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Infosys BPM Hiring for AI engineer-Pune location
2 weeks ago
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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