Who We are:
https://cutt.ly/7IaPERV
We are a team of Ecommerce enthusiasts, passionate about using technology to simplify Digital Commerce and Payments for brands across the globe. Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal, Alexa and Walmart.
For more details, please visit http://paymentus.com & http://paxcom.ai
Job Position : Associate Lead – AI/ML Engineering
Job Location: Gurgaon (Work From Office)
Job Summary
We are looking for an experienced and visionary Associate Lead – AI/ML Engineer to join our fast-growing E-commerce team. This role demands technical mastery, deep knowledge across AI/ML domains, and the ability to design scalable, secure ML systems for real-world applications. You will not only contribute as a hands-on expert but also help shape our AI strategy, mentor team members, and collaborate closely with stakeholders across technology and business functions.
Key Responsibilities:
Architect, build, and deploy end-to-end ML systems at scale on cloud platforms (AWS, GCP, Azure).
Lead the technical design and evaluation of ML models and MLOps frameworks, ensuring alignment with business goals and system constraints.
Drive innovation across key AI domains such as NLP (incl. LLMs), Predictive Analytics, and optionally Computer Vision or Recommendation Engines.
Mentor and guide engineers, fostering a culture of high performance, collaboration, and continuous learning.
Partner with product and business stakeholders to define project roadmaps, validate impact, and deliver AI-powered features.
Stay ahead of the curve with advancements in AI/ML, proactively identifying opportunities to apply them in business contexts.
Technical Expertise: Proven hands-on experience as a Senior ML Engineer or equivalent role, with deep expertise in ML system development.
Cloud ML Systems: Strong background in designing and deploying secure, scalable AI systems on AWS, GCP, or Azure.
AI Breadth: In-depth knowledge in at least two of the following: NLP/LLMs, Predictive Analytics, Computer Vision, Recommendation Systems.
Model Evaluation: Ability to assess trade-offs across different models, frameworks, and tools with respect to performance, cost, and speed.
Continuous Learning: Active follower of AI/ML advancements, with a track record of bringing innovative solutions into production.
Business Acumen: Ability to tie ML solutions to key business KPIs, build business cases, and understand cost structures (e.g., token vs. hosting costs).
Client Communication: Strong interpersonal skills with experience engaging senior stakeholders and translating complex tech into business value.
Product Thinking: Skilled at turning abstract AI visions into executable, revenue-impacting roadmaps.
Leadership: Demonstrated ability to mentor and grow engineering talent, with a hands-on leadership style.
Security & Ethics: A mindset that prioritizes secure, privacy-compliant, and ethically sound AI development.
What we expect from you?
You have the ability to work in a fast-paced environment adapting to changing priorities
You are focused and detail oriented but know when to seek help from others
You have excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiences
You possess superior troubleshooting and analytical skills to determine the root cause of issues
You strive to identify areas of improvement and work proactively to prevent issues from occurring
You are a self-starter with an appreciation for tackling technical challenges of varying complexity
You are diligent when making decisions and can easily justify your actions.
Why Join us?
You hate micromanagement and freedom to work is important to you
Enjoy flexible and relaxed work environment
Work life Balance is important to you
Enjoy Motivating Working Conditions
A friendly, Supportive, Professional and achievement-oriented management team
Competitive remuneration
An opportunity to learn new things every day and work on latest technologies
