Make more Creative Job Post Content< Python Gen AI
- Responsibilities:
Location: Join our global team (Flexible/Hybrid Options Available)
Company: Virtusa
Are you a Python wizard with a passion for Generative AI and cutting-edge technologies? At Virtusa, we’re searching for innovative minds to join our team and shape the future of AI-driven solutions. This is your chance to work on impactful projects, contribute to open-source innovation, and collaborate with brilliant professionals across the globe.
What You’ll Do
Build the Future with Python
- Design, optimize, and scale Python-based applications to solve complex challenges and process large datasets.
- Leverage Python’s most powerful libraries—NumPy, TensorFlow, PyTorch, and Scikit-learn—to build AI solutions that matter.
Push the Boundaries of Generative AI
- Develop and fine-tune cutting-edge generative models like GANs, VAEs, and transformers to create transformative solutions.
- Stay ahead of the curve with state-of-the-art Generative AI advancements and apply them to real-world problems.
Dive into Research
- Interpret academic research papers and transform theoretical models into real-world, functional algorithms.
- Build reproducible experiments with well-documented, maintainable code.
Set the Standard for AI Security
- Design and implement robust AI/ML security systems with end-to-end risk management and automated protections.
- Use cloud-native deployment techniques (containers, serverless, CI/CD) to ensure safety and scalability in production environments.
- Deliver vulnerability, robustness, and stress-testing capabilities, integrating seamlessly into MLOps ecosystems.
Contribute to the Open Source Community
- Showcase your commitment to innovation with a track record of contributions to open-source AI/ML projects.
- Collaborate on distributed software development using Git and other tools to accelerate innovation.
Collaborate Across Boundaries
- Partner with cross-functional teams—data scientists, researchers, and product managers—to develop mission-critical applications.
- Communicate complex technical concepts in an approachable and clear manner.
What We’re Looking For
Core Skills & Experience
- Python Expertise: Proven ability to develop, optimize, and scale Python-based applications.
- AI/ML Knowledge: Strong proficiency with AI/ML frameworks (TensorFlow, PyTorch) and data manipulation tools (NumPy, Pandas, Scikit-learn).
- Generative AI Experience: Hands-on experience with models like GANs, VAEs, and transformers.
- Research-Driven Development: Ability to interpret and implement academic research in practical applications.
Preferred Qualifications
- Expertise in NLP concepts and techniques.
- Hands-on experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with AI/ML security standards, risk management, and stress testing.
- Proficiency in cloud deployments (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Proven track record of open-source contributions in AI/ML-related projects.