Sr. Software Engineer

Your OpportunityWe help our clients plan for their future and they are passionate about the tools and experiences we provide. We collaborate with user experience and design, business and technology partners across the enterprise to build software experiences our users' are passionate about. What you are good at

Job Description Analyze problem domains and determine overall architecture for natural language machine processing solutions. Own the Machine Learning research and engineering efforts. Determine data type, format, and quantity requirements. Select appropriate regression and/or machine learning models to apply. Create and deliver working, scalable, production-ready machine learning solutions. Define Machine Learning architecture best practices and keep up to date with the evolving open source frameworks. Conduct feature engineering to improve model performance on key business metrics. Propose solutions for analyzing various datasets towards a given goal. Prototype algorithms in Python, R, or other high-level language. Gather, and analyze large scale data sets from multiple sources. You will be writing services exposing functionality and business logic using RESTful interfaces. You will be creating data pipelines to ingest data from multiple sources, perform ETL (Extract, Transform, Load) operations. Experience with building, breaking, and fixing production data pipelines. Experience with creating/using end to end ML workflow and platform for model deployment. Participate in discussions with other Data Scientists and Machine Learning engineers and document work for system designs, API specifications, work requirements and architectures. Present results to business and engineering teams with findings. Navigate and support Incident and Change Management processes with an end-to-end understanding of the system flows and technology landscape. Constantly update knowledge repository, and ensuring seamless availability and accessibility of information regarding in context of support related activities or issues. Drive and support cross-functional large-scale production releases and rollouts. Provide technical oversight for junior team members and interns on day-to-day activities. What you have

Requirements: Master's degree or foreign equivalent in Machine Learning, Data Science, Computer Science, Information Technology, Information Technology Management or related field and three (3) years of experience in the job offered or related occupation.

Skills: Experience and/or education must include:

Hive, Pig, Spark, HBase, Hadoop, SQL Server, Oracle DB and/or Git (Github / Bitbucket);

CI/CD tools (Atlassian or equivalent);

Java, Python, Spark, R, SQL, Scala, Unix Shell;

On-premise to Cloud integration;

Project Management Methodologies including Waterfall and Agile.

Why work for us?Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a central role in reinventing a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth.Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home-today and in the future. Explore further .Schwab is committed to building a diverse and inclusive workplace where everyone feels valued. As an Equal Opportunity Employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. Please click here to see the policy.Schwab is an affirmative action employer, focused on advancing women, racial and ethnic minorities, veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at or call.TD Ameritrade, a subsidiary of Charles Schwab, is an Equal Opportunity Employer. At TD Ameritrade we believe People Matter. We value diversity and believe that it goes beyond all protected classes, thoughts, ideas, and perspectives.