Role – AI Engineer
Education: UG: B.Tech/B.E. in Any Specialization
Key Responsibilities
Assist in developing, testing, and fine-tuning AI and machine learning models under the guidance of
senior team members
Implement algorithms and models in Python or other programming languages, optimizing for
efficiency and accuracy.
Collect, clean, and preprocess data to be used in machine learning models, ensuring quality and
relevance
Support deployment processes for AI models in production environments and assist in maintaining
and monitoring their performance.
Actively participate in brainstorming sessions to identify potential improvements and new solutions.
Document models, processes, and research findings to facilitate knowledge sharing and support
continuous improvement
Gain a thorough understanding of current products and assist business users and clients in promptly
resolving their queries.
Work on POCs for potential Clients
Required Qualifications
1+ years of experience working on Python
Familiarity with libraries like TensorFlow, PyTorch, Scikit-Learn, and Pandas.
Understanding of machine learning concepts, algorithms (e.g., linear regression, classification,
clustering), and neural networks
Experience with SQL or NoSQL databases and basic data manipulation.
Strong analytical mindset with a keen attention to detail and problem-solving abilities.
Excellent communication and collaboration skills
Passion for innovation and a desire to drive positive change in the healthcare industry
Preferred skills
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Familiarity with data visualization tools like Matplotlib, Seaborn, or Tableau.
Basic understanding of DevOps practices, particularly in the context of AI model deployment.
Experience with Git or similar version control systems
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