AI Engineer

Engineering - Software & QA 7 months ago
Employment Information

Job description

We're looking for enthusiastic freshers to join our Innovation team's. You'll learn to build AI-driven platforms and work on cutting-edge projects. Prior internship experience or personal AI/ML projects will be highly valued. This role offers excellent learning opportunities in an agile environment with focus on practical implementation.

Responsibilities

•    Develop cutting-edge AI solutions for future trends
•    Rapidly prototype and deliver impactful features (DemoBytes)
•    Integrate existing libraries/datasets for novel applications
•    Develop select features from scratch when necessary
•    Collaborate cross-functionally on AI innovations
•    Proactively improve systems based on AI trends
•    Participate in agile development processes
•    Deliver frequent, incremental outputs
•    Balance innovation with practical implementation

Requirements and Skills

•    Master's in Computer Science, Engineering, AI, or a related field
•    Strong proficiency in Python; familiarity with Java and R
•    Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision
•    Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras
•    Solid understanding of data structures, algorithms, and software design principles
•    Knowledge of RESTful APIs and microservices architecture
•    Familiarity with agile development methodologies
•    Strong problem-solving skills and ability to work effectively in a team environment
•    Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders
•    Preferred Qualifications
•    Internship experience in AI/ML
•    Personal projects involving AI/ML applications
•    Contributions to open-source AI projects
•    Relevant certifications in AI/ML
•    Note: Candidates with hands-on AI project experience through internships or personal projects will be given priority consideration.
 

Skills
Programming Languages Software Testing Debugging Skills Test Automation Version Control Quality Assurance Methodologies Test Case Design Test Planning Performance Testing Teamwork Technical Support
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