{"id":1285304,"url":"https://alion.io/job/upcruit-aiml-platform-engineer","title":"AI/ML Platform Engineer","company":{"id":3800780,"name":"Upcruit","domain":"upcruit.ai","url":"https://alion.io/company/upcruit","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Chennai, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-17T07:06:09Z","employer_posted_date":null,"last_verified_at":"2026-08-17T07:06:09Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Role Overview :\n\nWe are seeking an AWS AI/ML & GenAI Platform Engineer to design, deploy, and operate scalable, secure, production-grade AI/ML and Generative AI platforms on AWS. The role focuses on MLOps, LLMOps, DevOps, AI observability, and platform engineering supporting lending, risk, and customer-facing solutions.\n\nKey Responsibilities :\n\n- Operate and monitor production ML, LLM, RAG, and agentic AI workloads on AWS.\n\n- Build end-to-end MLOps/LLMOps pipelines using SageMaker, Model Registry, CI/CD, and GenAI evaluation frameworks.\n\n- Deploy and manage Amazon Bedrock, LLMs, RAG pipelines, vector databases, and AI agents.\n\n- Design cloud infrastructure using Terraform/CloudFormation, Docker, Kubernetes, and Amazon EKS.\n\n- Build CI/CD pipelines using AWS CodePipeline, CodeBuild, GitHub Actions, and/or Jenkins.\n\n- Develop data and orchestration pipelines using AWS Glue, Lambda, Step Functions, S3, Redshift, and DynamoDB.\n\n- Implement monitoring and observability using CloudWatch, Prometheus, Grafana, and ELK.\n\n- Ensure AI platforms meet security, governance, Responsible AI, compliance, SLA/SLO, and reliability requirements.\n\n- Develop reusable MLOps/LLMOps frameworks and collaborate with Data Scientists, AI Architects, and Platform Engineers.\n\nRequired Skills & Experience :\n\n- Strong hands-on experience with AWS SageMaker and end-to-end ML lifecycle management.\n\n- Experience with Amazon Bedrock, LLMs, Foundation Models, Generative AI, RAG, and AI/agentic workflows.\n\n- Experience with MLOps/LLMOps, including ML pipelines, Model Registry, CI/CD, experiment tracking, prompt lifecycle management, and GenAI evaluation.\n\n- Strong knowledge of AWS services including S3, Lambda, API Gateway, OpenSearch, Glue, Step Functions, Redshift, and DynamoDB.\n\n- Hands-on experience with Docker, Kubernetes/EKS, Terraform, and/or CloudFormation.\n\n- Experience with AWS CodePipeline, CodeBuild, GitHub Actions, and/or Jenkins.\n\n- Strong Python and Bash/shell scripting skills; FastAPI preferred.\n\n- Experience building and integrating REST APIs and enterprise AI platforms.\n\n- Experience with CloudWatch, Prometheus, Grafana, and ELK for monitoring and observability.\n\n- Understanding of AI/ML observability, model monitoring, logging, alerting, SLAs/SLOs, and incident management.\n\n- Strong understanding of AWS IAM, KMS, Secrets Manager, security, data governance, privacy, and compliance.\n\n- Knowledge of Responsible AI, model governance, risk management, and AI security.\n\n- Experience designing scalable, highly available, resilient, secure, and cost-optimized AWS platforms.\n\n- Experience collaborating with AI Architects, Data Scientists, ML Engineers, and Platform/DevOps teams.\nSkills\nArtificial Intelligence, Machine Learning, Generative AI, AWS, MLOps, LLM, AWS SageMaker, Cloud Infrastructure, CI/CD Pipeline, AWS Bedrock, Prometheus","description_format":"text","description_chars":2857,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.606,"p_room":0.45,"age_days":44,"expected_fill_days":24,"reasons":["seen:44","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/upcruit-aiml-platform-engineer","json_url":"https://alion.io/job/upcruit-aiml-platform-engineer.json","meta":{"generated_at":"2026-10-01T11:22:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2976,"day_limit":5000,"remaining_today":2024,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}