Senior Machine Learning Engineer
4 days ago
The Friedkin Group is a leading organization that values innovation and excellence in all aspects of its business. As a Senior Machine Learning Engineer, you will be part of a dynamic team that drives the development and deployment of cutting-edge AI/ML solutions across various business applications.
Job SummaryWe are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will have 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 to develop and deploy state-of-the-art AI services and analytic applications that support the needs of our business.
Key Responsibilities- 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.
- 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.
- Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
- Develop User Interfaces (UI) that support business exploration and interaction with AI/ML models, scenarios, and planning.
- Work with business applications teams to code AI/ML-intensive software and algorithms.
- Build services for driving intelligent decisions, interacting with machine learning models.
- Conduct research and stay updated on the latest advancements in AI/ML technology and tools.
- Analyze and optimize system performance to ensure efficient and effective use of resources.
- Deliver features to production while considering functional and non-functional requirements, including security, latency, disaster recovery, and performance.
- Participate in a Scrum team to deliver high-quality software to the business.
- 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 common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, 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.
- Proficient in building, tracking, and communicating plans within agile processes.
- Capable of coaching/mentoring individuals and teams.
The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required daily to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the workday; and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.
Work EnvironmentThe work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. While the job is generally performed in an office environment, the associate is occasionally exposed to wet and/or humid conditions, areas in which moving mechanical parts, fumes, toxic or caustic chemicals are present, and outside weather conditions. The noise level in the office environment is typically quiet, but the associate may be occasionally exposed to loud noise levels.
Travel RequirementsMinimal travel is required for this position (up to 20% of the time and on a domestic basis).
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