Top 19 Machine learning engineer Jobs in South Dakota

Backend ML Engineer
Sterling Computers Corporation —North Sioux City, SD
- Full-time
- Computer science
- Azure
- Computer Science
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AI Engineer, Senior
Pathward, N.A. —Sioux Falls, SD
- $86,000 - $145,000 a year
- Hybrid work
- Bachelor's degree
- Continuous improvement
- Experience equivalent to degree accepted
- Health insurance
- 401(k)
Staff Software Engineer - Search / AI
CVS Health —South Dakota
- $106,605 - $284,280 a year
- Full-time
- Remote
- Azure
- System design
- High school diploma or GED
- Health insurance
- Dental insurance
Data Scientist
Sterling Computers Corporation —North Sioux City, SD
- Full-time
- Computer Science
- Mid-level
- Office
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Design Engineer
TCOM, L.P. —Sioux Falls, SD
- Microsoft Excel
- Customer service
- Engineering
- Paid holidays
- Disability insurance
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9d
Manufacturing Engineer
AG Growth International Inc. —Sioux Falls, SD
- Schematics
- 5 years
- Quality control
Mechanical Automation Engineer
DARCEO Inc —Rapid City, SD
- $75,000 - $105,000 a year
- Full-time
- Master's degree
- Budgeting
- Senior level
- Health insurance
- Dental insurance
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Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Pierre, SD
- $83,430 - $222,480 a year
- Full-time
- 3 years
- High school diploma or GED
- Bachelor's degree
- Health insurance
- Dental insurance
Senior Expert I, Data Science
Novartis —South Dakota
- $126,000 - $234,000 a year
- Full-time
- Hybrid work
- Computer Science
- Pass drug screening
- English
- Health insurance
- 401(k) matching
Financial Crimes Model Analyst
STRIDE BANK NA —Sioux Falls, SD
- Full-time
- Computer Science
- Mid-level
- 3 years
Analytics Engineer
S5 Stratos —United States
- Full-time
- Remote
- Background check
- Computer Science
- SQL
- Health insurance
- Dental insurance
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Senior DevOps Software Engineer
Savance —United States
- $100,000 - $160,000 a year
- Full-time
- Remote
- Background check
- Google Workspace
- Azure
- Health savings account
- Paid holidays
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7d
Senior Application Engineer (Remote)
Govcio LLC —United States
- $175,000 - $200,000 a year
- Full-time
- Remote
- Azure
- System design
- 11+ years
4d

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Omnitech Inc —Sioux Falls, SD
Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform.
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Backend ML Engineer

Sterling Computers Corporation -
North Sioux City, SD

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Job Details

Full-time

Qualifications

AI models
Generative models
AI platforms (beyond public GPTs)
Computational framework
Machine learning cloud services
Machine intelligence
Developing and maintaining backend systems
Machine learning libraries
Machine learning frameworks
Generative AI

Full Job Description

Title: Backend ML Engineer

Reports to: Senior Software Architect

Location: North Sioux City, SD

Job Description: Sterling Computers is a technology company that provides IT solutions to a variety of clients, including the federal government, state and local governments, education, and commercial entities. Sterling's Strategic Technologies Group is responsible for learning and becoming subject matter experts in new and emerging technologies. Our team uses this expertise to broaden the portfolio of products and solutions that the company sells, delivers, and manages. Our engineers work on a range of AI-integrated systems, from production RAG platforms and LLM orchestration layers to digital human solutions and intelligent automation pipelines. We are looking for a Backend ML Engineer who is interested in taking AI/ML systems from prototype to production, designing inference APIs, building retrieval and orchestration pipelines, integrating large language models, and operating ML infrastructure at scale. If you thrive in a collaborative, client-focused environment and enjoy shipping AI features that real users depend on, we'd love to have you on our team.

