Chief AI Engineer

4 days ago

Kota, Rajasthan, India beBeeAI Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title

A senior technology leader with expertise in AI and machine learning engineering is required to spearhead the design, development, and implementation of advanced models. As a lead engineer, you will guide a team of engineers to ensure the successful deployment of projects that leverage AI/ML technologies.

Key Responsibilities
  • Optimize model performance, conduct rigorous testing, and maintain up-to-date knowledge of industry trends.
  • Mentor team members, promote best practices, and contribute to strategic decision-making within the organization.
Core Areas of Expertise
  • Client Engagement: Discuss client requirements and develop tailored proposals.
  • Demonstrations and Workshops: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates in line with customer budgets.
  • Model Oversight: Oversee the development and deployment of AI models generating content such as text, images, or other media.
  • AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions using Deep Learning and NLP principles.
  • Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives.
  • Strategic Development: Develop value-creating strategies and models to help clients innovate, drive growth, and increase profitability.
  • Technology Awareness: Stay informed about the latest technologies and industry trends.
  • Problem-Solving and Collaboration: Employ logical thinking and problem-solving skills, and collaborate effectively.
Required Skills
  • Hands-on expertise in NLP, Computer Vision, programming, and related concepts.
  • Leadership: Capable of leading and mentoring a team of AI engineers and researchers, setting strategies for AI model development and deployment, and ensuring these align with business goals.
  • Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using TensorFlow, PyTorch, Spark, and Keras.
  • LLM Experience: Experience with Large Language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc., along with experience in LLM integration frameworks like LangChain, Llamaindex, AgentGPT, etc.
  • Deep Learning OCR: Extensive experience implementing solutions using Deep Learning OCR algorithms.
  • Python Expertise: Strong coding skills in Python, including related frameworks, best practices, and design patterns.

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