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Independent Contractor Infosys Machine Learning Jobs

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will work both independently and collaboratively across projects involving multimodal ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

They offer a supportive environment that fosters independent thought in a collegial, results ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Independently implement data transformations, joins, and aggregations across large, multi-source ...

Calendly

Machine Learning Engineer

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing ... Prioritize your work independently, balancing feature development, quality, and maintenance, and ...

Infosys

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... machine learning techniques and collaborate with technology teams to operationalize them into ... EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will work both independently and collaboratively across projects involving multimodal ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will work both independently and collaboratively across projects involving multimodal ...

Point72

Machine Learning Engineer

New York, NY

Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ... Collaborative mindset with strong independent research ability * Strong written and verbal ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Balance multiple projects/tasks and priorities to ensure deadlines are met, working independently ... This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

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Independent Contractor Infosys Machine Learning information

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How much do independent contractor infosys machine learning jobs pay per week?

As of Jun 22, 2026, the average weekly pay for independent contractor infosys machine learning in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.
What are the most commonly searched types of Infosys Machine Learning jobs? The most popular types of Infosys Machine Learning jobs are:
Independent Contractor Infosys Machine Learning jobs near you
Infographic showing various Independent Contractor Infosys Machine Learning job openings in the United States as of June 2026, with employment types broken down into 58% Full Time, 37% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.

Machine Learning Engineer

Quanta Search

Manhattan, NY

Other

Posted 17 hours ago

Job description

Our client is a process driven investment management group consisting of a team of researchers, traders and technologists who harness and apply the power of technology and automation to identify, model and trade global financial markets. Thisdivision offers an array of quantitative investment fund products to its clients.
They are seeking candidates with exceptional academic credentials to join theirteam and participate in and support of the firm's efforts in the research, trading and production processes.
They look for candidates who are eager to make an impact by doing real, hands-on research and development. Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems. A desire to work with large data sets and apply creative thinking is required. Successful candidates will also have deep interest in learning about trading and the financial markets.
They offera supportive environment that fosters independent thought in a collegial, results oriented, work setting. Researchers and developers there are passionate about their work, model building, data and technology.
You are curious and intellectually driven to succeed. You'll beprovidedwith the tools, resources and training required to satisfy that curiosity and passion, leading them to new insights and discoveries. Theirprocess driven approach enables these insights to be thoroughly tested in a systematic fashion and ultimately, if confirmed, integrated into theportfolio.
Role:
Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud computing. Machine Learning Engineers should be comfortable with data engineering and should have an interest in the data science.
What they will do:
They will be responsible for their production grade signal generation and ML systems. They can act as data scientists, but should be comfortable pushing their algorithms, models, and signals into production.
Minimum Requirements:
  • Strong understanding of statistical analysis and computational modelling.
  • Strong understanding of algorithms and data structures.
  • Familiar with map reduce and big data processing (Spark, Hadoop, DataFlow, etc).
  • TensorFlow (or another GPU integrated deep learning library).
  • Deep understanding of machine learning algorithms.
  • Deep understanding of numerical optimization.
  • Strong understanding of data structures and algorithms.
Plus, but not required:
  • Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc).
  • Experience building industrial grade ETL pipelines.
  • Experience building frontend systems.
  • Familiarity with dashboards and other visualization tools.
  • Ability to derive generalization bounds for common ML algorithms.
  • Experience developing new machine learning algorithms.

Apply