Hybrid
Full-Time
Bengaluru, Karnataka
India
Skills
Large Language Models (LLM)
Algorithm Development
Machine Learning
Data Science
Statistics
Generative AI Tools
About the Role
Summary
PlanSource is a high-growth software company headquartered in Orlando, Florida (US) with offices in Salt Lake City (US) and Bengaluru (Bangalore), India. Our software has helped the various stakeholders in the Benefits Administration space in managing how benefits are bought, sold, managed, and consumed, and continues to transform the industry with innovative solutions. 7.5 million consumers receive their benefits through the PlanSource platform, which provides flexible and intuitive software and services for benefits administration.
About the Senior Machine Learning Engineer Position
We are seeking a highly skilled and motivated Data Scientist specializing in Generative AI to join our team. This is a highly visible role that will be responsible for supporting new AI initiatives, solutions and implementation on our existing BenAdmin Platform. The ideal candidate should possess in-depth knowledge of OpenAI, Lang Chain and Open LLM frameworks and be proficient in creating AI models and documents to Vectors etc. The ML/AI responsibility includes sourcing and training data that is accurate and reliable, and models are well-trained and reliably deployed. They must be self-motivated and comfortable supporting the needs of multiple teams, systems, and products.
Responsibilities include (Not limited to) :
Architect AI/ML systems as well as integrating AI/ML features into business apps
Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc
Develop end-to-end NLP Deep models
Assist in Conversational AI, Information retrieval, Knowledge Management
Research and implement appropriate ML algorithms and tools
Build and manage Supervised and Unsupervised ML algorithms
Select appropriate datasets and data representation methods
Perform statistical analysis and fine-tuning using test results
Utilise AWS Lambda, EC2 Services to build solution and Provide code deployments
Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs).
About You
As a Senior Machine Learning Engineer, you will possess the following essential strengths, skills, and competencies:
Educational Background: Bachelor’s degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline.
Experience: 6+ years in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI.
Problem-Solving Skills: Strong emphasis on product development.
Communication Skills: Excellent written and oral communication, and strong interpersonal skills.
Independence: Ability to thrive in a fast-paced environment and work independently.
Analytical Skills: Experience performing root cause analysis to answer specific business questions.
Preferred Skills:
Programming Languages: Familiarity with Scala (preferred), Python & SQL
Predictive Modelling and Analysis: Experience in machine learning and algorithm development.
Mathematical Skills: Solid foundation in statistics, calculus, and linear algebra.
Model Deployment: Experience productizing and deploying machine learning models.
Data Warehousing: Experience with data warehouse tools (Snowflake preferred).
Data Pipeline Management: Experience with data pipeline and workflow management tools (Airflow preferred).
Engineering: Experience in Prompt engineering with LLM Development using Langchain. Semantic Kernel, Open Source/ API based LLMs or similar
API Development: Experience building scalable APIs in Python (using FastAPI is a plus).
Data Processing: Working knowledge of data processing packages (e.g., numpy, scipy, pandas).
What We Offer
Great compensation package, including a full suite of benefits.
The chance to work for a fast-growing, established tech company, and work side-by-side with a dynamic team of talented professionals.
Fast-paced environment with big goals and the opportunity to make a big impact.
Top five reasons to come to PlanSource:
#5: Join the Vista Family. In March 2019, Vista Equity Partners acquired PlanSource, marking a new phase of growth. Vista’s portfolio of technology and software companies collectively make up the 4th largest software ecosystem in the world with “intraportfolio” career advancement opportunities and have structures in place to leverage shared learnings from across the ecosystem.
#4: PlanSource has the right product. Show off our sophisticated cloud-based technology that meets the needs of even the most complex benefit programs.
#3: Success is rewarded. With more than just a pat on the back, your success is recognized and rewarded. We take care of our employees in every way we can, with comprehensive benefits, employee recognitions, a work hard and play hard environment, and a commitment to wellbeing.
#2: You can grow and develop professionally. PlanSource has a great track record of internal promotions and also filling open positions within the company.
#1: PlanSource is the right company and we are on a roll. Be part of a winning team in a high-growth technology company that is well funded and values its employees and their families – Thousands of employers and millions of consumers use the PlanSource Platform for benefits shopping, enrollment, billing and ongoing administration.
