Machine Learning Engineer/Data Scientist

RE Partners
is a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry's leading companies, our global talent has helped many clients achieve their goals.

The 3 G's of RE:

"Get Shit Done."

"Get Over Shit."

"Give a Shit."

What's In It For You

• Wellness/Fitness packages
• Continuous Education and Certifications
• Paid Time Off and Holidays
• Professional Conferences and Training
• Global Team Building Activities
• Access to co-working spaces worldwide

Machine Learning Engineer / Data Scientist

We are looking for a Machine Learning Engineer (MLE), who will be responsible for guiding the successful development, automation and governance of AI/ML Solutions to the internal customers. You 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. You have a strong working knowledge of Cloud, DevOps/ MLOps, Machine Learning, Deep Learning and Application Development. As the MLE, you will also be involved in the formulation of key business requirements to be solved and rationalizing the various best practices to solve those problems.

Key responsibilities

• 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
• Know the details of AI/ML algorithms, not just libraries to call. The ability to design distributed, GPU and parallelized algorithms
• Design state of the art descriptive, diagnostic and predictive algorithms based on the business requirements
• Conduct internal workshops and external meetups, participate in external conferences, and give talks

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

Behavioral 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

Join Our Global Team:
We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer:
We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status