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    Machine Learning Engineer - Dallas, United States - Tiger Analytics

    Tiger Analytics
    Tiger Analytics Dallas, United States

    4 weeks ago

    Default job background
    Description
    Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

    Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered.


    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


    You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

    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

    machine learning workflows, integrating / deployment of code in a large-scale productionnvironments and reporting.

    Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and

    stored procedures.

    Extracts and analyzes data from various structured and unstructured sources, including databases,

    files, data lakes and external APIs/websites.

    Responds to data inquiries from various groups within client's organization.

    Requires experience with relational databases, document databases (NOSQL) and knowledge of

    query tools and/or statistical software.

    Responsible for other duties/projects as assigned by business management / leadership.

    Qualifications

    Minimum Required

    7 plus years of experience in statistical modeling, data mining, analytics techniques, machine

    learning software development and reporting.

    5 plus years of applied experience in building / deploying Machine Learning solutions using

    various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support

    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

    packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.

    3 plus years of experience in building use cases / solutions especially around AI/

    based on Cloud infrastructure and services such as Azure,GCP,AWS cloud platforms and Onpremise

    environments

    Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data

    environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker,

    Kubernetes etc.)

    Experience developing experimental and analytic plans for data modeling processes, using

    strong baselines, and determining cause and effect relations.

    Understanding of relevant statistical measures such as confidence intervals, significance of error

    measurements, development and evaluation data sets, etc. in data analysis projects.

    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.

    Desired

    Bachelor or Masters degree in highly quantitative field (computer science, or electrical

    engineering, mathematics, statistics) or equivalent domain specific experience in lieu of a

    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

    environments.

    Certifications AI / ML and Azure Cloud platforms

    Benefits


    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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