BENGALURU · FULLTIME
DE&A - AIML - Machine Learning - Python Professional
Zensar Technologies
Bengaluru · onsite · Posted 27d ago
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Undisclosed3–5 yrsfulltimeBengaluru
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Section · 01
About this role
AI/ML Engineer
Role Overview Responsible for building prescriptive and generative AI components that translate model outputs into actionable business recommendations. Bridges the gap between data science outputs and production-ready business deliverables.
Experience Required: 3-5 years
Key Responsibilities
- Build prescriptive and optimisation engines using mathematical programming and heuristic solvers
- Design, develope and implement LLM solutions within secure enterprise infrastructure
- Engineer LLM prompts to generate plain-language business narratives and ranked recommendations
- Build automated report generation pipelines delivering structured outputs to business consumers
- Integrate ML model outputs with generative AI components for consistent and explainable end-to-end delivery
- Build rule-based trigger engines and exception management workflows
- Support A/B testing frameworks to compare AI-driven vs. baseline recommendations
- Design and implement impact analysis and counterfactual simulation capabilities
Required Skills
- 3-5 years of experience in AI/ML engineering, software engineering, or applied AI development
- Experience with mathematical optimisation ( PuLP , OR-Tools, linear programming)
- Proficiency in LLM prompt engineering and self-hosted or API-based model deployment
- Familiarity with LLM frameworks ( LangChain , Hugging Face, OpenAI API)
- Strong Python skills and experience building automated data and reporting pipelines
- Knowledge of NLP and generative AI techniques
- Experience with supply chain or inventory optimisation preferred
AI/ML Engineer
Role Overview Responsible for building prescriptive and generative AI components that translate model outputs into actionable business recommendations. Bridges the gap between data science outputs and production-ready business deliverables.
Experience Required: 3-5 years
Key Responsibilities
- Build prescriptive and optimisation engines using mathematical programming and heuristic solvers
- Design, develope and implement LLM solutions within secure enterprise infrastructure
- Engineer LLM prompts to generate plain-language business narratives and ranked recommendations
- Build automated report generation pipelines delivering structured outputs to business consumers
- Integrate ML model outputs with generative AI components for consistent and explainable end-to-end delivery
- Build rule-based trigger engines and exception management workflows
- Support A/B testing frameworks to compare AI-driven vs. baseline recommendations
- Design and implement impact analysis and counterfactual simulation capabilities
Required Skills
- 3-5 years of experience in AI/ML engineering, software engineering, or applied AI development
- Experience with mathematical optimisation ( PuLP , OR-Tools, linear programming)
- Proficiency in LLM prompt engineering and self-hosted or API-based model deployment
- Familiarity with LLM frameworks ( LangChain , Hugging Face, OpenAI API)
- Strong Python skills and experience building automated data and reporting pipelines
- Knowledge of NLP and generative AI techniques
- Experience with supply chain or inventory optimisation preferred
AI/ML Engineer
Role Overview Responsible for building prescriptive and generative AI components that translate model outputs into actionable business recommendations. Bridges the gap between data science outputs and production-ready business deliverables.
Experience Required: 3-5 years
Key Responsibilities
- Build prescriptive and optimisation engines using mathematical programming and heuristic solvers
- Design, develope and implement LLM solutions within secure enterprise infrastructure
- Engineer LLM prompts to generate plain-language business narratives and ranked recommendations
- Build automated report generation pipelines delivering structured outputs to business consumers
- Integrate ML model outputs with generative AI components for consistent and explainable end-to-end delivery
- Build rule-based trigger engines and exception management workflows
- Support A/B testing frameworks to compare AI-driven vs. baseline recommendations
- Design and implement impact analysis and counterfactual simulation capabilities
Required Skills
- 3-5 years of experience in AI/ML engineering, software engineering, or applied AI development
- Experience with mathematical optimisation ( PuLP , OR-Tools, linear programming)
- Proficiency in LLM prompt engineering and self-hosted or API-based model deployment
- Familiarity with LLM frameworks ( LangChain , Hugging Face, OpenAI API)
- Strong Python skills and experience building automated data and reporting pipelines
- Knowledge of NLP and generative AI techniques
- Experience with supply chain or inventory optimisation preferred
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Model Deploymentlinear programmingai developmentml engineerNatural Language ProcessingProgrammingimpact analysisLarge Language Models (LLMs)OpenAI SDKdeploymentPythonSupply ChainSoftware EngineeringLangchainGenerative AiData ScienceArtificial IntelligenceMachine Learning
Section · Company
About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
About
Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.
Industries
IT Services & Consulting
Employee ratings
2,994 reviews
3.7/ 5
Culture
3.5
Career growth
3.0
Work-life
3.8
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