Artificial Intelligence Developer

12 hours ago

Ajmer, Rajasthan, India beBeeArtificialintelligence Full time US$ 80,000 - US$ 1,40,000
Job Opportunity: AI Engineer

This role focuses on designing, developing, and deploying artificial intelligence (AI) solutions to streamline business processes and enhance customer interactions.

  • Key Responsibilities:
  • Develop automation solutions using machine learning algorithms to improve efficiency and productivity.
  • Design and implement AI-driven workflows to optimize business operations.
  • Collaborate with cross-functional teams to integrate AI solutions with existing systems and applications.
  • Ensure the scalability and reliability of AI-powered solutions in production environments.
  • Research and Innovation:
  • Stay updated with the latest advancements in AI technologies through research and knowledge sharing.
  • Experiment with new AI techniques and methodologies to improve solution capabilities.
  • Explore innovative ways to apply AI in automating complex tasks and improving decision-making.
  • Automation Development:
  • Identify opportunities for automating business processes using AI and machine learning.
  • Develop and implement AI-driven automation solutions to optimize workflows and reduce manual intervention.
  • Work closely with process experts to understand process requirements and design suitable AI solutions.
  • Monitor and evaluate the performance of automation solutions, making necessary adjustments to improve efficiency.

Requirements

  • Educational Qualification:
  • Bachelor's Degree in Computer Science, Engineering, Information Technology, or a relevant field from a recognized institution.
  • Experience:
  • Minimum 3-5 years of experience in AI/ML development, with a focus on machine learning and deep learning.
  • Proficiency in Python, Java, or other relevant programming languages.
  • Experience with TensorFlow, PyTorch, Keras, and other AI frameworks.
  • Strong understanding of natural language processing (NLP) techniques and applications.
  • Knowledge of cloud AI platforms like Google Cloud AI Platform, Microsoft Azure Machine Learning, and Amazon SageMaker.
  • Knowledge of machine learning techniques including decision trees, random forests, boosting algorithms, neural networks, deep learning, support vector machines, clustering, Bayesian networks, reinforcement learning, feature reduction/engineering, anomaly detection, sentiment analysis, topic modeling, and natural language generation.
  • Proficiency in data preprocessing, feature engineering, and data visualization.
  • Experience with deploying models using Docker, Kubernetes, or similar containerization technologies.
  • Proficiency with version control systems like Git.
  • Experience in developing and integrating APIs and microservices.
  • Experience with automation frameworks and tools.
  • Experience with voice recognition and synthesis technologies.
  • Familiarity with reinforcement learning and other advanced ML techniques.
  • Contributions to open-source AI/ML projects.
  • Understanding of CI/CD pipelines and DevOps practices.
  • Knowledge of machine learning and artificial intelligence.
  • Strong analytical and problem-solving skills with the ability to think critically and creatively about complex business problems.
  • Excellent communication and leadership abilities.
  • Ability to work collaboratively in a team environment.
  • Familiarity with Agile methodologies.

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