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Senior Elearning Developer Jobs in Massachusetts

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ...

Freshworks

Technical Curriculum Developer

Boston, MA · On-site

Design engaging technical learning experiences including eLearning, certifications, simulations, job aids, and learning paths for Solution Engineers, Professional Services, Channel Partners, and ...

Freshworks

Technical Curriculum Developer

Boston, MA · On-site

Design engaging technical learning experiences including eLearning, certifications, simulations, job aids, and learning paths for Solution Engineers, Professional Services, Channel Partners, and ...

Freshworks

Technical Curriculum Developer

Boston, MA · On-site

Design engaging technical learning experiences including eLearning, certifications, simulations, job aids, and learning paths for Solution Engineers, Professional Services, Channel Partners, and ...

InterSystems

Senior Application Trainer

Boston, MA

Design, develop and maintain TrakCare/IntelliCare learning materials for classroom delivery, ... Clinical qualification, such as Doctor, Senior Nurse, Pharmacist, or Allied Health Professional ...

Freshworks

Technical Curriculum Developer

Boston, MA · On-site

$115K - $150K/yr

Design engaging technical learning experiences including eLearning, certifications, simulations, job aids, and learning paths for Solution Engineers, Professional Services, Channel Partners, and ...

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Senior Elearning Developer information

What is a senior elearning developer?

Senior Elearning Developers are experienced professionals who design, develop, and implement online learning materials and courses, often using advanced technologies and instructional design principles. They lead the creation of engaging, interactive content for corporate training, educational institutions, or other organizations. In addition to technical expertise in eLearning tools and platforms, they often manage projects, mentor junior team members, and collaborate with subject matter experts to ensure learning objectives are met. Their role is crucial in delivering effective digital learning experiences that support organizational goals.

What are the key skills and qualifications needed to thrive as a senior elearning developer?

To thrive as a Senior Elearning Developer, you need expertise in instructional design, eLearning authoring tools, multimedia production, and a strong background in education or instructional technology. Mastery of tools such as Articulate Storyline, Adobe Captivate, Learning Management Systems (LMS), and experience with SCORM or xAPI standards are typically required. Strong project management, creative problem-solving, and effective communication skills set standout candidates apart. These competencies ensure the creation of engaging, effective learning experiences and the successful delivery of complex eLearning projects.

What are some common challenges faced by senior elearning developers when managing multiple projects simultaneously?

Senior Elearning Developers often juggle several projects at once, which can present challenges such as balancing competing deadlines, adapting to different client or stakeholder requirements, and ensuring consistent quality across deliverables. Effective time management, clear communication with cross-functional teams, and the ability to quickly adapt to changing priorities are essential in this role. Utilizing project management tools and establishing transparent workflows can help manage workloads and maintain project timelines while delivering engaging, learner-centered content.

What is the difference between Senior Elearning Developer vs Instructional Designer?

AspectSenior Elearning DeveloperInstructional Designer
CredentialsBachelor's degree in Education, Instructional Design, or related field; experience with eLearning toolsBachelor's or Master's in Education, Instructional Design, or related field; certification in instructional design often preferred
Work EnvironmentDevelops and codes eLearning content, often collaborating with designers and subject matter expertsDesigns learning experiences, creates storyboards, and develops instructional strategies
Employer & Industry UsageUsed in corporate training, eLearning companies, and educational institutionsCommon in educational institutions, corporate training, and eLearning development

The main difference is that Senior Elearning Developers focus on the technical development and coding of eLearning content, while Instructional Designers concentrate on designing the learning experience and instructional strategies. Both roles often collaborate but have distinct responsibilities within the eLearning development process.

What are popular job titles related to Senior Elearning Developer jobs in Massachusetts?

For Senior Elearning Developer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Senior Elearning Developer jobs in Massachusetts look for?

The top searched job categories for Senior Elearning Developer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Elearning Developer jobs?

Cities in Massachusetts with the most Senior Elearning Developer job openings:

Senior Elearning Developer jobs near you

Senior Machine Learning Engineer

C the Signs

Boston, MA • On-site, Remote

$133K - $175K/yr

Full-time

Re-posted 8 days ago

Job description

Position Summary
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data.
Key Responsibilities
  • Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature engineering, and data normalization. Identify, collect, and curate relevant, industry-specific datasets for model retraining. Format data appropriately for the chosen LLM and training pipeline
  • Model Training & Fine-Tuning: Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems. Set up and manage the training environment, including GPU instances and required software. Train and fine-tune pre-trained LLMs on the custom dataset to achieve specific goals. Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance. Integration of structured + unstructured data (multi-modal/multi-input models)
  • Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies.
  • Pipeline Development: Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment.
  • Collaboration: Work closely with data scientists, clinicians, and software engineers to understand requirements, integrate models into production systems, and ensure data privacy and security compliance.
  • Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions.
  • Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.

Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • Experience:
    • 5+ years of experience in Machine Learning Engineering or a similar role.
    • Proven experience with large-scale data preprocessing, LLM/model training, and fine-tuning.
    • Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).
    • Experience with GPU/TPU optimization, memory management for large language models.
    • Experience working with healthcare data is highly desirable.
  • Technical Skills:
    • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
    • Strong understanding of various machine learning algorithms,Large Language Models, and deep learning architectures.
    • Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark) is a plus.
    • Familiarity with MLOps practices and tools.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and collaboration abilities.
    • Ability to work independently and as part of a team in a fast-paced environment.
  • 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