AI/ML Strategist and Technology Architect
7 days ago
About the Job
We are seeking a highly skilled AI/ML Strategist and Technology Architect to spearhead the design, development, and implementation of advanced AI and machine learning models. As a key member of our team, you will guide engineers in ensuring the successful deployment of projects that leverage AI/ML technologies to solve complex problems.
Key Responsibilities
- 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 budgets and organizational financial guidelines.
- 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 your 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 Skills
- 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 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.
- 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.
Salary Range: $150,000 - $180,000 per year based on location and experience.
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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