Machine Learning Engineer (E-Commerce)

Who We Are

Short video abous usWe 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 www.paymentus.com & www.paxcom.ai

Job Position : AI/ML Engineering

Job Location: Gurgaon (Work From Office)

Job Summary

We're looking for a passionate and hands-on

Machine Learning Engineer

to join our fast-paced

E-commerce team

. You’ll work on cutting-edge projects involving

Large Language Models (LLMs)

, full

MLOps lifecycle

, and scalable deployment of AI solutions.

Key Responsibilities

Design, build, and deploy end-to-end machine learning solutions for production.Fine-tune and integrate

Large Language Models (LLMs)

, including experience with RAG, APIs from OpenAI, Google, Anthropic, etc.Implement and manage robust MLOps workflows using tools like

Docker

,

CI/CD pipelines

, and cloud ML services such as

SageMaker

or

Vertex AI

.Work with structured and unstructured data, leveraging both

SQL

and

NoSQL

databases.Collaborate with cross-functional teams to translate business requirements into technical solutions.Continuously explore and experiment with new models (e.g., Llama 3, Mistral, open-source LLMs) and frameworks as soon as they’re released.

Essential Skills

Programming:

Expert in Python with strong experience in Pandas, NumPy, and data processing.

ML Frameworks:

Deep hands-on experience with

PyTorch

,

TensorFlow

, and

Scikit-learn

.

LLMs:

Proven experience with fine-tuning, RAG, and working with LLM APIs from providers like OpenAI, Google, and Anthropic.

MLOps & Cloud:

Solid experience across the MLOps lifecycle with tools like Docker and CI/CD pipelines. Proficiency in at least one major cloud platform (

AWS

,

GCP

, or

Azure

) and their ML services.

Data Handling:

Proficient in working with SQL/NoSQL databases and scalable data storage systems.

Tech Curiosity:

Actively stays up to date with the latest in ML/AI – whether that’s testing new LLMs, trying out novel frameworks, or exploring new techniques.

Desirable Traits

Product Thinking:

You think beyond models—you focus on building products that deliver value.

Problem Solving:

Comfortable navigating ambiguous challenges and developing practical solutions.

Communication:

Able to explain technical concepts clearly to both technical and non-technical stakeholders.

Team Collaboration:

Thrive in agile environments, enjoy knowledge sharing, and work well with diverse teams.

What we expect from you?

You have the ability to work in a fast-paced environment adapting to changing prioritiesYou are focused and detail oriented but know when to seek help from othersYou have excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiencesYou possess superior troubleshooting and analytical skills to determine the root cause of issuesYou strive to identify areas of improvement and work proactively to prevent issues from occurringYou are a self-starter with an appreciation for tackling technical challenges of varying complexityYou are diligent when making decisions and can easily justify your actions.

Why Join us?

You hate micromanagement and freedom to work is important to youEnjoy flexible and relaxed work environmentWork life Balance is important to youEnjoy Motivating Working ConditionsA friendly, Supportive, Professional and achievement-oriented management teamCompetitive remunerationAn opportunity to learn new things every day and work on latest technologies