75 applicants

Company

Original Job Post

Proof · 3 days ago

Machine Learning Engineer

Denver, CO

Full-time

Onsite

Mid Level

CAD$150K/yr - CAD$190K/yr

3+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

Information TechnologyLegal

Growth Opportunities

Insider Connection @Proof

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Develop and optimize NLP, NER, and classification models to automatically extract information from legal documents, reducing manual transcription.

Collaborate with engineering to build data pipelines and deploy, monitor, and maintain ML models into production environments using tools such as Jupyter Notebook, Docker, and Kubernetes.

Conduct statistical analysis, including descriptive statistics and predictive modeling, on business data to generate actionable insights and guide pricing experiments using tools like Pandas, NumPy, and Scikit-Learn.

Perform outlier analysis to identify and handle anomalies in datasets, ensuring data quality and model robustness.

Create informative data visualizations to communicate complex findings and aid decision-making processes using libraries like Matplotlib, Seaborn, and Plotly.

Utilize probabilistic graphical models and Bayesian statistical modeling techniques where appropriate to model uncertainty and make probabilistic predictions.

Fine-tune and adapt existing ML models for specific use cases, balancing performance and cost-effectiveness.

Maintain and optimize data warehouse and ETL pipelines to ensure data quality and availability (using Airbyte and BigQuery).

Stay updated with the latest advancements in ML and data science research, applying relevant techniques to enhance solutions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonNLPDeep LearningTensorFlowPyTorchSpaCyMachine LearningStatistical AnalysisSQLSparkHadoopGitJenkinsAWSGCPAzureProbabilistic Graphical ModelsBayesian ModelingAgile MethodologiesJiraProblem-SolvingCommunicationCollaborationSelf-StarterComputer ScienceStatisticsQuantitative FieldOptimization TechniquesMulti-sided MarketplacesOCR

Required

3+ years of professional experience working in data science, machine learning, or a related field.

Strong proficiency in Python and experience with relevant NLP & deep learning libraries (e.g. TensorFlow, PyTorch, spaCy).

Solid understanding of ML techniques and experience with tasks like information extraction and document/text classification.

Ability to perform descriptive and predictive statistical analysis, outlier analysis, and data visualizations using tools like SQL, Spark, and Hadoop.

Experience with development and deployment tools such as Git, Jenkins, and AWS/GCP/Azure.

Familiarity with probabilistic graphical models and Bayesian statistical modeling.

Familiarity with agile development methodologies and collaborative tools like Jira or Linear.

Excellent communication skills and ability to collaborate cross-functionally.

Self-starter mindset and excitement about applying ML to real-world business problems.