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Job Description

Who We are :

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.

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. Youll 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

theyre 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 thats 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 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


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