People Interactive
Website:
peopleinteractive.in
Job details:
About the Role
We are looking for a Data Scientist / Machine Learning Engineer to build and deploy high-impact ML solutions that directly influence business metrics such as revenue, customer experience, and risk mitigation.
This is a product-focused role, where you will work closely with Product and Engineering teams to identify opportunities, build models, and ship them into production at scale.
What You’ll Do
- Partner with Product teams to identify high-impact ML use cases tied to business outcomes
- Work with large structured and unstructured datasets to build robust features and pipelines
- Build and deploy ML models for:
- Personalization and recommendation systems
- Pricing and discount optimization
- User matching, ranking, and discovery systems
- Fraud detection and risk modeling
- Churn / conversion / propensity modeling
- Develop and productionize models using APIs, CI/CD pipelines, Docker
- Work on cloud platforms (AWS / GCP) for scalable ML deployment
- Design and run A/B experiments with proper guardrails
- Build monitoring systems for model performance, data drift, and business KPIs
- Collaborate closely with engineering teams to ensure scalable implementation
Ideal Candidate
- 3+ years of experience as a Data Scientist / Machine Learning Engineer
- Strong programming skills in Python
- Solid understanding and hands-on experience with:
- Classical ML algorithms (regression, decision trees, gradient boosting)
- Deep Learning frameworks (TensorFlow / PyTorch)
- Hands-on experience in at least 2+ ML use cases:
- Recommendation systems
- NLP / text processing
- Fraud / risk modeling
- Pricing models
- Propensity modeling
- Strong experience in NLP:
- Text classification / generation
- Embeddings and similarity models
- Feature extraction from unstructured data
- Experience with productionizing ML models (APIs, Docker, CI/CD)
- Hands-on exposure to AWS / GCP environments
- Strong problem-solving and business-oriented thinking
What We’re Not Looking For
- Profiles with only academic/research experience (no production ML)
- Candidates from pure financial/banking domains
- Candidates without hands-on model deployment experience
Why Join Us
- Work on real-world ML problems with direct business impact
- Opportunity to build and scale production-grade ML systems
- Collaborative environment with product + engineering alignment
- High ownership and visibility in a fast-growing product company
Location Requirement
- Candidates must be based in Mumbai or originally from Mumbai
Click on Apply to know more.