Strong programming skills in Python, Java, or Scala
Solid foundation in statistics, machine learning, and model evaluation
Experience with deep learning frameworks (PyTorch, TensorFlow) and LLMs (GPT, BERT)
Hands-on experience with end-to-end ML pipelines and deployment
Requirements:
Build and deploy end-to-end AI solutions, including machine learning and generative AI models
Develop and evaluate machine learning and generative AI models and perform data analysis
Scale and deploy ML solutions in production using cloud platforms and MLOps practices
Job description
This is a remote position.
We are looking for a Senior Applied Data Scientist with strong ML engineering expertise to build and deploy end-to-end AI solutions. The role involves developing machine learning and generative AI models, performing data analysis, and scaling solutions in production using cloud and MLOps practices.
Requirements
Strong programming skills in Python, Java, or Scala
Solid foundation in statistics, machine learning, and model evaluation
Experience with deep learning frameworks (PyTorch, TensorFlow) and LLMs (GPT, BERT)
Hands-on experience with end-to-end ML pipelines and deployment
Knowledge of Generative AI (RAG, prompt engineering, fine-tuning)
Experience with big data tools (Spark, Kafka, SQL, ETL pipelines)
Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices
Experience with Docker, Kubernetes, and scalable systems
