
Baker Hughes Company is an American global energy technology company co-headquartered in Houston, Texas and London, UK
Lead Engineer, Disciplinary Engineering and Science - Mathematics & Data Science
必須スキル
Machine Learning
Are you passionate about AI applied to Design and Controls?
Do you enjoy collaborating with multidisciplinary teams to solve complex problems?
Join our Artificial Intelligence & Development team:
Our team provides industry-leading products and services that optimize the production and processing of energy. You will contribute to our future as an AI player in the Energy Transformation industry.
We implement and adapt AI algorithms across a broad variety of projects. These include predictive maintenance and defect detection, control and robotics, design optimization and simulation, unmanned inspections and many others. Our team deploys production-ready code in Cloud and Edge environments to make energy products more efficient, reliable, safe and sustainable.
Partner with the best
You will be instrumental in our mission to make energy safer, cleaner and more efficient through intelligent technologies. If you have Simulation and Controls background and AI experience, we would like to hear from you.
As Lead AI Specialist for engineering and controls, you will be responsible for:
-
Collaborating with multidisciplinary teams in the definition of new AI-Powered Engineering workflows for Product Optimization and Simulation (in terms of performance, manufacturability, controllability)
-
Leading technical development of research and development projects on the combination of AI and engineering methodologies.
-
Developing and integrating software components for AI applications according to customer and technical requirements
-
Checking availability and relevance of internal and external data sources
-
Proposing, and leading new data collection activities. Cleaning and validating data
You will work with:
-
AI Product Owners to define project technical goals and requirements
-
AI Engineers to define the project software architecture and maintenance/retraining strategy
-
Engineering Subject Matter Experts to adapt AI technology to the industry needs
Fuel your passion
To be successful in this role you will:
-
Have experience in defining the technical requirements and expectations of AI solutions for engineering applications.
-
Have deep understanding of Machine Learning and AI algorithms for regression, classification and anomaly detection tasks applied to tabular data with uncertainty quantification and explainability requirements.
-
Have proven experience of applying AI algorithms for dynamical data sources (time series) regression, clustering, anomaly detection and uncertainty quantification.
-
Have experience in combining models with data from different sources and hybrid modelling approaches.
-
Have experience in defining models for 3D/Graph data types.
-
Have proven experience with optimization algorithms (e.g. gradient based, model based, non-parametric for parametric and non-parametric inputs) and active learning.
-
Have experience with traditional control algorithms calibration, MPC and RL.
-
Have experience in software programming languages including Python, C++
-
Demonstrate working knowledge of modern agentic frameworks requirements.
-
Proven track record of keeping up-to-date with industry trends and technology developments in the field of AI applied to Engineering.
-
Demonstrate working knowledge of model deployment techniques and edge serving.
-
Demonstrate working knowledge of turbomachinery thermodynamics, chemistry, rotor dynamic.
-
Demonstrate working knowledge in databases, Test Driven Development and Agile Development methods.
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
-
Occasionally working remotely from home or any other work location
-
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
The Virtual Port:
This is remote role, with occasional travel to one of our local virtual ports.
We want to play a role in the energy transition through the acceleration of digital transformation and the application of intelligent technologies. To make this vision a reality, we need people who are creative, curious and eager to change the world.
We are convinced that freedom and diversity in ideas and experiences are the main drivers of innovation.
We are a group of passionate sailors who appreciate freedom, opportunity, and risk. Our offices are like ports of call, ready to welcome our team and facilitate sharing experiences. If you share our vision, we would like to hear from you.
The Baker Hughes internal title for this role is: Lead Engineer, Mathematics & Data Science, Disciplinary Engineering and Science
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
類似の求人

Manager, Applied Science - Generative AI Data Research
Adobe · San Jose; Seattle; San Francisco

Applied AI & ML Lead – Markets Operations
JPMorgan Chase · LONDON, United Kingdom, GB

Technical Advisor, Microsoft Superintelligence (Office of the CEO)
Microsoft · United States, California, Mountain View; United States, Washington, Redmond

AI LEAD L1
Wipro · Hyderabad, India

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One · 5 Locations
Baker Hughesについて

Baker Hughes
PublicBaker Hughes is a global energy technology company that provides solutions for energy and industrial customers worldwide. The company offers equipment, services, and digital solutions for oil and gas operations, industrial processes, and energy transition technologies.
10,001+
従業員数
Houston
本社所在地
$13.9B
企業価値
レビュー
10件のレビュー
3.7
10件のレビュー
ワークライフバランス
2.8
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
3.2
68%
知人への推奨率
良い 点
Supportive management and great team culture
Excellent benefits and competitive compensation
Professional development and training opportunities
改善点
Heavy workload and frequent overtime
High-pressure and stressful environment
Poor work-life balance
給与レンジ
262件のデータ
L2
L6
Mid/L4
Senior/L5
L3
L4
L5
L2 · Data Scientist L2
0件のレポート
$23,927
年収総額
基本給
$9,571
ストック
$11,964
ボーナス
$2,393
$16,749
$31,105
面接レビュー
レビュー4件
難易度
3.0
/ 5
期間
14-28週間
内定率
25%
体験
ポジティブ 25%
普通 50%
ネガティブ 25%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Digital/HireVue Interview
4
Technical Interview
5
Hiring Manager Interview
6
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
最新情報
Baker Hughes Inaugurates New Subsea Manufacturing Facility, Strengthening North Sea Capabilities - Baker Hughes
Baker Hughes
News
·
1w ago
Upstream investment to rise as oilfield services majors report quarterly results - Energy Connects
Energy Connects
News
·
1w ago
Citi Maintains Baker Hughes(BKR.US) With Buy Rating, Raises Target Price to $80 - 富途牛牛
富途牛牛
News
·
1w ago
Jefferies Raises its Price Target on Baker Hughes (BKR) to $80 from $67 - Yahoo Finance
Yahoo Finance
News
·
1w ago