PlanSource is a high-growth software company headquartered in Orlando, Florida (US) with offices in Salt Lake City (US) and Bengaluru (Bangalore), India. Our software has helped the various stakeholders in the Benefits Administration space in managing how benefits are bought, sold, managed, and consumed, and continues to transform the industry with innovative solutions. 7.5 million consumers receive their benefits through the PlanSource platform, which provides flexible and intuitive software and services for benefits administration.
About the Senior Machine Learning Engineer Position
We are seeking a highly skilled and motivated Data Scientist specializing in Generative AI to join our team. This is a highly visible role that will be responsible for supporting new AI initiatives, solutions and implementation on our existing BenAdmin Platform. The ideal candidate should possess in-depth knowledge of OpenAI, Lang Chain and Open LLM frameworks and be proficient in creating AI models and documents to Vectors etc. The ML/AI responsibility includes sourcing and training data that is accurate and reliable, and models are well-trained and reliably deployed. They must be self-motivated and comfortable supporting the needs of multiple teams, systems, and products.
Responsibilities include (Not limited to) :
Architect AI/ML systems as well as integrating AI/ML features into business apps
Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc
Develop end-to-end NLP Deep models
Assist in Conversational AI, Information retrieval, Knowledge Management
Research and implement appropriate ML algorithms and tools
Build and manage Supervised and Unsupervised ML algorithms
Select appropriate datasets and data representation methods
Perform statistical analysis and fine-tuning using test results
Utilise AWS Lambda, EC2 Services to build solution and Provide code deployments
Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs).
About You
As a Senior Machine Learning Engineer, you will possess the following essential strengths, skills, and competencies:
Educational Background: Bachelor’s degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline.
Experience: 6+ years in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI.
Problem-Solving Skills: Strong emphasis on product development.
Communication Skills: Excellent written and oral communication, and strong interpersonal skills.
Independence: Ability to thrive in a fast-paced environment and work independently.
Analytical Skills: Experience performing root cause analysis to answer specific business questions.
Preferred Skills:
Programming Languages: Familiarity with Scala (preferred), Python & SQL
Predictive Modelling and Analysis: Experience in machine learning and algorithm development.
Mathematical Skills: Solid foundation in statistics, calculus, and linear algebra.
Model Deployment: Experience productizing and deploying machine learning models.
Data Warehousing: Experience with data warehouse tools (Snowflake preferred).
Data Pipeline Management: Experience with data pipeline and workflow management tools (Airflow preferred).
Engineering: Experience in Prompt engineering with LLM Development using Langchain. Semantic Kernel, Open Source/ API based LLMs or similar
API Development: Experience building scalable APIs in Python (using FastAPI is a plus).
Data Processing: Working knowledge of data processing packages (e.g., numpy, scipy, pandas).
What We Offer
Great compensation package, including a full suite of benefits.
The chance to work for a fast-growing, established tech company, and work side-by-side with a dynamic team of talented professionals.
Fast-paced environment with big goals and the opportunity to make a big impact.
Top five reasons to come to PlanSource:
#5: Join the Vista Family. In March 2019, Vista Equity Partners acquired PlanSource, marking a new phase of growth. Vista’s portfolio of technology and software companies collectively make up the 4th largest software ecosystem in the world with “intraportfolio” career advancement opportunities and have structures in place to leverage shared learnings from across the ecosystem.
#4: PlanSource has the right product. Show off our sophisticated cloud-based technology that meets the needs of even the most complex benefit programs.
#3: Success is rewarded. With more than just a pat on the back, your success is recognized and rewarded. We take care of our employees in every way we can, with comprehensive benefits, employee recognitions, a work hard and play hard environment, and a commitment to wellbeing.
#2: You can grow and develop professionally. PlanSource has a great track record of internal promotions and also filling open positions within the company.
#1: PlanSource is the right company and we are on a roll. Be part of a winning team in a high-growth technology company that is well funded and values its employees and their families – Thousands of employers and millions of consumers use the PlanSource Platform for benefits shopping, enrollment, billing and ongoing administration.
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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