Data Scientist Specialist (Talca)

Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.OverviewYou'll design and deliver machine learning solutions that blend cutting-edge research with practical deployment. Working across industries and use cases, you'll tackle challenging problems in computer vision and build robust models that power client-facing tools and internal platforms.ResponsibilitiesDevelop End-to-End CV Models : Design, train, and evaluate deep learning models (e.g., YOLO, optical flow, ResNet architectures) tailored to complex visual data pipelines and novel problem domains.Collaborate on Real-World Solutions : Partner with software engineers and fellow data scientists to integrate research-driven models into deployable systems that operate in dynamic production environments.Client-Focused Problem Solving : Work closely with external stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into impactful results.Explore, Iterate, Validate : Lead the exploration and analysis of large datasets using tools like Pandas, NumPy, and Spark to inform model design and evaluate performance under realistic constraints.Research-Driven Innovation : Identify when state-of-the-art ideas can be adapted and productionized in service of the problem at hand.What We Need2+ years of hands-on experience building computer vision models using modern deep learning techniques.Proven ability to take models from prototype to production in Python-based workflows.Experience working in client-facing roles or directly engaging with stakeholders to refine project requirements.Technical ExpertiseStrong proficiency in Python and commonly used ML / data libraries (Pandas, NumPy, PyTorch, etc). Familiarity with core computer vision tools and model types (YOLO, ResNet, segmentation models, optical flow, etc). 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.Strong code hygiene : able to write clean, modular, testable code in collaborative environments.Bonus (Nice To Haves)Familiarity with MLOps practices (model tracking, versioning, reproducibility). Experience contributing to multi-model systems or pipelines built by larger teams of data scientists and engineers.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.Seniority levelEntry levelEmployment typeContractJob functionEngineering and Information TechnologyIndustries : Software Development #J-

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