Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Scientist Specialist.
Chile Jobs Expertini

Urgent! Data Scientist Specialist Job Opening In Chile – Now Hiring Invisible Expert Marketplace

Data Scientist Specialist



Job description

Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Overview

You’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.

Responsibilities

  • Develop 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 Need

  • 2+ 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 Expertise

  • Strong 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 level

  • Entry level

Employment type

  • Contract

Job function

  • Engineering and Information Technology
  • Industries: Software Development

#J-18808-Ljbffr


Required Skill Profession

Informática Y Tecnología



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Data Scientist Potential: Insight & Career Growth Guide