Lead AI Engineer

16 hours ago

Ernakulam, India Bridge Global Full time

Role & responsibilities

We are looking for an AI Engineer with proven experience and expertise in handling Projects, Clients and Team with a great level of ease and inspiring confidence. Youll be enthusiastic with a positive attitude, dedication and willingness to work hard. The position will include a lot of interaction with foreign clients and diverse cross functional teams.

Key Responsibilities

  • Design, develop, and deploy machine learning models and AI algorithms to address business challenges.
  • Build and manage scalable AI pipelines for data preprocessing, model training, and inference.
  • Collaborate with cross-functional teams to identify AI opportunities and implement solutions.
  • Perform exploratory data analysis and feature engineering to optimize model performance.
  • Develop APIs and integrate AI models into applications and services.
  • Research and implement state-of-the-art techniques in AI and machine learning.
  • Monitor and maintain AI models, ensuring their accuracy and performance over time.
  • Create documentation for AI models, algorithms, and deployment processes.
  • Ensure ethical AI practices and data privacy compliance in all projects.
  • Stay updated on the latest AI/ML advancements and share insights with the team.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (Master's or PhD preferred) or equalent experience.
  • 4+ years experience as an AI Engineer, Machine Learning Engineer, or Data Scientist.
  • Strong programming skills in Python, R, or Java, with expertise in libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models.
  • Strong understanding of machine learning algorithms, deep learning frameworks, and AI systems.
  • Experience with data visualization tools like Tableau or Matplotlib.
  • Proficiency in working with large datasets, SQL, and data preprocessing techniques.
  • Familiarity with version control systems like Git.
  • Understanding of natural language processing (NLP) or computer vision techniques is a plus.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.
  • Ability to work in a fast-paced, dynamic environment

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