Choosegreaterpeoria
Sr. Cloud Engineer - ML Pipelines & AWS
Choosegreaterpeoria, Chicago, Illinois, United States
Job Description
ARi, headquartered in East Peoria, IL, USA, is a rapidly expanding global engineering enterprise. The essence of our “i” symbolizes our distinctiveness from competitors – an embodiment of innovation, intelligence, ingenuity, and insight. Boasting a diverse team of over 1,500 engineering experts hailing from various nations and cultures across the globe, we are excellently poised to provide intricate and personalized resolutions to our esteemed clients.
Incubation Team is seeking a highly skilled and visionary Cloud Architect to lead the deployment of large-scale S oftware-in-the-Loop (SIL) and Machine Learning (ML) experiments on AWS . This role is pivotal in shaping the future of
autonomous systems
and engineering decision-making through scalable experimentation frameworks. The ideal candidate will possess deep expertise in
cloud-native development, ML pipeline design, and experiment orchestration. Duties & Responsibilities: Strategic Leadership & Direction Provide architectural guidance and technical leadership to the Incubation Team. Define and implement scalable strategies for deploying
SIL and ML experiments on AWS. Collaborate with cross-functional teams to align experimentation goals with business objectives. Experiment Design & Deployment Work within company’s proprietary software framework to design and launch experiments. Generate autonomy requirements and translate them into actionable experiment designs. Develop robust software systems to manage the lifecycle of experiments, including setup, execution, monitoring, and teardown. ML Pipeline Development Build reusable
ML pipelines to test various ML techniques and strategies. Integrate pipelines with AWS services such as SageMaker, Lambda, Step Functions, and ECS/EKS. Ensure reproducibility, scalability, and performance of ML workflows. Cloud Infrastructure & Automation Architect and implement AWS-based solutions for experiment deployment and management. Automate infrastructure provisioning using tools like Terraform, CloudFormation, or CDK. Optimize cost, performance, and security of cloud resources. Data Management & Visualization Develop a centralized knowledge base of experiment results. Create
intuitive dashboards and visualizations
to present insights and support engineering decisions. Leverage tools like Quick Sight, Grafana, or custom web apps for reporting. Cross-Team Collaboration Work closely with the 1A Data Pipeline, Perception, and Planning Teams to gather and resolve requirements. Facilitating integration of experiment results into broader autonomy development efforts. Education & Experience
Bachelor's/Master's in computer engineering or any relevant engineering degree with 8+ years of relevant experience.
Required Skills: Proven experience in cloud-native development, particularly on
AWS. Strong background in
ML/AI experimentation and pipeline development. Proficiency in
Python, Docker, Kubernetes, and CI/CD tools. Experience with
SIL environments and simulation
frameworks (e.g., ROS, Gazebo, Carla). Excellent communication and leadership skills. Ability to work in a fast-paced, collaborative environment. Experience in
autonomous systems or robotics . Familiarity with
AWS AI/ML services
(SageMaker, Bedrock, etc.). Prior experience in building internal platforms or experimentation frameworks. The Benefits of Working at ARi At ARi, our commitment to our employees goes beyond the workplace, ensuring comprehensive benefits. From day one, full-time employees enjoy group health, dental, and life insurance coverage. Additionally, vision coverage is accessible starting the following month. Recognizing the significance of rejuvenation, we provide paid time off, sick days, company holidays, and maternity/paternity leave to our full-time staff. In times of loss, we also offer bereavement support. Furthermore, a 401(k) program is maintained for eligible employees.
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ARi, headquartered in East Peoria, IL, USA, is a rapidly expanding global engineering enterprise. The essence of our “i” symbolizes our distinctiveness from competitors – an embodiment of innovation, intelligence, ingenuity, and insight. Boasting a diverse team of over 1,500 engineering experts hailing from various nations and cultures across the globe, we are excellently poised to provide intricate and personalized resolutions to our esteemed clients.
Incubation Team is seeking a highly skilled and visionary Cloud Architect to lead the deployment of large-scale S oftware-in-the-Loop (SIL) and Machine Learning (ML) experiments on AWS . This role is pivotal in shaping the future of
autonomous systems
and engineering decision-making through scalable experimentation frameworks. The ideal candidate will possess deep expertise in
cloud-native development, ML pipeline design, and experiment orchestration. Duties & Responsibilities: Strategic Leadership & Direction Provide architectural guidance and technical leadership to the Incubation Team. Define and implement scalable strategies for deploying
SIL and ML experiments on AWS. Collaborate with cross-functional teams to align experimentation goals with business objectives. Experiment Design & Deployment Work within company’s proprietary software framework to design and launch experiments. Generate autonomy requirements and translate them into actionable experiment designs. Develop robust software systems to manage the lifecycle of experiments, including setup, execution, monitoring, and teardown. ML Pipeline Development Build reusable
ML pipelines to test various ML techniques and strategies. Integrate pipelines with AWS services such as SageMaker, Lambda, Step Functions, and ECS/EKS. Ensure reproducibility, scalability, and performance of ML workflows. Cloud Infrastructure & Automation Architect and implement AWS-based solutions for experiment deployment and management. Automate infrastructure provisioning using tools like Terraform, CloudFormation, or CDK. Optimize cost, performance, and security of cloud resources. Data Management & Visualization Develop a centralized knowledge base of experiment results. Create
intuitive dashboards and visualizations
to present insights and support engineering decisions. Leverage tools like Quick Sight, Grafana, or custom web apps for reporting. Cross-Team Collaboration Work closely with the 1A Data Pipeline, Perception, and Planning Teams to gather and resolve requirements. Facilitating integration of experiment results into broader autonomy development efforts. Education & Experience
Bachelor's/Master's in computer engineering or any relevant engineering degree with 8+ years of relevant experience.
Required Skills: Proven experience in cloud-native development, particularly on
AWS. Strong background in
ML/AI experimentation and pipeline development. Proficiency in
Python, Docker, Kubernetes, and CI/CD tools. Experience with
SIL environments and simulation
frameworks (e.g., ROS, Gazebo, Carla). Excellent communication and leadership skills. Ability to work in a fast-paced, collaborative environment. Experience in
autonomous systems or robotics . Familiarity with
AWS AI/ML services
(SageMaker, Bedrock, etc.). Prior experience in building internal platforms or experimentation frameworks. The Benefits of Working at ARi At ARi, our commitment to our employees goes beyond the workplace, ensuring comprehensive benefits. From day one, full-time employees enjoy group health, dental, and life insurance coverage. Additionally, vision coverage is accessible starting the following month. Recognizing the significance of rejuvenation, we provide paid time off, sick days, company holidays, and maternity/paternity leave to our full-time staff. In times of loss, we also offer bereavement support. Furthermore, a 401(k) program is maintained for eligible employees.
#J-18808-Ljbffr