Get ai-powered advice on this job and more exclusive features.andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.at andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an e.p.i.c. way! We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our andela community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to many exclusive technologist roles. Join andela today to access this opportunity and more in our global marketplace!Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly!This is a fully remote opportunity for one of our esteemed clients.we are seeking a highly skilled machine learning engineer to support our client’s growing ai-driven traffic analysis platform. This role will be pivotal in handling large-scale video processing pipelines, model execution, and automation of end-to-end machine learning workflows.key responsibilitiesdevelop, optimize, and maintain end-to-end data pipelines for processing large-scale video data (e.g.: mp4 files)implement and optimize model training, execution, and inference workflows for computer vision modelsdesign and manage aws-based infrastructure using infrastructure-as-code (terraform)develop and maintain lambda functions and other aws serverless components to automate data pipelinesutilize python for data processing, etl workflows, and orchestration of ml tasksmanage and optimize aws auto-scaling, ensuring efficient deployment and performance of workloadswork with containerization technologies (ecs/kubernetes) to deploy and scale ai applicationsensure continuous automation and streamlining of data processing pipelines to meet slas for client deliverablescollaborate closely with data scientists and other engineers to ensure seamless integration of models into production workflowsperform validation and monitoring of ml model outputs, ensuring accuracy and performancerequired qualificationsproficiency in python and experience working with ml model training & inference executionstrong background in aws services, including lambda, ecs/k8s, s3, cloudwatch, and auto-scaling mechanismsexpertise in infrastructure-as-code (terraform) for provisioning and managing cloud resourcesexperience with containerization (docker, ecs, kubernetes) for deploying scalable applicationsstrong knowledge of data pipeline orchestration, automation, and optimizationexperience handling large-scale unstructured video data processingability to quickly adapt and implement new ai models into production workflowsfamiliarity with yolo (you only look once) models or other computer vision frameworks (e.g., roboflow, opencv preferred but not required)nice-to-have qualificationsexperience working in computer vision applications for traffic analysis or similar domainsfamiliarity with real-time data streamingprevious experience in a fast-paced startup environmentsoft skills & work culture fitself-motivated and able to work independently in a remote settingstrong problem-solving skills and ability to troubleshoot ml pipeline issuesexcellent communication skills to collaborate effectively with remote teamscomfortable with quick iteration cycles and ability to pivot based on business needsexperience working in small, fast-moving teams where agility and efficiency are keyoverlap hours:6-8 hours with est (8 hours highly preferred)required skillspython (4 - 6 yrs)aws (amazon web services) (2 - 3 yrs)docker (2 - 3 yrs)terraform (2 - 3 yrs)computer vision (2 - 3 yrs)optional skillsmust have: python, computer vision (yolo), aws (lambda), ml pipelines, docker, kubernetes, terraform.time zone overlap requirements: fully overlap with utc –5location requirements:working hours: full-time dedication (8 hours/day - 40 hours/week)offerfull-time dedication (40 hours/week)at andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, hiv/aids or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.andela is home for all. Come as you are.seniority levelmid-senior levelemployment typecontractjob functioninformation technologytechnology, information and media
#j-18808-ljbffr