
AI/ML Visionary
1 day ago
About the Opportunity
We're seeking an exceptional Lead AI/ML Engineer to spearhead the design, development, and implementation of advanced AI and machine learning models. Your role will involve guiding a team of engineers ensuring the successful deployment of projects that leverage AI/ML technologies to solve complex business challenges.
Key Responsibilities:
- Dive into client requirements, developing tailored proposals that meet their needs and drive innovation.
- Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare estimates aligned with customer budgets.
- Oversight of AI model development and deployment, especially for content-generating models like text, images, or other media.
- Coding, designing, developing, implementing, and deploying cutting-edge AI solutions.
- Driving transformative technologies through NLP, Python programming, LLMs, Deep Learning, and AI principles expertise.
- Active project leadership and contribution to both unit-level and organizational initiatives, providing high-quality, value-adding solutions to customers.
- Developing value-creating strategies and models to help clients innovate, grow, and increase profitability.
- Staying informed about the latest technologies and industry trends.
- Employing logical thinking and problem-solving skills, and collaborating effectively.
- Demonstrating strong client interfacing skills.
- Efficiently managing projects and teams.
Required Skills:
- Hands-on NLP, Computer Vision, programming, and related concepts expertise.
- Leadership: Capable of leading and mentoring a team of AI engineers and researchers, setting strategies for AI model development and deployment, and aligning them with business objectives.
- 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.
Qualifications:
- Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
- 8+ years in IT with a focus on AI/ML practices and background.
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