Required Technical Skills:

3–5 years of experience in backend or ML engineering
Strong working knowledge of Python, including FastAPI or Flask
Experience with modern ML libraries such as PyTorch, Hugging Face Transformers, and sentence-transformers
Proficiency with cloud platforms including AWS, GCP, or Azure
Hands-on experience integrating LLMs (OpenAI, Anthropic, Gemini, or open-source models) into production systems
Familiarity with vector databases such as Weaviate, pgvector, Pinecone, or similar
Experience with retrieval-augmented generation (RAG) patterns
Self-motivated with a positive and professional attitude
Knowledge of additional languages such as Node.js, JavaScript, or other relevant languages is a plus

Required Education/Experience:

Bachelor’s degree in Computer Science, Machine Learning, or a related field (minimum requirement), or equivalent practical experience
Graduate-level coursework or specialization in ML/AI is a plus
Relevant cloud certifications are a plus
Demonstrated experience shipping ML systems to production is a plus
US DoD Clearance preferred or willingness to obtain such

Qualifications:

Strong experience building backend services with Python (FastAPI/Flask); comfort working with async APIs and request/response patterns for ML inference workloads.
Hands-on experience integrating LLMs and embedding models into production applications, including prompt engineering, context management, and handling rate limits, retries, and streaming responses.
Familiarity with RAG architectures: chunking strategies, embedding pipelines, vector search, reranking, and evaluation metrics (Recall@k, MRR, faithfulness, answer relevance).
Experience with vector databases (Weaviate, pgvector, Pinecone, Qdrant, or similar) and traditional databases (PostgreSQL, MariaDB) for hybrid retrieval and metadata filtering.
Cloud experience (AWS/GCP/Azure) for deploying ML services — including managed inference endpoints, GPU instances, or serverless model hosting.
Strong understanding of API authentication, secure handling of model inputs/outputs, and PII/PHI-aware design where applicable.
Experience with ML observability: tracking latency, token usage, cost-per-query, retrieval quality, and model drift in production.
Background in data pipelines, document ingestion/parsing, or evaluation frameworks (Ragas, TruLens, Docling, custom harnesses) is needed.
Familiarity with fine-tuning, LoRA/PEFT, or model distillation is appreciated.
Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow) or LLM orchestration frameworks (LangChain, LlamaIndex, Haystack, or custom orchestrators) is a plus.

Responsibilities:

Build, test, and maintain production ML services — inference APIs, retrieval pipelines, orchestration layers, and guardrail/evaluation components.
Design scalable RESTful and streaming APIs that serve ML model outputs reliably under real-world load.
Integrate and tune LLMs, embedding models, and rerankers; evaluate trade-offs across hosted (Anthropic, OpenAI, Vertex) and self-hosted (HF, vLLM) options on cost, latency, and quality.
Build ingestion and chunking pipelines for unstructured data (PDFs, HTML, transcripts) and maintain vector store schemas for multi-tenant or multi-domain retrieval.
Implement evaluation harnesses to measure retrieval quality, generation faithfulness, and end-to-end answer correctness; close the loop from evals back into pipeline improvements.
Containerize and deploy ML workloads with Docker and Kubernetes; manage GPU/CPU resource allocation and model versioning.
Optimize database queries, vector search performance, and caching strategies (including LLM prompt caching) to reduce latency and cost.
Implement CI/CD pipelines for ML services and instrument monitoring for both system metrics (latency, error rate) and ML-specific metrics (retrieval quality, hallucination rate, drift)
Collaborate with frontend engineers, ML researchers, and product analysts to translate model capabilities into shipped features.
Document backend and ML infrastructure, including model cards, evaluation results, and architectural decisions
Travel - must be willing to travel 25% and periodically up to 50%.

Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.

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machine learning engineer jobs in south dakota

Backend ML Engineer

AI Engineer, Senior

Staff Software Engineer - Search / AI

Data Scientist

Design Engineer

Manufacturing Engineer

Mechanical Automation Engineer

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Senior Expert I, Data Science

Financial Crimes Model Analyst

Analytics Engineer

Senior DevOps Software Engineer

Senior Application Engineer (Remote)

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