AI Architect
Job Description
Qualifications and Requirements:
- Bachelors or master's degree in computer science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.
- Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.
- Streamlit -- Python
- Generative AI
- HuggingFace , OpenAi and any Custom Model development experience
- Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
- In-depth knowledge of machine learning techniques, algorithms, and model evaluation.
- Familiarity with big data technologies, cloud platforms, and distributed computing.
- Excellent problem-solving abilities and analytical thinking.
- Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.
- Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
About Company
Skills:
Machine Learning, Sql, Gcp, MLops, Azure, Python, AWS, Data lakes, LLM ecosystems, GenAI, Deep Learning frameworks, AI deployment frameworks, R, AI governance
Skills:
Servicenow, Generative AI, AWS Bedrock, AI Agents, AI governance programs, Azure OpenAI, Responsible AI frameworks, enterprise integrations, AI Control Tower, Google Vertex AI, Microsoft Copilot, intelligent automation
Skills:
Tensorflow, Nlp, Pytorch, Python, Matching reconciliation algorithms, LLM-based systems, Classification, Entity extraction, Production AI deployment, ML frameworks
Skills:
Python, Agentic AI, Multi-Agent Systems, Generative AI, LLMs, Prompt Engineering, Reasoning Frameworks, RAG, Retrieval-Augmented Generation
Skills:
AWS, Node.js, FastAPI, Python, Azure, Jira, Gcp, Multi-cloud AI platform architecture, AI Governance, Generative AI