Python lead with gen AI
Techneptune Consulting Inc
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Cloud Computing
Databases
Continuous Integration
Monitoring of Systems
Python
PostgreSQL
MongoDB
MySQL
TensorFlow
Google Cloud Platform
Enterprise Software Applications
PyTorch
Large Language Models
Prompt Engineering
Generative AI
Containerization
Kubernetes
Information Technology
HuggingFace
Machine Learning Operations
Docker
Microservices
Job description
We are seeking an experienced Python Lead with strong expertise in Generative AI to spearhead the design, development, and deployment of AI-powered solutions. This leadership role involves guiding a team of developers, collaborating with data scientists, and driving innovation by integrating cutting-edge AI models into enterprise applications., * Lead a team of Python developers in building scalable AI-driven applications.
- Architect and implement solutions using Generative AI models (LLMs, diffusion models, transformers).
- Collaborate with data scientists and ML engineers to fine-tune and deploy models in production.
- Design APIs and microservices to enable AI-powered features such as text generation, summarization, and multimodal applications.
- Ensure best practices in coding, testing, and deployment across the team.
- Mentor junior developers and foster a culture of innovation and continuous learning.
- Optimize AI applications for performance, scalability, and ethical use.
- Stay ahead of industry trends in Generative AI and recommend adoption strategies.
Requirements
- Bachelor's/Master's degree in Computer Science, Engineering, or related field.
- 7+ years of experience in Python development, with at least 2 years in a leadership role.
- Strong understanding of Generative AI concepts (LLMs, embeddings, transformers).
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face).
- Proven track record of deploying AI models into production environments.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
- Knowledge of databases (MongoDB, PostgreSQL, MySQL).
- Excellent leadership, communication, and problem-solving skills.
Preferred Skills
- Experience with prompt engineering and fine-tuning large language models.
- Knowledge of MLOps practices (CI/CD for ML, model monitoring).
- Exposure to NLP, computer vision, or multimodal AI applications.
- Understanding of Agile/Scrum methodologies.