Photon

Builds custom software and AI for big companies

Python Development - Multiple Teams

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

Experience coding in Python.
Experience building agentic solutions using Python or a framework.
Knowledge of prompt engineering, context engineering, harness engineering, and loop engineering.
Practical knowledge of building complex agentic workflow pipelines.
Working experience training and building models on AWS services or other cloud platforms.
Familiarity with artificial intelligence and machine learning libraries.
Ability to build quick prototypes using Streamlit or Gradio.
Experience with MLOps.
Direct experience with Agile, Scrum, Git, and Jira.
Effective communication, teamwork, and presentation skills are required.
A Bachelor of Engineering in Computer Science, a postgraduate degree, a PhD, or equivalent experience working as a key contributor in a data science team.

Responsibilities

Apply data science and data-wrangling skills to improve image-related products.

Desired Qualifications

Knowledge of Docker and AWS container orchestration.
Experience building robust applications using Python.
Experience in machine learning engineering.
Experience with natural language processing, variational autoencoders, and diffusion models.

The Skills that are Key to this role
Technical / Behavioral
• Experience in coding in Python.
• Experience on building Agentic solutions using Python or some framework.
• knowledge of prompt engineering, context engineering, harness engineering and loop engineering.
• practical knowledge on building complex agentic workflow pipelines.
• Working experience of training and building models models on AWS services or other cloud.
• Familiarity with AI/ML libraries.
• Building quick protype using Streamlit or Gradio
• Knowledge of Docker and AWS container orchestration is plus.
• Experience with MLOps.
• Direct experience in Agile, SCRUM, git, JIRA etc.

The Skills that are Good To Have for this role
• Building robust application using python.
• You should have an experience in Machine Learning Engineering.
• Effective communication, able to work with teams, presentation skills - required for the role.
How Your Work Impacts the Organization
The Team

We are Fidelity Labs, Fidelity Investments’ in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to craft the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve. Fidelity Labs is a dynamic workplace that combines the best parts of startup life—building from scratch, adapting quickly, and moon-shot ambition—with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. Learn more at https://labs.fidelity.com/ .

The Expertise We’re Looking For
• BE in Comp Science, Post-graduate degree, Phd or degree with equivalent experience working as a key contributor in a data science team
• You will apply your data science and data wrangling skills to improve image related products.
• Experience with NLP, VAE, Diffusion is good.

About the Company

Photon

Builds custom software and AI for big companies

Photon designs, builds, and runs custom software for large companies, combining an in-house creative agency with its own engineering teams. Its flagship client work includes rebuilding Samsung's US online store as a set of smaller linked services and creating Olive Garden's mobile app, which lets diners join the waitlist from their phones instead of waiting at the door. Clients hire Photon's teams to plan and code their apps, websites, and AI tools and to keep them running afterward, paying for the engineers and designers assigned to each project. Photon is privately held and based in London, with its US arm in Dallas and engineering centers in Chennai and Bengaluru.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: London, United Kingdom
Founded: Not listed

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