DevOps Engineer

1 month ago

delhi, India Aiverbalyze Technologies Private Limited Full time
PAID INTERSHIP FOR SOFTWARE DEVELOPERS
About Us: We are a fast-growing and innovative tech company specializing in AI-driven solutions. Our mission is to revolutionize the way businesses interact with their customers. As a part of our team, you'll have the opportunity to work on cutting-edge projects, gain hands-on experience, and contribute to the development of AI-powered products.
Job Description: As an AI Intern, you will be an integral part of our dynamic and talented development team. You will work closely with experienced AI engineers to design, develop, and optimize AI-driven applications using Python, Django, NLP, PyTorch, and TensorFlow. This internship offers a unique chance to apply your technical expertise to real-world projects, gain practical knowledge, and contribute to the growth of our AI solutions.
Responsibilities:
Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale ( S3, Cache mechanisms )
Assist in the design and development of NLP algorithms and models using Python, PyTorch, and TensorFlow.
Facilitate the development and deployment of proof-of-concept machine learning systems.
Analyze and interpret data to enhance the performance of AI models and applications.
Stay up-to-date with the latest advancements in AI and NLP technologies.
Implement MLOps practices, including version control (Git), continuous integration/continuous deployment (CI/CD), model monitoring, and model serving.
Work in an agile environment, collaborating with cross-functional teams to achieve project goals.
Requirements:
Strong programming skills in Python and experience with Django framework.
Familiarity with Natural Language Processing (NLP) concepts and libraries such as NLTK, spaCy, or BERT.
Knowledge of deep learning frameworks like PyTorch and TensorFlow.
Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
Experience with MLOps practices, including version control (Git), CI/CD, model monitoring, and model serving.
Knowledge of cloud platforms (e.g., Azure, GCP, AWS) and deployment tools.
Effective communication and collaboration skills.
Benefits:
Monthly Stipend
Gain hands-on experience working on AI-driven projects.
Opportunity for future full-time employment based on performance during the internship.
Flexible work hours and remote work options.
Chance to contribute to cutting-edge AI solutions with real-world impact.
Note: Only shortlisted candidates will be contacted for further evaluation. This is a paid internship position with the potential for a full-time job offer based on performance and company requirements.

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