Machine Learning Engineer (Remote)

Company has an opening for a Machine Learning Engineer (MLE) role, who will be responsible for guiding the successful development, automation and governance of AI/ML Solutions to the internal customers. The MLE will be responsible for collaborating with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products for the company.

Client Details

World's leading provider of technology for reservoir characterization, drilling, production, and processing to the oil and gas industry. Working in more than 85 countries and employing approximately 100,000 people who represent over 140 nationalities, Schlumberger supplies the industry's most comprehensive range of products and services, from exploration through production and integrated pore-to-pipeline solutions for hydrocarbon recovery that optimize reservoir performance.

Description

• Script production-ready codes
• Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads
• Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud
• Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions
• Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time
• Conduct internal workshops and external meetups, participate in external conferences, and give talks
• Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed.

Profile

Qualifications and Requirements

• A bachelor's or master's degree in Computer Science, Operations Research, Mathematics and Computing with 3-4 years of relevant experience
• In-depth Understanding of key Machine Learning & Deep Learning Algorithms
• Experience of working with large data sets, coming from varied sources
• Excellent Programming Skills (Python Preferred)
• Experience in Cloud Application Development (Google Cloud Platform & Azure Preferred)
• Solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable
• Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues
• Experience working with deployment & cloud orchestration tools (such as Airflow, Kubeflow, Seldon, SonarQube, Jenkins etc.)
• Proficiency in a Unix/Linux environment for automating processes with shell scripting
• Hands on experience of designing, building, and supporting RESTful APIs

Good to have:

• Knowledge of Oilfield terminology and business practices
• Experience with IoT/ Edge technology is a plus
• Hands on experience of designing, building, and supporting RESTful APIs
• Recognized open-source contributions
• Familiarity with data engineering tools (Flink/Spark/Kafka etc.)
• Experience with big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL stores is a plus

Behavioural Skills:

• Creativity and ability to formulate problems and solve them independently
• Highly collaborative work style
• Strong listening and communications skills
• Presenting & communicating information
• Result and quality focused

Job Offer

As a leading employer in our industry we're proud to offer a highly competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their families. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or other characteristics protected by law.