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    Job · 22289027

    Replicon Software logo

    AI Data Scientist

    Replicon Software · Bengaluru · onsite · Posted 3d ago

    Undisclosed6–8 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    We are seeking a motivated AI Data Scientist to join Deltek s growing AI Center of Excellence team to design, build, evaluate, and optimize enterprise AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), multimodal AI, open-source AI models, and emerging foundation model technologies.
    This role is focused exclusively on AI innovation and implementation rather than traditional analytics or reporting. The ideal candidate will develop intelligent AI systems, evaluate model performance, build agentic workflows, and contribute to the adoption of AI-powered business solutions, working with guidance from senior team members on larger or more complex initiatives.
    The successful candidate combines solid expertise in Generative AI, machine learning, prompt engineering, and AI evaluation with a passion for translating cutting-edge AI capabilities into scalable business outcomes. This role reports to the Senior Director, AI Solutions.
    Key Responsibilities
    Generative AI Solution Development
    • Design, develop, and deploy Generative AI solutions for defined use cases, following established architecture patterns.
      • Build AI applications leveraging Large Language Models (LLMs) and SLMs.
        • Develop Retrieval-Augmented Generation (RAG) pipelines, including chunking, embedding, retrieval, and re-ranking.
          • Implement conversational AI, AI copilots, and intelligent assistants.
            • Design and refine prompt engineering strategies.
              • Contribute to multimodal AI solutions involving text, image, audio, and document understanding.
                Agentic AI Autonomous Systems
                • Develop AI Agents capable of reasoning and task execution for well-defined business workflows.
                  • Build components of multi-agent frameworks and agent orchestration solutions.
                    • Develop automated workflows integrating enterprise systems and business processes.
                      • Implement tool-calling, function-calling, and agent memory patterns.
                        • Tune agent planning, reasoning, and decision-making behavior based on test results and feedback.
                          AI Model Evaluation Optimization
                          • Apply and extend evaluation frameworks for AI solutions.
                            • Build benchmarks and test sets for quality, accuracy, groundedness, hallucination detection, and safety.
                              • Evaluate and compare foundation models for business use cases and share findings with the team.
                                • Improve AI system performance through prompt tuning, fine-tuning, and model optimization.
                                  • Monitor AI solution effectiveness and recommend enhancements.
                                    AI Engineering Deployment
                                    • Collaborate with engineering teams to deploy AI solutions into production environments.
                                      • Build AI pipelines and support inference architectures.
                                        • Support integration of AI services with enterprise applications and workflows.
                                          • Partner with platform teams to improve AI cost, latency, scalability, and performance.
                                            • Implement AI observability, monitoring, and governance controls as defined by the team.
                                              Responsible AI Governance
                                              • Apply Responsible AI principles throughout the AI lifecycle.
                                                • Evaluate solutions for bias, fairness, explainability, security, and compliance.
                                                  • Support AI governance policies, risk assessments, and model validation processes.
                                                    • Implement safeguards and guardrails for enterprise AI applications.
                                                      AI Innovation Research
                                                      • Stay current with advancements in Generative AI, foundation models, open-source AI, and agentic systems.
                                                        • Evaluate emerging AI technologies and share recommendations with the team.
                                                          • Create proof-of-concepts and pilot solutions using next-generation AI capabilities.
                                                            • Contribute to enterprise AI strategy and AI capability development. ","


    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

    Skills

    AI evaluationai strategyai servicesai modelsai modelai technologiesenterprise applicationsdata scientistai governanceAnalyticsConversational Aideploymentautonomous systemsArchitecturecomplianceAi SolutionsArtificial Intelligence

    About Replicon

    Replicon Software logo

    Replicon Software

    Software Product

    771

    employees

    1996

    30 years old

    Calgary, Alberta

    US

    ₹12.4L PA avg

    Avg at Replicon

    About

    Time management software to track time invested, expenses & attendance

    Industries

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    Employee ratings

    10 reviews

    3.7/ 5

    Culture

    3.8

    Career growth

    3.2

    Work-life

    4.3

    Employees rate it well for

    Work-Life Balance37Overall Company37

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