Posted:5 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

We’re Hiring: Data Scientist / Machine Learning Engineer (4–7 years experience)

Data Scientist / ML Engineer

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

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