
Senior AI Technology Strategist
5 days ago
About this position
Job SummaryWe are seeking a highly skilled and experienced AI Engineer to lead our team in designing, developing, and implementing advanced AI and machine learning models.
Your role involves guiding a team to ensure successful project deployment, leveraging AI/ML technologies to solve complex problems.
This is a challenging opportunity for an exceptional individual to drive transformative technologies and contribute to organizational initiatives providing high-quality, value-adding solutions to customers.
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 expectations.
- 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.
- Expertise Utilization: Utilize expertise in NLP, Python programming, LLMs, Deep Learning and AI principles to drive transformative technologies.
- Leadership and Initiative: Actively lead projects contributing to unit-level and organizational initiatives providing high-quality, value-adding solutions to customers.
- Strategic Development: Develop value-creating strategies and models helping clients innovate, drive growth and increase profitability.
- Technology Awareness: Stay informed about latest technologies and industry trends.
- NLP: Hands-on expertise in NLP, Computer Vision, programming and related concepts.
- Leadership: Lead and mentor a team of AI engineers and researchers, set strategies for AI model development and deployment aligning with business objectives.
- Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP with tools like 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.
- 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.
- 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 like AWS, Azure or Google Cloud.
- 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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