AI-ML Architect/Head

4 weeks ago

Bangalore, India HIC Global Solutions Full time

Job Description :


1. Should lead the end-to-end architecture and development of Artificial Intelligence and Machine learning solutions.


2. Responsible for understanding and implementing Deep Learning models for AI-ML solutions, meeting development schedules and ensuring the delivered solution meets the technical specifications


3. Should Plan, architect, design, develop, test and maintain key software enhancements, especially related to machine learning capabilities.


4. Responsible for architecting the AI-ML models and how they are used in a production environment.


5. Drive architecture and design decisions for the product and platform focusing on the machine learning flow.


6. Implement test cases to automate testing of frontend and backend code.


7. Create proof-of-concept technology demonstrations.


8. Industry experience in predictive modeling, data science, and experience analysing terabyte-size datasets.


9. Previous experience in a ML or data scientist role and a track record of building ML or DL models and experience.


10. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.


11. Consulting experience and track record of helping customers with their AI needs.


12. Experience with imperative programming languages such as Java or C/C++.


13. Experience working with one or more Machine Learning and/or Deep Learning frameworks such as Spark ML, TensorFlow, PyTorch, Caffe, Scikit-learn, etc.


14. Experience in implementing and deploying AI\ Machine Learning solutions (using various models, such as CNN, RNN, Fuzzy logic, Q learning, SVM, Ensemble, Logistic Regression, Random Forest etc.).


15. Research, analyze, recommend and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications.


16. Experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning.


17. Advanced AI ML techniques : Random Forest, Boosting Algorithm, Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. sentiment analysis, Topic Modeling), Natural Language Generation


Qualification :


- 3+ years of design, implementation, or consulting experience in applications or infrastructures.


- 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).


- 4+ years of experience in architecting production-quality AI applications.


- Experience with AWS technologies such as Amazon SageMaker, Amazon Redshift, Amazon S3, Amazon EC2, AWS Data Pipeline, and Amazon EMR.


- Strong knowledge in Python programming.


- Experience working with cloud computing and database systems.


- Experience building custom integrations between cloud-based systems using APIs.


- Experience developing and maintaining ML systems built with open source tools.


- Experience developing with containers and Kubernetes in cloud computing environments.


- Experience in Edge Cloud/Edge Computing is preferable.


- Bachelors and/or Advanced Degree in any Specialization.


- A PGP or Masters in Computer Science/Data Science from any reputed university is must.

(ref:hirist.tech)

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