Advanced AI and Machine Learning Engineer

7 days ago

Ellore, Andhra Pradesh, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview: We are seeking a skilled Machine Learning / AI Specialist to lead the development and deployment of advanced AI and machine learning models. This role emphasizes comprehensive technical skills, strategic oversight, and innovative solutions.

Key Responsibilities:

  • Model Development & Optimization: Build, fine-tune, and optimize traditional machine learning and deep learning models for production-grade solutions across multiple domains (NLP, Vision, Audio).
  • Research & Technical Leadership: Stay current with state-of-the-art machine learning and deep learning research, translating complex theoretical knowledge into practical business applications.
  • Deployment & Monitoring: Develop sophisticated deployment strategies and robust monitoring frameworks for continuous performance evaluation and iterative improvement.
  • Collaboration: Partner with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
  • Technical Mentorship: Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.
  • Documentation & Communication: Clearly document and communicate complex technical solutions, methodologies, and results to stakeholders across the organization.

Requirements:

  • Background: Background in Computer Science, Data Science, Statistics, Mathematics, or a related technical discipline.
  • Technical Expertise: 4+ years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models, proficient in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and familiarity with cloud platforms like AWS, Azure, or GCP.
  • Data Science Fundamentals: Deep understanding of traditional machine learning techniques, statistical analysis, predictive modeling, and advanced data science concepts.
  • Deep Learning Knowledge: Proven ability to implement and fine-tune complex neural network architectures, including transformer-based models, CNNs, and RNNs.
  • Strategic Problem-Solving: Demonstrated ability to address ambiguous problems strategically, creatively, and analytically, driving measurable business outcomes.
  • Communication Skills: Ability to clearly articulate technical solutions and insights to diverse stakeholders, from engineers to executives.
  • Track Record: Experience delivering AI-driven solutions to production, demonstrating tangible impact and continuous improvement through data-driven insights.

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