Lead NLP Engineer, Machine Learning

Key Skills

Aartificial intelligence, Apache Kafka, AWS, Data Modeling, Effective communication skills, Elasticsearch, Java Programming, Keras software library, Machine learning techniques, Natural Language Processing (NLP), Neo4J, NumPy, Pandas, PyMongo, Python Programming, PyTorch, R Programming, Scala Programming, SciPy, SPARK Programming, TensorFlow, XGBoost

Job Description

Essential Duties and Responsibilities

• Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Use programming languages like Python, Scala, or Java
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Advocate for software and machine learning engineering best practices
• Function as a technical lead and mentor junior engineering talent

Qualifications

Knowledge of

• You have at least one core programming expertise, such as python (NumPy, SciPy, Pandas) or R
• Experience with advanced machine learning methods in NLP
• Strong statistical knowledge, intuition, and experience modeling real data
• Ability to communicate complicated methods and results to a broad, often non-technical audience
• Demonstrated effective coding, documentation, and communication habits
• Experience in Financial Services or Wealth Management industries strongly preferred. 

Skill in

• Proven NLP machine learning skills, including Transformer, BERT, k-shot learning, XGBoost, TensorFlow, PyTorch, Keras, Elasticsearch, etc.
• Experience in researching, evaluating and implementing different algorithms and tools for NLP tasks
• Knowledge in development of statistical and machine learning models, including model validation, monitoring, explainability, and interpretability
• Experience in AWS ecosystem Spark, Kafka, Mongo, Neo4j are plus.

Education/Previous Experience

• Minimum of a Bachelor’s degree in Computer Science, MIS or related degree and five (5) years of relevant experience or combination or education, experience and training.
• At least 4 years of experience designing and building data-intensive solutions using distributed computing
• At least 4 years of experience programming with Python, Scala, or Java
• At least 2 years of experience building, scaling, and optimizing ML systems
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform is preferred.

Highly Desired:

• Strong AI Machine Learning background, with NLP focus

• Identify, research, prototype, and build predictive products
• Build cutting-edge models for understanding vast amounts of textual data
• Write quality production code
• Write tests to ensure ML system reliability
• Work closely with DevOps software engineers to launch systems
• Guide and mentor team members and help educate the business stakeholders

Licenses/Certifications

• None required

Raymond James Guiding Behaviors

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view. 

We expect our associates at all levels to:

• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results that matter
• Contribute to the continuous evolution of the firm