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Work Location (with ZIP code for US) |
WFO/ Hybrid – Any India Infosys DC locations (Pune, Hyderabad, Chennai, Mangalore, Chandigarh, Bangalore, Kocchi, Bhubaneshwar, Jaipur etc) |
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Job Description |
Job Description:
- Minimum 5 - 8 years of experience in Data Science and Machine Learning.
- In-depth knowledge of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques.
- Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
- Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
- Expertise in data engineering, including data curation, cleaning, and preprocessing.
- Knowledge of trusted AI practices, like fairness, transparency, and accountability in AI models and systems.
- Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models.
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
- Understanding of data privacy, security, and ethical considerations in AI applications.
- Track record of driving innovation and staying updated with the lates
Mandatory Skills:
Generative AI techniques, NLP techniques, BERT, GPT, or Transformer models
Azure Open AI GPT models, Hugging Face Transformers, Prompt Engineering
Python, Knowledge on frameworks like TensorFlow or PyTorch, LangChain, R
Deploying AI solutions in Azure, AWS, or GCP.
Deep learning in Computer Vision (CV), Large Language Model (LLM)
Good to Have Skills:
Knowledge on DevOps and MLOps practices
Implement CI/CD pipelines
Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
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