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Python S Jobs in Arizona (NOW HIRING)

Agap Technologies

Python Fullstack Training

Tucson, AZ · On-site

We are offering online training on Python Fullstack training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help ...

Agap Technologies

Python Fullstack Training

Tucson, AZ · On-site

... Python Fullstack training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT ...

TEKsystems

Full Stack Python Developer

Chandler, AZ

$70 - $96/hr

Full Stack Python/React Developer W2 ONLY - NO C2C Hybrid in Chandler, AZ We are seeking a Full Stack Developer with strong technical leadership skills and a proactive, delivery-focused mindset to ...

Pwc

GenAI Python Systems Engineer-Director

Phoenix, AZ · On-site

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

New

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

AVTC Group

Software Engineer Java Python

Tucson, AZ · On-site

S. government issued security clearance is required prior to start date. This effort is on-site ... Python or Visual Basic. • Experience in utilizing integrated development environments and ...

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Python S information

What is a Python Software Engineer?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What are the key skills and qualifications needed to thrive as a Python Software Engineer, and why are they important?

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

What are some common challenges Python Software Engineers face when working on large-scale projects?

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with roles often requiring problem-solving skills and experience with version control systems like Git.

What are 10 careers related to Python?

Careers related to Python include software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, cybersecurity analyst, backend developer, research scientist, and DevOps engineer. These roles often require knowledge of Python programming, libraries, and frameworks, and may involve working in various industries such as technology, finance, healthcare, and research.

What cities in Arizona are hiring for Python S jobs?

Cities in Arizona with the most Python S job openings:

Python S jobs near you

Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies

Phoenix, AZ • On-site

Full-time

Re-posted 9 days ago

Job description

Role Description
This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.
Qualifications
  • Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python. 
  • Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
  • Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration. 
  • Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices. 
  • Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases. 
  • Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven). 
  • Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments. 
  • Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions. 
  • Good understanding of data structures, algorithms and design patterns 
  • Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.