computer science fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and More ❯
computer science fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and More ❯
years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data findings to technical and non More ❯
San Antonio, Texas, United States Hybrid / WFH Options
IAMUS
active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. Familiarity with various log More ❯
years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL More ❯
experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt More ❯
experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt More ❯
experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt More ❯
Demonstrated experience with Python, Jupyter demonstrated experience with Machine Learning, including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow Exposure to/understanding of network data analysis (IP traffic)using Bro/Zeek, TShark/PyShark, or other network analysis tools Desired More ❯
back-end technologies Active TS/SCI (willingness to take CI Poly) Proven experience working with AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Strong experience in both front-end (React, Angular, Vue.js) and back-end (Node.js, Python, Java, etc.) development Experience with cloud platforms More ❯
similar Python frameworks like Streamlit) for dashboard creation. Experience with Machine Learning model development and data science workflows (including frameworks such as scikit-learn, PyTorch, or TensorFlow). Experience in Quantitative Finance or strong interest in mathematical/financial modeling, derivatives pricing, or algorithmic trading. Familiarity with ETRM platforms (e.g. More ❯
similar Python frameworks like Streamlit) for dashboard creation. Experience with Machine Learning model development and data science workflows (including frameworks such as scikit-learn, PyTorch, or TensorFlow). Experience in Quantitative Finance or strong interest in mathematical/financial modeling, derivatives pricing, or algorithmic trading. Familiarity with ETRM platforms (e.g. More ❯
Statistics, or equivalent fields Strong mathematical background (linear algebra, calculus, probability & statistics) Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience with modern software development tools and practices (Git, pull requests) Experience analyzing model More ❯
Statistics, or equivalent fields Strong mathematical background (linear algebra, calculus, probability & statistics) Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience with modern software development tools and practices (Git, pull requests) Experience analyzing model More ❯
with business goals and prioritising impactful projects. Platform-agnostic approach to machine learning technologies. Proficiency in Python. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Strong knowledge of data engineering tools and technologies (e.g., Spark, Hadoop, SQL). Experience with cloud platforms such as AWS, Azure, or Google More ❯
application to large-scale biological datasets. Proficiency in Python and R. Familiarity with SAS is beneficial. Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, and JAX. Expertise in database management systems, including graph databases. Proven experience with ETL pipelines for biological data and knowledge graph construction. Advanced knowledge More ❯
CD pipelines, monitoring frameworks). Strong proficiency in Python and libraries like Pandas, NumPy, and scikit-learn, with familiarity in frameworks like TensorFlow or PyTorch being a plus Cloud experience—AWS preferred - including deploying and managing models in cloud environments (will still consider GCP/Azure) Curious and pragmatic mindset More ❯
CD pipelines, monitoring frameworks). Strong proficiency in Python and libraries like Pandas, NumPy, and scikit-learn, with familiarity in frameworks like TensorFlow or PyTorch being a plus Cloud experience—AWS preferred - including deploying and managing models in cloud environments (will still consider GCP/Azure) Curious and pragmatic mindset More ❯
prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through internships Experience with deep learning frameworks such as PyTorch Proficiency in software engineering An understanding of Computer Science and software engineering fundamentals such as data structures and algorithms and a data oriented approach to More ❯
learning and data science processes, explainability, and visibility. Tech Stack You'll Be Working With Languages : Python, SQL (Postgres) ML/AI Libraries : TensorFlow, PyTorch, scikit-learn, Pandas/Polars Infrastructure : Docker, AWS Sagemaker, EKS, Lambda, Athena Orchestration & Data Tools : Dagster (or Airflow), ClickHouse, MLFlow We pride ourselves on being More ❯
for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine learning libraries like scikit-learn, PyTorch, TensorFlow, and SciPy. Hands-on experience working with multi-modal data (images, text) and relevant ML techniques. Experience with cloud technologies and data storage solutions More ❯
for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine learning libraries like scikit-learn, PyTorch, TensorFlow, and SciPy. Hands-on experience working with multi-modal data (images, text) and relevant ML techniques. Experience with cloud technologies and data storage solutions More ❯
role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯
role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯
role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯
