Machine Learning Engineer
1 month ago
Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a motivated and passionate Machine Learning Engineers for our team. As part of this job, 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
- 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.
- 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
- 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/
- Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data
- 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
- 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
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