<p><p><b>Who We are : </b> <br/><br/>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.
<br/><br/><b>Job Position : </b> AI/ML Location : </b> Gurgaon (Work From Office)</p><p><br/><b>Job Summary : </b></p><br/></p><p>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.<br/><br/><b>Key Responsibilities : </b></p><p><p><b><br/></b></p>- Design, build, and deploy end-to-end machine learning solutions for production.<br/><br/></p><p>- Fine-tune and integrate Large Language Models (LLMs), including experience with RAG, APIs from OpenAI, Google, Anthropic, etc.<br/><br/></p><p>- Implement and manage robust MLOps workflows using tools like Docker, CI/CD pipelines, and cloud ML services such as SageMaker or Vertex AI.<br/><br/></p><p>- Work with structured and unstructured data, leveraging both SQL and NoSQL databases.<br/><br/></p><p>- Collaborate with cross-functional teams to translate business requirements into technical solutions.<br/><br/></p><p>- Continuously explore and experiment with new models (e.g., Llama 3, Mistral, open-source LLMs) and frameworks as soon as </p><p>theyre released.<br/><br/><b>Essential Skills : </b></p><p><p><b><br/></b></p>- <b>Programming : </b> Expert in Python with strong experience in Pandas, NumPy, and data processing.<br/><br/></p><p>- <b>ML Frameworks : </b> Deep hands-on experience with PyTorch, TensorFlow, and Scikit-learn.<br/><br/></p><p>- <b>LLMs : </b> Proven experience with fine-tuning, RAG, and working with LLM APIs from providers like OpenAI, Google, and Anthropic.<br/><br/></p><p>- <b>MLOps & Cloud : </b> 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.<br/><br/></p><p>- <b>Data Handling : </b> Proficient in working with SQL/NoSQL databases and scalable data storage systems.<br/><br/></p><p>- <b>Tech Curiosity : </b> Actively stays up to date with the latest in ML/AI - whether thats testing new LLMs, trying out novel frameworks, or exploring new techniques.<br/><br/><b>Desirable Traits : </b> <br/><br/></p><p>- <b>Product Thinking : </b> You think beyond models-you focus on building products that deliver value.<br/><br/></p><p>- <b>Problem Solving : </b> Comfortable navigating ambiguous challenges and developing practical solutions.<br/></p><p><br/></p><p>- <b>Communication : </b> Able to explain technical concepts clearly to both technical and non-technical stakeholders.<br/><br/></p><p>- <b>Team Collaboration : </b> Thrive in agile environments, enjoy knowledge sharing, and work well with diverse teams.<br/><br/><b>What we expect from you?</b> <br/><br/></p><p>- You have the ability to work in a fast-paced environment adapting to changing priorities<br/><br/></p><p>- You are focused and detail oriented but know when to seek help from others<br/><br/></p><p>- You have excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiences<br/><br/></p><p>- You possess superior troubleshooting and analytical skills to determine the root cause of issues<br/><br/></p><p>- You strive to identify areas of improvement and work proactively to prevent issues from occurring<br/><br/></p><p>- You are a self-starter with an appreciation for tackling technical challenges of varying complexity<br/><br/></p><p>- You are diligent when making decisions and can easily justify your actions.<br/><br/><b>Why Join us?</b></p><p> <b><br/></b>- You hate micromanagement and freedom to work is important to you<br/><br/></p><p>- Enjoy flexible and relaxed work environment<br/><br/></p><p>- Work life Balance is important to you<br/><br/></p><p>- Enjoy Motivating Working Conditions<br/><br/></p><p>- A friendly, Supportive, Professional and achievement-oriented management team<br/><br/></p><p>- Competitive remuneration<br/><br/></p><p>- An opportunity to learn new things every day and work on latest technologies</p><br/></p> (ref:hirist.tech)