{"id":4244360,"url":"https://alion.io/job/zimmer-biomet-nlp-engineer","title":"NLP Engineer","company":{"id":9247,"name":"Zimmer Biomet","domain":"zimmerbiomet.com","url":"https://alion.io/company/zimmer-biomet","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"spaCy","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-11-13T12:21:18Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:29:14Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.What You Can Expect\nPosition Summary\nZimmer Biomet runs on text. Regulatory submissions, clinical evaluation reports, complaint records, quality documentation, surgical technique guides, contracts, and support tickets all hold information that people currently find by reading. The Enterprise AI team builds the systems that read it for them.\nThe NLP Engineer designs, builds, and ships those systems. You will work across the full range of the discipline: retrieval and generation pipelines built on large language models, structured extraction from long and messy documents, and the classical modelling and evaluation work that tells you whether any of it is actually correct. This is a delivery role. You will own use cases from problem framing through to a service running in production with measured quality.\nScope and Impact\nYou will take business problems posed in natural language and turn them into working systems. A quality engineer who spends two days a month collating complaint themes, a regulatory writer reconciling a submission against source evidence, a commercial team searching thousands of technique guides: each is a use case you will scope, prototype, evaluate, and deliver.\nThe work is high leverage and highly visible. Enterprise AI serves every function and region at Zimmer Biomet, so a pipeline you build for one business unit is frequently generalised across several. Because we operate in a regulated industry, correctness matters more than novelty. You will be expected to prove that what you build works, to know where it fails, and to say so clearly.\nMode of Work: 2 days WFH,3 WFO\nLocation: Bangalore\nHow You'll Create Impact\nKey Responsibilities\nLLM and Generative AI Engineering\nDesign and build retrieval augmented generation pipelines, including chunking strategy, embedding selection, vector storage, retrieval tuning, and reranking. \nDevelop and maintain prompt and context engineering for production use cases, treating prompts as versioned, tested artefacts rather than ad hoc text. \nBuild agent and tool-calling workflows where a single model call is insufficient, including task decomposition, tool integration, and failure handling. \nBuild evaluation harnesses for generative systems, covering groundedness, factual accuracy, hallucination rate, refusal behaviour, latency, and cost per request. \nWork with Azure OpenAI and other approved model providers, selecting models appropriate to each task and balancing quality against cost and latency. \nDocument and Text Extraction\nBuild extraction pipelines that turn long, unstructured, and inconsistently formatted documents into reliable structured data. \nImplement named entity recognition, classification, summarisation, and relation extraction against domain-specific text such as clinical, regulatory, quality, and commercial content. \nHandle real-world document conditions including scanned PDFs, OCR output, tables, multi-column layouts, and inconsistent templates. \nDefine and measure extraction quality with precision, recall, and error analysis on a held-out set, and drive quality up through targeted iteration rather than guesswork. \nBuild human-in-the-loop review steps where the confidence threshold or the regulatory context requires them. \nModelling and Evaluation\nSelect, fine-tune, and evaluate language models and embedding models against clearly defined success criteria for each use case. \nBuild and maintain semantic search and similarity capability, including embedding strategy and index management. \nCreate and curate labelled datasets, including annotation guidelines and inter-annotator agreement where the task warrants it. \nEstablish baselines before reaching for complexity, and demonstrate that added complexity earns its place. \nConduct error analysis on production systems and feed findings back into the pipeline, the prompt, the model choice, or the data. \nEngineering and Delivery\nWrite production-quality Python: tested, reviewed, documented, and maintainable by someone other than you. \nDeploy NLP services on Azure and support them in production, working with platform engineers on packaging, CI/CD, and observability. \nMonitor deployed systems for quality drift, cost, and latency, and act on what the monitoring shows. \nHandle sensitive data correctly, applying Zimmer Biomet policies for data privacy, information security, and responsible AI, and flagging use cases that may carry regulatory or validation obligations. \nDocument design decisions, evaluation results, and known limitations so that the