AI Engineer

3 days ago

bangalore, India C5i Full time

Role: AI Engineer


1.1 Responsibilities

  • Design and implement AI models and algorithms to address business challenges and opportunities.
  • Collaborate with cross-functional teams (including data scientists, software engineers, and product managers) to integrate AI solutions into our products and services.
  • Conduct data collection, preprocessing, and analysis to ensure the quality and integrity of data used in AI models.
  • Stay up to date with the latest AI trends, tools, and best practices to continuously improve our AI capabilities.
  • Evaluate and improve the performance of AI models through rigorous testing and validation.
  • Document AI development processes, solutions, and results for knowledge sharing and future reference.
  • Serve as the primary liaison for data labeling, managing communication with in-house teams and third-party vendors to ensure project alignment and high-quality data delivery.
  • Create instructional materials for consistency in the labeling process, oversee multimedia content preparation while ensuring compliance, and conduct quality reviews for data accuracy.
  • Strategically select labeling tools and advocate for additional resources, including hiring specialized personnel, to meet project demands efficiently.
  • Assist in the mentoring and development of junior AI team members.

1.2 Experience

  • Bachelor/Masters in Statistics, Mathematics, Computer Science, Machine Learning, or related areas.
  • 3+ years of hands-on experience in AI and machine learning projects.
  • Proven track record of developing and deploying AI models that have resulted in tangible business outcomes.
  • Experience with machine learning frameworks (such as TensorFlow, PyTorch) and libraries (like scikit-learn, pandas).
  • Familiarity with cloud services (AWS, Google Cloud, Azure) for AI development and deployment is preferred.
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Experience in working with large datasets and deep learning architectures.

1.3 Personal Skills

  • Strong proficiency in programming languages such as Python.
  • Deep understanding of machine learning algorithms and principles, including supervised and unsupervised learning, neural networks, and natural language processing.
  • Excellent analytical and problem-solving skills.
  • Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical team members.
  • Strong organizational skills and the ability to manage multiple projects simultaneously.
  • A continuous learner with a passion for staying at the cutting edge of AI technology.

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