Credence Global Solutions
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Panihati · On-site · 1-3 Yrs · Oct 1
Investment & Asset Management · Unknown · Dallas, US
Hiring: Engineering
What employees say
+ Good BPO with alot to learn
− No work life balance at all
More reviews on the company profile.
Interview experience · Power BI Developer
Easy interview, basics of SQL, Power BI Python and data analytics, General aptitude questions. Hobbies and your CV points will be schemed through. No special preperation required, just know SQL queries and your basic apt
Easy difficulty · Pune · 1 reports
More interview insightsJob description
Overview
We are seeking a Senior MLOps & LLM Ops Engineer to lead the design, deployment, and management of AI/ML and LLM pipelines, Agentic AI frameworks, and autonomous agent workflows in a US Healthcare Revenue Cycle Management (RCM) platform.
Qualifications
- Cloud & Infrastructure: AWS, Azure, GCP, Terraform, CloudFormation, VPC, IAM, Security Groups
- CI/CD & MLOps/LLM Ops: Jenkins, GitHub Actions, GitLab CI, ArgoCD, MLflow, Kubeflow, Airflow, Ansible, Docker, Kubernetes
- AI/GenAI/Agentic AI: LLMs, GenAI models, autonomous agents, multi-agent workflows, context/memory handling, AgentOps
- Data & Analytics: Snowflake, Spark, Hadoop, EMR, Redshift, ETL/ELT pipelines, real-time streaming
- RPA & Automation: UiPath, Automation Anywhere, agent-to-bot orchestration
- Microservices & Integration: REST APIs, .NET Core microservices, Kafka, RabbitMQ, event-driven architectures
- Compliance & Security: HIPAA, SOC 2, GDPR, role-based access, audit trails, secrets management
- Ability to design end-to-end AI/LLM pipelines with autonomous agent integration.
- Strong analytical and problem-solving skills for distributed, high-throughput AI systems.
- Excellent understanding of AI safety, explainability, and governance.
- High ownership, attention to detail, and strategic mindset for scalable AI infrastructure.
- Enable autonomous AI/LLM-driven operations across RCM workflows.
- Ensure scalable, compliant, and production-ready AI pipelines.
- Accelerate analytics, GenAI features, and agent-driven automation.
- Reduce deployment failures, operational overhead, and ensure audit readiness.
- Position the organization as a leader in autonomous, agentic AI platforms in healthcare.
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Job application FAQ
Last updated 20 October 2026
- How do I apply for MLOps + LLMOps Engineer at Credence Global Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Credence Global Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this MLOps + LLMOps Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is MLOps + LLMOps Engineer remote or on-site in Panihati, Kolkata, West Bengal?
- This listing is marked on_site with location Panihati, Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this MLOps + LLMOps Engineer role at Credence Global Solutions?
- This is a mid-level MLOps + LLMOps Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.