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AI Innovations Engineer

2 weeks ago

Hyderabad, Telangana, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer Opportunity

We are seeking a highly motivated and passionate AI engineer who thrives on solving complex problems using cutting-edge technologies.

In this role, you will design, develop, and deploy scalable AI solutions that directly impact real-world applications. You will collaborate closely with cross-functional teams to bring innovation into production environments.

Key Responsibilities:

  • Design, build, train, and deploy machine learning models for production use cases.
  • Perform data preprocessing, feature engineering, and exploratory data analysis to ensure clean input data for models.
  • Collaborate with teams to identify opportunities where AI can deliver business impact.
  • Integrate AI models into production pipelines, APIs, and enterprise applications ensuring scalability, robustness, and performance.
  • Evaluate and optimize models for accuracy, efficiency, and cost-effectiveness.
  • Keep up-to-date with the latest advancements in AI frameworks, research papers, and tools, and recommend their adoption where relevant.
  • Contribute to setting best practices, coding standards, and model governance in the AI team.

Required Skills & Qualifications:

  • Strong expertise in Python and experience with major ML frameworks TensorFlow, PyTorch, Scikit-learn.
  • Proficiency with data handling libraries Pandas, NumPy.
  • Solid understanding of data structures, algorithms, and problem-solving techniques.
  • Minimum 3+ years of hands-on experience in designing and deploying AI solutions.
  • Knowledge or project experience in at least one specialized area such as NLP, Computer Vision, Recommendation Systems.
  • Strong analytical skills and ability to convert business requirements into technical AI solutions.
  • Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field.

Good to Have (Optional Skills):

  • Experience with MLOps tools MLflow, Kubeflow, Airflow, Docker, Kubernetes.
  • Familiarity with cloud platforms AWS, GCP, Azure and their AI services.
  • Contributions to open-source projects, publications, or Kaggle competitions.