Quick overview
SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
AWSPythonMachine Learning
Job description
Job Title: ML Data Scientist
Domain: Oil & Gas
Location: USA
Work Mode: Hybrid
Duration: 12 months plus
Experience: 5–7 Years
Please send your updated resume to pranayatburgeonitsdotcom
Job Description:
We are looking for an experienced ML Data Scientist with strong Python programming and hands-on experience building traditional/classical machine learning models. The candidate should understand the mathematical concepts and algorithms behind ML models and have experience improving model performance and deploying models into production.
Mandatory Skills:
Domain: Oil & Gas
Location: USA
Work Mode: Hybrid
Duration: 12 months plus
Experience: 5–7 Years
Please send your updated resume to pranayatburgeonitsdotcom
Job Description:
We are looking for an experienced ML Data Scientist with strong Python programming and hands-on experience building traditional/classical machine learning models. The candidate should understand the mathematical concepts and algorithms behind ML models and have experience improving model performance and deploying models into production.
Mandatory Skills:
- Strong Python programming and modular coding.
- In-depth understanding of traditional/classical machine learning algorithms.
- Hands-on experience building ML models such as Random Forest.
- Strong understanding of the mathematical intuition and working principles behind ML algorithms.
- Experience in model development, performance improvement, and optimization.
- Understanding of ML model deployment into production environments.
- Strong analytical and abstract problem-solving skills.
- Excellent communication skills and ability to understand and gather business requirements.
- AWS exposure or experience working with ML models in AWS environments.
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