Data Scientist - Machine Learning Engineer
We are seeking a highly skilled Data Scientist with expertise in machine learning and AI development to join our team. As a key member of our organization, you will play a critical role in driving innovation and delivering value through knowledge and talent.
Job Description:
* Design and develop cutting-edge machine learning models using Python frameworks such as TensorFlow and PyTorch.
* Collaborate with cross-functional teams to drive project success and business growth.
* Stay up-to-date with the latest advancements in machine learning and AI to ensure we remain at the forefront of innovation.
Required Skills and Qualifications:
* 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 expertise in Generative AI (model training, fine-tuning, and deployment).
* Experience with open-source and commercial LLMs.
* 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 (AWS, GCP, 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).
Benefits:
* A competitive salary and benefits package.
* Ongoing training and professional development opportunities.
* The chance to work on exciting and challenging projects.
About Us:
We are a forward-thinking organization dedicated to delivering value through knowledge and talent. We foster a culture of excellence and invest in the development and well-being of our people. Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.