Python AI Tester

Location

Pune | India

Job description

Hello Candidate,

Greetings From T-Systems ICT India Pvt. Ltd!

A Deutsche Telekom Group Company.

T-Systems Information and Communication Technology India Private Limited ('TSIN') is a wholly owned subsidiary of T-Systems International GmbH and has a presence in Pune and Bangalore with 3500+ employees providing services to group customers. With around 28,000 employees worldwide and annual revenues of EUR 4.2 billion (2020), T-Systems is one of the leading providers of digital services. The Deutsche Telekom subsidiary is headquartered in Germany and has a presence in Europe as well as in selected core markets and strategic production locations. T-Systems can provide a global production and supply chain to companies operating worldwide. T-Systems offers integrated end-to-end IT solutions, driving the digital transformation of companies in all industries, the public sector, first-class cloud services, digital solutions, and strong systemic security. Focus industries include automotive, manufacturing, logistics, and transportation, as well as healthcare and the public sector. T-Systems develops vertical, company-specific software solutions for these sectors. T-Systems is one of the leading AWS partners in Germany. Let's power higher performance – together!

Job Description for Python AI Tester.

Location – Pune, Balewadi High Street

Experience level - minimum 3 years

Mandatory Skills & Experience

1. Strong programming skills, with proficiency in Python and experience with AI frameworks such as Llama Index, LangChain, TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
2. Hands-on experience with Docker, Kubernetes, Airflow, Kubeflow, MLOps, and DataOps principles.
3. Data Analysis and Pre-processing: Collect and pre-process large-scale text corpora to train and fine-tune language models. Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.
4. Language Model Development: Utilize off-the-shelf LLM services, such as Cloud Open AI, to integrate LLM capabilities into applications, and collaborate with the research team to design and develop state-of-the-art language models.'

OUR CULTURE:

We offer attractive jobs for every career level – in a global network, with innovative technologies and a new-work environment. If you're a creative thinker with a passion for marketing, we'd like to hear from you.

Apply now and join our dynamic team of T-systems! Shape the digital future with us!

#T-Systems #Letspowerhigherperformance #India #Innovation #digitalMarketing #Future #staycuriousandgrow #digitalfuture #wearehiring #greatplacetowork

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