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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.
Requis obligatoire
What you bring to the table :
Bachelor’s in computer engineering, computer science or software engineering, with a minimum of 5 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.
Min req :
Bachelor’s in computer engineering, computer science or software engineering (from a reputed university)
Minimum of 3 years of significant experience in development of enterprise grade software solutions
Exigences minimum / Minimum requirements :
Bachelor’s in computer engineering, computer science or software engineering (from a reputed university)
Minimum of 3 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
Technologies
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.