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Machine Learning Engineer
hace 3 meses
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:
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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.
NLP:
Intent recognition, Named Entity Recognition (NER), and Part of Speech Tagging (POS). Using Sklearn, Spacy, and Hugging Face._
- Build LLMbased 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 Dockercompose 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:
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 LLMbased technologies and frameworks.
- Proficiency in programming languages such as Python,
- Experience with cloudbased technologies AWS, GCP, and/or Azure.
- Expertise in training and deploying ML/AIpowered 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 Finetuning 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
- Topnotch team to learn and grow with
Salary:
$ $60000, USD (per year)
Blue Orange Digital is an equal-opportunity employer.
Background checks may be required for certain positions/projects.
