model versioning and rollback processes
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, AI/ML, Electrical Engineering, or a related field
  </li>
  <li>
   2+ years of hands-on experience training and deploying ML models in production
  </li>
  <li>
   Strong proficiency in Python; familiarity with C++ for performance-critical paths
  </li>
  <li>
   Deep experience with PyTorch and the Hugging Face ecosystem (Transformers, PEFT, TRL, Datasets)
  </li>
  <li>
   Practical experience with the modern post-training pipeline: SFT, preference optimization, and RL-based methods
  </li>
  <li>
   Understanding of modern model architectures: Mixture of Experts, long-context models, multimodal encoders
  </li>
  <li>
   Experience with inference optimization: quantization, speculative decoding, KV-cache management, batching strategies
  </li>
  <li>
   Familiarity with MLOps tooling: experiment tracking (W&amp;B, MLflow), model registries, CI/CD for ML
  </li>
  <li>
   Knowledge of cloud GPU infrastructure (AWS, GCP) and cost-efficient training/serving strategies
  </li>
  <li>
   Strong problem-solving skills and ability to work in a fast-paced, cross-functional environment
  </li>
  <li>
   Background in animal behavior, veterinary science, or bioinformatics is a strong plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with video understanding models and temporal reasoning over long sequences
  </li>
  <li>
   Hands-on experience building agentic AI systems or tool-using LLM workflows
  </li>
  <li>
   Experience with structured outputs, function calling, and LLM-as-judge evaluation patterns
  </li>
  <li>
   Familiarity with on-device ML frameworks (Core ML, TensorFlow Lite, ONNX Runtime, ExecuTorch)
  </li>
  <li>
   Experience with synthetic data generation for training data augmentation
  </li>
  <li>
   Understanding of distributed training (FSDP, DeepSpeed) for large-scale model training
  </li>
  <li>
   Knowledge of AI safety, alignment techniques, and responsible AI practices
  </li>
  <li>
   Experience with Docker, Kubernetes, and production deployment pipelines
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work directly on AI that improves animal welfare and pet care. Your models have real-world impact on pets and their owners
  </li>
  <li>
   Full-stack AI role, from research and training to production serving and on-device deployment
  </li>
  <li>
   Access to GPU compute and cloud infrastructure for experimentation and training
  </li>
  <li>
   Collaborative team that values shipping over slides
  </li>
  <li>
   Competitive salary, equity, and benefits
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We're building the future of intelligent pet care. If you want to push the boundaries of multimodal AI and apply it to a domain that genuinely matters, we want to talk.
</div>


