Blend360
Marketing And Advertising
SeniorAIArchitectGenAI&RecommendationSystems
“Senior AI Architect - GenAI & Recommendation Systems at Blend360. Skills: AI Architect, GenAI, Recommendation Systems, Transformer architecture. Own AI model development lifecycle. Set technical strategy”
What You'll Achieve.
Ensure cutting-edge machine learning solutions move from concept to production with business impact at their core; Ensure domain-specific performance; Ensure statistical rigor; Ensure compliance with client and regulatory requirements
Industry & Context.
Translate ambiguous business problems into well-scoped AI initiatives
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a closely related quantitative, 10+ years of progressive experience in data science and machine learning, at least 3–5 years in a people management or technical leadership role, Proven track record of leading high-performing AI/ML engineering teams, Deep, hands-on expertise designing and training custom transformer architectures from scratch, applied data science foundation: feature engineering, statistical modeling, causal inference, and experimental design across large-scale datasets, Proficiency in Python, core ML/DL libraries: PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, XGBoost/LightGBM, Direct experience with industry datasets in marketing & media OR telecommunications, Command of SQL, large-scale data platforms: Spark, BigQuery, Snowflake, or Databricks, Experience owning end-to-end MLOps: cloud deployment (SageMaker, Vertex AI, or Azure ML), monitoring, CI/CD for ML, and model governance, Exceptional executive communication skills
Nice to Have
Ph. D. strongly preferred, Professional services experience, Background in privacy-preserving ML: federated learning, differential privacy, or synthetic data generation, Knowledge of graph neural networks (GNNs), Published research or conference contributions, Experience with real-time inference and streaming ML pipelines, Demonstrated ability to build strategic partnerships with external clients, Deep experience with openai focused on embeddings, Experience building custom transformer models
What You'll Do.
Own AI model development lifecycle
Set technical strategy
Move ML solutions from concept to production
Establish engineering best practices
Define technical investments
Mentor AI/ML engineers
Manage AI/ML engineers
Set performance expectations
Partner with cross-functional leaders
Prioritize initiatives
Measure organizational impact
Establish engineering standards
Establish code review practices
Establish model governance frameworks
Design and develop custom transformer models
Drive innovation in attention mechanisms
Oversee adaptation and fine-tuning of foundation models
Champion reproducible experimentation
Oversee end-to-end data science workflows
Ensure statistical rigor
Guide team in building data pipelines
Lead technical discovery
Solutioning with enterprise clients
Translate business problems into AI initiatives
Present model results
Present roadmap updates
Contribute to business development
Support RFP responses
Lead technical portions of proposals
Grow AI engineering practice
Establish production standards for model deployment
Establish model monitoring standards
Establish drift detection standards
Establish automated retraining standards
Drive adoption of MLOps best practices
Implement model governance
Implement explainability
Implement responsible AI standards
How You'll Work.
Team & Collaboration
Partner with cross-functional leaders; Work with product team
Communication Scope
Exceptional executive communication skills; Translate complex model behavior into business language
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