{"id":3357287,"url":"https://alion.io/job/ellkay-staff-machine-learning-engineer","title":"Staff Machine Learning 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":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":73000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":8,"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 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":"2026-10-27T17:29:56Z","employer_posted_date":null,"last_verified_at":"2026-10-27T17:29:56Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY's solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.\n\nToday, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today's data-rich world.\n\nELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.\n\nJob Description\n\nWe'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 organizations.\n\nEssential Duties & Responsibilities\n\n AI/ML Engineering \n\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 optimize 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 optimizing 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\n Healthcare Data & Standards \n\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 normalization\nEnsure HIPAA compliance and implement appropriate security controls for protected health information (PHI)\n\n Backend & Infrastructure \n\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 optimization\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\n Observability & Security \n\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\n Evaluation & Quality \n\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\nQualifications\n\n Technical Skills \n\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 optimization\nMachine Learning: Experience with scikit-learn, clustering algorithms, and confidence calibration techniques\nHealthcare Standards (preferable) : 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\n\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\n\nStrong problem-solving abilities and attention to detail\nExcellent communication skills for collaborating with cross-functional teams\nSelf-motivated with ability to work independently and drive projects to completion\nCommitment to code quality, testing, and engineering best practices\n\nPreferred Qualifications\n\nExperience with Amazon Bedrock and Claude family models\nFamiliarity with HIPAA compliance requirements and healthcare security standards\nContributions to open-source ML or healthcare interoperability projects\nDegree in Computer Science, Machine Learning, or related field\n\nAdditional Information\n\nELLKAY is committed to fostering a collaborative and high-performance work environment that supports innovation, teamwork, and professional growth. Most roles are designed to operate from our office locations to encourage effective collaboration and engagement across teams.\n\nAny alternative work arrangements may be considered at the company's discretion based on role requirements and business needs.\n\nFor more information about our company, please visit www.ELLKAY.com .\n\nELLKAY is a Smoke-Free Workplace.\n\nELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.","description_format":"text","description_chars":6883,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical AI","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-27T20:10:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":40,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/ellkay-staff-machine-learning-engineer","json_url":"https://alion.io/job/ellkay-staff-machine-learning-engineer.json","meta":{"generated_at":"2026-10-30T08:51:54Z","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":12712,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-staff-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-staff-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-staff-machine-learning-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-staff-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fellkay-staff-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3357287}},{"tool":"search_jobs","arguments":{"company":"ellkay.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3357287},"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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