Our enterprise client has a Perm Hybrid position for a Senior Machine Learning Engineer to be a part of the AI/Machine Learning Global IT Team. The ideal candidate will work and support complex NLP, AI and machine learning challenges, driving forward any ML engineering capabilities.
Candidates will be responsible for deploying, implementing, and maintaining advanced machine learning models that enhance our technological solutions and improve decision-making processes.
location: Princeton, New Jersey
job type: Permanent
salary: $155,000 - 189,000 per year
work hours: 8am to 5pm
education: Bachelors
responsibilities:
- Develop and implement Machine Learning models, focusing on training & deployment process optimization, including parallelization.
- Design and build cloud-based data pipelines, integrating ML models into existing software solutions. Write and maintain robust, scalable production-quality code for deployment of ML models and services.
- Create and deploy inference endpoints (APIs) and optimize compute architectures and data structures.
- Implement logging and metric generation for models, ensuring comprehensive monitoring and addressing model degradation.
- Lead the deployment of machine learning models in Azure cloud environments, managing the full lifecycle from development to production.
- Build CI/CD pipelines for machine learning models using Azure tools to streamline deployment and updates.
- AI Governance: Ensure compliance with AI governance policies and ethical guidelines, including data privacy, fairness, and transparency in AI systems
- Work closely with data scientists, engineers, and product managers to review code and integrate ML models into products and services.
- Collaborate with cross-functional teams to continuously improve and advance technologies and methods for ML systems.
- Keep up with the latest advancements in machine learning and related technologies to continuously improve model performance.
qualifications:
- Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for Machine Learning.
- Expertise with ML libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, Databricks, MLFlow, dvc, dbt) and the ability to select the right tools for the use case.
- Proven experience in optimizing ML training processes, including parallelization techniques to improve model performance.
- Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling.
- Skilled in implementing ML monitoring systems, including logging and metric generation for machine learning models.
- Very good Azure and data & AI technology skills - specifically: Databricks / Spark, Azure Datalake Store, Azure AI Search, Azure ML, Dataiku.
- Skilled in cloud platforms (Azure, AWS) for deploying machine learning models and managing model lifecycle, with a focus on addressing model degradation.
- Experience with CI/CD pipelines for ML, using tools such as Azure Pipelines, or similar.
- Proficiency with data science tools and best practices for ensuring high-quality and efficient ML workflows.
- Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis.
- Extra credit for cloud deployment experience (Azure), containerization (Docker), vector search engines (Azure AI Search), knowledge graphs, ML publications, or competition participation.
skills: Preferred Qualifications:
- Advanced Degree: Master's degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience.
- Experience with Big Data: Strong proficiency with big data technologies such as Azure Databricks and Spark.
- Leadership Experience: Previous experience leading a team of data scientists or engineers.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
