Back to Job Listings

Machine Learning Engineer

United States, Boston - Massachusetts

SpringCube

Full-time - Senior Engineer

IT Services & Consulting

Posted 4 weeks ago

Disclosed upon interview

Apply for the job

OR apply with

An easy way to apply for this job. Use the following social media.

Share:
✕

Added this job to list, send job list to your email
Send

Send Feedback

Report This Job

Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A cutting-edge AI platform company specializes in unlocking the power of generative AI for tabular data. Their platform allows business users to connect disparate datasets, leverage no-code AI/ML tools, and build enterprise-wide AI applications quickly. Built on proprietary technologies developed from MIT research, the company focuses on data reconciliation, prediction, and scenario planning. By combining enterprise expertise with deep AI research, the organization enables scalable solutions for data harmonization, forecasting, and predictive modeling across industries.

Summary
The Machine Learning Engineer will develop, optimize, and deploy ML solutions that maximize performance and scalability. This role combines deep technical expertise with collaboration across teams to implement AI/ML systems that drive business value.

Responsibilities

Develop and deploy machine learning models for optimal performance and scalability
Build tools and services to enhance the ML platform using technologies like Kubernetes, Helm, and EKS
Apply deep learning architectures (CNNs, RNNs, etc.) to solve complex problems
Stay updated on recent ML and deep learning research and apply findings to real-world applications
Collaborate with cross-functional teams to integrate AI and ML solutions
Manage large datasets and build ML pipelines for data processing and training
Design and implement scalable ETL/ELT processes
Develop an on-demand predictive modeling platform using gRPC
Utilize cloud services (AWS, Azure) and containerization technologies for cloud-native challenges
Provide occasional support to customer success and stakeholder management

Technologies Used

Languages: Python3, C++, Rust, SQL
Frameworks: PyTorch, TensorFlow, Docker
Databases: Postgres, Elasticsearch, DynamoDB, RDS
Cloud/Containerization: Kubernetes, Helm, EKS, Terraform, AWS
Data Engineering: Apache Arrow, Dremio, Ray
Miscellaneous: Git, Jupyterhub, Apache Superset, Plotly Dash

Qualifications

Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master’s preferred)
0–5+ years of experience depending on level
Strong understanding of data structures, data modeling, algorithms, and software architecture
Proficiency in probability, statistics, and algorithm development
Hands-on experience with ML and deep learning libraries (Scikit-learn, Keras, TensorFlow, PyTorch, Theano, DyLib)
Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm) is a plus
Proficiency in Python, AWS services, and ETL/ELT pipelines
Understanding of software design principles, design patterns, and testing best practices
Experience with Kubernetes and/or EKS is an advantage
Strong problem-solving skills and ability to take initiative
Excellent organizational, time management, and communication skills
Willingness to engage in pair programming, share knowledge, and provide/receive feedback

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

Job Detail

Job ID 28600
Show/Hide Annual Salary Hide Salary Details
Experience Level Senior Engineer
Industry IT Services & Consulting
Minimum Education Qualifications Degree or Equivalent
Workplace Type Onsite
Company Type Global Companies

Other Jobs You May Like