EMPREGO

Senior Machine Learning Engineer

Blue Orange Digital-Buenos Aires, Argentina

Company Overview:
Position Overview:
At Blue Orange, you'll have the opportunity to work on cutting-edge projects, leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.

Responsibilities:

  • Develop and Implement Machine Learning and AI Models:

  • Design, build and deploy advanced machine learning models.

  • Improve model performance by conducting feature engineering, hyperparameter search, and metric selection.
  • _ Optional: Experience working with classical NLP: Intent recognition, Named Entity Recognition (NER), and Part of Speech Tagging (POS). Using Sklearn, Spacy, and Hugging Face._
  • Build LLM-based products and stay up to date with current developments. Proficiency using Hugging Face, OpenAI, Anthropic, and/or Cohere tools.
  • Design and build custom APIs with tools like FastAPI.
  • Build LLM orchestration systems with tools like LangChain, LLamaIndex, Semantic Kernel, and/or HayStack.
  • Build predictive analytics and modeling products using tools like Sklearn, Sktime, XGboosts, and/or LightGBM.

  • Data Analytics and Processing:

  • Analyze large, complex datasets to extract actionable insights and inform model development.

  • Implement data preprocessing, cleansing, and quality checks to ensure data quality.

  • Cloud-Native Solutions and MLOps:

  • Develop and maintain cloud-native machine learning solutions using any of the major clouds: AWS (Lambda, EMR, GLUE, ECS, EKS), GCP (GKE, Anthos, Cloud Run), and/or Azure (CA, KS).

  • Implement and manage MLOps practices to automate and streamline the ML model deployment process. Using tools such as MLflow and/or Weights and Biases for storing metrics, artifacts, and experiments.

  • Containerization Technologies:

  • Utilize containerization technologies like Docker and Docker-compose to ensure consistent and scalable deployment of machine learning models. Using FastAPI microservices.

  • Quality Assurance and Best Practices:

  • Ensure the highest quality of machine learning models through rigorous testing and validation. Using unit and integration testing with CI/CD pipelines through GitHub actions.

  • Advocate and adhere to best software (i.e., SOLID, DRY, Git version control, etc.) and machine learning (train, val, test data splits, baseline definition, overfitting management, etc) within the team.

Requirements:
(required education, years of previous experience, skills, software requirements, etc.)

  • 3 - 7+ years of software engineering experience.
  • 1 - 3+ years experience practicing ML/AI data engineering.
  • Degree in Computer Science, Engineering, Mathematics, or a related field.
  • Strong mathematical skills, particularly in statistics and linear algebra.
  • Experience with NLP and LLM-based technologies and frameworks.
  • Proficiency in programming languages such as Python.
  • Experience with cloud-based technologies AWS, GCP, and/or Azure.
  • Expertise in training and deploying ML/AI-powered solutions in cloud environments.

Preferred qualifications:

  • Advanced degree in a relevant field.
  • Publications in relevant AI/ML communities and journals.
  • Deep Learning Expertise in Tensorflow and/or Pytorch
  • Experience Fine-tuning OpenSource LLMs and deploying them.
  • Great Expectations and/or DBT is a plus.

Benefits:

  • Fully remote
  • Flexible Schedule
  • Unlimited Paid Time Off (PTO)
  • Paid parental/bereavement leave
  • Worldwide recognized clients to build skills for an excellent resume
  • Top-notch team to learn and grow with

Salary: $85000 - $92700, USD (per year)

Blue Orange Digital is an equal-opportunity employer.

Background checks may be required for certain positions/projects.