Machine Learning Engineer (US)

AVP VIGILANT TECHNOLOGY PVT LTD; Boston (MA); Hybrid; USD 120,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) and retirement benefits

Paid time off

Job summary

AVP Vigilant Technology Pvt Ltd is seeking a skilled Machine Learning Engineer to design, build, deploy, and optimize ML solutions across data, model development, software engineering, and MLOps. You will implement pipelines, productionize models, and monitor performance to ensure robust systems.

The role requires 2–8 years of experience, strong Python skills, and hands-on deployment of ML models on cloud platforms, with focus on scalable pipelines, testing, and monitoring.

Qualifications

• 2-8 years of experience in ML engineering or related field.
• Strong Python skills and experience with scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of ML algorithms, statistics, model evaluation.
• Hands-on experience deploying ML models to production.
• Experience with MLOps, ML pipelines, and CI/CD.
• Strong SQL and data-processing skills.
• Experience with AWS, Azure, or Google Cloud.

Responsibilities

• Develop, train, evaluate, and optimize ML models.
• Build scalable ML pipelines for data prep, training, validation, and deployment.
• Productionize ML models and monitor performance, reliability, and drift.
• Implement MLOps practices for automated deployment and lifecycle management.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.
• Improve model accuracy, scalability, latency, and system performance.
• Design APIs and services for integrating ML models into production apps.
• Implement testing, CI/CD, version control, and automated ML workflows.
• Troubleshoot production ML systems and improve reliability.
• Stay current with ML, MLOps, and AI technologies.

Skills

Python

ML pipelines

SQL

ML

Cloud platforms

CI/CD

MLOps

Tools

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

Airflow

Kubeflow

MLflow

Job description

Machine Learning Engineer

Experience: 2-8 Years

Location: San Francisco, CA | Seattle, WA | New York, NY | Boston, MA

Salary: $120,000-$250,000+ per year

Job Type: Full-Time

About The Role

We are seeking a talented Machine Learning Engineer to design, build, deploy, and optimize machine learning solutions that solve real-world business and technical problems. You'll work across data, model development, software engineering, and MLOps to bring ML models from experimentation into reliable production systems.

Key Responsibilities

• Develop, train, evaluate, and optimize machine learning models.
• Build scalable ML pipelines for data preparation, training, validation, and deployment.
• Productionize ML models and monitor performance, reliability, and model drift.
• Implement MLOps practices for automated model deployment and lifecycle management.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.
• Improve model accuracy, scalability, latency, and overall system performance.
• Design APIs and services for integrating ML models into production applications.
• Implement testing, CI/CD, version control, and automated ML workflows.
• Troubleshoot production ML systems and continuously improve reliability.
• Stay current with emerging machine learning, MLOps, and AI technologies.

Required Qualifications

• 2-8 years of experience in Machine Learning Engineering, Software Engineering, Data Science, or a related field.
• Strong proficiency in Python and experience with ML libraries such as scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of machine learning algorithms, statistics, model evaluation, and optimization.
• Hands-on experience building and deploying ML models into production.
• Experience with MLOps, ML pipelines, model monitoring, and CI/CD.
• Strong SQL and data-processing skills.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong software engineering, debugging, and problem-solving skills.

Preferred Qualifications

• Experience with Kubernetes, Docker, Airflow, MLflow, Kubeflow, or similar tools.
• Experience with feature stores and model-serving platforms.
• Knowledge of distributed computing and large-scale data processing.
• Experience with Generative AI, LLMs, RAG, NLP, or computer vision.
• Experience optimizing ML systems for production-scale workloads.

What We Offer

• Competitive salary of $120K-$250K+, based on experience, skills, and location.
• Medical, dental, and vision insurance.
• 401(k) and retirement benefits.
• Paid time off and company holidays.
• Flexible and hybrid work options, depending on role.
• Professional development and learning opportunities.
• Opportunity to work on high-impact AI and ML products.
• Collaborative, technology-driven work environment.

Skills: ml,machine learning,data