- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Lead ML Engineer.
Urgent! Lead ML Engineer Job Opening In Remote – Now Hiring Newfold Digital
Role summary
Own the end-to-end ML lifecycle—from clarifying business goals and designing data/ML architectures to building, deploying, and monitoring models that drive measurable impact.
You’re hands-on in Python and comfortable across modern data platforms and ML stacks (pick the right tool for the job), with strong judgment about when to favor classic ML vs.
deep learning and how to productionize responsibly at scale.
What you’ll do
Partner with the business to translate requirements into clear problem statements, KPIs, and experiment plans (A/B, holdout, backtests).
Design data & ML architectures on lakehouse/warehouse stacks (e.g., Oracle Exadata, Spark/Databricks; Snowflake/BigQuery/Redshift with open table formats like Iceberg/Delta/Hudi or equivalent ).
Build pipelines for ingestion, feature engineering, and training (batch & streaming) using Python + SQL with orchestration (Airflow/Prefect/Dagster).
Model using scikit-learn/XGBoost/LightGBM and PyTorch/TensorFlow; manage experiments and lineage
Serve & operate models on a major cloud ML platform (Azure ML, SageMaker or Vertex AI), with CI/CD, canary/blue-green, and rollback guardrails.
Monitor & improve: implement data/model quality and drift monitoring, alerting, and dashboards; close the loop with BI (Power BI/Tableau/Looker).
Document & review: author concise design docs and run technical reviews; mentor engineers; champion responsible AI practices.
Must-have experience
8+ years in applied ML & data engineering (3+ years leading delivery of production ML systems).
Python expert with production-grade SQL; strong with pandas/Polars, scikit-learn, and one of: XGBoost/LightGBM.
Fluency in core ML toolkits including TensorFlow, PyTorch, scikit-learn, and familiarity with Hugging Face or equivalent frameworks.
Proven record of constructing and maintainingscalable data pipelines—both batch and streaming—for model training and deployment.
Data platforms: hands-on with one of: Oracle ExaData, Spark/Databricks, or Snowflake, BigQuery/Redshift or equivalent; comfortable with open table formats (Iceberg/Delta/Hudi).
Orchestration: real projects using one of Airflow, Prefect, or Dagster.
Cloud ML platform: production deployments on one of SageMaker, Vertex AI, or Azure ML (pipelines, endpoints, registries).
MLOps: CI/CD for ML, experiment tracking, model registry, observability (latency, errors), and data/model drift monitoring.
Communication: ability to frame trade-offs and influence cross-functional partners; crisp writing of design/decision docs.
Nice-to-have
Feature stores for training/serving consistency and reuse.
Streaming (Kafka/Event Hubs/PubSub) and time-series/forecasting at scale.
GenAI (prompt/eval/fine-tuning) when it adds clear value.
BI & semantics (Power BI/Tableau/Looker models) to translate model output into decisions.
Why join our AI CoE?
You'll design and lead the intelligent fabric behind our AI solutions—merging data engineering finesse with generative creativity to deliver scalable, insightful, and responsible models.
If you're passionate about spearheading next-generation AI systems, mentoring talented engineers, and shaping organizational culture, this role is your opportunity to make a lasting impact.
Employment with Newfold Digital is at-will and nothing in this Job Description should be interpreted or construed to alter the at-will employment relationship.
This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities.
This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform.
The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Lead ML Potential: Insight & Career Growth Guide
Real-time Lead ML Jobs Trends in Remote, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead ML in Remote, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 88874 jobs in United States and 272 jobs in Remote. This comprehensive analysis highlights market share and opportunities for professionals in Lead ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Newfold Digital is currently hiring and seeking a Lead ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead ML Engineer Jobs Remote.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Newfold Digital adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead ML Engineer Jobs United States varies, but the pay scale is rated "Standard" in Remote. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Lead ML Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead ML Engineer interview at Newfold Digital, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Newfold Digital's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Lead ML Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!