Ascentt · 6 hours ago
Senior Machine Learning Engineer
United States
Full-time
Remote
Senior Level
7+ years expAscentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques to design, develop, and deploy scalable machine learning models for real-world business problems.
AnalyticsArtificial Intelligence (AI)AutomotiveBig DataBusiness IntelligenceInformation TechnologyMachine LearningManufacturingMedia and Entertainment
Responsibilities
Design, develop, and deploy scalable machine learning models for real-world business problems using structured and unstructured data
Analyze large datasets using PySpark and other distributed computing frameworks to extract insights and prepare features for ML pipelines
Apply a wide range of statistical, machine learning, and deep learning techniques, including but not limited to regression, classification, clustering, time-series forecasting, and NLP
Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and deployment
Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment
Collaborate closely with data engineers, data scientists, and product teams to integrate models with business workflows
Monitor and improve model performance, scalability, and reliability in production
Contribute to setting up and maintaining the ML environment and tooling (including environment configuration, CI/CD pipelines for ML, model versioning, etc.)
Qualification
Required
7+ years of experience in machine learning, data science, or related fields
Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Hands-on experience with PySpark for big data processing and model development
Proficient in building models on large-scale datasets (terabytes to petabytes)
Solid understanding of statistical analysis, probability, hypothesis testing, and experimental design
Experience with Amazon SageMaker (or similar cloud-based ML platforms)
Strong knowledge of ML Ops practices including version control, model monitoring, and retraining strategies
Familiarity with containerization (Docker) and CI/CD practices for ML projects is a plus
Excellent communication skills and the ability to clearly explain complex concepts to non-technical stakeholders
Preferred
Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative discipline
Experience with workflow orchestration tools (e.g., Airflow, Kubeflow)
Prior experience in domains like Manufacturing, finance, healthcare, or e-commerce is a plus
Company
Ascentt
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers.
201-500 employees
H1B Sponsorship
Ascentt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (24)
2024 (26)
Funding
Current Stage
Growth StageRecent News
Business News Americas
2025-07-04
2022-03-25
Company data provided by crunchbase