Genzeon | Artificial Intelligence Engineer | exton, pa
4 days ago
Job description
Role – AI Engineer(Must have healthcare domain)
Employment Type: Full Time, Permanent
Location: Exton, PA(WFO)
Education: UG: B.Tech/B.E. in Any Specialization
We are seeking a motivated and enthusiastic Junior AI Engineer to join our growing team. The ideal candidate will have a strong interest in artificial intelligence, machine learning, and data science.
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
- 2+ 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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