Artificial Intelligence
Artificial Intelligence
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Job Description
Job Title: AIML Engineer
Position: SE
Experience: 56 yrs
Category: IT Infrastructure
Main location: India Karnataka Bangalore
Primary SkillAI/ML
Employment Type: Full Time
Qualification: Bachelors degree in Computer Science or related field or higher.
Responsibilities
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt MLOps platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop learn and create is here. You will help support the creation of thoughtprovoking
solutions using the likes of Kubeflow/MLFlow and bring a good understanding of Kubernetes to deliver ML/AL at scale but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a selfstarter fastlearner and bring a high level of drive and tenacity but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below but you re the type of person who has the ability to get there quickly:
Candidate should be proactive problems solvers ready to learn on their own.
Proficiency in one or more modern programming languages mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of ScikitLearn Keras and TensorFlow
Demonstrable experience of Kubernetes Kubeflow/MLflow and ability to manage containerised workflows including performance monitoring and tuning and solid understanding of MLOps practices to drive production model reliability and efficiency.
Advanced knowledge of application data and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industrywide technology trends and best practices across Machine Learning Data Movement Security etc.
Ability to work in large collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis development maintenance and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
ML/AI libraries and algorithms
Python
Kubernetes Kubeflow/MLflow
MLOps practices
Cloud Knowledge
ScikitLearn Keras and TensorFlow
Candidate should be proactive Problems solvers ready to learn on their own
Good to have Skills
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database
Remote Work :
No
Employment Type
Full Time
