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Infosys

Global digital services and consulting provider

Data Scientist - GenAI, Consultant

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Strong Python or R skills, including pandas or NumPy and machine-learning libraries such as scikit-learn, with deep-learning frameworks such as TensorFlow or PyTorch.
  • Experience with large language model and retrieval-augmented generation toolchains such as LangChain, LlamaIndex, or Semantic Kernel, and vector search tools such as Pinecone, Weaviate, FAISS, or Azure AI Search.
  • Experience with generative AI platforms such as OpenAI API, Anthropic, Gemini, or Llama, or equivalent platforms.
  • Exposure to big data, distributed computing, and pipeline or feature engineering.
  • Knowledge of large language model safety and governance, including hallucination mitigation, grounded responses, and audit trails.
  • A degree in a quantitative field.
  • Hands-on exposure to building models and setting up machine-learning operations using tools such as Prometheus and Grafana.
  • Analytical, pragmatic problem-solving and outcome orientation.
  • Ability to work independently, prioritize, and manage multiple workstreams.
  • Ability to communicate clearly and simplify complex topics.
  • Collaborative approach, curiosity, and continuous learning.

Responsibilities

  • Design and deliver generative AI solutions, including large language model and retrieval-augmented generation components such as retrieval strategy, embeddings, vector stores, prompt flows, and grounding, for enterprise use cases.
  • Evaluate and improve solution quality using offline and online quality, latency, and cost metrics, iterating based on feedback.
  • Harden solutions for production using observability and monitoring, tracing, guardrails, safety controls, and reliability practices.
  • Build and integrate model endpoints into products and workflows through APIs and services, partnering with engineering through deployment.
  • Work across cloud platforms, including Azure, AWS, and Google Cloud Platform, integrating storage, compute, orchestration, and model or runtime components.
  • Assess data readiness for modeling and retrieval-augmented generation, including fitness, quality, and access, and define remediation requirements.
  • Collaborate in cross-functional data science, data engineering, engineering, and product squads, and contribute to reusable assets and ways of working.
  • Communicate trade-offs, evaluation results, risks, and adoption actions to stakeholders.
  • At more senior levels, own end-to-end workstream delivery, lead stakeholder conversations, and mentor others.
  • At the most senior levels, shape solution direction and quality standards, coach teams, and contribute to sales pursuits, bids, and accelerators.

Desired Qualifications

  • Hands-on experience with AWS Bedrock and SageMaker.
  • Cloud machine-learning experience with AWS, Google Cloud Platform, or Azure.
  • Strong SQL skills and experience with visualization tools such as Tableau, Power BI, or Python visualization libraries.
  • Specialization in natural language processing, computer vision, or time series.
  • Familiarity with NoSQL.
  • Quantitative or trading analytics engineering practices.
  • Time-series forecasting involving prices, demand, blend outcomes, or scheduling effects.
  • Optimization or simulation involving planning, blending, or logistics constraints.
  • Model risk controls, including bias and leakage checks, backtesting discipline, and monitoring for drift.
  • Continuous integration and continuous delivery, deployment, and monitoring; Docker or Kubernetes.
  • Experiment design and randomized trials.
  • A Master of Science degree; a PhD is a plus.

About the Company

Infosys

Global digital services and consulting provider

Infosys is a global provider of digital services and consulting. It helps organizations with software development, cloud solutions, data and analytics, automation, and AI-powered platforms to transform their technology and business operations. The company primarily delivers these capabilities through client projects, outsourcing, and managed services, rather than selling a single standalone product. Infosys differentiates itself by its long-standing global reach (present in over 50 countries) and its breadth of offerings, including a dedicated consulting arm and a business process outsourcing unit, which together cover strategy, design, development, and ongoing operations. Its goal is to guide clients through digital transformation and AI adoption at scale, helping them improve efficiency, agility, and competitiveness over the long term.

Company size
10,001+
Company stage
IPO
Headquarters
Bengaluru, India
Founded
1981

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