AI/ML Engineer Specialist - Freelance Project job opportunity at Meridial.

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Meridial AI/ML Engineer Specialist - Freelance Project
Experience: 2-years
Pattern: Remote
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Engineering & Technology

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Hiring inbound within LATAM - Remote

What You’ll Do Design and deliver machine learning solutions that combine modern research with practical deployment. Working across industries and use cases, contribute to building robust models that power client-facing tools and internal platforms. Develop End-to-End ML Models: Design, train, and evaluate models across supervised, unsupervised, and reinforcement learning domains tailored to diverse problem areas. Collaborate on Real-World Solutions: Work with engineers and data scientists to integrate models into deployable systems operating in production environments. Client-Focused Problem Solving: Engage with stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into practical outcomes. Explore, Iterate, Validate: Lead the exploration and analysis of datasets using tools like Pandas, NumPy, and Spark to inform model design and performance evaluation. Research-Driven Innovation: Identify opportunities to adapt state-of-the-art methods and productionize them to deliver measurable impact. Target Profile 2+ years of hands-on experience building and deploying machine learning models using modern techniques. Proven ability to take models from prototype to production in Python-based workflows. Experience working directly with stakeholders to clarify requirements and inform project outcomes. Technical Expertise: Strong proficiency in Python and commonly used ML/data libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, etc). Familiarity with different model classes (e.g., regression, classification, recommendation, time series, NLP, reinforcement learning). Experience working with large-scale datasets using distributed tools such as Spark. Comfort navigating cloud environments (GCP, AWS, or similar); Databricks experience is a plus. Solid grasp of experimental design, model evaluation, and data debugging practices. Ability to write clean, modular, testable code in collaborative environments. We offer a pay range of $30+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Important: All candidates must pass an interview as part of the contracting process.

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