1 to 25 of 158 Permanent Pandas Jobs

concepts and tools in technology. Located in the United States. Desired: Experienced in building data pipelines using libraries such as Pandas and PySpark. Experienced in charting libraries and data visualization Familiarity with building and deploying containerized code (Docker, Kubernetes) Financial industry experience Experience with AI modeling Technology We Use: TypeScript ...

programming languages such as Python, C++, or Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure including data pipelines ...

years of experience in: Machine Learning Engineering Applied AI/ML development Production ML systems Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) Experience developing, training, and deploying ML models in real-world applications Solid understanding of the ML lifecycle (data training validation deployment ...

value What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems ...

learn) and LLM implementation/fine-tuning (BERT, GPT-style models, LLaMA/Ollama, or equivalents). Strong proficiency in data manipulation and analysis (Pandas, NumPy) and SQL (NoSQL experience beneficial). Demonstrated ability to translate complex technical outputs into clear, actionable, business-oriented insights and presentations for non-technical ...

ingestion to model serving for real-world applications used by real people. Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing ...

models, and processes for transparency and reproducibility. Qualifications Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong skills in data manipulation (Pandas, NumPy, SQL). Experience with workflow orchestration (Airflow, Spark, or similar). 3-5 years of experience in data engineering or applied AI. Bachelor ...

Change data capture, data modeling, data streaming, etc.) Experience with profiling and performance optimizations on distributed systems Familiarity with modern Python data science tooling (pandas, polars, dask, duckdb, etc.) Experience with modern data engineering technologies Compensation The base salary range for this position ...

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

data from disparate sources for real-time and batched operational reporting. Data Handling: Write complex, optimized SQL queries, develop Python scripts using libraries like Pandas, NumPy, and PySpark, and integrate Kafka for sophisticated data transfer, manipulation and cleansing. System Optimization: Monitor and tune database performance, ensuring data integrity and security ...

Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience. Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) whether through education or experience. Demonstrated experience with Relational or Non-Relational data stores such as MySQL, Postgres, MongoDB, or DynamoDB whether ...

solving complex problems in a practical way Confident working with both technical and non-technical stakeholders Desirable Experience SaaS platform development Data science libraries (pandas, NumPy, scikit-learn) Infrastructure as Code (Terraform or similar) Docker or containerisation Experience scaling production systems Why Apply? Work on a modern Python SaaS platform ...

Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working ...

MLOps: Establish CI/CD pipelines and manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core Programming: Expert-level Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, FastAPI, LangChain, LlamaIndex). Generative AI: Deep experience with LLMs (Gemini, OpenAI, Claude, Llama) and evaluating model safety/ ...

efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience ...

stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation ...

optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing ...

800.53/FISMA) Data Engineering Experience building and maintaining data pipelines and ETL processes in AWS Proficiency with: AWS Glue or MWAA (Airflow) Python (pandas, PySpark) and SQL Experience with data quality frameworks (e.g., Great Expectations, Glue Data Quality) Knowledge of data replication, transformation, and performance tuning API Development Strong ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

Python (preferred), Java, or C++. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL. Experience with cloud platforms (AWS, Azure, Google Cloud, OpenAI) and MLOps tools. Solid understanding of algorithms, data structures, and software engineering principles. ...

e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Any programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting would be great. Infrastructure Tools: Experience with containerization ...

frameworks (Java, FastApi, Angular, Spring Boot etc.) Desire to mentor and teach others Knowledge of AI/ML and Big Data Tools (DuckDB, Polars, Pandas, Spark) Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays ...

Python and modern software practices, including testing, CI/CD, version control, and code review. Familiarity with scientific Python ecosystems (e.g., numpy, scipy, pandas, matplotlib). Experience building data/controls/DAQ-adjacent systems and integrating with relevant technologies such as SQL databases, time-series/experimental databases (e.g. ...

Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization Experience parsing or generating ...

idea into production Common Tech Stacks at Northstrat: React, Angular, Vue.js, Javascript Java, NodeJS, Ruby, Clojure, Python Docker, Kubernetes, Redis, Kafka, SciPy, NumPy, Pandas CM processes/tools: GIT, JIRA, Confluence Soft Skills Teamwork Communication Skills Self-Motivated Time Management Skills Adaptability to an agile work environment Requirements Required Skills ...