Walkin Drive For AI -Technology Analyst at Bangalore (7th NOV 25)

Exclusive

Greeting from Infosys BPM Ltd.,

You are kindly invited for the Infosys BPM:: Walk-In Drive at Bangalore-JP Nagar on 7th Nov 2025

Note:

https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-206442

Interview Information:

• Interview Date: 7th Nov 2025

• Interview Time: 9 AM to 12 PM

Interview Venue - Bangalore-JP Nagar::

Infosys BPM Limited, #785,Ground Floor Axis Sai Jyoti, 15th Cross 100 Feet Road,Sarakki,1st Phase JP Nagar, Bengaluru, Karnataka560078

Landmark: Near Sindhoor Convention Centre

Note:

JP Nagar recruitment center location

Documents to Carry:

• Please carry 2 set of updated CV (Hard Copy).

• Mandatory to carry PAN or Passport for Identity proof.

Job Title:

Experience :3+Years

Location-Bangalore/Pune/HYD (Interview location Bangalore only)

Education-BE/BTech/MTech(Fulltime)

Notice Period-0-30 Days

INFOSYS BPM DTS is a dynamic team, committed to creating cutting-edge technology-enabled business applications with efficiency, effectiveness, and user experience at the core. To broaden our scope, we are continuously seeking self-driven and result-oriented individuals to join us on our journey towards exceeding customer expectations.

We are currently seeking a Technology Analyst with minimum 3 years of experience to reinforce our team. The ideal candidate will have a strong foundation in machine learning, including generative AI, and will be responsible for creating AI models, performing data analysis, and developing algorithms.

Key Responsibilities:

• Develop, test, and deploy AI models, including those based on Generative AI frameworks.
• Collaborate with the team to design AI systems.
• Troubleshoot and improve current AI systems.
• Convert business use-cases into technical requirements and implement appropriate algorithms.
• Keep up-to-date with latest technology trends
  

Required Skills and Experience:

• At least 3 years of experience as an AI engineer or similar role.
• Proficiency in Python,Node.Js, C#, HTML, and JavaScript.
• Experience with AI Libraries/Packages such as Scikit-Learn, TensorFlow, Keras, Pytorch, Pandas, NLTK, OpenCV, WebRTC, LangChain, HuggingFace, and Generative AI frameworks.
• Familiarity with Supervised & Unsupervised Learning, Convoluted Neural Networks, Recurrent Neural Networks (including LSTM), Deep Neural Networks,Progressive Learning, Time-Series Forecasting (including NNs).
• Experience with deployment frameworks such as Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git), and DevOps (CI/CD).
• Experience with cloud platforms such as IBM Cloud, AZURE Cloud, Google Cloud, and AWS.
• Familiarity with Model Ops (AIOps) tools such as Prometheus, MLflow, and Grafana.
  

Additional Skills:

• Strong problem-solving abilities.
• Ability to interpret research literature and implement algorithms based on business use-case.
• Ability to handle multiple competing priorities in a fast-paced environment.
• Excellent verbal and written communication skills.

Educational Qualifications:

• B.Tech / M. Tech

Regards,