Senior DevOps Expert-AI/ML

Telenor
Full time Full day
Islamabad
Company



Telenor Pakistan


Islamabad 44000 , Pakistan





Category



IT





Type



Full Time









About the position






Last date to apply: 20th August, 2022



Division: Telenor GSS Pakistan


Position Title: Senior DevOps Executive -AI/ML


Reporting to: Automation Hub Squad Lead


Job Group: 1B/2A


Location: Islamabad


Department: Business Application


Unit: Automation Hub



Why should you join Telenor


At Telenor, we give you the opportunity to become a skilled professional in your chosen field of interest. Being rated as the top employer of the country, we enable you to realize your dreams in an environment of diversity and openness to new mindsets.



Position Related


We are looking for an enthusiastic expert to join our Automation Squad with the focus of providing new solutions and uplifting existing utilizing artificial intelligence or machine learning or by the means of software robotics. You will innovate new solutions and ways of working together with Telenor GSS functions. Finding new solutions to fit business needs is natural to you and you understand the possibilities to utilize new technologies.


The ideal candidate will help us extract value from our data, leading all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production and is passionate about artificial intelligence and stay up-to-date with the latest developments in the field.



Goals



  • Understanding and identifying the targets for AI and machine learning solutions

  • Detailed technical understanding and know-how of AI & ML models and software robotics (including Azure ML and AI, H2O, UiPath etc;)

  • Service management of own area

  • Tools and techniques to enable AI for Ops (ELK, etc;)

  • Implementing MLOps for all solutions

  • Understanding of business processes in the scope of utilizing technologies and process automation

  • Participating in larger projects as well as in smaller enhancement projects

  • Participating in life cycle management of relevant solutions and services

  • Utilizing external resources and networks efficiently

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

  • Verifying data quality, and/or ensuring it via data cleaning

  • Supervising the data acquisition process if more data is needed

  • Finding available datasets online that could be used for training

  • Defining validation strategies

  • Defining the preprocessing or feature engineering to be done on a given dataset

  • Defining data augmentation pipelines

  • Training models and tuning their hyperparameters

  • Analyzing the errors of the model and designing strategies to overcome them

  • Deploying models to production

  • Understanding of Chatbots (e.g Rasa) and cognitive agents

  • Deep understanding of Natural Language Generation



Eligibility Criteria


Education: Bachelor/Masters in Computer Science, IT, Deep Learning or relevant.


Experience in AI/ML frameworks, NLP, AI for Ops and MLOps


Experience / Skills



  • 2-5 years of relevant experience with automation in AI/ML framework

  • Proficiency with a deep learning framework such as TensorFlow, Keras

  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas

  • Proficiency in scripting

  • Expertise in visualizing and manipulating big datasets

  • Proficiency with OpenCV

  • Familiarity with Linux

  • Ability to select hardware to run an ML model with the required latency



Required expertise:



  • Experience in working with AI and ML or software robotics

  • Broad understanding of what brings value to the business

  • Ability to find the worst part of a process to get the best automation results

  • Curiosity to AI and ML to realize their potential in different business needs

  • Enthusiasm and being results oriented

  • Efficient prioritization skills and the ability to utilize external resources

  • Team player














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