100% Remote Machine Learning Engineer – Technical Lead

[Jobs Jobs]

Machine Learning Engineer – Technical Lead (Remote)

Location: Remote

Experience Required: 12+ years

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Position Overview

We are looking for an experienced Machine Learning Engineer – Technical Lead to design, build, and scale production-grade machine learning systems for a large US healthcare organization.

This role requires strong hands-on expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Data Engineering, and MLOps, along with experience deploying ML solutions on cloud platforms (AWS, Azure, or GCP).

The ideal candidate will take technical ownership of end-to-end ML solutions, lead architecture and implementation, and mentor engineers while working in a fully remote, enterprise healthcare environment.

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Key Responsibilities

ML Architecture & Solution Design

• Design and lead end-to-end machine learning architectures from data ingestion through model deployment.
• Translate business and healthcare requirements into scalable ML solutions.
• Select appropriate algorithms, frameworks, tools, and cloud services.
• Ensure solutions are secure, reliable, and production-ready.

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Data Engineering & ML Pipelines

• Build and manage scalable data pipelines for model training, inference, and retraining.
• Perform data ingestion, cleaning, transformation, and feature engineering.
• Ensure data quality, reliability, lineage, and version control across ML workflows.
• Collaborate with data and platform teams on batch and streaming pipelines.

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Model Development (ML, DL & NLP)

• Lead development and optimization of machine learning and deep learning models.
• Build and deploy NLP models for classification, extraction, and language understanding use cases.
• Conduct experimentation, evaluation, and performance tuning.
• Ensure models meet accuracy, explainability, and compliance standards.

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Cloud AI & MLOps

• Implement ML solutions on AWS, Azure, or GCP.
• Establish and maintain MLOps pipelines for:
• CI/CD
• Model versioning
• Automated deployment
• Monitoring and retraining
• Monitor model performance, data drift, and system health in production.

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Technical Leadership

• Act as technical lead for ML initiatives.
• Mentor and guide ML engineers and data scientists.
• Collaborate with product, platform, DevOps, and security teams.
• Take ownership of ML solutions from design to production support.

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Required Skills & Experience

Must Have

• 6–10 years of overall experience in Machine Learning / AI engineering.
• Strong expertise in Machine Learning and Deep Learning.
• Hands-on experience with Natural Language Processing (NLP).
• Strong Python programming skills.
• Solid background in data engineering for ML systems.
• Proven experience building production-grade ML and MLOps pipelines.
• Experience deploying ML systems at scale in cloud environments.

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Nice to Have

• Experience with distributed data processing (e.g., Spark).
• Knowledge of Docker and Kubernetes.
• Experience with real-time or streaming ML pipelines.
• Understanding of model governance, explainability (XAI), and Responsible AI.
• Prior experience in healthcare or other regulated industries.

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Soft Skills

• Strong technical leadership and mentoring ability.
• Excellent communication and collaboration skills.
• Ability to translate complex problems into scalable ML solutions.
• High ownership and accountability mindset.

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Thanks,

Everest Global Solutions INC

Email  :Jo...@everestglobalsolutionsinc.com