AI Engineering Lead

3 days ago

amravati, India beBeeArtificial Full time

Job OpportunityThe Lead AI/ML Engineer will spearhead the design, development and implementation of advanced AI and machine learning models. They will guide a team to ensure successful deployment of projects leveraging AI/ML technologies to solve complex problems.This role involves collaborating closely with stakeholders to understand business needs, translating them into technical requirements, and driving innovation. The responsibilities include optimizing model performance, conducting rigorous testing, and maintaining up-to-date knowledge of the latest industry trends.Client Interaction: Discuss client requirements and develop proposals tailored to their needs.Demonstrations and Workshops: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates in line with customer expectations.Model Oversight: Oversee the development and deployment of AI models, especially those generating content such as text, images or other media.AI Solutions: Engage in coding, designing, developing, implementing and deploying advanced AI solutions.Expertise Utilization: Utilize expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative technologies.Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers.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.Client Interfacing: Demonstrate strong client interfacing skills.Project and Team Management: Manage projects and teams efficiently.Required SkillsSkills: 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 Deep Learning and NLP, with tools such as 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.Neural Networks: Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).Python Expertise: Strong coding skills in Python, including related frameworks, best practices, and design patterns.Preferred Knowledge: Familiarity with word embeddings, transformer models, and image/text generation and processing.Deployment: Experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or Kubernetes.Development Methodologies: Proficient in development methodologies and writing unit tests in Python.Cloud: Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.Experience with information security and secure development best practices.

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