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DSML Engineer - Onsite

Saksoft

Plano, Texas • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

Data Science
Machine Learning (ML)
Meta-data Management
Artificial Intelligence
Generative Artificial Intelligence (AI)
Python
Statistics

Summary

Position: DSML Engineer

Location: Plano, TX

Duration: Long-term

JOB DESCRIPTION:

DSML Engineer – Generative AI: About the Role

The successful candidate will help DSML teams move from fragmented discovery and manual project setup to a reusable, governed acceleration capability. The engagement is structured in two phases, with a formal continuation decision at the end of Phase 1.

What You'll Be Doing

Governed Knowledge and RAG

Partner with data and business owners to onboard approved documents, data definitions, prior work, and expert knowledge into a governed knowledge base.
Implement retrieval pipelines, metadata, taxonomy tagging, source citations, and quality checks that make context discoverable and trustworthy.
Create evaluation datasets and retrieval-quality metrics, and diagnose gaps in relevance, grounding, completeness, and source stewardship.
Ensure generated outputs clearly distinguish retrieved facts, inferences, assumptions, and items that require subject-matter-expert (SME) confirmation.

Agentic Product Engineering

Context Agent: Build an agent that retrieves and organizes approved DSML context into structured, usable outputs for data scientists and stakeholders.
DSML Use-Case Agent: Build an agent that translates business objectives, available data, and prior-project knowledge into structured data science and machine learning use cases, including requirements, assumptions, risks, and recommended next steps.
DSML Project Scaffolding Agent: Develop an agent that converts a use case into a standardized project starting point, generating the repository structure, starter code, documentation templates, and workflow guidance needed to begin delivery efficiently.
Design multi-step agent workflows that retrieve approved context, use tools safely, produce structured outputs, and retain human review points.
Implement prompt, workflow, and tool-orchestration patterns that improve repeatability, traceability, and usability for data scientists, ML engineers, business analysts, product owners, and SMEs.

Evaluation, Delivery, and Governance

Define and instrument technical and user-centered evaluation of agent outputs, covering correctness, completeness, traceability, revision effort, latency, and cost-to-serve.
Work in two-week agile sprints: demonstrate working increments, document technical decisions, and convert pilot feedback into a prioritized backlog.
Apply secure development practices and meet Responsible AI, security, privacy, data-governance, and enterprise review-board requirements.
Partner with the future operating owner to define maintainable code, runbooks, monitoring, knowledge-source refresh practices, and an enhancement backlog.

What You Bring

Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience.
5 years of software, data science, machine learning, or AI engineering experience, including production-quality Python development and collaborative, version-controlled delivery.
Hands-on experience building LLM-enabled applications, RAG systems, agentic workflows, or comparable AI assistants using APIs and structured tool integrations.
Strong Python skills and experience with modern software engineering practices, including testing, code review, CI/CD, API design, documentation, and observability.
Experience with data retrieval and indexing concepts, embeddings, vector or hybrid search, evaluation design, and quality measurement.
Ability to turn ambiguous business problems into testable technical requirements and to communicate trade-offs to technical and non-technical partners.
Demonstrated commitment to responsible AI, privacy, security, and data-governance practices.

Preferred Qualifications

Experience with modern LLM orchestration, agent-workflow, or developer-assistance platforms.
Experience designing LLM evaluation frameworks, guardrails, prompt-version management, telemetry, or model-risk controls.
Experience supporting ML lifecycle workflows, such as feature or data documentation, model development, or ML project bootstrapping.
Familiarity with data governance, responsible AI, access control, auditability, and human-in-the-loop review.

Skills

Mandatory Skills: GenAI - LLMOps, Statistics-Data Science

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10416061
Position Id: 9134760
Posted 3 days ago

Fitment

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Plano, Texas

•

15d ago

AI Engineer Plano, TX (Onsite) Contract Kindly share your updated resume to Job details: Client Data Science and Machine Learning DSML Team is seeking an experienced AI Engineer to design build evaluate and operationalize the technical foundation of the DSML AI Accelerator This role combines hands on generative AI engineering retrieval augmented generation RAG agent workflow design and software engineering with a strong focus on governance traceability and measurable delivery impactThe successf

Easy Apply

Third Party, Contract

Depends on Experience

Forward Deployed Engineer/ Onsite in Frisco

Frisco, Texas

•

Today

We are seeking an Associate Forward Deployed AI Engineer to help build and deploy cutting-edge AI, GenAI, and intelligent automation solutions. In this role, you'll work closely with stakeholders to turn business requirements into production-ready AI applications, agentic workflows, and LLM-powered solutions. Required Skills & Experience 2+ years of experience in software engineering, AI/ML, automation, or data engineering Experience with Python, APIs, and modern application development Expos

