AI Solutions Developer

2 days ago

Ghaziabad, Uttar Pradesh, India beBeeArtificialintelligence Full time ₹ 1,69,99,830 - ₹ 2,51,49,546
AI Solutions Developer - Product Engineering

We are seeking a skilled professional to design, develop and deploy AI solutions that enhance product development workflows and engineering services.

Key Responsibilities:
  • Apply advanced machine learning techniques to improve hardware verification, software testing and organisational processes.
  • Select and build appropriate AI/ML models based on problem type and business objectives.
  • Suitable datasets must be split into training/testing sets for robust evaluation and validation.
  • Models should be designed for transparency, interpretability and regular updates.
  • Datasets will be collected, cleaned and preprocessed from multiple sources.
  • Large-scale structured and unstructured datasets will be managed for modelling purposes.
  • Automated processes in account marketing, CRM and organisational workflows will be implemented.
  • Cross-functional engineering teams will be collaborated with to embed AI into production systems.
  • Deployed models will be monitored for performance, retrained and refined as needed.
Requirements:
  • Bachelor's degree or higher in Computer Science, Engineering or Data Science.
  • Minimum 6+ years of experience in software, hardware or systems engineering.
  • At least 3 years of hands-on experience in AI/ML model development, training and deployment.
  • Strong programming skills (Python, Java, R) are required.
  • Proficiency with AI/ML frameworks such as TensorFlow, PyTorch or Keras is necessary.
  • Solid knowledge of data science practices like feature engineering, pipelines and metrics is essential.
  • Familiarity with NLP, computer vision and/or generative AI is beneficial.
  • Experience with cloud platforms (AWS, GCP, Azure) and DevOps (Docker, Kubernetes, CI/CD) is advantageous.

The ideal candidate combines strong technical expertise with the ability to translate business challenges into scalable AI solutions. They should be able to work collaboratively with cross-functional teams to drive innovation and growth.

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