- Work closely with product managers to understand business requirements and translate them into technical solutions.
- Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications.
- Collaborate with cross-functional teams to design, develop, and maintain highly complex AI/ML systems.
- Develop and implement AI/ML interfaces, services, and analytic applications to support the company's initiatives and projects.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance. This may involve containerization, API development, and integration with existing systems.
- Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. This may involve parallelization, distributed computing, and resource management.
- Develop User Interfaces (UI) which support the business exploration and interaction with AI/ML models, scenarios, and planning.
- Work will business applications teams to code AI/ML intensive software and algorithms.
- Build services for driving intelligent decisions, interacting with machine learning models.
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology or other relevant technical discipline
- 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
- Strong programming skills in Python and Java; experience with Machine Learning libraries and frameworks.
- Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
- Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
- Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred.
- Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms.
- Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
- Experience creating, documenting, and communicating software designs for complex products.
- Skilled with domain-driven, event-driven, and microservice architectures.
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Senior Machine Learning Engineer - Crockett, United States - Vaco
Description
***Senior Machine Learning Engineer***
To be considered for an interview, please make sure your application is full in line with the job specs as found below.***Onsite in Houston, TX***
About the role:
As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. You will drive the development and deployment of state-of-the-art AI services and analytic applications that support the needs of our business. We are looking for a driven and talented individual who has a strong background in software engineering and a deep understanding of AI/ML frameworks. You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
Responsibilities:
Minimum Qualifications:
