Senior Applications Consultant - Senior ML Engineer

The Senior Machine Learning Engineer supports Machine Learning projects from strategy through implementation and ongoing improvements.

Key Responsibilities:

• 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 the 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.

Required Skills:

• 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 On-premise 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.

Job Location:

Atlanta, Frisco, Bellevue

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.