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Remote Aws Machine Learning Jobs in Needham, MA (NOW HIRING)

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing ...

The Mutual Group

Lead AI Engineer - AWS Platform

Boston, MA · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Motion Recruitment

Senior ML Engineer

Boston, MA · Remote

$113K - $156K/yr

Join a global leader in legal, regulatory, and business information as a Senior Machine Learning ... This is a 6-12 month remote contract-to-hire opportunity. You'll help build and scale enterprise AI ...

Manulife

Data Engineer

Boston, MA · Remote

$137K/yr

Collaborate with data scientists to build pipelines for training and deploying machine learning ... This position is eligible for fully remote work from any location in the United States. Minimum ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Needham, MA

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Remote Aws Machine Learning jobs in Needham, MA look for?

The top searched job categories for Remote Aws Machine Learning jobs in Needham, MA are:

What cities near Needham, MA are hiring for Remote Aws Machine Learning jobs?

Cities near Needham, MA with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you

AI Data Engineer

C the Signs

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 11 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply