Data Scientist

2 days ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Saal Full time
Data Scientist

Direct message the job poster from Saal.ai

Experience in Oil and Gas, Finance

Responsibilities
  1. Deliver high-quality AI models across a broad spectrum of numeric and text analytics.
  2. Understand the practical scope of the AI models within the products.
  3. Use modeling techniques which include data acquisition from diverse sources, data exploration, feature engineering, evaluating algorithms/architectures, and deploying the models iteratively to improve the final solution.
  4. Identify valuable data sources and automate collection processes.
  5. Undertake preprocessing of structured and unstructured data.
  6. Build and finetune models.
  7. Propose solutions and strategies to business challenges.
  8. Collaborate with Engineering and DevOps teams for deployment.
  9. Contribute to the team's research activities.
AI/ML
  1. Develop and integrate algorithms/packages into the platform.
  2. Add new ML models to the SAAL platform marketplace.
  3. Work closely with Product, Support, and Success teams to understand customer needs and contribute to the successful roll-out of the tools into trials and general availability.
Communication
  1. Utilize state-of-the-art, best-in-class tools, techniques, and methods to deliver technical presentations to peers, leadership team, sales executives, clients, prospects, etc.
  2. Work collaboratively with various internal stakeholders to bring in synergies to the solution architecture, implementation plan, optimized delivery model, and costing.
Related Assignments
  1. Perform other related duties or assignments as directed.
Minimum Qualifications:
  1. Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or related field.
  2. Certifications in any technology streams are preferred.
  3. Minimum 4-6 years or more experience in a similar field.
Job-Specific Skills:
  1. Demonstrable experience in theory and applied areas of Machine Learning/Deep Learning.
  2. Experience in developing pipelines for both structured and unstructured data.
  3. Working knowledge in applied NLP (Offline LLM utilization is a plus).
  4. Practice with Deep Learning libraries e.g., Tensorflow, PyTorch.
  5. Seasoned programming skills in Python, Java, R.
  6. Good experience in RESTifying APIs and Dockerization.
  7. Extensive practice in writing good code using suitable data structures.
  8. Excellent communication skills.
  9. Broad experience working with Educational/Finance data sets are encouraged.
  10. Self-motivation and the appetite to build novel solutions or algorithms.

Language: French is a plus.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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