ML Engineer (Computer Vision+Forecasting) | GT

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an ML Engineer (Computer Vision + Forecasting) | GT in Europe.We are seeking a skilled ML Engineer with expertise in computer vision, forecasting, or both, to work on diverse, high-impact AI projects. You will design, train, and deploy machine learning models that solve practical problems using image, video, and time-series data. The role involves building scalable data pipelines, optimizing predictive models, and collaborating closely with data, product, and cloud engineering teams. You will have the opportunity to contribute to PoC development, participate in discovery phases, and influence the implementation of AI solutions across multiple domains. This remote position provides exposure to innovative projects across industries such as healthcare, fintech, e-commerce, and life sciences.Accountabilities:Design, train, and deploy ML models for computer vision and forecasting tasksBuild and maintain cloud-based data pipelines using AWS, GCP, or AzureDevelop and optimize predictive models for time-series data using Prophet, ARIMA, LSTM, TimeGPT, or similar frameworksWork with event-driven architectures, including Kinesis, Kafka, or equivalentsCollaborate with cross-functional teams to deliver scalable, reliable, and efficient AI solutionsParticipate in proof-of-concept development, presenting results and recommendations to stakeholdersRequirements4+ years of experience in Machine Learning or Data ScienceStrong programming skills in PythonExperience with computer vision tools and frameworks such as OpenCV, PyTorch, TensorFlow, or AWS RekognitionBackground in forecasting and time-series modeling (Prophet, ARIMA/SARIMA, TimeGPT, XGBoost, or similar)Cloud experience in AWS, GCP, or AzureFamiliarity with real-time data pipelines or stream processingStrong sense of ownership, proactive attitude, and ability to work independentlyExcellent communication skills with technical and non-technical stakeholdersComfortable with ambiguity and capable of defining requirements and driving strategic impact. Nice-to-have: Knowledge of LLMs, RAG, or vector databases; experience developing PoC or production AI systems; understanding of cost optimization and latency reduction in cloud ML setupsBenefitsCompetitive salary and performance-based incentivesFlexible remote work arrangement across EuropeOpportunities to work on cutting-edge AI projects with high business impactProfessional growth through exposure to multiple industries and technical domainsCollaboration with a global, cross-functional teamSupportive environment promoting autonomy, ownership, and learningJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile is reviewed through our AI-powered screening system designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile, analyzing your skills, experience, and achievements.📊 It compares your profile against the job's core requirements and past success factors to calculate your match score.🎯 The top three candidates with the highest match are automatically shortlisted.🧠 When necessary, our human team may conduct a manual review to ensure no strong profile is missed.This process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared with the hiring company, which manages the final decision and next steps such as interviews or assessments.Thank you for your interest!