101 to 125 of 305 Permanent Pandas Jobs

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD More ❯

independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Requirements: 7+ years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for More ❯

and architecture best practices. Work directly with customer stakeholders to align requirements and technical implementations.Required Skills & Experience (3-5 years minimum) Strong proficiency with Python data processing libraries (PySpark, Pandas, NumPy). Hands-on experience developing APIs with FastAPI or similar frameworks. Experience writing unit tests with PyTest and leveraging mocking frameworks. Familiarity with CI/CD pipelines and automated More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

ll bring: Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments. Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time-series forecasting, and recommendation systems. Hands-on More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

Have: 5+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks 3+ years of experience with Python and Python tools, including Pandas or NumPy Experience with Large Language Models ( LLMs ) , ML, Deep Learning ( DL ) , and Reinforcement Learning ( RL ) Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, or LangChain Experience More ❯

experience developing and deploying data science solutions in business settings. Proven leadership experience with a demonstrated ability to mentor and manage high-performing teams. Expert proficiency in Python (NumPy, Pandas, scikit-learn, PyTorch, transformers) and advanced SQL. Experience with modern data and compute platforms including Snowflake, Databricks, Spark, and cloud services (AWS, Azure, GCP). Strong track record of delivering More ❯

What we are looking for: We're looking for someone with a strong technical foundation, an innovative mindset, and a collaborative spirit. Technical skills (essential): Expertise in Python (NumPy, pandas, scikit-learn) and SQL Experience with EDA, data wrangling, and visualization tools (e.g., Matplotlib, Plotly, BI tools) Ability to build, evaluate, and deploy ML models (REST APIs, batch jobs, FastAPI More ❯

learning models in a cloud environment Experience operating in a fast-paced environment with ambiguity Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) and create functions to break down problems into modular components focused on robustness, readability and maintainability Nice to haves: Strong knowledge of software engineering best practices Have experience with AI More ❯

quantitative discipline Deepened knowledge in at least one of the following fields: NLP, Computer Vision, Time Series Analysis High Proficiency in Python including relevant open source libraries such as Pandas, Scikit-Learn, Tensorflow and PyTorch Fluent in written and spoken English Experience in customer facing roles focused on business impact and managing expectations Experience in process analysis and process optimization More ❯

What we are looking for: We're looking for someone with a strong technical foundation, an innovative mindset, and a collaborative spirit. Technical skills (essential): Expertise in Python (NumPy, pandas, scikit-learn) and SQL Experience with EDA, data wrangling, and visualization tools (e.g., Matplotlib, Plotly, BI tools) Ability to build, evaluate, and deploy ML models (REST APIs, batch jobs, FastAPI More ❯

processing tools and machine learning tools to find, parse, and extract patterns or targeted data sets. Knowledge of some or all of these Python libraries/frameworks: nltk, spacy, pandas, scikit-learn, seaborn, NumPy, scikit-learn, matplotlib, PyTorch, Stanford Core NLP. To be self-motivated with a strong work initiative and attention to detail. A strong customer service, critical thinking More ❯