Harnham · 1 week ago

Machine Learning Engineer

United States

Full-time

Remote

Mid Level

3+ years exp

Wonder how qualified you are to the job?

AnalyticsConsulting

Actively Hiring

Insider Connection @Harnham

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

Responsibilities

Work closely with data scientists, software engineers, and business stakeholders to understand requirements and translate them into machine learning solutions that address business challenges and opportunities.

Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.

Collect, preprocess, and analyze data to extract meaningful insights and features that drive model development and optimization.

Evaluate and benchmark machine learning models using appropriate metrics and techniques, iterating on designs to improve performance and robustness.

Deploy machine learning models into production environments, collaborating with software engineering teams to ensure scalability, reliability, and maintainability.

Monitor model performance and behavior in production, proactively identifying and addressing issues to maintain optimal performance and accuracy.

Stay current with advances in machine learning research and technologies, exploring new approaches and methodologies to enhance model capabilities and effectiveness.

Document methodologies, processes, and findings, sharing insights and best practices with the broader team to foster knowledge sharing and collaboration.

Collaborate with stakeholders to understand business goals and objectives, communicating findings and recommendations to drive strategic decision-making and business impact.

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.

Machine LearningPythonGoLangPerlTensorflowAirflowDatabricksAWSDockerData PreprocessingFeature EngineeringModel EvaluationCloud ComputingContainerization TechnologiesSoftware EngineeringVersion ControlTestingDeployment PipelinesProblem-SolvingAttention to DetailEffective CommunicationCollaborationAgile/Scrum methodologiesInterdisciplinary teams

Required

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's or Ph.D. degree preferred.

Minimum of 3 years of experience in machine learning engineering or related roles, with a strong track record of developing and deploying machine learning models in production environments.

Knowledge developing and debugging in Python, GoLang, Perl, and some knowledge in Tensorflow and model deployment tools like Airflow, Databricks, AWS, Docker.

Experience with data preprocessing, feature engineering, and model evaluation techniques.

Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes).

Strong understanding of software engineering principles, including version control, testing, and deployment pipelines.

Excellent problem-solving skills and attention to detail, with the ability to analyze complex datasets and derive actionable insights.

Effective communication and collaboration skills, with the ability to work across teams and communicate technical concepts to non-technical stakeholders.