Posted Mar 28, 2019 1 views
Profile
The machine learning engineer designs, develops and deploys machine learning solutions to meet enterprise goals and support experimentation and innovation. The engineer collaborates with developers and data scientists to identify innovative machine learning solutions that leverage data to meet business goals. The machine learning engineer ensures infrastructure and data pipelines are structured to deploy machine learning solutions.
Key Responsibilities
- Understands and translates business and functional needs into machine learning problem statements
- Translates complex machine learning problem statements into specific deliverables and requirements
- Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
- Works closely with data scientists and data engineers to develop machine learning algorithms
- Works closely with UX designers and product teams to improve the product user experience
- Translates machine learning algorithms into production-level code
- Collaborates with development teams to test and deploy machine learning models
- Creates metrics to continuously evaluate the performance of machine learning solutions
- Maintains and improves the performance of existing machine learning solutions
- Ensures adherence to performance standards and compliance to data security requirements
- Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization
Skills
- Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines and deep learning
- Strong understanding of probability and statistical models (generative and descriptive models)
- Advanced programming skills with C/C++, Python, Java or R
- Ability to run experiments scientifically and analyze results
- Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
- Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations
Experience
- More than two years of experience in developing and deploying enterprise-scale machine learning solutions;
- Preferred experience in a quantitative analysis role
Education Requirements
Bachelor's degree in data science, applied mathematics, computer science or otherwise research-based field; Master’s degree preferred
Job Details
Quantum Analytics
The company conducts and provides consultancy for international quality scientific and social sector researches. It also provides management, project development, monitoring evaluation and office automation services to its clients wherein databases development, maintenance and up gradation for clients and company’s own use are the exceling ones. It attracts, develops and retain expertise in databases development and data mining.
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