Infosys BPM Hiring for AI engineer-Pune location

2 weeks ago


pune, India Infosys BPM Full time

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 Senior AI Lead with a minimum of ten years of experience to reinforce our team. The ideal candidate will have a strong foundation in machine learning, including generative AI, will be responsible for creating AI models, performing data analysis, developing algorithms, managing the team, driving innovation, and defining architecture.


Key Responsibilities:

  • Develop, test, and deploy AI models, including those based on Generative AI frameworks.
  • Lead and manage the AI team, fostering a positive and innovative work environment.
  • Define and oversee the implementation of AI architecture.
  • Drive innovation, come up with new ideas and strategies to improve and expand AI capabilities.
  • 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 the latest technology trends.

Required Skills and Experience:

  • At least ten years of experience as an AI engineer or similar role, with significant experience in a leadership and architectural 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.
  • Proven leadership skills, including the ability to mentor and develop team members.
  • Extensive experience in defining and implementing AI architecture.
  • Educational Qualifications:
  • B.Tech / M. Tech / B. Sc / M. S in Computer Science, Machine Learning or MCA, B Stat (Hons.), B Math (Hons.), M Stat, M Math, MS (QE), MS (QMS).
  • PG Diplomas or Research Fellows in Business Analytics or Operational Research are also welcome.


REGARDS,

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