Easy Apply

Full-time

$200000 - $250000

AI Engineering Intern Summer 2027

Richardson, Texas

•

Today

What Drives Success As an Intern at Lennox, you will be a part of a team of innovative and knowledgeable industry professionals. You can expect to participate in impactful, developmental projects designed for your specific area of focus. This is approximately a 10 to 12-week program that will provide you with real work experiences to grow your career and provide exposure to business leaders throughout the company. Successful interns will have the potential opportunity of joining Lennox Full-Ti

Full-time

USD 22.50 - 25.00 per hour

Lead Applied AI & Machine Learning Engineer

Plano, Texas

•

Today

Job Description Build what's next in enterprise AI-solutions that materially improve how teams make decisions, automate work, and serve internal customers. You will take generative AI from concept to production, help set the standard for semantic consistency across systems, and partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. As an Ap

Full-time

Job Details

Skills

Data Science
Machine Learning (ML)
Meta-data Management
Artificial Intelligence
Generative Artificial Intelligence (AI)
Python
Statistics

Summary

Position: DSML Engineer

Location: Plano, TX

Duration: Long-term

JOB DESCRIPTION:

DSML Engineer – Generative AI: About the Role

What You'll Be Doing

Governed Knowledge and RAG

Partner with data and business owners to onboard approved documents, data definitions, prior work, and expert knowledge into a governed knowledge base.
Implement retrieval pipelines, metadata, taxonomy tagging, source citations, and quality checks that make context discoverable and trustworthy.
Create evaluation datasets and retrieval-quality metrics, and diagnose gaps in relevance, grounding, completeness, and source stewardship.
Ensure generated outputs clearly distinguish retrieved facts, inferences, assumptions, and items that require subject-matter-expert (SME) confirmation.

Agentic Product Engineering

Context Agent: Build an agent that retrieves and organizes approved DSML context into structured, usable outputs for data scientists and stakeholders.
DSML Use-Case Agent: Build an agent that translates business objectives, available data, and prior-project knowledge into structured data science and machine learning use cases, including requirements, assumptions, risks, and recommended next steps.
DSML Project Scaffolding Agent: Develop an agent that converts a use case into a standardized project starting point, generating the repository structure, starter code, documentation templates, and workflow guidance needed to begin delivery efficiently.
Design multi-step agent workflows that retrieve approved context, use tools safely, produce structured outputs, and retain human review points.
Implement prompt, workflow, and tool-orchestration patterns that improve repeatability, traceability, and usability for data scientists, ML engineers, business analysts, product owners, and SMEs.

Evaluation, Delivery, and Governance

Define and instrument technical and user-centered evaluation of agent outputs, covering correctness, completeness, traceability, revision effort, latency, and cost-to-serve.
Work in two-week agile sprints: demonstrate working increments, document technical decisions, and convert pilot feedback into a prioritized backlog.
Apply secure development practices and meet Responsible AI, security, privacy, data-governance, and enterprise review-board requirements.
Partner with the future operating owner to define maintainable code, runbooks, monitoring, knowledge-source refresh practices, and an enhancement backlog.

What You Bring

Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience.
5 years of software, data science, machine learning, or AI engineering experience, including production-quality Python development and collaborative, version-controlled delivery.
Hands-on experience building LLM-enabled applications, RAG systems, agentic workflows, or comparable AI assistants using APIs and structured tool integrations.
Strong Python skills and experience with modern software engineering practices, including testing, code review, CI/CD, API design, documentation, and observability.
Experience with data retrieval and indexing concepts, embeddings, vector or hybrid search, evaluation design, and quality measurement.
Ability to turn ambiguous business problems into testable technical requirements and to communicate trade-offs to technical and non-technical partners.
Demonstrated commitment to responsible AI, privacy, security, and data-governance practices.

Preferred Qualifications

Experience with modern LLM orchestration, agent-workflow, or developer-assistance platforms.
Experience designing LLM evaluation frameworks, guardrails, prompt-version management, telemetry, or model-risk controls.
Experience supporting ML lifecycle workflows, such as feature or data documentation, model development, or ML project bootstrapping.
Familiarity with data governance, responsible AI, access control, auditability, and human-in-the-loop review.

Skills

Mandatory Skills: GenAI - LLMOps, Statistics-Data Science

Dice Id: 10416061
Position Id: 9134760
Posted 3 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Plano, Texas

•

15d ago

Easy Apply

Third Party, Contract

Depends on Experience

Forward Deployed Engineer/ Onsite in Frisco

Frisco, Texas

•

Today

Easy Apply

Full-time

$200000 - $250000

AI Engineering Intern Summer 2027

Richardson, Texas

•

Today

Full-time

USD 22.50 - 25.00 per hour

Lead Applied AI & Machine Learning Engineer

Plano, Texas

•

Today

Full-time

DSML Engineer - Onsite

Skills

Summary

Dice Job Match Score™

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DSML Engineer - Onsite

Job Details

Skills

Summary

Dice Job Match Score™

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