Machine Learning Engineer

Dear Candidates,

We are looking for candidates interested in the role of Machine Learning Engineer.

Following is the Job Description for your reference.

Job Title:

Location:

Experience:

Domain:

About the Role

Machine Learning Engineer

Key Responsibilities

• Collect, preprocess, and analyze credit card and UPI payment data to extract features and insights.
• Design and develop ML models for use cases such as

  fraud detection

  ,

  transaction risk scoring

  , and

  customer analytics

  .
• Build, fine-tune, and deploy

  OSS LLMs

  (Open-Source Large Language Models) like GPT, T5, BERT, Falcon, and Vision Transformers for tasks such as:
• Text summarization
• Synthetic data generation
• NLP applications in payments
• Implement, monitor, and maintain ML/GenAI models in production environments using

  MLOps tools

  (MLflow, Kubeflow, AWS SageMaker, Comet OPIK).
• Evaluate model performance using industry-standard metrics (Precision, Recall, F1-score, AUC-ROC).
• Collaborate with cross-functional teams to align ML solutions with business objectives.
• Monitor model drift, performance, and ensure scalability and reliability of production systems.

Required Skills

• 8–10 years of experience in ML engineering, data science, or related roles.
• Proficient in

  Python

  (must), and working knowledge of

  R

  and

  Java

  .
• Solid understanding of

  machine learning

  ,

  statistics

  , and

  data science

  principles.
• Experience with data processing tools such as

  SQL

  ,

  Spark

  , and

  Hadoop

  .
• Strong hands-on experience with frameworks:

• TensorFlow

  ,

  PyTorch

  ,

  Scikit-learn

• Hugging Face Transformers

  ,

  LangChain

  ,

  LlamaIndex

• Familiarity with

  foundational models

  : BERT, GPT, T5, ViT, etc.
• Exposure to

  GenAI

  and

  OSS LLM fine-tuning & deployment

  .
• Hands-on experience with

  Docker

  ,

  Kubernetes

  , and production deployment of ML models.
• Hands-on & strong in Python programming (note: Candidate is expected to complete a coding exercise during the interview)
• Building

  Agentic solutions

  & exposing the same Agents as Services
• Building chat-bots based on

  RAG framework

• Experience in optimizing prompts
• Excellent communication and presentation skills.

Preferred Qualifications

• Background in the

  payments or financial domain

  (UPI, credit card data).
• Experience working with

  fraud detection

  ,

  customer segmentation

  , or

  risk scoring models

  .
• Experience with model monitoring, feedback loops, and model retraining pipelines.

Those who are interested kindly apply on the following link,

https://forms.office.com/e/q4MmmKbArC