Remote Machine Learning Engineer (Remote - Latam)

Description:

• The position is for a Machine Learning Engineer in LATAM, posted by Jobgether on behalf of Nimble Gravity.
• The role involves building real-world AI solutions that scale and deliver impact.
• The candidate will work with a dynamic Data & AI team to design and deploy machine learning models that solve complex business challenges.
• Responsibilities include designing, training, and fine-tuning machine learning models for real-world business problems and deploying them at scale.
• The engineer will build and maintain end-to-end data pipelines for structured and unstructured data ingestion, preprocessing, and transformation.
• Integration of ML models into complete workflows, including serving, monitoring, and evaluating performance in production environments, is required.
• The role involves applying advanced AI techniques such as transformers, LLMs, RAG, vector embeddings, predictive modeling, and reinforcement learning.
• Continuous monitoring and optimization of deployed models to enhance accuracy, reliability, and efficiency is expected.
• Collaboration on MLOps practices including CI/CD, automated deployment, and testing of AI systems is part of the job.
• Participation in agile ceremonies and contribution to sprint planning, reviews, and problem-solving initiatives with cross-functional teams is necessary.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical discipline is required.
• A minimum of 3 years of experience in machine learning engineering or applied AI roles is necessary.
• Strong hands-on experience with ML frameworks such as TensorFlow or PyTorch, from prototyping to production deployment, is essential.
• Experience with cloud platforms such as AWS, Azure, or Databricks and building scalable solutions is required.
• Proficiency in handling complex, large-scale datasets—both structured and unstructured—is necessary.
• Excellent problem-solving skills with a focus on data quality and model performance are required.
• Strong communication skills and a collaborative mindset for working with cross-functional stakeholders are essential.

Benefits:

• The position is 100% remote with a flexible work environment.
• A competitive salary in US Dollars is offered.
• The role provides the opportunity to work with international teams and global brands across North America, Europe, and Asia.
• Training and development allowances are provided to support continuous learning.
• Paid time off, including vacation, personal leave, and study leave, is included.
• Company-provided hardware and home office setup support are offered.
• The company promotes an inclusive, people-first culture with opportunities for growth.