Senior ML Engineer Jobs in Irving, TX

Basic Qualifications

• Minimum 4+ years of hands-on experience in Data Science and Machine Learning Engineering
• Minimum 2+ years of direct experience working with LLMs, Generative AI, or NLP solutions in a production environment (OpenAI, Anthropic Claude, LLaMA, Mistral or similar)
• Experience building LLM-powered applications such as chatbots, summarization, classification, and document extraction.
• Proficiency in prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques

• Bachelor's Degree

Preferred Qualifications

• Experience in BFSI domain.

• Exposure to LLM-as-a-Judge evaluation frameworks.
• Knowledge of responsible AI and model explainability (SHAP, LIME).
• Familiarity with Agile/Scrum delivery. Azure ML Studio, Databricks, or Snowflake experience.

Soft Skills

Strong communication skills with ability to work across onshore/offshore teams and client stakeholders. Self-starter comfortable in fast-paced Agile POD environments

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 6/25/26.

Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:

Accenture Flex Jobs

Role Location Hourly Salary Range

Irving, TX

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