AI Engineer - AI Department

CHANEL

<div>
 <em>
  At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.
 </em>
 <br/>
 <br/>
 <strong>
  About the role:
  <br/>
  <br/>
 </strong>
 CHANEL is now hiring a Data Scientist for our Digital Client Experience (DCX) Data team in New York City. Our ideal Data Scientist is able and experienced to lead advanced analytics and data-driven initiatives that enhance our client experiences digitally and in boutiques. This role will define and execute the data science roadmap, develop machine learning models, and establish best practices&mdash;while operating as a stand-alone contributor within the DCX Data Team.
 <br/>
 <br/>
 Beyond technical delivery, this role will play a pivotal part in making CHANEL US more AI-driven, piloting Generative AI projects, and driving adoption of advanced analytics across teams through effective change management.
 <br/>
 <br/>
 <strong>
  Required tech:
 </strong>
 Python, R, Machine Learning, Big Query, SQL, etc.
 <br/>
 <br/>
 <strong>
  What impact you can create at CHANEL:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own and execute the data science roadmap for CHANEL US, aligned with digital transformation priorities.
  </li>
  <li>
   Design and implement advanced analytics solutions, including predictive modeling, machine learning, and AI-driven use cases.
  </li>
  <li>
   Lead AI adoption initiatives, introducing innovative approaches and piloting Generative AI projects for business impact while protecting the brand.
  </li>
  <li>
   Drive change management to embed advanced analytics into day-to-day workflows, helping teams embrace technology and new ways of working.
  </li>
  <li>
   Establish data science best practices and frameworks for scalable, production-ready models.
  </li>
  <li>
   Execute end-to-end projects: data preparation, feature engineering, model development, deployment, and monitoring.
  </li>
  <li>
   Implement ML Ops practices for model lifecycle management and scalability.
  </li>
  <li>
   Develop data pipelines and automation workflows, including API integrations for system connectivity.
  </li>
  <li>
   Collaborate cross-functionally with Business teams, legal, Tech, and external partners to integrate solutions into production workflows.
  </li>
  <li>
   Manage stakeholders effectively, ensuring alignment and buy-in across Fragrance &amp; Beauty, Fashion, Watches &amp; Fine Jewelry (WFJ) divisions.
  </li>
  <li>
   Communicate complex concepts simply, delivering clear narratives and actionable recommendations to senior leadership.
  </li>
  <li>
   Promote data storytelling and experimentation (e.g., A/B testing) to validate impact and foster a culture of innovation.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You are energized by:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity
  </li>
  <li>
   Data-driven decision making for products and services
  </li>
  <li>
   Excellent project management and communication skills
  </li>
  <li>
   Connecting the dots on pain points, bring a key eye for details and expert problem perception with solutions mindset
  </li>
  <li>
   Ability to translate technical jargon into simple business terms
  </li>
  <li>
   Working in a highly collaborative environment
  </li>
  <li>
   Building strong partnerships across business and technology teams in a global organization
  </li>
  <li>
   Championing change and fostering a culture of accountability and innovation
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you will bring to the team:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with personalization, recommendation of engines, and segmentation
  </li>
  <li>
   API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus
  </li>
  <li>
   Familiarity with Salesforce CRM systems and digital transformation programs
  </li>
  <li>
   Luxury retail or client-centric industries favorable but not required
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Qualifications
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
  </li>
  <li>
   Expert-level coding skills in Python or R, with strong experience in developing and deploying machine learning models
  </li>
  <li>
   SQL proficiency is mandatory for data manipulation and querying large datasets
  </li>
  <li>
   Hands-on experience with Google Big Query as a core analytics platform
  </li>
  <li>
   Familiarity with Generative AI frameworks and emerging AI technologies
  </li>
  <li>
   Experience with MLOps tools and version control (e.g., Git)
  </li>
  <li>
   Strong business acumen and ability to influence organizational change
  </li>
  <li>
   Exceptional communication and stakeholder management skills, including the ability to simplify complexity for senior leaders
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Position Logistics:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hybrid work &ndash; required 3 days onsite at CHANEL offices in New York City
  </li>
  <li>
   Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Data Science or equivalent
  </li>
  <li>
   Chanel, Inc. reserves the right to edit, change, or make exceptions on designations where circumstances where deemed appropriate.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <br/>
 <br/>
 <strong>
  Compensation:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The anticipated base salary range for this position is $87,500-$190,000. A base salary is one component of the total compensation for this position. Other forms of variable pay [may/will] be offered for this position. Other components [may/will] include bonus potential, benefits, and/or perks.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits and Perks:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Wellbeing resources include dedicated paid time off for wellbeing (2-week August Office Closure) and a Wellbeing fund
  </li>
  <li>
   Family and care giving benefits (inclusive of parental leave, fertility support, MilkStork, and Care.com Membership)
  </li>
  <li>
   Generous paid time off policies to include vacation, holiday, sick and volunteer days
  </li>
  <li>
   401K and other incentives
  </li>
  <li>
   Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts (Health Care &amp; Dependent Care), Health Savings Account and Employee Assistance Program
  </li>
  <li>
   Life insurance, Accidental Death &amp; Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident &amp; Medical, and Commuter Transit &amp; Parking
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information:
  <br/>
  <br/>
 </strong>
 Chanel is a private company whose values are grounded in creating conditions for people to perform at their best and feel fulfilled and confident in their work. We offer a unique work environment where individuals are encouraged to better understand the brand, the business, and motivations, so that together we can unlock the possibilities of growth. This is reflected in:
 <br/>
 <br/>
 <strong>
  Diversity and Inclusion:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At CHANEL, we are intentional in promoting Diversity &amp; Inclusion. We foster respect, empathy, and dignity for all. We believe strongly that the diversity of our people across the full spectrum of human differences is essential to our organisation and the connections we have with each other and our clients.
  </li>
  <li>
   We offer Employee Resource Groups in the US that are voluntary, open to all, employee-led groups formed around a shared identity or lived experience, whose aim is to foster a diverse, inclusive, and equitable community aligned with the values and missions of the communities they support.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Chanel Community:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   CHANEL Community empowers our employees to channel their passions, talents and sense of purpose to contribute to and learn from our communities.
  </li>
  <li>
   Employees are encouraged to take time off annually to volunteer through CHANEL Community. CHANEL also matches employee donations to select charitable organizations.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Sustainability:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   CHANEL Mission 1.5&deg; is our climate action plan. It is focused on transforming the business in line with the ambitions of the Paris Agreement on climate change to limit the average global mean temperature increase to 1.5 degrees Celsius above preindustrial levels.
  </li>
  <li>
   Employees are encouraged to contribute to our US Sustainability efforts at the corporate level and within the divisions, through organized taskforces and initiatives.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Arts and Culture:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We are committed to extending our legacy of cultural engagement. Global support includes the CHANEL Culture Fund, which supports a select group of leading art culture institutions across the globe, and the CHANEL Next Prize for the next generation of creative talent. US support currently includes Annual sponsorship of the MoMA film program, Tribeca Film Festival programs and Through Her Lens, Support of the Academy Gold Fellowship for Women and Sponsorship of the BAAND Together Dance Festival at Lincoln Center.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Fondation Chanel:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Since 2011, Fondation CHANEL&rsquo;s mission is for women and girls to be free to shape their own destiny.  Through multi-year partnerships with financial and technical support, Fondation CHANEL is committed to improving the safety and autonomy of women and adolescent girls around the world, impacting over a million women and girls in its first 10 years.
  </li>
  <li>
   For more information, please navigate to the Fondation Chanel website here
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Career and Leadership Development:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We have dedicated in-house teams focused on supporting the onboarding of employees, developing leadership skills via custom programs like Imagine Chanel People, Heart of Leadership and group and individual coaching, and blended online and live classes offered on our Bloom platform and by skilled trainers, such as Shape Your Career, to develop career building skills.
  </li>
  <li>
   Chanel, Inc. benefits and perks are dependent on eligibility and subject to modification by Chanel at any time.
   <br/>
  </li>
 </ul>
</div>


