Seeking a Staff Applied Machine Learning Scientist to design, develop, and deploy advanced ML models and AI systems. Responsibilities include building production-grade ML solutions, optimizing data pipelines, and leveraging deep learning and LLMs. Requires strong skills in ML, DL, LLMs, PyTorch, Spark, SQL, and cloud platforms.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About the Company
Placement Services USA, Inc. is a professional recruitment and staffing organization that connects highly skilled professionals with leading companies across multiple industries. The company focuses on delivering top talent for advanced technical, engineering, analytics, and artificial intelligence roles while supporting organizations in building innovative and scalable business solutions.
About the Role
We are seeking a highly skilled Staff Applied Machine Learning Scientist to join a fast-growing AI and data science team. In this role, you will design, develop, and deploy advanced machine learning models and large-scale AI systems that solve complex business challenges. You will work closely with cross-functional teams to build production-grade ML solutions, optimize data pipelines, and develop innovative products powered by deep learning and Large Language Models (LLMs).
This is a fully remote opportunity ideal for candidates passionate about AI innovation, cloud technologies, scalable systems, and data-driven decision-making.
Skills Required
- Machine Learning and Deep Learning
- Large Language Models (LLMs)
- PyTorch
- Apache Spark
- SQL / HiveQL
- AWS, Azure, or Databricks
- Data Structures and Algorithms
- Backend Microservices Development
- gRPC or GraphQL APIs
- CI/CD Pipelines
- Azure DevOps or CircleCI
- A/B Testing and Experimentation
- Statistical Modeling and Optimization
- Cloud-Based Data Processing
- Marketing or Advertising Industry ML Applications
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Roles & Responsibilities
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- Design and implement advanced machine learning models and AI systems.
- Develop scalable data processing and modeling pipelines using distributed computing frameworks.
- Build and deploy production-ready backend services for ML model serving.
- Apply deep learning and LLM technologies to solve real-world business problems.
- Collaborate with engineering, analytics, and product teams to improve AI-driven products.
- Design experimentation frameworks and evaluate ML model performance through statistical analysis.
- Optimize cloud-based ML infrastructure and deployment pipelines.
- Maintain high-quality coding standards and contribute to scalable architecture decisions.
Equal Opportunity Employer
The company is an Equal Opportunity Employer and is committed to creating an inclusive workplace for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability status, veteran status, or any other protected characteristic under applicable law.
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