AI Engineer
What You Can Expect from Us:
We work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas a student of innovation and a leader of thought. Innovation and thought leadership is at the centre of everything we do at all levels of the company. Lets make your career great!
Position Overview:
We are seeking an experienced AI Engineer-Senior to lead the design and implementation of advanced AI-driven operational systems across multi-cloud and hybrid cloud environments. This role demands a blend of technical expertise innovation and leadership to develop scalable solutions for complex IT systems with a focus on automation machine learning and operational efficiency.
Roles and Responsibilities:
- Architect and design the AIOps solution leveraging AWS Azure and Cloud Agnostic services ensuring portability and scalability
- Develop an end-to-end automated machine learning (ML) pipeline from data ingestion DataOps model training to inference pipelines across multi-cloud environments
- Design hybrid architectures leveraging cloud-native services like Amazon SageMaker Azure Machine Learning and Kubernetes for development model deployment and orchestration
- Design and implement ChatOps integration allowing users to interface with the platform through Slack Microsoft Teams or similar communication platforms
- Leverage Jupyter Notebooks in AWS SageMaker Azure Machine Learning Studio or cloud-agnostic environments to create model prototypes and experiment with datasets
- Lead the design of classification models and other ML models using AWS SageMaker training jobs Azure ML training jobs or open-source tools in a Kubernetes container
- Implement automated rule management systems using Python in containers deployed to AWS ECS/EKS Azure AKS or Kubernetes for cloud-agnostic solutions
- Architect the integration of ChatOps backend services using Python containers running in AWS ECS/EKS Azure AKS or Kubernetes for real-time interactions and updates
- Oversee the continuous deployment and retraining of models based on updated data and feedback loops ensuring models remain efficient and adaptive
- Design platform-agnostic solutions to ensure that the system can be ported across different cloud environments or run in hybrid clouds (on-premises and cloud)
Must Have Skills:
- 13 years of overall experience and 7 years of experience in AIOps Cloud Architecture or DevOps roles
- Hands-on experience with AWS services such as SageMaker S3 Glue Kinesis ECS EKS
- Hands-on experience working on the design development and deployment of contact centre solutions at scale
- Proficiency in container orchestration (e.g. Kubernetes) and experience with multi-cloud environments
- Experience with machine learning model training deployment and data management across cloud-native and cloud-agnostic environments
- Expertise in implementing ChatOps solutions using platforms like Microsoft Teams Slack and integrating them with AIOps automation
- Familiarity with data lake architectures data pipelines and inference pipelines using event-driven architectures
- Strong programming skills in Python for rule management automation and integration with cloud services
- Experience in Kafka Azure DevOps and AWS DevOps for CI/CD pipelines
Qualification:
- BE/ or equivalent degree in Computer Science or related field.
Location:
About Nomiso:
Nomiso is a product and services engineering company. We are a team of Software Engineers Architects Managers and Cloud Experts with expertise in Technology and Delivery Management.
Our mission is to Empower and Enhance the lives of our customers through efficient solutions for their complex business problems.
At Nomiso we encourage entrepreneurial spirit - to learn grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. Were in pursuit of colleagues who share similar passions are nimble and thrive when challenged. We offer a positive stimulating and fun environment with opportunities to grow a fast-paced approach to innovation and a place where your views are valued and encouraged.
We invite you to push your boundaries and join us in fulfilling your career aspirations!
We are an equal opportunity employer and are committed to diversity equity and inclusion. We do not discriminate on race religion color national origin gender sexual orientation age marital status veteran status disability status or any other protected characteristics.
AI EngineerWhat You Can Expect from Us:We work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas a student of innovation and a leader of thought. Innovation and thought leadership is at the centre of everything we do at all levels of ...
AI Engineer
What You Can Expect from Us:
We work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas a student of innovation and a leader of thought. Innovation and thought leadership is at the centre of everything we do at all levels of the company. Lets make your career great!
Position Overview:
We are seeking an experienced AI Engineer-Senior to lead the design and implementation of advanced AI-driven operational systems across multi-cloud and hybrid cloud environments. This role demands a blend of technical expertise innovation and leadership to develop scalable solutions for complex IT systems with a focus on automation machine learning and operational efficiency.
Roles and Responsibilities:
- Architect and design the AIOps solution leveraging AWS Azure and Cloud Agnostic services ensuring portability and scalability
- Develop an end-to-end automated machine learning (ML) pipeline from data ingestion DataOps model training to inference pipelines across multi-cloud environments
- Design hybrid architectures leveraging cloud-native services like Amazon SageMaker Azure Machine Learning and Kubernetes for development model deployment and orchestration
- Design and implement ChatOps integration allowing users to interface with the platform through Slack Microsoft Teams or similar communication platforms
- Leverage Jupyter Notebooks in AWS SageMaker Azure Machine Learning Studio or cloud-agnostic environments to create model prototypes and experiment with datasets
- Lead the design of classification models and other ML models using AWS SageMaker training jobs Azure ML training jobs or open-source tools in a Kubernetes container
- Implement automated rule management systems using Python in containers deployed to AWS ECS/EKS Azure AKS or Kubernetes for cloud-agnostic solutions
- Architect the integration of ChatOps backend services using Python containers running in AWS ECS/EKS Azure AKS or Kubernetes for real-time interactions and updates
- Oversee the continuous deployment and retraining of models based on updated data and feedback loops ensuring models remain efficient and adaptive
- Design platform-agnostic solutions to ensure that the system can be ported across different cloud environments or run in hybrid clouds (on-premises and cloud)
Must Have Skills:
- 13 years of overall experience and 7 years of experience in AIOps Cloud Architecture or DevOps roles
- Hands-on experience with AWS services such as SageMaker S3 Glue Kinesis ECS EKS
- Hands-on experience working on the design development and deployment of contact centre solutions at scale
- Proficiency in container orchestration (e.g. Kubernetes) and experience with multi-cloud environments
- Experience with machine learning model training deployment and data management across cloud-native and cloud-agnostic environments
- Expertise in implementing ChatOps solutions using platforms like Microsoft Teams Slack and integrating them with AIOps automation
- Familiarity with data lake architectures data pipelines and inference pipelines using event-driven architectures
- Strong programming skills in Python for rule management automation and integration with cloud services
- Experience in Kafka Azure DevOps and AWS DevOps for CI/CD pipelines
Qualification:
- BE/ or equivalent degree in Computer Science or related field.
Location:
About Nomiso:
Nomiso is a product and services engineering company. We are a team of Software Engineers Architects Managers and Cloud Experts with expertise in Technology and Delivery Management.
Our mission is to Empower and Enhance the lives of our customers through efficient solutions for their complex business problems.
At Nomiso we encourage entrepreneurial spirit - to learn grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. Were in pursuit of colleagues who share similar passions are nimble and thrive when challenged. We offer a positive stimulating and fun environment with opportunities to grow a fast-paced approach to innovation and a place where your views are valued and encouraged.
We invite you to push your boundaries and join us in fulfilling your career aspirations!
We are an equal opportunity employer and are committed to diversity equity and inclusion. We do not discriminate on race religion color national origin gender sexual orientation age marital status veteran status disability status or any other protected characteristics.
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