Lighthouse Canton

About us :

LC Adroit Vantage, a Wealth Tech firm, founded in February 2021 with a mission around Setting Standards for Wealth-Tech.LC Adroit Vantage aims to accomplish this mission by digitizing major touchpoints within Wealth Management client journey through AV Suite - all encompassing & fully integrated Platform as a Service (PaaS), that enriches wholesome investment management capabilities. Whether it is prospecting, onboarding, building portfolios or managing trades, it does it all. In essence, AV Suite is an integration of five complementary Software as a Service (SaaS) products, which can be accessed as stand-alone core DNA is Design Thinking and Human-centered design with agility to iterate quickly in-order to stay relevant to ever evolving client Needs. We're revolutionizing the industry, aspiring to be the Amazon of the investment :

- Collaborate with domain experts and stakeholders to understand business challenges and requirements to be supported by NLP/ML.

- Develop and implement machine learning models and algorithms using NLP techniques, such as text classification, sentiment analysis, named entity recognition, and topic modeling, to solve specific business problems.

- Perform data analysis and pre-processing tasks, including data cleaning, feature engineering, and data transformation, to prepare data for machine learning models.

- Evaluate and optimize the performance of machine learning models using appropriate metrics and

techniques, and iterate on model design and implementation as needed.

- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate machine learning models into our products and services.

- Stay up-to-date with the latest advancements in machine learning, NLP, and related technologies, and proactively apply them to solve business challenges.

- Ensure compliance with data privacy and security requirements throughout the machine learning development and Requirements :

- Bachelor's or masters degree in computer science, Machine Learning, Artificial Intelligence, or a related field.

- More than 5 years of experience in machine learning, natural language processing, and related technologies, with a strong understanding of NLP concepts and techniques.

- Hands-on experience in developing and implementing machine learning models using libraries such as TensorFlow, Keras, PyTorch, or scikit-learn.

- Proficiency in programming languages such as Python or Java, and experience with data manipulation and analysis using tools such as Pandas, NumPy, or SQL.

- Strong understanding of statistical concepts and machine learning algorithms, including supervised and unsupervised learning, feature selection, model evaluation, and model deployment.

- Experience with NLP techniques, such as text preprocessing, tokenization, POS tagging, word embeddings, and sentiment analysis.

- Strong problem-solving skills, ability to work independently and in a team, and excellent communication skills.

- Familiarity with cloud-based machine learning platforms, such as AWS, Google Cloud, or Azure, is a plus.

- Experience in working with large-scale datasets and big data technologies, such as Hadoop or Spark, is a plus.