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Machine Learning Engineer

Machine Learning Engineer

AkkodisSan Francisco, CA, United States
30+ days ago
Job type
  • Temporary
Job description

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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-$90\hr(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 LangChain or LangGraph.

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, LangSmith, 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.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https : / / www.akkodis.com / en / privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and / or security clearance requirements, including, as applicable :

  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance

Formerly Modis, an Adecco Group Company

Satender Singh Bisht

Resource Development Manager

M +1 610 979 9123

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Contract

Job function

Job function

Information Technology

Industries

Freight and Package Transportation, IT Services and IT Consulting, and Transportation, Logistics, Supply Chain and Storage

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Machine Learning Engineer • San Francisco, CA, United States

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