Machine Learning (ML)
Data ScienceStaff Data Scientist
Remote /Bangalore/Mumbai
8+ years
WHO WE ARE:
TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge,
Hamilton Lane, Franklin T empleton, Motive Partners and a who’s who of the financial service industry.
We are creating engaging wealth experiences to better financial lives through AI and investment
intelligence-powered personalization. We are working to change the world of wealth in ways that
personalization has changed the world of movies, music and more but with the added responsibility of
delivering better wealth outcomes.
We use design and behavioral thinking to enable engaging experiences through software and
application programming interfaces (APIs). We use investment science and intelligence to build
algorithmic engines inside the software and APIs to enable better investor outcomes.
In a world where every individual is unique, we match them to financial advice and investments with a
recognition of their distinct needs and goals across our investment marketplace and our advice and
planning divisions.
OUR VALUES: Go with your GUT
● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos
aside to find our genius zones. With self-awareness and integrity we strive to be the best we can
possibly be. No excuses.
●Understanding through Listening and Speaking the Truth. We value transparency. We communicate
with radical candor, authenticity and precision to create a shared understanding. We challenge, but
once a decision is made, commit fully.
●I Win for T eamwin. We believe in staying within our genius zones to succeed and we take full
ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win
together.
Key responsibilities:
● Prototype Development: Build and validate prototypes by designing datasets and performing
fine-tuning to demonstrate model feasibility and effectiveness.
● Model Fine-Tuning: Lead the fine-tuning process for large language models, leveraging both
open-source solutions (e.g., LORA, LLAMA 2/3) and proprietary models like GPT 3.5/4.0 to
address specific business needs.
● Retrieval-Augmented Generation (RAG): Design and optimize advanced RAG systems,
implementing efficient methods for chunking, indexing, and managing complex document
formats, such as PDFs.
● Agentic Workflows: Develop and apply agentic workflows to create advanced conversation
agents tailored for various use cases.
● Prompt Engineering: Craft effective prompts to enhance the performance of large language
models, such as GPT-4 and Cloud 3, ensuring solutions align with business objectives.
● Inference Frameworks: Utilize inference frameworks like VAM and advanced pipelines to
improve scalability and streamline the deployment of machine learning models.● ML Model Deployment: Lead the deployment and productionization of machine learning
models, collaborating closely with software engineers to ensure seamless integration into
products.
● Conversational Experiences: Work with cross-functional teams, including design and product,
to craft engaging and personalized conversational AI experiences for end-users.
● Independent Execution: Demonstrate the ability to independently manage projects, deliver
features, and achieve outcomes in a dynamic, fast-paced startup environment.
● Data Personalization: Leverage and analyze existing datasets to enhance model performance
and create tailored user experiences, fine-tuning models to align with unique business cases.
● Startup Mindset: T ake initiative in setting up workflows, tools, and systems from scratch,
showcasing flexibility and adaptability in a growing organization.
● Leadership and Collaboration: Act as a leader and independent contributor, effectively
collaborating across diverse teams while managing evolving project priorities.
● Research and Innovation: Drive innovative research aligned with business goals, exploring
advancements in Natural Language Understanding (NLU) and conversational AI applications.
● Knowledge Sharing: Publish and present groundbreaking research in top-tier journals and
conferences, contributing to the broader scientific community and enhancing organizational
credibility.
Requirements:
● 8+ years of experience
● Experience working with LLMs and Generative AI
● Experience building conversational bots
● Experience 2+ Years fine tuning models
● Experience using RAG base approaches
● Understanding of financial concepts and investing would be a big plus but not required
TIFIN is proud to be an equal-opportunity workplace and values the multitude of talents and
perspectives that a diverse workforce brings. All qualified applicants will receive consideration for
employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender
identity, disability, or protected veteran status.
Subodh Popalwar
Software Engineer, Memorres
About TIFIN FINTECH
About
Location: Bangalore
Company: TIFIN Give
About Us:
TIFIN Give is an early growth-stage fintech company offering a modern, tech-driven Donor
Advised Fund to empower charitable giving. We have a lean, hungry team building a
feature-rich product and automated operations platform, through which we are servicing multiple
enterprise clients. Our roadmap and deal pipeline is full to the bursting, and we’re looking for
someone to join our team in this exciting stage. A s we continue to scale, we’re looking for a Senior Delivery Manager to lead our engineering teams and drive the successful delivery of our ambitious product roadmap.
Role Overview:
We are seeking an experienced Delivery Manager & Scrum Master to join our dynamic team. In this role, you will manage and grow our engineering teams, ensuring the successful delivery of high-quality software solutions. You will work closely with product owners, the product team, and other key stakeholders to refine and manage the development pipeline, evolve engineering processes, and contribute to the overall success of our product delivery.
You will play a critical role in managing our sprints, owning our release process, and defining robust, effective practices tailored to our evolving needs. If you have a strong background on larger teams, particularly in building
enterprise software within the financial industry, and a proven track record with well-defined
processes and quality control, we want you to bring that expertise, adapt it to our context, and
help us achieve operational excellence.
We are looking for someone to come in with well-formed, proven processes that have been
shown to be effective in delivering enterprise-grade software at a rapid pace required in a nimble startup. We may service large enterprises, but we don’t execute like one. An ideal candidate would own their processes,
not be afraid to keep others accountable, and have a relentless, user-focused approach to quality
and delivery.
Key Responsibilities:
• Team Leadership: Lead, mentor, and grow engineering teams from 7 to 20+ members, fostering a culture of collaboration, innovation, and continuous improvement.
• Agile Methodologies: Champion and implement agile methodologies, including Scrum and Kanban, to optimize team efficiency and delivery timelines.
• Software Development Collaboration: Leverage your prior experience in software development to bridge communication between engineering and product teams, ensuring technical feasibility and alignment with business objectives.
• Product Collaboration: Work closely with product owners and the product team to frequently review the product backlog, prioritize features, and ensure that engineering efforts align with the strategic goals of the company.
• Process Improvement: Drive the evolution of engineering management processes, implementing more structured frameworks that enhance productivity, quality, and scalability as the team grows.
• Quality Assurance: Oversee QA processes, including developing testing strategies, managing QA resources, and occasionally taking on QA/UAT testing tasks to ensure product quality.
• Stakeholder Management: Act as a key point of contact between engineering, product, and other business units, ensuring clear communication, expectation management, and alignment across the organization.
Qualifications:
• Experience: 8+ years of experience in software delivery or engineering management roles, with a proven track record in growing engineering teams within a startup environment.
• Industry Knowledge: Strong background in the fintech industry, with an understanding of the challenges and opportunities unique to this sector.
• Agile Expertise: Deep understanding of agile methodologies, including Scrum and Kanban, and experience in implementing and optimizing these frameworks within teams.
• Technical Background: Prior hands-on experience in software development, with the ability to understand technical challenges and solutions, bridging the gap between engineering and product teams.
• Leadership: Demonstrated experience leading engineering teams through periods of growth, scaling teams from 7 to 20+ members while maintaining high morale and productivity.
• Process Improvement: Proven ability to evolve and implement engineering processes that enhance team performance and product delivery.
• QA Involvement: Experience in managing QA processes, with a willingness to engage in hands-on QA/UAT testing as needed.
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Follow CutshortSubodh Popalwar
Software Engineer, Memorres