Hands-on knowledge in machine learning, deep learning, TensorFlow, NLP, pytorch

Must have Python, SQL very strong in coding.

Expertise in REST API development, NoSQL design, RDBMS design

Should be familiar by integrating AI/ML Model services with application & tools

Deep hands-on experience with key GCP services including,  Compute engine, Cloud functions, Cloud App Engine, Cloud Run

Should be capable of analyzing structure & unstructured data

Proficiency with Infrastructure as Code (IaC) technologies like Terraform and CloudFormation.

Must have API, microservice and public cloud experience is an advantage

Experience in PRPC or Pega Robotics

DevOps and Security guard rails is an advantage.

Good to have cloud services experience

Understanding of functional design principles, object-oriented programming principles, basic algorithms

Develop automation design and structure automation packaging

Develop machine learning models & algorithms 

Select appropriate datasets and data representation methods

Develop machine learning app & component in alignment with project requirements and business goals

Create training model as a product like Prediction,“Log Analyzer”, “Classifications – text/email”

Build scalable machine learning pipelines and deploy AI solution.

Implement and maintain MLOps practices for continuous integration/delivery (CI/CD), monitoring, and alerting of models.

Create containerization and orchestration using Docker

Lead design discussions and mentor junior and mid-level engineers on cloud architecture principles and GCP technologies.

Train systems and retrain as necessary

Develop and perform machine learning tests cases/suits

Develop Case managers and NLP solutions using Pega and explore open source tools. 

Should have technology exposure python, Java, PRPC, Pega Robotics, SQL. 

Participate in reviews to ensure all requirements are met through design, build and implementation phases

Manage and direct research and development processes to meet the needs of our AI strategy

Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions

Advise leaders on technology, strategy, and policy issues related to AI/ML

Certification over AI/ML is an advantage

• Python
• AI/ML spec
• Prompt Engineering

Certification over GCP is an advantage

• Associate 

• Architect

   

Hands-on knowledge in machine learning, deep learning, TensorFlow, NLP, pytorch

Must have Python, SQL very strong in coding.

Expertise in REST API development, NoSQL design, RDBMS design

Should be familiar by integrating AI/ML Model services with application & tools

Deep hands-on experience with key GCP services including,  Compute engine, Cloud functions, Cloud App Engine, Cloud Run

Should be capable of analyzing structure & unstructured data

Proficiency with Infrastructure as Code (IaC) technologies like Terraform and CloudFormation.

Must have API, microservice and public cloud experience is an advantage

Experience in PRPC or Pega Robotics

DevOps and Security guard rails is an advantage.

Good to have cloud services experience

Understanding of functional design principles, object-oriented programming principles, basic algorithms

Should have experience with a deep learning framework such as TensorFlow , Keras & NLP

Proficiency writing code in Python, Java / .Net

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

Knowledge in Text mining & classification -11

Knowledge to create code to perform log analyser and create structured data

Experience in Image Processing & Classification using OCR Model or CNN LSTM 

Ability to use different text classification technics  ex. Naive Bayes Classifier/Sentiment Classification

Ability to use various ML algorithm supported by MLlib

Expertise in visualising and manipulating datasets

Proficiency with OpenCV

Experience in REST API development, and RDBMS design and optimisations

Knowledge of basic algorithms and object-oriented and functional design principles

Knowledge of data structures, data modelling, and software architecture

Knowledge of math, probability, statistics, and algorithms

Familiarity with Linux

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

Develop descriptive programing for automation to develop complicated solutions. 

Experience with Iterative software development practices, agile practices and successful teamwork and production deployments in high volume environment 

Ability and willingness to work in fast paced and dynamic environment 

Bachelor Degree in Computer Information Systems or related field