Data Scientist

KCS, Inc.
United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English, French
Job source

Tech stack

Artificial Intelligence Amazon Web Services Artificial Neural Networks Microsoft Azure Cloud Computing Cluster Analysis Computer Programming Python (Programming Language) Machine Learning Natural Language Processing Open Source Technology Performance Tuning
+9 more
Tensorflow Reinforcement Learning Pytorch Large Language Models Generative AI Information Technology HuggingFace Machine Learning Operations Natural Language Generation

Job description

  • You can develop a career that fits you: your career development is personalized, taking in consideration your needs and goals from a short to long term
  • Interesting Challenges Ahead: you can work for several clients from different sectors of activity
  • Free training programs: Our training and certification programs in languages, tech, behavior and business will help you to reach your full potential faster
  • International projects in Benelux: you can gain international experience in Benelux and balance a new way of living with work
  • Type of projects (depending on the project you might find one of this types of projects):
  • In hybrid Systems: Is important to balance work with socialization, that´s why a hybrid system works for us and for you
  • Full Remote projects: If you want to work while you enjoy the comfort of your home
  • Full Onsite projects: if you prefere the company of your colleagues!
  • Take care of your well-being: Enjoy our free nutrition, psicologist, general medicine appointments and our yoga and personal training days… all remote!

Requirements

Dedication

Energy

Integrity & Transparency

Flexibility

️ Trust & Honesty

Hard Work & Proactivity, * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

  • 3+ years of hands-on experience in machine learning and AI development.
  • Strong experience in developing and deploying agentic solutions.
  • Usage Interne / Internal Use
  • Proficiency in implementing RAG techniques.
  • Experience with vector databases.
  • Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face.
  • Deep understanding of NLP techniques and architectures.
  • Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks.
  • Familiarity with cloud platforms (GCP, AWS, or Azure) for AI/ML deployments.
  • Knowledge of MLOps practices and tools.
  • Strong problem-solving and analytical skills.
  • Effective communication in public and teamwork skills.
  • Fluency in English (C1 level or higher) is mandatory.
  • Willingness to learn French.
  • Experience with open-source and commercial LLMs.

Nice-to-Have Skills:

Knowledge of reinforcement learning from human feedback (RLHF).

  • Strong expertise in Generative AI (model training, fine-tuning, and deployment).
  • Understanding of ethical AI principles and model interpretability.
  • Fluency in French.

About the company

At KCS IT, we champion equality and embrace diversity . We foster a safe, inclusive environment where opportunities are equal for all!

We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit., Founded in 2008 and based in Lisbon, KCS IT is a consulting company in the field of Information Technology and Services, focused on creating value for our clients through three main areas: Consulting, Outsourcing, Inovation and Training. Our commitment to talent development is unmistakable in the recent opening of the Porto, Leiria and Azores hubs, which aims to develop technology for the national and international market. Since 2018 we have been elected one of the 10 major companies in the “Index of Excellence”, an initiative that aims to reward organizations that invest most in the development and satisfaction of their employees.

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