Deep Learning Specialist

Vakansiyanın detalları

Analyze large and complex datasets from unstructured data, logs, and production records.
Build LM-based applications such as Retriever-Augmented Generation (RAG) to support different teams within the organization.
Create synthetic data for language models, ensuring diversity and representativeness in datasets.
Conduct and contribute to experiments, write reusable code.
Deploy ML/DL models into production.
Work closely with operation and production teams to understand their data needs and provide tailored analytical solutions.
Collaborate with cross-functional teams within the Data Science, Data Engineering, and Data Analytics divisions to ensure data pipelines, models, and analyses are aligned with business needs.
Contribute to innovation by staying updated on the latest industry trends in data science, machine learning, and AI, and applying them to upstream challenges.

Bachelor or Master’s degree in Computer Science, Engineering, Information Technologies or related fields.
1+ Years of experience as Data Scientist or equivalent
Strong knowledge in Python programming language
Deep understanding of the mathematics behind modern machine learning, linear algebra, and statistics
Strong understanding in Classical Machine Learning and Deep Learning Models
Experience with Deep Learning frameworks - (PyTorch or Tensorflow)
Experience with Computer Vision applications or Natural language Processing Applications.
Experience with Git
Strong understanding of CNN, RNN, LSTM, Transformers
Good Understanding of Supervised, Unsupervised techniques for Deep learning models.
Good Understanding of Deployment tools - Docker, Airflow
Good Understanding of Relational Databases (SQL)
Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders