Account-based Marketing Specialist

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

The candidates should have:

·  Strong knowledge on Windows and Linux OS

·   Experience working in Version Control Systems like git

·  Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.

·  Basic understanding of SQL commands

·  Experience working on Azure Cloud DevOps

UI Designer responsibilities include:

• Collaborating with product management and engineering to define and implement innovative solutions for the product direction, visuals and experience
• Executing all visual design stages from concept to final hand-off to engineering
• Conceptualizing original ideas that bring simplicity and user friendliness to complex design roadblocks

Job brief

We are looking for a talented UI Designer to create amazing user experiences. The ideal candidate should have an eye for clean and artful design, possess superior UI skills and be able to translate high-level requirements into interaction flows and artifacts, and transform them into beautiful, intuitive, and functional user interfaces.

Responsibilities

• Collaborate with product management and engineering to define and implement innovative solutions for the product direction, visuals and experience
• Execute all visual design stages from concept to final hand-off to engineering
• Conceptualize original ideas that bring simplicity and user friendliness to complex design roadblocks
• Create wireframes, storyboards, user flows, process flows and site maps to effectively communicate interaction and design ideas
• Present and defend designs and key milestone deliverables to peers and executive level stakeholders
• Conduct user research and evaluate user feedback
• Establish and promote design guidelines, best practices and standards

Requirements and skills

• Proven UI experience
• Demonstrable UI design skills with a strong portfolio
• Solid experience in creating wireframes, storyboards, user flows, process flows and site maps
• Proficiency in Adobe XD, Figma, Photoshop, Illustrator, OmniGraffle, or other visual design and wire-framing tools
• Proficiency in HTML, CSS, and JavaScript for rapid prototyping.
• Excellent visual design skills with sensitivity to user-system interaction
• Ability to present your designs and sell your solutions to various stakeholders.
• Ability to solve problems creatively and effectively
• Up-to-date with the latest UI trends, techniques, and technologies
• BS/MS in Human-Computer Interaction, Interaction Design, or related
• Experience working in an Agile/Scrum development process

Job Description

We are looking for .NET developers with following skill sets for building .NET applications.

Asp.Net with MVC 4.0+, Razor, Multi-threading, jQuery, Angular, SOAP API, Web API 2.0, DI Container, IOC, Bootstrap, Bootstrapper, HTML5, MS SQL

Primary responsibility will be to design and develop three layers of applications, and to coordinate with the rest of the team working on different layers of the infrastructure. A commitment to collaborative problem solving, sophisticated design, and quality product is essential.

Job Category            :  Software Engineer
Location                     : Delh

Experience                : 2 to 4 Years

Position Title: Senior Dot Net Developer

Key Responsibilities:

• Individual/ Team.
• Design, build, and maintain efficient, reusable, and reliable code
• Integrate data storage solutions
• Ensure the best possible performance, quality, and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization
• Timely submission of reports as necessary and achieving monthly goals is critical to this role.

Competencies:

Should possess sound communication and conflict management skills. 

Experience and Knowledge Requirements:

At least 2 years working experience with MS SQL, Asp.Net Web Form & windows services are mandatory.

Qualification:

MCA / B. Tech/ M.Sc. IT

Required Skillset:

• Strong knowledge of .NET framework
• Strong understanding of object-oriented programming
• Skill for writing reusable libraries
• Familiar with various design and architectural patterns
• Basic understanding of Common Language Runtime (CLR), its limitations, weaknesses, and workarounds
• Experience in generics collections. Client-side libraries like jQuery & Angular 1.3
• Proficient understanding of code versioning tools such as Git, SVN, and TFS
• Solid working experience on MVC, Singleton, abstract factory, facade design patterns

• 4 year degree or equivalent experience
• 8 to 13 years of software development experience 
• Demonstrates broad and deep expertise in any programming languages(Java, GoLang) and open source frameworks (e.g., Spring Boot, Micronut).
• Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure and microservices.
• Must have exposure to at least one cloud product/platform development.
• Working knowledge of any one client side framework like ReactJS or Angular, etc.
• Should have exposure to one or more databases like Cassandra, MongoDB, Graph, Redis, Elastic Search and Postgres.

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

• Develop new user-facing features
• Build reusable code and libraries for future use
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders