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Paxcom - AI/ML Engineer - LLM
Paxcom - AI/ML Engineer - LLMPaxcom India (P) Ltd • Gurgaon
Paxcom - AI / ML Engineer - LLM

Paxcom - AI / ML Engineer - LLM

Paxcom India (P) Ltd • Gurgaon
30+ days ago
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 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
  • (ref : hirist.tech)

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