Senior AI Engineer (PhD)
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Key skills for this role
About the Role
Jorofy Private Limited seeks a Senior AI Engineer with a PhD to lead design, development, and deployment of advanced AI/ML solutions. The role requires expertise in Generative AI, LLMs, Deep Learning, NLP, Computer Vision, and MLOps.
Key Skills for This Role
Responsibilities
- Conduct advanced research in AI, ML, Deep Learning, and Generative AI
- Architect and develop scalable AI/ML models and intelligent systems
- Design and optimize LLM based applications and AI agents
- Develop and optimize RAG architectures
- Build end to end ML pipelines for model training, deployment, monitoring, and maintenance
- Provide technical leadership and mentorship to AI Engineers and Data Scientists
- Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps
Requirements
- PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or related discipline
- 8+ years of experience in AI/ML development including research and production deployment
- Proven experience leading AI projects in enterprise environments
- Experience with Generative AI, LLMs, and advanced deep learning architectures
- Advanced proficiency in Python
- Experience with PyTorch, TensorFlow, Hugging Face Transformers
- Experience with MLOps tools (Docker, Kubernetes, MLflow, etc.)
- Experience with cloud platforms (AWS, Azure, GCP)
Full Job Posting
Job Overview
- Seeking a highly skilled Senior AI Engineer (PhD) to lead design, development, and deployment of advanced AI/ML solutions.
- Ideal candidate will possess a PhD in AI, ML, CS, Data Science, or related field with extensive industry experience.
- Role requires expertise in Generative AI, LLMs, Deep Learning, NLP, Computer Vision, and MLOps.
AI Research & Innovation
- Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
- Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.
- Publish research findings, technical papers, patents, or contribute to industry thought leadership.
- Lead proof of concept (PoC) development for innovative AI solutions.
Solution Design & Development
- Architect and develop scalable AI/ML models and intelligent systems.
- Design and optimize Large Language Model (LLM) based applications and AI agents.
- Build and fine tune machine learning and deep learning models for production environments.
- Develop AI powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.
- Integrate AI solutions with enterprise platforms, APIs, and cloud environments.
Generative AI & LLM Engineering
- Develop and optimize Retrieval Augmented Generation (RAG) architectures.
- Fine tune foundation models and implement prompt engineering strategies.
- Design AI agents, autonomous workflows, and conversational AI solutions.
- Implement vector databases and semantic search frameworks.
- Evaluate model performance, accuracy, safety, and responsible AI practices.
MLOps & Deployment
- Build end to end ML pipelines for model training, deployment, monitoring, and maintenance.
- Implement CI/CD processes for AI applications.
- Optimize model performance, scalability, and infrastructure costs.
- Monitor model drift and ensure continuous improvement.
Leadership & Collaboration
- Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.
- Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.
- Participate in strategic technology planning and AI transformation initiatives.
- Review code, architecture, and technical deliverables to ensure quality standards.
Required Qualifications
- PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or related discipline.
- 8+ years of experience in AI/ML development, including research and production deployment.
- Proven experience leading AI projects in enterprise environments.
- Experience working with Generative AI, LLMs, and advanced deep learning architectures.
Technical Skills Programming
- Python (Advanced)
- SQL
- Java, C++, or Scala (Preferred)
Technical Skills AI/ML Frameworks
- PyTorch
- TensorFlow
- Keras
- Scikit learn
- Hugging Face Transformers
Technical Skills Generative AI & LLM Technologies
- OpenAI APIs
- LangChain
- LangGraph
- LlamaIndex
- RAG Architectures
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
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