Data Scientist

Job Title: Data Scientist – NLP / GenAI / LLM

Location: Romania (Remote)

Experience: 5+ Years

Employment Type: Full-time / Contract

Role Overview:

We are seeking a highly skilled Data Scientist with expertise in Python, NLP, and Generative AI (LLMs) to design, train, and optimize advanced AI models. The ideal candidate will bring deep hands-on experience with machine learning frameworks, neural architectures, and data pipelines to deliver scalable and high-performance AI solutions.

Key Responsibilities:

• Design, develop, and fine-tune machine learning and deep learning models, including LLMs and NLP-based systems.
• Implement and optimize model training, tuning, and evaluation pipelines using Python and modern ML frameworks.
• Develop robust data preprocessing and augmentation workflows for both structured and unstructured datasets.
• Work with linguistic data, annotation, and text analytics for NLP-based model development.
• Leverage GPU acceleration and parallel computing for efficient model training and inference.
• Research and experiment with cutting-edge architectures such as CNNs, RNNs, LSTMs, GANs, and Transformers.
• Collaborate with cross-functional teams (Data Engineers, MLOps, and Product) to deploy and maintain AI models in production environments.

Required Qualifications:

• 5+ years of experience in machine learning and AI model development, including tuning and training of large-scale models.
• Strong proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, scikit-learn, CUDA, ONNX, TorchServe, etc.
• Solid understanding of deep learning architectures — CNNs, RNNs, LSTMs, GANs, Transformers.
• Proven experience in Natural Language Processing (NLP), Linguistics, and Annotation workflows.
• Hands-on expertise in data preprocessing, augmentation, and pipeline automation.
• Experience with GPU acceleration, distributed systems, and parallel computing.
• Strong problem-solving, research, and analytical skills.

Good to Have:

• Exposure to Generative AI model development, fine-tuning LLMs, or custom model training.
• Familiarity with MLOps practices, model deployment, and monitoring tools.
• Knowledge of cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
• Ph.D. in a relevant domain is a plus.

About Us:

Ascendion is a Global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey.

We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration to address critical challenges of trust, speed, and capital.