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
Responsibilities
Responsibilities:
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
Primary Skills Required:
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
Experience Required:
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
Excellent interpersonal skills in handling both internal and external teams and business customers
Qualifications
B achelor Degree in Computer Information Systems or related field
