We’re Hiring : Data Scientist / Machine Learning Engineer (4–7 years experience)
Are you passionate about turning data into real business impact? We’re looking for a Data Scientist / ML Engineer to join our team and help productionize cutting-edge predictive models that power smarter decisions in the fintech and customer engagement space.
What You’ll Do :
- Build, deploy, and optimize predictive models across lending, collections, and CRM use cases.
- Work hands-on with large-scale datasets and modern data pipelines.
- Collaborate with cross-functional teams to translate business challenges into data-driven solutions.
- Apply best practices in MLOps, model monitoring, and governance.
- Communicate insights effectively to drive strategy and roadmap decisions.
What We’re Looking For :
4–7 years’ experience as a Data Scientist or ML Engineer, with proven experience productionizing ML models.Expertise in Python and libraries like scikit-learn, pandas, numpy, xgboost, PyTorch / TensorFlow, spaCy / NLTK .Strong SQL skills and comfort with cloud data lakes, ETL pipelines, and large messy datasets .Experience deploying models via REST APIs, Docker, batch / streaming workflows .Familiarity with data visualization / BI tools for business reporting.A practical MLOps mindset —versioning, monitoring, retraining, and governance.Excellent communicator who can operate independently and thrive in dynamic environments.Nice-to-Have Skills :
Experience with cloud ML platforms ( SageMaker, Vertex AI, Azure ML, Databricks ).
NLP / NLU for chat or voice bots.
Reinforcement learning or optimization exposure.
Experience in regulated industries with focus on explainable AI.
Familiarity with MLOps tools ( MLflow, Kubeflow, Airflow, Dataiku ).
Contributions to open-source or research publications.
Interested candidates kindly share your resumes on shikha@digifocal.in