Machine Learning Engineer

Who are we looking for? Machine Learning Engineer

Whats the story?

branchX is India's first neobank enabling empathetic banking for migrant communities.

Location: Navi Mumbai.

About Us:

Launched in June 2020, branchX is India's first neo-banking solution, enabling empathetic banking for migrant communities. Our vision is to transform the way underbanked communities manage money with a hand-holding grid aided by intelligent technologies. Headquartered in Navi-Mumbai, we are a 100+ member impact-driven team with offices in Noida, Bangalore, Kochi, Tamil Nadu, Kolkata and other locations.

Where do you come into the picture?

Seeking a skilled and experienced Machine Learning Engineer to drive the design, development, and delivery of scalable, secure, and high-performing Output

with hands-on experience in building and deploying ML models. You'll be responsible for developing intelligent systems to solve real business problems like sales prediction, fraud/theft detection, and personalized recommendations.

Youll work on time series forecasting, anomaly detection, cross-selling models, and recommendation systems, while maintaining robust ML pipelines in production environments.

Key Responsibilities:

• Develop predictive models for:
  

• Sales forecasting

• Theft/fraud detection

• Cross-sell and up-sell opportunities

• Build and implement:
  

• Recommendation algorithms

• Anomaly detection systems

• Time series forecasting models

• Maintain and monitor

  ML pipelines

  in production (MLOps)
• Work on

  feature engineering

  , model evaluation, and optimization
• Collaborate with cross-functional teams to integrate models into products

Required Skills:

• ML Libraries

  : Scikit-learn, TensorFlow, PyTorch

• Programming & Data Tools

  : Python, Pandas, SQL

• Feature Engineering & Data Preprocessing

• MLOps Tools

  : Model versioning, CI/CD for ML, monitoring, etc.
• Solid understanding of:
  
• Time Series models (e.g., ARIMA, Prophet, LSTM)
  
• Anomaly Detection methods
  
• Recommendation Systems (Collaborative Filtering, Matrix Factorization)
  
• Bonus: Experience with

  Docker

  ,

  Flask

  ,

  FastAPI

  , and

  cloud platforms

  (AWS/GCP/Azure)

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field
  
• 35 years of experience in applied machine learning and model deployment.

Benefits:

• Mediclaim insurance

  for employees

• Provident Fund (PF)

• Supportive and innovative team culture
  
• Opportunity to work on high-impact AI products in Fintech

Why Join Us?

• Solve real-world problems in finance using machine learning
  
• Ownership of full ML lifecycle from development to deployment
  
• Learn and grow in a collaborative, fast-paced AI environment
  
• Make a measurable impact with data-driven solutions

What expertise & experiences would you need to have to play this kind of role?

A strong Candidate capable of leading the company's growth with remarkable skills in Machine Learning.