work can be reviewed, audited, and built on. \nCollaborate with business stakeholders to frame problems, agree success criteria, and manage expectations on what is and is not achievable. \nWhat Makes You Stand Out\nRequired Technical Skills\nStrong Python, including the scientific and NLP ecosystem such as PyTorch or TensorFlow, Hugging Face Transformers, spaCy, scikit-learn, and pandas. \nPractical command of LLM application frameworks and patterns, for example LangChain, LlamaIndex, or equivalent. \nExperience with vector databases and embedding-based retrieval, for example Azure AI Search, FAISS, pgvector, or Pinecone. \nSolid understanding of transformer architectures, tokenisation, embeddings, fine-tuning approaches, and their practical trade-offs. \nSQL and comfort working with data at scale. \nSoftware engineering fundamentals: version control with Git, automated testing, code review, and CI/CD. \nCloud experience, ideally Microsoft Azure, including deploying and running a service rather than only notebook-based development. \nAttributes\nRigorous about measurement, and willing to report a negative result rather than a flattering demo. \nPragmatic about complexity, favouring the simplest approach that meets the requirement. \nExcellent written and verbal English communication, with the ability to explain model behaviour and its limits to a non-technical audience. \nAble to work independently across time zones with distributed stakeholders and to manage several use cases in parallel. \nPreferred\nExperience in a regulated industry such as medical devices, pharmaceuticals, or healthcare, and familiarity with the documentation expectations that come with it. \nExperience with clinical, regulatory, or quality text, or with standards and terminologies such as SNOMED, MedDRA, or ICD. \nExperience with document AI and OCR tooling such as Azure Document Intelligence. \nExperience with MLOps practice including model registries, experiment tracking, and automated retraining or re-evaluation. \nFamiliarity with responsible AI practice, including bias evaluation, model cards, and AI governance frameworks. \nContributions to open source NLP tooling, publications, or comparable public technical work. \nExperience in a Global Capability Center supporting global business functions. \nYour Background\nQualifications\nEducation\nBachelor’s or Master’s degree in computer science, computational linguistics, data science, engineering, mathematics, or a related field, or equivalent practical experience. \nRequired Experience\nThree to five years building natural language processing or machine learning systems, including at least one that reached production and real users. \nDemonstrable experience building applications on large language models, including retrieval augmented generation and prompt engineering for production workloads. \nExperience extracting structured information from unstructured documents at scale. \nExperience defining evaluation criteria and measuring model or pipeline quality quantitatively, not by inspection alone. \nExperience working directly with non-technical stakeholders to turn an ambiguous business problem into a defined technical scope. \nWorking Relationships\nThis role reports to the Director of AI within the Enterprise AI function. It works closely with AI platform and data engineers on infrastructure and deployment, with information security and privacy teams on data handling, with quality and regulatory colleagues on validation expectations, and directly with business stakeholders across all regions who own the use cases.\nPhysical Requirements\nTravel Expectations\nEOE/M/F/Vet/Disability","description_format":"text","description_chars":8935,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Surgical Instruments & Devices","Orthopedic & Spine Implants"],"lifecycle":[{"event":"open","at":"2026-11-13T12:21:18Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":26,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-13T13:19:59Z"},"pay":null,"html_url":"https://alion.io/job/zimmer-biomet-nlp-engineer","json_url":"https://alion.io/job/zimmer-biomet-nlp-engineer.json","meta":{"generated_at":"2026-11-13T13:19:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26739,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":9247},"rest":"https://alion.io/mcp/rest/get_company?id=9247"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzimmer-biomet-nlp-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzimmer-biomet-nlp-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzimmer-biomet-nlp-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zimmer-biomet-nlp-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzimmer-biomet-nlp-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4244360}},{"tool":"search_jobs","arguments":{"company":"zimmerbiomet.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4244360},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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