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Key responsibilities

  • 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.

 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      

Salary

Competitive

Monthly based

Location

, Kutno County, Łódź Voivodeship, Poland, Łódź Voivodeship, Poland

Job Overview
Job Posted:
18 hours ago
Job Expire:
2w 2d
Job Type
Full Time
Job Role
Engineer
Education
Bachelor Degree
Experience
3 - 5 Years
Slots...
1

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Location

, Kutno County, Łódź Voivodeship, Poland, Łódź Voivodeship, Poland