Artificial Intelligence Engineer

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