Data Scientist

RATP Dev

<div><h2 class="jobSectionHeader"><b>Sr AI &amp; Software Developer</b></h2>
<div><ul><li><div>Fixed-term contract</div>
</li>
<li><div>Full-time</div>
</li>
<li><div>At least 5 years of experience (Senior level)</div>
</li>
<li><div>Bachelor degree</div>
</li>
<li><div>IT Specialist</div></li></ul></div></div>
<br><div><div><div><div><h2 class="jobSectionHeader"><b>Mission
</b></h2><p></p><div><p><b>JOB PURPOSE:</b></p><p>
The Sr AI &amp; Software Developer is responsible for driving the technical vision, development, and productization of intelligent, data-driven software systems. This role encompasses the entire machine learning and software development lifecycle, from research and data ingestion to model deployment and monitoring. You will build proprietary machine learning models and scalable applications, acting as a core technical expert to deliver innovative digital solutions that align with the company's strategic goals.</p></div></div><p></p><div>
<h2 class="jobSectionHeader"><b>Profile
</b></h2><p></p><div><p><b>RESPONSIBILITIES/DUTIES</b></p><p><b>
Technical Leadership &amp; System Architecture</b></p><ul><li> Lead the architectural design and end-to-end development of production-grade AI systems, focusing on high-impact applications such as agentic workflows and predictive modeling.</li><li> Own the machine learning lifecycle by overseeing the mathematical integrity and technical execution of data ingestion, feature engineering, and model training.</li><li> Drive the deployment of scalable models across major cloud environments (AWS/Azure/GCP) or on-premises infrastructure to ensure high availability and performance.</li><li> Mentor junior developers and data scientists, providing technical guidance and conducting structured code reviews to foster a culture of continuous learning.</li></ul><p><b>
MLOps Excellence &amp; Quality Assurance</b></p><ul><li> Establish and enforce rigorous MLOps frameworks to ensure the robust, repeatable, and high-quality delivery of AI-driven software solutions.</li><li> Validate all technical outputs through stringent testing protocols and quality assurance standards, ensuring compliance with global performance benchmarks.</li><li> Direct continuous improvement initiatives by analyzing system data to proactively identify, manage, and resolve complex technical incidents.</li></ul><p><b>
Strategic Integration &amp; Stakeholder Management</b></p><ul><li> Partner with multidisciplinary business units and product management to translate ambiguous business challenges into concrete AI/ML software requirements.</li><li> Advise senior leadership as a primary technical liaison, converting intricate algorithmic capabilities into actionable insights that drive corporate strategy.</li><li> Benchmark emerging digital trends and enterprise-level software tools to continuously optimize the organization&rsquo;s service delivery and technical stack.</li></ul><p><b>
Governance &amp; Safety Culture</b></p><ul><li> Ensure full alignment with the organization&rsquo;s Safety Management System, integrating digital security and safety protocols into all software development.</li><li> Promote a proactive safety culture within the technical team, identifying and mitigating any potential operational or environmental risks.</li><li> Champion ethical AI standards and data governance practices to protect organizational integrity and user privacy.</li></ul><p><b>
Safety Responsibilities:</b></p><ul><li> Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.</li><li> Comply with the requirements of RDMC RQHSE Policy and Safety Management System.</li><li> Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.</li></ul><p><b>
ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE</b></p><p><b>
QUALIFICATIONS:</b></p><ul><li> Bachelor&rsquo;s degree in computer science, Information Systems, or a related technical field</li><li> Professional fluency in both English and Arabic; proficiency in French is highly preferred.</li></ul><p><b>
KNOWLEDGE:</b></p><ul><li> Expert-level proficiency in Python and advanced ML frameworks including TensorFlow, PyTorch, or JAX.</li><li> Deep theoretical command of NLP, deep learning, and statistical modeling within an enterprise context.</li><li> Mastery of full-stack development, specifically with Next.js, for deploying user-centric AI applications.</li></ul><p><b>
EXPERIENCE:</b></p><ul><li> 5&ndash;7 years of progressive experience in software development and data science, with a proven track record of owning complex, enterprise-level AI projects from ideation to production.</li><li> Proven track record of owning complex, enterprise-level AI projects from ideation to production.</li></ul><p><b>
DESIRED BEHAVIORS &amp; EXPERIENCES</b></p><ul><li> Exceptional ability to deconstruct technical jargon into strategic narratives for non-technical stakeholders.</li><li> Working in Agile/Scrum environments with a focus on &quot;Privacy by Design&quot; and ethical AI development.</li><li> Exhibit a &quot;product-owner&quot; mindset, taking full accountability for the long-term scalability and ethical integrity of AI solutions rather than focusing solely on immediate code execution.</li><li> Acts as a proactive advocate for AI adoption across the organization, demonstrating the patience and persistence required to overcome institutional resistance to new digital workflows.</li></ul></div></div></div></div><br>
<p></p>
<div><div><div><h3 class="jobSectionHeader"><b>Location</b></h3>
<p></p><div><div><div><b>Location</b></div></div><b>
</b><div><b>Address</b></div><b>
</b></div><p>Cairo, Cairo, Egypt</p></div></div></div></div><div></div>

Sr AI & Software Developer

Capgemini

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

Lead Machine Learning Engineer

Search 4540+ Ml ops engineer jobs near you this May. New roles added regularly across leading industries. Apply today.