Senior Engineer, AI Machine Learning

7 days ago

Bengaluru, Karnataka, India Code and Theory Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities

  • Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals
  • Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities
  • Oversee 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
  • Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions
  • Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration
  • Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions
  • Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows
  • Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues
  • Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments

Preferred candidate profile

  • Proven experience as an AI Engineer, Machine Learning Engineer, Data Engineer or AI Architect, with a track record of successful AI solution design and implementation
  • Strong programming skills in Python, 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
  • Experience building and deploying AI/ML-powered products to live production

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