Accenture

^AI ML Engineer - 6352113

Accenture$100K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in Data Science and Machine Learning Engineering
  • 2+ years of experience with LLMs, Generative AI, or NLP in production
  • Experience building LLM-powered applications like chatbots or document extraction
  • Proficiency in prompt engineering and RAG techniques
  • Bachelor's Degree required
  • Exposure to BFSI (Banking, Financial Services, and Insurance) domain preferred

Responsibilities

  • Design and develop Large Language Model (LLM) solutions for banking automation
  • Deploy Generative AI applications to enhance data-driven decision-making
  • Collaborate with a 14-member Agile POD for project execution
  • Implement fine-tuning techniques for improved model performance
  • Work with clients to refine and adapt AI solutions

Benefits

  • Market competitive medical, dental, and vision coverage
  • Long-term disability coverage
  • 401(k) plan with company contributions
  • Generous paid time off allocation
Full Job Description
We are seeking a Senior ML Engineer / Data Scientist to join a 14-member Agile POD supporting the Bank of America AI/ML engagement. This role focuses on designing, developing, and deploying Large Language Model (LLM) and Generative AI solutions that drive intelligent automation and data-driven decision-making across banking operations. **This role requires being onsite 3 days per week in Plano, TX. This role has a 5 days away mandate per quarter by the client.** 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: Role Location Hourly Salary Range California $44.00-$54.00 Cleveland $44.00-$54.00 Colorado $44.00-$54.00 District of Columbia $44.00-$54.00 Illinois$44.00-$54.00 Maine $44.00-$54.00 Maryland $44.00-$54.00 Massachusetts $44.00-$54.00 Minnesota $44.00-$54.00 New York $44.00-$54.00 New Jersey $44.00-$54.00 Virginia $44.00-$54.00 Washington $44.00-$54.00

About Accenture

Accenture plc is a multinational professional services company that provides services in strategy, consulting, digital, technology, and operations. The company has more than 537,000 employees serving clients in more than 120 countries. Accenture operates across five business segments: Communications, Media & Technology; Financial Services; Health & Public Service; Products; and Resources. The company is headquartered in Dublin, Ireland, and has offices worldwide.
Learn more about Accenture
Size
624,000 employees
Market Cap
$173.8 billion
Industry
Net Income
$5.2 billion
Founded
1989
5 Year Trend
+11.2%
Revenue
$44.7 billion
NASDAQ

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