Machine Learning Engineer (LatAm) at Jobgether

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Python, Deep Learning, NLP Frameworks, Cloud Platforms, Teamwork, Communication, Ethical AI, Conversational AI, Speech Recognition, Text Classification, Chatbots, Summarization, Model Deployment, Data Analysis

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in Latin America. In this role, you will design, build, and deploy advanced machine learning and natural language processing models for impactful, real-world applications. You will work across multiple projects, collaborating closely with engineering, product, and business teams to develop scalable ML infrastructure and innovative solutions. The position requires expertise in NLP, LLMs, and production-grade ML systems, with a focus on building models that are ethical, high-quality, and trustworthy. This fully remote opportunity allows you to make a tangible impact in critical industries such as healthcare, public safety, and mental health support while working in a dynamic, fast-paced environment. Accountabilities Ideate, develop, and deploy scalable, cost-efficient machine learning and NLP models. Build and maintain infrastructure for training, evaluating, and serving models. Analyze datasets to optimize current approaches and prototype new solutions. Develop tools and processes for sourcing, analyzing, labeling, and storing conversation data. Ensure all ML solutions adhere to principles of fairness, quality, and ethical AI use. Collaborate with cross-functional teams to integrate ML solutions into production workflows. 3+ years of experience building production-grade machine learning models in industry or academic research. Expertise in NLP applications such as conversational AI, speech recognition, text-to-speech, natural language generation, text classification, question-answering, chatbots, and summarization. Strong programming skills in Python and familiarity with deep learning/NLP frameworks such as PyTorch, TensorFlow, Scikit-learn, NLTK, spaCy, and Pandas. Experience designing end-to-end ML infrastructure on cloud platforms (GCP, AWS, or Azure) or on-premise systems. Strong teamwork and communication skills, able to collaborate with both technical and non-technical stakeholders. Open-minded and receptive to feedback, with a strong desire to learn and adapt to new technologies. Competitive compensation and equity options. Generous healthcare, retirement, and paid time off policies. Fully remote work from anywhere in Latin America. Opportunities to work on high-impact projects across multiple critical industries. Professional growth in a collaborative, fast-paced, and innovative environment. 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 LinkedIn 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 three 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. This 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 offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, build, and deploy advanced machine learning and natural language processing models for real-world applications. Collaborate with engineering, product, and business teams to develop scalable ML infrastructure and innovative solutions.