Offer summary

Qualifications:

10+ years of experience in AI architecture and ML solutions deployment., Strong knowledge of econometric and statistical methods such as Linear Regression and Time Series Analysis., Proficiency in Machine Learning and Deep Learning techniques, including Random Forest and CNNs., Experience with Cloud security and MLOps..

Key responsabilities:

Architect, design, and deploy Machine Learning solutions to drive business value.

Utilize various econometric and statistical methods for data analysis.

Implement advanced Machine Learning and Deep Learning techniques in NLP and CV domains.

Ensure successful deployment of ML solutions with measurable organizational impact.

Job description

Title: AI/ML Architect (Fulltime)

Location: Remote

Responsibilities:

Experienced AI Architect with 10+ years of experience in architecting, designing and deploying Machine Learning (ML) solutions to generate business value

Solid theoretical and practical knowledge of some or most

econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.

Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.

Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization

Generative AI techniques like RAG, Agentic Workflows, Graph RAG, Model Tuning etc

Extensive experience in Cloud security, MLOps

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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