This is a Machine Learning Engineer role in Bank of America Conversational Commerce development team in Plano TX. Team builds next generation AI and Search platforms for the bank, enabling smart virtual assistants across multiple channels and platforms. This position requires candidate to be well versed with various machine learning algorithms and NLP techniques. Role offers an opportunity to work with seasoned architects, PhDs in Machine Learning and NLP. Several of the team members have been granted multiple patents in the space. Candidate should be able to work independently and take ownership of the delivery. Candidate must possess passion for clean code, ready to jump in and solve complex problems, be able to mentor and team members, and perform thorough code reviews.
Required Qualifications:
Bachelor or Master's Degree in Computer Science or related field
2+ years of hands on experience working on Machine Learning and NLP
2+ of Java and Python development
Good interpersonal communication skills for tech and business conversations
Good analytical skills to break down requirements, solve complex problems
Desired qualifications:
Background in mathematics or statistics
Experience in design, feature engineering, data mining, embeddings for Machine Learning applications
Experience in data analysis and data presentation
Experience in schema design and data modeling
Experience working on high volume applications
Experience working on Java based applications
Experience in writing white papers and technical reports
Experience in performance tuning with good understanding of JVM internals
Experience in multithreaded programming
Experience with NoSQL databases like Cassandra
Experience with open source search engines like SOLR, elasticsearch
Experience in distributed caching frameworks like hazelcast, ignite, redis
Proven task management and leadership skills
Experience working in agile teams
Prior open source contributions
*
Posting Date: 06/12/2019
Location: Plano, TX, BUILDING A, 7105 CORPORATE DR, - United States
Travel: Yes, 10% of the time
Full / Part-time: Full time
Hours Per Week: 40
Shift: 1st shift
Let your dream job find you.
Sign up to start matching with top companies. It’s fast and free.