AI/ML - NLP Engineer - Vice President

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services approximately $148 billion in global client assets invested in 1,155 funds, as of September 2022.

iCapital has been named to the Forbes Fintech 50 for five consecutive years (2018 – 2022); a back-to-back selection by Forbes to its list of Best Startup Employers; and a two-time winner of MMI/Barron’s Solutions Provider award (See link below).

Job Description  

iCapital's AI/ML team is developing cutting edge solutions to establish a unique competitive edge for the firm. As a senior AI/ML Engineer on our team, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications. This would involve working with large datasets, selecting appropriate algorithms and techniques, training or fine-tuning models to achieve optimal performance, and deploying and monitoring model performance in production. You will be working in a collaborative team environment across product management, data engineering, and software engineering teams. If you are passionate about leveraging machine learning techniques to drive innovation and have a strong background in developing scalable solutions, we would love to hear from you. 

 Responsibilities 

• Design, develop, train, and deploy AI/ML models to solve business problems through a full development and production cycle in the FinTech domain. 
• Evaluate and compare the performance of different AI/ML algorithms and models. 
• Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability. 
• Ensure the reliability, robustness, and scalability of machine learning models in production environments. 
• Collaborate with cross-functional teams, including product managers and full stack engineers, to deliver scalable machine learning solutions. 
• Understand business requirements, communicate with stakeholders, and mentor junior team members. 

Qualifications 

• 4-6+ (mid-career) years of experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields. 
• Advanced degree (Masters, PhD) in a STEM or quantitative field (AI/ML/DS, mathematics, computer science, physics, statistics, etc.). 
• Proven ability to deliver NLP projects in a production environment. Experience building, training, deploying, and supporting models through a full development lifecycle. 
• Solid understanding of machine learning and statistical concepts and techniques, as well as knowledge of data preprocessing, feature engineering, and model evaluation. 
• Strong knowledge of natural language understanding, question answering, summarization, tokenization, and other NLP tasks 
• Strong programming experience in Python using data science libraries and frameworks such as PyTorch, Tensorflow, Tesseract, and scikit-learn, and strong understanding of software engineering principles and best practices. 
• Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation. 
• Familiarity with cloud platforms for scalable machine learning, including AWS, GCP, and/or Azure. 
• Experience with database integration principles and practices, including SQL and NoSQL databases and data warehouse solutions (such as Snowflake).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment. 
• Strong communication skills and the ability to effectively articulate technical concepts to both technical and non-technical stakeholders. 

Nice to Haves: 

• Experience with data visualization tools and techniques to effectively communicate and present findings. 
• Publications, conference talks, and/or patents in AI/ML/DS or related fields 
• Experience with data transformation tool (such as dbt) and orchestration tool (such as Airflow). 
• Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc. 
• Experience working in Finance or Financial Technology (FinTech). Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications. 
• Experience working with Alternative Investments products highly preferred. 

The base salary range for this role is $150,000 to $200,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).  

We believe the best ideas and innovation happen when we are together. We offer most employees the flexibility to work in the office three or four days. Every department has different needs, and some positions will be designated in-office jobs, based on their function. 

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For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ 

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.