AI Solutions Developer

17 hours ago

Bengaluru, Karnataka, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: AI Solution Developer

We are seeking an exceptional AI Solution Developer to join our team. The successful candidate will be responsible for designing and implementing end-to-end AI solutions that align with business goals.

Key Responsibilities:

  • Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.
  • Oversight of data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.
  • Train and fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate metrics.
  • Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems.
  • Rapid prototyping and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions.
  • Technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration.
  • Staying abreast of AI trends, emerging technologies, and best practices, and contributing to the company's AI strategy by proposing innovative solutions.
  • Deployment of AI solutions into production environments, integrating them with existing systems and workflows.
  • Continuously optimizing AI solutions for speed, efficiency, and accuracy, and addressing any bottlenecks or issues.

Requirements:

  • Bachelor's or master's degree in computer science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.
  • Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.
  • Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
  • In-depth knowledge of machine learning techniques, algorithms, and model evaluation.
  • Familiarity with big data technologies, cloud platforms, and distributed computing.
  • Excellent problem-solving abilities and analytical thinking.
  • Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.
  • Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.

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