Area Sales Manager

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, 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 Teamwin. 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.

Responsibilities:

• Develop user-facing features such as web apps and landing portals.
• Ensure the feasibility of UI/UX designs and implement them technically.
• Create reusable code and libraries for future use.
• Optimize applications for speed and scalability.
• Contribute to the entire implementation process, including defining improvements based on business needs and architectural enhancements.
• Promote coding, testing, and deployment of best practices through research and demonstration.
• Review frameworks and design principles for suitability in the project context.
• Demonstrate the ability to identify opportunities, lay out rational plans, and see them through to completion.

Requirements:

• Bachelor’s degree in Engineering with 10+ years of software product development experience.
• Proficiency in React, Django, Pandas, GitHub, AWS, and JavaScript, Python
• Strong knowledge of PostgreSQL, MongoDB, and designing REST APIs.
• Experience with scalable interactive web applications.
• Understanding of software design constructs and implementation.
• Familiarity with ORM libraries and Test-Driven Development.
• Exposure to the Finance domain is preferred.
• Knowledge of HTML5, LESS/CSS3, jQuery, and Bootstrap.
• Expertise in JavaScript fundamentals and front-end/back-end technologies.

Nice to Have:

• Strong knowledge of website security and common vulnerabilities.
• Exposure to financial capital markets and instruments.

Compensation and Benefits Package:

• Competitive compensation with a discretionary annual bonus.
• Performance-linked variable compensation.
• Medical insurance.

A note on location. While we have team centers in Boulder, New York City, San Francisco, Charlotte, and Mumbai, this role is based out of Bangalore

TIFIN is an equal-opportunity workplace, and we value diversity in our workforce. All qualified applicants will receive consideration for employment without regard to any discrimination.

1. Market Research: Conduct thorough market research to identify potential clients, industry trends, and competitive landscape.
2. Prospecting and Lead Generation: Identify and reach out to potential clients through various channels, including cold calling, emails, and networking events.
3. Client Engagement: Build and maintain strong relationships with clients by understanding their needs and effectively communicating how our products/services can add value.
4. Sales Support: Collaborate with senior business development executives to develop proposals, presentations, and other sales materials. Assist in preparing and delivering client presentations.
5. Pipeline Management: Maintain a well-organized and updated sales pipeline, ensuring accurate tracking of leads, opportunities, and client interactions.
6. Achieving Targets: Work towards and achieve assigned sales targets and objectives within specified timelines.
7. Feedback and Improvement: Provide feedback from client interactions to internal teams, contributing to the continuous improvement of products/services.

Freshers can apply!

As an IT Technical Lead, you will play a crucial role in managing and leading a team of IT professionals. You will be responsible for providing technical guidance, overseeing project execution, and ensuring the successful delivery of IT solutions. Your expertise will be instrumental in driving innovation, implementing best practices, and maintaining a high level of technical excellence within the organization.

Key Responsibilities:

Team Leadership: Lead a team of IT professionals, including developers, engineers, and support staff. Provide guidance, mentorship, and technical expertise to ensure team members' growth and success. Foster a collaborative and positive work environment.

Technical Strategy and Planning: Develop and implement a strategic technical roadmap aligned with the organization's goals and objectives. Stay up to date with emerging technologies and trends, and assess their applicability to the organization's IT infrastructure. Make recommendations for technology adoption or enhancements.

Project Management: Oversee the execution of IT projects, including resource allocation, task assignments, and timelines. Collaborate with stakeholders to gather requirements, define project scope, and ensure successful project delivery. Monitor project progress, identify and mitigate risks, and resolve issues as they arise.

Technical Expertise: Serve as a subject matter expert in various IT domains, such as software development, infrastructure management, cybersecurity, and data management. Stay informed about industry best practices and provide guidance on technical standards, frameworks, and methodologies. Conduct research and evaluation of new technologies to support business objectives.

Collaboration and Communication: Collaborate with cross-functional teams, including business stakeholders, product managers, and other IT teams. Effectively communicate technical concepts and solutions to both technical and non-technical stakeholders. Foster strong relationships with external vendors and partners.

Troubleshooting and Issue Resolution: Assist in troubleshooting complex technical issues and provide guidance to team members in resolving them. Identify root causes, implement corrective actions, and develop preventive measures to avoid similar issues in the future. Ensure the timely resolution of critical incidents.

Continuous Improvement: Drive continuous improvement initiatives within the IT department by identifying areas for optimization, streamlining processes, and implementing automation where applicable. Promote a culture of innovation, learning, and knowledge sharing within the team.

Qualifications and Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

Proven experience in a technical leadership role, managing and leading a team of IT professionals.

Strong technical background in one or more IT domains, such as software development, infrastructure management, cybersecurity, or data management.

In-depth knowledge of industry best practices, emerging technologies, and trends.

Proficiency in project management methodologies and tools.

Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Strong problem-solving and troubleshooting abilities.

Demonstrated ability to drive innovation, implement process improvements, and foster a culture of continuous learning.