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Machine Learning Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Akkodis
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 85 - 90 USD Hourly USD 85.00 90.00 HOUR
Job Description & How to Apply Below

Get AI-powered advice on this job and more exclusive features.

This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$85.00/hr - $90.00/hr

Direct message the job poster from Akkodis

Hope you are doing well, I am Satender from Akkodis Group, my client is hiring for below role let me know if you are available.

Contract: 6 months contract(With extension possibility)

Pay: $85-$90hr(The rate may be negotiable based on experience, education, geographic location, and other factors.)

Hybrid 2 days onsite and 3 days remote per week

We are seeking a Senior AI/ML developer, with technical depth, good requirement analysis, project management and excellent documentation skills who can help our finance risk management team develop Data and AI solutions to automate control testing procedures and identify trends/anomalies in data

Basic

Qualification:

Strong proficiency in SQL and Python for data analysis.

Hands-on experience and advanced prompt engineering techniques with Large Language Models (e.g., OpenAI, Gemini, Anthropic, Mistral).

Experience building AI-powered workflows, preferably with Lang Chain or Lang Graph.

Comfort with data science tools such as Jupyter Notebooks, Pandas, and other common Python libraries.

Experience building web/data apps using Flask and/or Streamlit.

Working knowledge of statistics, data validation, and anomaly detection techniques

Experience with Data visualization tools(Tableau)

Excellent communication and interpersonal skills, with the ability to collaborate with a wide range of stakeholders.

Solid project management experience, including the ability to build projects from scratch independently.

Ability to work proactively and independently in a fast-paced environment.

Preferred Qualifications:

Experience with evaluating AI models, using tools like OpenAI Evals, Lang Smith, or custom evaluation frameworks

Experience in developing automation/technology solutions for Finance, Risk & Audit teams

Prior experience in internal developer ecosystem, including Databook, Querybuilder, Michelangelo, uWorc and internal automation pipelines.

What You'll do:

Spearhead the design and implementation of automation solutions to enhance the control environment's efficiency.

Continuously identify opportunities to leverage automation, analytics, and AI/ML capabilities for process optimization.

Construct queries and scripts to transform raw data into actionable insights.

Develop and maintain data analytics models and tools to recognize and evaluate key organizational risks.

Design data visualizations and dashboards that align with business needs.

Provide data-driven recommendations to enhance risk management processes.

Take full responsibility for the development and project tracking of deliverables from initiation to completion.

Contribute to the advancement of Gen AI prototypes, prompt designs, and model evaluation frameworks to foster ongoing innovation.

Assist with regular operational tasks as needed and requested by stakeholders.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Disclaimer:
These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

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