Machine Learning Engineer
4 weeks ago
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
- Creating Scalable Machine Learning systems that are highly performant
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed and deployed
Requirements
Essential Functions
- Support ML projects from strategy through implementation and on-going improvements.
- Perform data collection, analysis, validation, cleansing, developing software in support of multiple
- Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and
- Extracts and analyzes data from various structured and unstructured sources, including databases,
- Responds to data inquiries from various groups within client's organization.
- Requires experience with relational databases, document databases (NOSQL) and knowledge of
- Responsible for other duties/projects as assigned by business management / leadership.
Minimum Required
- 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine
- 5 plus years of applied experience in building / deploying Machine Learning solutions using
Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect
their performance.
- 5 plus years of hands-on experience with Python and/or R programming and statistical
- 3 plus years of experience in building use cases / solutions especially around AI/
environments
- Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data
Kubernetes etc.)
- Experience developing experimental and analytic plans for data modeling processes, using
- Understanding of relevant statistical measures such as confidence intervals, significance of error
- Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks
- Expertise with visualization tools such as PowerBI, D3JS etc.
- Excellent written and verbal communication skills.
- Bachelor or Masters degree in highly quantitative field (computer science, or electrical
degree.
- Proficient in machine learning data workflows, data collection methodologies, and data analysis.
- Experience with architecting, designing, developing software solution in Azure and on-prem
- Certifications AI / ML and Azure Cloud platforms
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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