Machine Learning Engineer - Remote
Seattle, Washington
Contractor
$50.00 - $65.00 per Hour
LHH Recruitment Solutions is looking for an experienced Machine Learning Engineer to join our AI/ML Team in the centralized Data organization. In this role you will be applying cutting edge AI/ML technology to solving the most complex and exciting problems in the quickly growing and evolving field. We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to identify business problems, explore different ways to resolve issues, and systematically find the most efficient and effective way to deliver business impact.
**This is a Remote, Contract-to- Hire role working West Coast hours. Candidates must be authorized to work in the US and visa sponsorship cannot be provided.**
Responsibilities
Assist in designing, implementing, and deploying Machine Learning solutions to solve complex problems and deliver real business value ie. revenue, engagement and customer satisfaction.
Collaborate with data scientists, software engineers, and business partners to identify AI/ML opportunities for improving operation scalability and efficiency.
Assist in developing production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more.
Support the monitoring and improvement of model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
Stay up-to-date in machine learning, and artificial intelligence trends and technologies, all while contributing to the growth of AI/ML in the Crypto industry.
Qualifications
Experience in building, deploying, measuring, and maintaining machine learning models.
Familiarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
Programming skills in Python, Scala, Go or other languages.
Good written and verbal communication skills and interpersonal skills.
Experience or familiarity with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.
Experience or familiarity with Big Data tools – Spark, S3, Hadoop.
Experience or familiarity with MLOps platforms, such as Kubeflow or MLFlow, is a plus.
Knowledge of GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plus.
Bachelor's degree in Computer Science, Machine Learning or related field.
A minimum of 2 years of experience in AI/ML engineering, with a focus on learning and skill development.
Compensation:
· $50-65/hr
Benefit Offerings:
Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Disclaimer: This is not a C2C opportunity.
Pay Details: $50.00 to $65.00 per hour Search managed by: Scott McKeenBenefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, 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.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
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
Machine Learning Engineer - Remote
LHH
3 days ago
$50.00 - $65.00 per Hour
Contractor
Seattle, Washington
LHH Recruitment Solutions is looking for an experienced Machine Learning Engineer to join our AI/ML Team in the centralized Data organization. In this role you will be applying cutting edge AI/ML technology to solving the most complex and exciting problems in the quickly growing and evolving field. We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to identify business problems, explore different ways to resolve issues, and systematically find the most efficient and effective way to deliver business impact.
**This is a Remote, Contract-to- Hire role working West Coast hours. Candidates must be authorized to work in the US and visa sponsorship cannot be provided.**
Responsibilities
Assist in designing, implementing, and deploying Machine Learning solutions to solve complex problems and deliver real business value ie. revenue, engagement and customer satisfaction.
Collaborate with data scientists, software engineers, and business partners to identify AI/ML opportunities for improving operation scalability and efficiency.
Assist in developing production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more.
Support the monitoring and improvement of model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
Stay up-to-date in machine learning, and artificial intelligence trends and technologies, all while contributing to the growth of AI/ML in the Crypto industry.
Qualifications
Experience in building, deploying, measuring, and maintaining machine learning models.
Familiarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
Programming skills in Python, Scala, Go or other languages.
Good written and verbal communication skills and interpersonal skills.
Experience or familiarity with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.
Experience or familiarity with Big Data tools – Spark, S3, Hadoop.
Experience or familiarity with MLOps platforms, such as Kubeflow or MLFlow, is a plus.
Knowledge of GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plus.
Bachelor's degree in Computer Science, Machine Learning or related field.
A minimum of 2 years of experience in AI/ML engineering, with a focus on learning and skill development.
Compensation:
· $50-65/hr
Benefit Offerings:
Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Disclaimer: This is not a C2C opportunity.
Pay Details: $50.00 to $65.00 per hour Search managed by: Scott McKeenBenefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, 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.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
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