Job Description

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

B achelor Degree in Computer Information Systems or related field

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