Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI-full-time opportunities aligned to client needs. BI analysts, data engineers,
We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). Experience with deep learning in PyTorch or T
TensorFlow, PyTorch, scikit‑learn, JAX, Ray, MLflow). Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline. Foundry, AIP, Ontology) – including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosys
Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideally physiological or wearable signals, including foundation‑model and self‑supervised/multimodal approaches. Machine Learning Data Scientist. You’ll contribute end to end by designing and v
TensorFlow, PyTorch, scikit‑learn, JAX, Ray, MLflow). Foundry, AIP, Ontology) – including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipl
Knowledge of statistics, Python, computer vision, data visualization tools. Required skills for data science/machine learning positions:. Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT.