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Senior Data Scientist

2 months ago

Houston, Texas, United States Harnham Full time
Job Title: Senior Machine Learning Engineer

About the Role:

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Harnham. As a key member of our data science team, you will be responsible for designing, developing, and deploying AI/ML solutions across a wide range of business applications.

Key Responsibilities:

  • Collaborate with product managers to understand business requirements and translate them into technical solutions.
  • Work closely 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) which support the 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.
  • Take an active part in a Scrum team to deliver high quality software to the business.

Requirements:

  • 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.