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Clyptus - Artificial Intelligence/Machine Learning Engineer

Clyptus Software Solutions Private Limited
Multiple Locations
5 - 8 Years
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4.1white-divider14+ Reviews

Posted on: 19/07/2025

Job Description

Skills : AI/ML, Machine Learning, TensorFlow, CI/Cd, AWS, devop, azure


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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