This position is posted by Jobgether on behalf of Nimble Gravity. We are currently looking for a Machine Learning Engineer in LATAM. Are you passionate about building real-world AI solutions that scale and deliver impact? Join a dynamic Data & AI team focused on designing and deploying machine learning models that solve complex business challenges. You will work cross-functionally with engineers, product owners, and AI specialists to develop production-ready models and intelligent workflows. From building robust data pipelines to implementing cutting-edge techniques like LLMs and reinforcement learning, you’ll help embed AI into core business processes while advancing best practices in MLOps and agile delivery. Accountabilities: - Design, train, and fine-tune machine learning models to address real-world business problems and deploy them at scale. - Build and maintain end-to-end data pipelines for structured and unstructured data ingestion, preprocessing, and transformation. - Integrate ML models into complete workflows, including serving, monitoring, and evaluating performance in production environments. - Apply advanced AI techniques such as transformers, LLMs, RAG, vector embeddings, predictive modeling, and reinforcement learning. - Continuously monitor and optimize deployed models to enhance accuracy, reliability, and efficiency. - Collaborate on MLOps practices including CI/CD, automated deployment, and testing of AI systems. - Participate in agile ceremonies and contribute to sprint planning, reviews, and problem-solving initiatives with cross-functional teams. Requirements - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical discipline. - Minimum 3 years of experience in machine learning engineering or applied AI roles. - Strong hands-on experience with ML frameworks such as Tensor Flow or PyTorch, from prototyping to production deployment. - Experience with cloud platforms such as AWS, Azure, or Databricks and building scalable solutions. - Proficient in handling complex, large-scale datasets—structured and unstructured. - Excellent problem-solving skills with a focus on data quality and model performance. - Strong communication skills and a collaborative mindset for working with cross-functional stakeholders. Benefits - 100% remote position with flexible work environment. - Competitive salary in US Dollars. - Work with international teams and global brands across North America, Europe, and Asia. - Training and development allowances to support continuous learning. - Paid time off (vacation, personal leave, study leave, etc.). - Company-provided hardware and home office setup support. - Inclusive, people-first culture with opportunities for growth. Jobgether 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 goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and Linked In profile thoroughly, analyzing your skills, experience and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1