Black Box

1 year ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Develop and deploy AI/ML solutions, including predictive models and generative AI (GPT, BERT, DALL-E) with Retrieval-Augmented Generation (RAG). Build and optimize models for NLP, dialogue management, knowledge retrieval, NER, intent classification, recommendations, and QA. Own model training, testing, deployment, and AIOps-driven lifecycle management, collaborating across data, UI/UX, full-stack, and QA teams.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and optimize predictive and generative AI/ML models, including fine-tuning and application to NLU, dialogue management, and knowledge retrieval.
•Implement Retrieval-Augmented Generation (RAG) and other GenAI approaches for chatbots, contextual understanding, and dynamic content generation.
•Build automated pipelines for model training, testing, and deployment, and monitor production model health using AIOps.
•Collaborate with Data Engineers on data pipelines and ETL, plus data validation and entity resolution for accurate retrieval.
•Integrate AI models with enterprise systems (e.g., SAP, ServiceNow) and partner with UI/UX, full-stack, and QA teams to ship robust solutions.

Key Requirements

•5+ years of experience in AI/ML engineering or data science.
•Build and fine-tune models using frameworks such as TensorFlow, PyTorch, and scikit-learn.
•Proficiency in Python and SQL, with experience using Azure (preferred), AWS, or Google Cloud for scalable AI/ML.
•Strong understanding of NLP, computer vision, and generative AI, plus advanced ML techniques.
•Experience with dialogue management, NER/NLU, QA, OCR, knowledge retrieval, and integrating AI models with SAP or ServiceNow (or similar systems).

Experience:AI/ML engineeringData scienceGenerative AI

Certifications:Microsoft Certified: Azure AI EngineerAWS Certified Machine LearningGoogle Professional Machine Learning Engineer

Tech Stack:AI/MLGenerative AIRAGGPTBERTDALL-ETensorFlowPyTorchScikit-learnPythonSQLAzureAWSGoogle CloudNatural Language Processing (NLP)Computer VisionNLPAIOpsSAPServiceNow

Company Brief

Black Box

Provides technology infrastructure and managed IT services for enterprises, including network connectivity, data center solutions, collaboration/AV systems, and managed security and support services.

Industry: Professional Services

Headquarters: Pittsburgh, United States

Founded: 1976

Website

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Black Box

1 year ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and optimize predictive and generative AI/ML models, including fine-tuning and application to NLU, dialogue management, and knowledge retrieval.
•Implement Retrieval-Augmented Generation (RAG) and other GenAI approaches for chatbots, contextual understanding, and dynamic content generation.
•Build automated pipelines for model training, testing, and deployment, and monitor production model health using AIOps.
•Collaborate with Data Engineers on data pipelines and ETL, plus data validation and entity resolution for accurate retrieval.
•Integrate AI models with enterprise systems (e.g., SAP, ServiceNow) and partner with UI/UX, full-stack, and QA teams to ship robust solutions.

Key Requirements

•5+ years of experience in AI/ML engineering or data science.
•Build and fine-tune models using frameworks such as TensorFlow, PyTorch, and scikit-learn.
•Proficiency in Python and SQL, with experience using Azure (preferred), AWS, or Google Cloud for scalable AI/ML.
•Strong understanding of NLP, computer vision, and generative AI, plus advanced ML techniques.
•Experience with dialogue management, NER/NLU, QA, OCR, knowledge retrieval, and integrating AI models with SAP or ServiceNow (or similar systems).

Experience:AI/ML engineeringData scienceGenerative AI

Certifications:Microsoft Certified: Azure AI EngineerAWS Certified Machine LearningGoogle Professional Machine Learning Engineer

Tech Stack:AI/MLGenerative AIRAGGPTBERTDALL-ETensorFlowPyTorchScikit-learnPythonSQLAzureAWSGoogle CloudNatural Language Processing (NLP)Computer VisionNLPAIOpsSAPServiceNow

Company Brief

Black Box

Provides technology infrastructure and managed IT services for enterprises, including network connectivity, data center solutions, collaboration/AV systems, and managed security and support services.

Industry: Professional Services

Headquarters: Pittsburgh, United States

Founded: 1976

Website