Design and deploy AI/ML models for financial operations, enhance decision-making, and automate finance/accounting processes in collaboration with global teams.
Job Description – AI Engineer - II
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern and use your skills to push one of the fastest-growing companies in the US to the top of the list!
Pattern Inc. is the global leader in ecommerce acceleration, helping hundreds of the world’s most recognized brands grow profitably across marketplaces like Amazon, Walmart.com, Target.com, and Tmall. Founded in 2013, Pattern has scaled to more than 1,800 employees across 18 global offices and recently achieved a successful IPO, marking a major milestone in its growth journey. Our proprietary data-driven platform empowers brands to optimize performance, protect their reputation, and expand internationally with confidence. With a culture built on innovation, collaboration, and integrity, Pattern offers employees the opportunity to make a measurable impact in a fast-moving, global business. Joining Pattern means being part of a newly public, high-growth company that’s redefining how brands win online while offering stability, purpose, and meaningful career advancement.
We need an AI Engineer - II to join our Finance & Accounting team. This role focuses on designing, developing, and deploying advanced AI and Machine Learning (ML) solutions to optimize financial operations, enhance decision-making, and mitigate risk. The ideal candidate will combine deep technical expertise in AI with strong financial domain knowledge to create intelligent systems for finance and accounting process automation / transformation. This is a full time, hybrid role and will work from Pune, India.
What is a day in the life of an AI Engineer - II?
- Design, build, and deploy AI/ML models for accounting processes.
- Work closely with global finance and accounting team, IT teams, and business stakeholders to translate complex financial challenges into AI-driven solutions.
- Collaborate with accounting teams to identify automation opportunities and integrate AI solutions.
- Stay updated on emerging AI technologies and explore their application in financial products and services.
What will I need to thrive in this role?
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- Understanding of accounting & reporting processes, financial modeling, risk analysis, fraud detection, and regulatory compliance.
- Experience with N8N AI workflow automation tool
- Upto 4 years of overall with around 2 years of relevant experience in building and deploying AI/ML models, preferably in the finance and accounting projects.
- Knowledge of Generative AI and Large Language Models (LLMs) for finance applications.
- Proficiency in Python and relevant libraries (Amazon SageMaker); SQL knowledge required.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (Docker, CI/CD).
- Experience with big data technologies (Snowflake).
- Strong analytical thinking, problem-solving, communication, and collaboration skills.
What is my potential for career growth?
- ● If you are looking to grow your career and skill set, this is the place. We value our team members and want them to achieve their career aspirations.
- ● We have an experienced team to help mentor and guide. Opportunities will be provided in forms of daily responsibilities, special projects, and career coaching.
- You will be supervised and mentored by a manager and meet with them on a regular basis to discuss your performance.
- This team is data driven and results oriented. You will collaborate regularly with members of your team to implement actionable solutions. Ideas and input are encouraged by all members.
What is the team like?
We are looking for individuals who are:
· Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
· Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
· Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
· Team of Doers- Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
● An initial phone interview with Pattern’s talent acquisition team
● A video interview with a hiring manager
● An onsite interview with a panel of department leaders
● Offer review by executive team
● Offer
How can I stand out as an applicant?
● Be prepared to talk about professional accomplishments with specific data to quantify examples
● Be ready to talk about how you can add value and be the best addition to the team
● Focus on mentioning how you would make a difference at Pattern
● Be prepared to talk about any side projects related to data and analytics
Top Skills
Amazon Sagemaker
AWS
Azure
Ci/Cd
Docker
GCP
N8N Ai
Python
Snowflake
SQL
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
