Senior Machine Learning Engineer

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Broadridge is hiring! We are looking for a Senior Machine Learning Engineer to join our Investor Communication Solutions division. This person will be responsible for development and support of multiple strategic application. We are seeking someone to craft technical solutions for software development projects and lead technical delivery and project team through the SDLC.

Are you interested in an impacting role where the results of your contribution will have a significant influence on the business and be highly visible to company leadership? Then this might be the right opportunity for you!

Job Responsibilities:

• Delivers high quality software, timely, following Broadridge SDLC processes.
• ???Works within and across teams to craft, develop, test, implement, and support technical solutions across a full stack of development tools and technologies.
• Ensures the best approach for technical & security practices along with Broadridge standards are adhered to on continuous basis.
• Provides technical leadership to developers including data design, coding, testing, technical design, development, and troubleshooting.
• Handles technical implementation, code quality and overall efficiency of the development team
• Owns, communicates and sets expectations of day to day work of the developers (off-shore and on-shore)
• Plays a lead role in meetings between Business, QA, and Infrastructure teams to provide technical leadership/mentorship and help coordinate to remove impediments/roadblocks
• Provides estimates of all priority and non-priority projects along with recommended scope or schedule changes based on capacity and unforeseen challenges
• Identifies potential issues while staying focused on identified priorities.
• Assists in the hiring process to hire top talent and in the performance reviews of team members, identifying areas of improvement.
• Encourage, mentors and trains development team on modern technologies continuously.
• Works with senior leaders to design solutions with technical vision, maintainability and total cost of ownership in mind.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
• 8+ years of total software development experience and demonstrated ability with Data platform implementation
• Hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations
• Hands on experience with AWS technology stack and AWS AI stack including AWS Sagemaker & MLOps.
• Experience in Python and python frameworks (Django, Flask, Bottle), via various IDEs like PyTorch, Jupyter, Java/.Net, and other open-source libraries, building and crafting REST APIs, etc.
• DevOps / Deployment automation using Terraform, Jenkins
• Knowledge of software design patterns/architecture like Micro-services, Layered pattern, etc.
• Hardworking teammate who understands and respects personal & cultural differences
• Ability to work under stress and be highly adaptable
• Strong written and communications skills for collaboration with various teams and upper management
• Proven analytical skills, especially in area of translating business requirements into technical design – with a continuous focus on aligning technical roadmap with the immediate and long-term Business strategy
• Able to adapt and adopt change and support business strategy and vision.

Preferred Qualifications (not required):

• Bachelors/Masters or PhD in Computer Science, Physics, Engineering or Math.
• Demonstrable experience working on large-scale data science/data analytics projects
• Experience Implementing AWS services in a variety of distributed computing, enterprise environments.
• Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
• Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.
• Demonstrated ability developing cloud software services and an understanding of design for scalability, performance, and reliability.
• Ability to prototype and evaluate applications and interaction methodologies.

Job Req. ID: JR1022587