Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
In this role, you will
- Design, develop, and maintain Python applications leveraging the GenAI tools and technologies.
- Integrate GenAI with AI/ML models, APIs, and data pipelines.
- Build scalable services for real-time and batch processing of AI workflows.
- Collaborate with data scientists, ML engineers, and product teams to implement AI-driven solutions.
- Optimize performance and reliability of AI applications and services.
- Write clean, efficient, and well-documented code following best practices.
- Participate in code reviews, testing, and deployment processes.
- Stay updated with the latest advancements in AI, LLMs, and MCP.
- Proficiency in Python and related libraries/frameworks (FastAPI, Flask, Django).
- Solid understanding of AI/ML concepts and experience working with frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Hands-on experience with OpenAI models & limitations, Azure Data Factory and Azure Data Bricks development.
- Strong knowledge of RESTful APIs and microservices architectures.
- Familiarity with cloud platforms (Azure, or GCP) and containerization (Docker, Kubernetes).
- Experience with data integration, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG).
- Strong problem-solving and debugging skills.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Working arrangements
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in city, province. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Post closing date
Applications will be accepted until September 12, 2025.
Key Skills
Ranked by relevanceReady to apply?
Join Cognizant and take your career to the next level!
Application takes less than 5 minutes