Koddi ยท 5 days ago
Machine Learning Engineer
Maximize your interview chances
AdvertisingAdvertising Platforms
H1B Sponsor Likely
Insider Connection @Koddi
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Work closely with data scientists, software engineers, and business stakeholders to understand company goals and objectives. Translate that understanding 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.
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.
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.
Required
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
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
Familiarity with ML development and deployment tools and platforms such as Databricks, MLFlow, Kubeflow Pipelines, Airflow, TensorRT or similar
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
Preferred
Master's or Ph.D. degree
Experience implementing complete model lifecycle from inception to deployment to automated retraining for a complex model such as Contextual Bandit, Deep Neural Network, or similar
Experience in Agile/Scrum methodologies and working in interdisciplinary teams
Company
Koddi
The adtech platform trusted by the world's top brands.
H1B Sponsorship
Koddi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (2)
2021 (13)
2020 (4)
Funding
Current Stage
Growth StageRecent News
2024-12-13
GlobeNewswire News Room
2024-11-20
Company data provided by crunchbase