{"id":4275142,"url":"https://alion.io/job/ellkay-sr-ml-engineer","title":"Sr. ML Engineer","company":{"id":2197825,"name":"ELLKAY","domain":"ellkay.com","url":"https://alion.io/company/ellkay","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Boto3","optional":false},{"name":"Claude","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"FHIR","optional":false},{"name":"Hallucination","optional":false},{"name":"HIPAA","optional":false},{"name":"HL7","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"OWASP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-13T18:35:45Z","employer_posted_date":null,"last_verified_at":"2026-11-13T18:35:45Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We're looking for a versatile Full Stack AI/ML Engineer who can architect, build, and deploy production-grade AI/ML systems on AWS infrastructure. This role combines deep expertise in foundation models, healthcare data standards, and serverless cloud architecture to create scalable, secure, and compliant AI solutions for healthcare organisations.\n\nThe candidate will have responsibilities across the following functions: \n\nAI/ML Engineering: \nDesign and implement production foundation model applications using prompt engineering techniques, including structured output design, few-shot learning, function-calling patterns, and hallucination mitigation strategies.\nBuild and optimise vector search solutions using OpenSearch Serverless with k-NN, including HNSW/IVF parameter tuning, hybrid retrieval (lexical + semantic), and multi-stage ranking pipelines (BM25 + dense + re-ranking).\nDevelop and deploy Amazon Bedrock solutions leveraging Claude family models, Titan Embeddings v2, and Guardrails for PHI/PII detection while optimising for provisioned vs on-demand throughput.\nImplement classical ML pipelines including clustering algorithms (HDBSCAN, k-means), confidence score calibration (Platt scaling, isotonic regression), and model evaluation frameworks.\n\nHealthcare Data and Standards: \nDesign and implement systems that work with FHIR R4 resources, HL7 v2 message structures, and USCDI data elements.\nBuild ontology retrieval systems against LOINC, SNOMED, and RxNorm terminologies to support clinical decision-making and data normalisation.\nEnsure HIPAA compliance and implement appropriate security controls for protected health information (PHI).\n\nBackend and Infrastructure: \nBuild high-performance APIs using FastAPI and Pydantic v2 with async I/O patterns, robust retry/backoff mechanisms, and structured error handling.\nDesign and deploy AWS serverless architectures including Lambda (Python + container), API Gateway (REST + HTTP), Step Functions, EventBridge, SQS, and SNS.\nImplement container-based workloads on ECS Fargate with auto-scaling policies, service discovery, and Fargate Spot optimisation.\nArchitect data solutions using Aurora PostgreSQL Serverless v2, DynamoDB, and S3 with appropriate indexing, partitioning, caching, and lifecycle policies.\nWrite production-grade Infrastructure as Code using AWS CDK (TypeScript or Python) supporting multi-tenant provisioning and cross-account deployments.\n\nObservability and Security: \nImplement comprehensive observability using AWS X-Ray distributed tracing, CloudWatch metrics/logs/alarms, structured JSON logging, and correlation ID propagation.\nApply security engineering best practices including IAM least-privilege roles, KMS envelope encryption, Secrets Manager rotation, JWT validation, tenant isolation via session tags, and OWASP API Top-10 awareness.\n\nEvaluation and Quality: \nDesign rigorous evaluation frameworks including benchmark creation, per-class F1/precision/recall metrics, held-out test sets, label leakage prevention, and statistical significance testing for model comparisons.\nImplement prompt versioning and A/B testing frameworks to continuously improve model performance.\n\nRequirements: \nPython Stack: Proficiency with pydantic v2, pandas/polars, FastAPI, boto3, asyncio, and prompt-template libraries.\nFoundation Models: Hands-on experience with prompt engineering, structured output generation, and evaluation harnesses for LLMs.\nAWS Services: Production experience with Lambda, API Gateway, Step Functions, EventBridge, SQS, SNS, ECS Fargate, Aurora PostgreSQL, DynamoDB, S3, and AWS CDK.\nVector Search: Practical knowledge of OpenSearch Serverless, k-NN algorithms, hybrid retrieval, and ranking optimisation.\nMachine Learning: Experience with scikit-learn, clustering algorithms, and confidence calibration techniques.\nHealthcare Standards (preferred): Working knowledge of FHIR R4, HL7 v2, USCDI, LOINC, SNOMED, and RxNorm.\nSecurity: Strong understanding of IAM, KMS, secrets management, and OWASP security principles.\n\nExperience: \n8+ years of software engineering experience with at least 3 years focused on AI/ML systems.\nProven track record of deploying production ML systems at scale.\nExperience with healthcare data or regulated industries strongly preferred.\nDemonstrated ability to design and implement end-to-end ML evaluation frameworks.\n\nSoft Skills: \nStrong problem-solving abilities and attention to detail.\nExcellent communication skills for collaborating with cross-functional teams.\nSelf-motivated with the ability to work independently and drive projects to completion.\nCommitment to code quality, testing, and engineering best practices.\nSkills\nAWS, Amazon Web Services, LLM, ML, Machine Learning, Python","description_format":"text","description_chars":4731,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical AI"],"lifecycle":[{"event":"open","at":"2026-11-13T18:35:45Z"}],"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":36,"reasons":["seen:0","win:early"],"computed_at":"2026-11-13T20:26:58Z"},"pay":null,"html_url":"https://alion.io/job/ellkay-sr-ml-engineer","json_url":"https://alion.io/job/ellkay-sr-ml-engineer.json","meta":{"generated_at":"2026-11-13T20:26:58Z","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":40766,"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":2197825},"rest":"https://alion.io/mcp/rest/get_company?id=2197825"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fellkay-sr-ml-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%2Fellkay-sr-ml-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%2Fellkay-sr-ml-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/ellkay-sr-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fellkay-sr-ml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4275142}},{"tool":"search_jobs","arguments":{"company":"ellkay.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4275142},"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. Docs: https://alion.io/developers"}}