... MLOps, Infrastructure as Code , and automated deployment using Terraform, AWS CDK/CloudFormation, GitHub Actions, CodeBuild/CodePipeline, and ECR . * Develop unit, integration, contract, security ...
... MLOps, Infrastructure as Code , and automated deployment using Terraform, AWS CDK/CloudFormation, GitHub Actions, CodeBuild/CodePipeline, and ECR . * Develop unit, integration, contract, security ...
Data Scientist
Indianapolis, IN · On-site
$110 - $160/hr
Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted ... Familiarity with MLOps practices and model deployment/monitoring * Prior experience supporting ...
New
Data Scientist
Indianapolis, IN · On-site
$110 - $160/hr
Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted ... Familiarity with MLOps practices and model deployment/monitoring * Prior experience supporting ...
New
Mlops Contract information
What is an MLOps contract?
An MLOps contract refers to a temporary or project-based agreement for professionals who specialize in Machine Learning Operations (MLOps). MLOps combines machine learning, software engineering, and DevOps practices to streamline the deployment, monitoring, and management of machine learning models in production. These contracts typically require expertise in automation, CI/CD pipelines, cloud platforms, and model lifecycle management. Contractors are often hired to help organizations quickly implement or scale their machine learning infrastructure, ensuring models are reliable, scalable, and secure.
What are some common challenges faced by MLOps contractors when integrating machine learning models into existing production systems?
MLOps contractors often encounter challenges such as aligning model deployment processes with an organization's existing infrastructure and ensuring seamless collaboration between data science and engineering teams. They must navigate differences in technology stacks, manage versioning of models and datasets, and address issues related to scalability and monitoring in production environments. Effective communication and a thorough understanding of both machine learning workflows and DevOps practices are key to overcoming these hurdles and delivering reliable, maintainable solutions.
What are the key skills and qualifications needed to thrive as an MLOps contract professional, and why are they important?
To thrive as an MLOps Contract professional, you need solid experience in machine learning, software engineering, and cloud infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, Azure, or GCP, along with certifications like AWS Certified Machine Learning or Google Professional ML Engineer, is highly valuable. Strong problem-solving, communication, and collaboration skills help you deliver robust solutions and work effectively with cross-functional teams. These skills ensure efficient deployment, scalability, and maintenance of machine learning models in production environments.
What is the difference between Mlops Contract vs Data Engineer?
| Aspect | Mlops Contract | Data Engineer |
|---|---|---|
| Required Credentials | Certifications in cloud platforms, scripting, and ML tools | Degree in Computer Science or related field, SQL, Python skills |
| Work Environment | Project-based, contract roles in cloud and ML teams | Full-time or contract, data pipeline development in data teams |
| Employer & Industry Usage | Tech companies, startups, consulting firms | Large enterprises, finance, healthcare, tech |
| Search & Comparison Intent | Understanding contract roles in ML operations | Data pipeline and infrastructure roles |
While both roles involve working with data and cloud tools, Mlops Contract focuses on deploying and maintaining machine learning models in production environments on a contractual basis. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in skills like scripting and cloud familiarity but differ in scope and responsibilities.
Is MLOps in high demand?
MLOps roles are in high demand due to the increasing adoption of machine learning and AI across industries. Professionals with skills in cloud platforms, automation, and tools like Docker, Kubernetes, and CI/CD pipelines are particularly sought after. The field offers strong job growth prospects and competitive salaries for qualified candidates.
What are the most commonly searched types of Mlops jobs in Indiana?
The most popular types of Mlops jobs in Indiana are:
What are popular job titles related to Mlops Contract jobs in Indiana?
For Mlops Contract jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Mlops Contract jobs in Indiana look for?
The top searched job categories for Mlops Contract jobs in Indiana are:
What cities in Indiana are hiring for Mlops Contract jobs?
Cities in Indiana with the most Mlops Contract job openings:
AI/ML Engineer Generative AI, Agentic AI & AWS
Indianapolis, IN • On-site
Apexon •
IT Services • 5 - 10K employees5,001 - 10,000 employees
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 18 days ago
Job description
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
We enable #HumanFirstDIGITAL
Role Summary
We are looking for a hands-on AI/ML Engineer with strong experience in Python, Generative AI, Agentic AI, Machine Learning, and AWS to build and productionize enterprise AI solutions. The ideal candidate will have experience developing LLM/RAG applications, agentic workflows, ML pipelines, APIs, and cloud-native AI services.
Key Responsibilities
- Design, develop, test, deploy, and support end-to-end AI/ML solutions using Python and AWS.
- Build production-grade Python APIs, services, workers, data pipelines, and AI/LLM integrations using FastAPI, Pydantic, boto3, SQLAlchemy, pandas, NumPy, and scikit-learn.
- Develop RAG pipelines including document ingestion, parsing, chunking, metadata, embeddings, vector/hybrid search, reranking, retrieval, grounding, citations, and access-aware filtering.
- Build Agentic AI workflows with tools, state, memory, structured outputs, human-in-the-loop approvals, retries, error handling, and observability.
- Work with LangChain/LangGraph, CrewAI, AWS Strands Agents, or equivalent agent frameworks.
- Develop GenAI solutions using Amazon Bedrock, foundation models, Knowledge Bases, Agents/AgentCore, and Guardrails.
- Implement classical ML solutions using scikit-learn, PyTorch/TensorFlow, including training, evaluation, inference, monitoring, and model lifecycle management.
- Develop AI/ML evaluation frameworks covering golden datasets, prompt testing, retrieval evaluation, LLM evaluation, regression testing, and human review.
- Implement secure, scalable AWS solutions using SageMaker, Lambda, Step Functions, S3, OpenSearch, API Gateway, ECS/Fargate, EKS, EventBridge, SQS/SNS, RDS/Aurora, DynamoDB, and Glue.
- Implement IAM, KMS, Secrets Manager, VPC, encryption, CloudWatch, CloudTrail, logging, monitoring, and security controls.
- Support CI/CD, MLOps, Infrastructure as Code, and automated deployment using Terraform, AWS CDK/CloudFormation, GitHub Actions, CodeBuild/CodePipeline, and ECR.
- Develop unit, integration, contract, security, performance, and end-to-end tests using pytest.
- Optimize AI applications for latency, throughput, token consumption, cost, reliability, and scalability.
- Collaborate with architects, data engineers, QA, DevOps, security, and HCLS teams and mentor other engineers.
Required Skills
Must Have:
- Python
- FastAPI / REST APIs
- Generative AI / LLMs
- Prompt & Context Engineering
- RAG
- Embeddings / Vector & Hybrid Search
- Agentic AI / AI Agents
- LangChain / LangGraph / CrewAI / AWS Strands
- Amazon Bedrock
- Bedrock Knowledge Bases / Agents / Guardrails
- Amazon SageMaker
- AWS Lambda / Step Functions / S3 / OpenSearch / API Gateway
- SQL
- Pytest / Automated Testing
- Docker / Kubernetes
- Terraform / AWS CDK / CloudFormation
- CI/CD & MLOps
- IAM / KMS / Secrets Manager / CloudWatch
- Machine Learning fundamentals
- LLM/AI evaluation and observability
Preferred:
- Healthcare & Life Sciences experience
- HIPAA / PHI / PII security experience
- AWS AgentCore
- PyTorch / TensorFlow
- PostgreSQL / DynamoDB
- Event-driven architecture
- Responsible AI / AI security
- Human-in-the-loop AI systems
Ideal Candidate
A strong candidate should be hands-on and production-focused, with proven experience taking GenAI/ML solutions from design through coding, testing, AWS deployment, monitoring, and production support.
Our Commitment to Diversity & Inclusion:
Did you know that Apexon has been Certified by Great Place To Work , the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)
Our Commitment to Environment:
Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.
Our Perks and Benefits:
Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.
We also offer:
o Health Insurance with Dental & Vision
o 401K Plan
o Life Insurance, STD & LTD
o Paid Vacations & Holidays
o Paid Parental Leave
o FSA Dependent & Limited Purpose care
About Apexon
Sourced by ZipRecruiter
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Santa Clara, CA, US