26 to 50 of 159 Permanent Pandas Jobs

operating real-time or streaming data systems (e.g., Redis Streams, Kafka, Pulsar, Flink). Experience with scientific/numerical Python libraries (NumPy, SciPy, Pandas), GCP (or comparable cloud infrastructure), containerization (Docker/Kubernetes), and Infrastructure as Code/CI/CD pipelines (Terraform, GitHub Actions, GitLab CI, etc.). Comfortable ...

/ML development Proficiency in Python and Common AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with data processing and analysis (SQL, Pandas, etc) Understanding of APIs and system integration Strong problem solving and analytical skills Preferred Qualifications: Experience in marketing technology or digital marketing analytics Familiarity with ...

aided design (CAD) Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness Modeling and simulation, including directed energy Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow Reinforcement learning, large language model development, computer vision, data mining, and core ...

partnering with business stakeholders to deliver high-impact data solutions. Key Responsibilities Data Engineering & Architecture Design and build scalable data pipelines using Python (PySpark, Pandas, Airflow). Architect data lakes/warehouses (Snowflake, Redshift, or similar). Implement real-time and batch data processing frameworks . Optimize data models ...

/service development experience. Knowledge of cloud platforms (AWS, GCP, Azure), distributed systems, and CI/CD pipelines. Strong data manipulation skills (SQL, pandas) and experience evaluating AI system outputs. Ability to work with ambiguity and optimise non-deterministic systems while balancing latency, cost, and quality trade-offs. Desirable Skills ...

Deep understanding of object-oriented design, concurrency, and high-performance distributed systems Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems Prior ...

leading university is a great indicator, though it's your depth of applied expertise that matters most. Technically, you bring: Python fluency (NumPy, Pandas, Scikit-Learn, PyTorch) and solid TypeScript/API skills Hands-on experience with LLMs prompt engineering, evaluation, RAG architectures, safety considerations Cloud-native development ...

M.S. or Ph.D. in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing ...

Data Science, or a related field. Experience designing, building, and maintaining data pipelines for large-scale data solutions. Core Technical Proficiencies Proficiency in Python, pandas and data science libraries plus solid SQL skills for querying and manipulating large datasets. Experience with PostgreSQL is preferred. Ability to design scalable, secure data ...

scaled full stack products Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability to build data-secure, privacy-compliant infrastructure ...

from development to production systems. Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, NumPy, Pandas, and Scikit-learn. Train, test, track and curate models using standard tools and practices. Integrate GitOps for continuous integration and deployment of models using Docker ...

models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). ...

software engineering, data engineering, or ML engineering. Strong problem-solving skills and ability to work independently. Excellent communication and collaboration skills. Proficiency in Python (Pandas, NumPy, or SciPy) or R is required. Previous experience in building Batch or Streaming Data and ML pipelines is preferred. Proficiency in building and working ...

software engineering, data engineering, or ML engineering. Strong problem-solving skills and ability to work independently. Excellent communication and collaboration skills. Proficiency in Python (Pandas, NumPy, or SciPy) or R is required. Previous experience in building Batch or Streaming Data and ML pipelines is preferred. Proficiency in building and working ...

software engineering, data engineering, or ML engineering. Strong problem-solving skills and ability to work independently. Excellent communication and collaboration skills. Proficiency in Python (Pandas, NumPy, or SciPy) or R is required. Previous experience in building Batch or Streaming Data and ML pipelines is preferred. Proficiency in building and working ...

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 ...

degree preferred. Programming: Strong proficiency in statistical and general-purpose programming languages, including Python (and R or similar languages desirable) and frameworks such as pandas (and tidyverse or similar packages for other languages desirable). Cloud computing: Experience in working with cloud computing platforms and data services such ...

stakeholder alignment What you’ll bring BA experience in energy trading, analytics or modelling Strong knowledge of Gas, LNG & Power markets Experience with Python (pandas, NumPy) and data-heavy environments Understanding of forecasting/ML workflows Strong stakeholder and Agile delivery skills ...

Qualifications Core Technical Skills Skill Area Requirements Programming Strong proficiency in Python for data manipulation and scripting. Familiarity with standard Python data libraries (e.g., Pandas, NumPy ). Database Expert-level proficiency in SQL (Structured Query Language). Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts ...

professional experience. You must have "under-the-hood" knowledge of Python, specifically for building high-throughput microservices and complex data pipelines using FastAPI, Pandas, and NumPy . The RAG & Agentic Expert: This is the "Critical" requirement. Our client needs someone with deep hands-on experience building Retrieval-Augmented Generation ...

professional experience. You must have 'under-the-hood' knowledge of Python, specifically for building high-throughput microservices and complex data pipelines using FastAPI, Pandas, and NumPy . The RAG & Agentic Expert: This is the 'Critical' requirement. Our client needs someone with deep hands-on experience building Retrieval-Augmented Generation ...

operate independently and take ownership of complex problems Strong communication skills, with the ability to explain technical concepts clearly Technical Environment Python (e.g. pandas, scikit-learn, TensorFlow/PyTorch where relevant) SQL and large-scale data processing Cloud-based environments (e.g. AWS, Azure, or similar) Experience with model deployment, monitoring ...

infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc. ...

related field Proven experience with ML/AI algorithms (neural networks, reinforcement learning, predictive modeling, Bayesian methods) required Strong coding skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and familiarity with MATLAB or R Experience handling large datasets, time-series data, or real-time streaming inputs; proficiency with ...

Data Scientist or equivalent role Strong expertise in AI, machine learning, and statistical methods Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels) Experience with cloud-based ML deployment (e.g., AWS services) Ability to absorb complex scientific concepts and apply them ...