Job Description
- Build and Code: Codes AI workflows following AI processes and standards. Conducts unit tests, security code checks and delivers and maintains documentation.
- Delivery dates: Organizes the work to meet delivery dates and raised issues/challenges proactively to meet the deadlines.
- Delivery phase: Participates in the end-to-end testing in order to deliver production grade quality code (in terms of performance, stability and scalability).
- Works and collaborates closely with Data Scientists
- Implement new workflows to integrate AI models into Applications and Solutions.
- Integrate DevOps concept and tools to provide an Agile and scalable environment
- Participate in the design, development and evolution of microservices, APIs and reusable libraries for the execution of our algorithms in mission critical production environments.
- Participate in the technological watch and definition of development standards to ensure system efficiency, resilience, and sustainability.
- Participate in the development and evolution of back-end components for the execution of our algorithms.
- Optimize the platform for maximum velocity and scalability.
- Optimize and prioritize development tasks in collaboration with the team.
- Help our testers in setting up component and integration tests.
- Ensure the high level of quality of the work delivered.
- Strengthen the development team productivity.
- Oversee the development of appropriate tactics to achieve objectives.
- Support and be proactively involved in problem situations or issues.
- Play a Technical Leader / Mentor role for Squad members.
What you bring to the table :
- Bachelor’s in computer engineering, computer science or software engineering (from a reputed university)
- Minimum of 4 years of significant experience in development of enterprise grade software solutions
- Proficient in Python language & GIT
- Proficient in AWS technologies such as ECR, ECS, SQS, Lambda and CloudWatch.
- Proficient in Terraform
- A very good understanding of machine learning and artificial intelligence.
- A good knowledge of Generative AI and Retrieval-Augmented Generation (RAG).
- A good knowledge of MLOps best practices.
- Experienced with software engineering life cycle and agile methodologies.
- Experienced in developing complex services based on Docker, Fast API
- Experienced with modern DevOps tools such as Gitlab CI/CD, Grafana, ELK stack
- Working knowledge of streaming and batch processing systems such as Kafka.
The pay range that the employer reasonably expects to pay for this position is between CA$70.00 and CA$100.00
Our voluntary benefits offering includes medical, dental, vision and retirement benefits.
Applications will be accepted on an ongoing basis.
Tundra Technical Solutions would like to thank you for the interest you have demonstrated in this opportunity. However, only candidates with the required skills will be contacted.
Tundra Technical Solutions is an Equal Opportunity/Affirmative Action Employer. We welcome and encourage diversity in our workplace.
Not interested in this position, but know somebody who might be? Check out our Referral Reward Program, referrals are a big secret behind our success. As always, we’re on the lookout for great people. And we know that you know great people!
Tundra Technical Solutions is among North America’s leading providers of Information Technology and Engineering staffing and consulting services. Our success and our clients’ success are built on a foundation of service excellence. Rather than continually trying to sell to new clients and companies and simply filling databases with candidates, we focus on developing stronger relationships and deeper knowledge of our existing clients’ challenges and opportunities.
Open ears. Open minds. Open futures