Staff Machine Learning Scientist (Remote from EMEA) at Jobgether

São José da Laje, Alagoas, Brazil -

Full Time

Start Date

Immediate

Expiry Date

15 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Statistical Modeling, Deep Learning, Natural Language Processing, Predictive Analytics, Recommendation Systems, Anomaly Detection, Data Wrangling, Feature Engineering, Python, PyTorch, TensorFlow, SQL, Data Visualization, Cloud Platforms, MLOps

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Machine Learning Scientist in EMEA. In this role, you will help design, build, and scale a new generation of AI-powered data products that transform complex, real-world data into actionable insights. Working closely with product and engineering teams, you will apply advanced machine learning, statistical modeling, and applied AI techniques to solve meaningful customer problems at scale. Your work will directly shape how global teams understand product quality, user experience, and business impact. This is a highly hands-on role with significant ownership and influence across the AI roadmap. You will operate in a fast-paced, fully remote environment that values experimentation, rigor, and collaboration. The position offers the opportunity to shape AI strategy while delivering production-grade systems with measurable impact. \n Accountabilities: Design, develop, and deliver AI-driven data products in partnership with engineering and product leadership. Explore, analyze, and model large-scale, complex datasets using statistical, machine learning, and deep learning techniques. Prototype, validate, and productionize models, collaborating with engineering teams to deploy and scale solutions. Research and apply advanced methods in areas such as natural language processing, predictive analytics, recommendation systems, and anomaly detection. Translate model outputs into clear, actionable insights that drive customer understanding and decision-making. Continuously evaluate, monitor, and improve model performance with a focus on accuracy, fairness, and scalability. Contribute to the evolution of data science standards, tools, and best practices across the organization. Requirements: Advanced degree in Computer Science, Data Science, Statistics, or a related field. Extensive experience applying end-to-end machine learning and statistical modeling to real-world, production systems, ideally within SaaS or data-driven products. Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch and TensorFlow. Proven expertise in NLP, predictive modeling, recommendation systems, anomaly detection, and training models from scratch. Deep knowledge of data wrangling, feature engineering, and working with large, complex datasets. Practical experience with large and small language models, including architecture, fine-tuning techniques, and deployment strategies. Demonstrated ability to design and maintain full ML pipelines and MLOps workflows, from training to monitoring and lifecycle management. Experience building and deploying AI agents or multi-agent systems in production environments with robust APIs. Solid skills in SQL, data visualization, and cloud platforms such as AWS or Azure. Strong curiosity, business acumen, collaborative mindset, adaptability, and a passion for mentorship and continuous learning. Benefits: Fully remote work environment with strong support for asynchronous collaboration. Flexible paid time off, including personal days, sick leave, and public holidays depending on location. Equity or stock option opportunities to share in long-term growth. Annual learning and development allowance to support professional advancement. Opportunity to work with rich, real-world datasets and influence high-impact AI products used globally. Inclusive, collaborative culture that values diversity, ownership, and sustainable ways of working. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Design, develop, and deliver AI-driven data products in partnership with engineering and product leadership. Explore, analyze, and model large-scale, complex datasets using statistical, machine learning, and deep learning techniques.