JOB SUMMARY

As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications s. 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.

ESSENTIAL FUNCTIONS

• 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.
• 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.

SUPERVISORY RESPONSIBILITIES

This position may have direct reports depending on the project and organizational structure.

QUALIFICATIONS

• 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.