AI/ML Engineer

Banyan Software provides the best permanent home for successful enterprise software companies, their employees, and customers. We are on a mission to acquire, build and grow great enterprise software businesses all over the world that have dominant positions in niche vertical markets. In recent years, Banyan was named the #1 fastest-growing private software company in the US on the Inc. 5000 and amongst the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Founded in 2016 with a permanent capital base setup to preserve the legacy of founders, Banyan focuses on a buy and hold for life strategy for growing software companies that serve specialized vertical markets.

Job Profile:

Banyan is seeking a skilled AI/ML Engineer to join our Tech & Data Strategy team in Chennai. The ideal candidate excels in Python, has hands-on language model experience, and a strong personal interest in AI, staying up to date with the latest developments. This position is perfect for those passionate about AI and using it to evolve enterprise processes, while being adept at navigating complex challenges and skilled in integrating applications within a collaborative team setting. You’ll be responsible for architecting end-to-end ML solutions—building RAG-based pipelines, managing vector stores, tuning retrieval workflows, and integrating with downstream prompts. Working closely with the onshore team in Canada/US, you will become an analytical change agent and have broad exposure to our business as you help us identify and roll out AI solutions to accelerate our processes across M&A and Business Development.  If you're driven by data, thrive on overcoming challenges, and are excited by the idea of working in a startup-like environment that values fresh ideas, we invite you to join Banyan in Chennai.

 Responsibilities:

1. AI Strategy and Implementation: Design, develop and execute AI strategies for our BD and M&A teams at scale using advanced language models.
2. Language Model Expertise: Utilize hands-on experience with GPTs and other language models to drive AI initiatives.
3. Data Analysis and Prediction: Analyze data to make accurate predictions and improve decision-making processes.
4. Custom AI Applications: Develop and deploy bespoke AI applications leveraging Open AI APIs—designing prompts, managing authentication, ensuring secure integrations, and optimizing performance.
5. Integrations: Seamlessly integrate AI solutions with our existing technology stack to access and analyze CRM data.
6. Optimization: Monitor system performance continuously, identifying and executing optimizations to enhance overall effectiveness.
7. ML Ops & CI/CD: Build, maintain and automate end-to-end model training, testing, deployment and versioning pipelines.
8. Monitoring & Governance: Implement monitoring, alerting and bias/fairness checks to ensure models stay accurate, compliant and performant in production.
9. Collaboration and Innovation: Work collaboratively within the team, contributing to innovative solutions and fostering a culture of continuous improvement.

Qualifications for Success

1. Strong Understanding of Natural Language Processing (NLP): Proficiency in NLP concepts and techniques, including text generation, sentiment analysis, and entity recognition.
2. Technical Proficiency in AI and Machine Learning: Knowledge of machine learning algorithms, model training, and fine-tuning, especially in the context of language models.
3. Experience with LLM APIs: Proven hands-on experience integrating and using GPT-style models and APIs—whether from Open AI, Anthropic, Google, or similar vendors—in a production environment.
4. Experience with RAG Pipelines: Architecting and implementing end-to-end RAG workflows, including vector store management, embedding model tuning, document retrieval orchestration, and seamless integration of retrieved context into downstream prompts.
5. Programming Skills: Strong proficiency in Python and experience with AI frameworks and libraries.
6. Creative Thinking: Ability to craft diverse and innovative prompts that elicit desired responses from AI models.
7. Attention to Detail: Keen attention to language specifics, including grammar, syntax, and semantic nuances, to create precise and effective prompts.
8. Problem-Solving Skills: Capability to troubleshoot and optimize prompts to improve model performance and address issues.
9. Domain Knowledge: Ability to design accurate, relevant prompts grounded in an understanding of financial data, modeling, company performance, and research—supporting both M&A and BD workflows.
10. Analytical Skills: Ability to analyze model outputs and feedback to iteratively improve prompt quality and effectiveness.
11. Communication Skills: Strong written and verbal communication skills to collaborate with team members and document prompt engineering processes.
12. Educational Background: A bachelor's degree in computer science, data science, or a related field is preferred. Experience with financial data is a plus

Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.