Job description
 
                         Company Description
Cache Technologies & Communications Pvt.
Ltd.
is an information technology services and solutions company based in Bangalore, India.
Our mission is to help companies become more responsive, productive, and resilient through advanced business technologies.
We provide comprehensive solutions encompassing servers, data center facilities, software, storage, and networking.
Our competencies include IT optimization, enterprise security, business continuity, disaster recovery, content management, business integration, and business intelligence.
We’re Hiring: Machine Learning Engineer
Location: Bangalore, India (Hybrid/Onsite)
At
Cache Technologies & Communications Pvt.
Ltd.
, we are building scalable, intelligent data-driven solutions to power the future of decision-making.
We are looking for a passionate
Machine Learning Engineer
to join our growing Data Science team.
What You’ll Do
Architect, train, and deploy
production-grade machine learning models
(XGBoost, Logistic Regression, Ensemble Classifiers, etc.) for high-impact use cases such as
credit risk scoring and predictive decision systems .
Design and implement
robust data preprocessing pipelines
for streaming and batch sources (handling missing values, encoding, feature engineering, etc.).
Build
real-time model monitoring systems
with Grafana/Prometheus for drift detection and automated quality checks.
Develop and maintain
distributed data pipelines
using Apache Beam, Airflow, Spark, or Dataflow.
Collaborate with
product managers, data scientists, and MLOps engineers
to translate business needs into scalable ML workflows.
Package and deploy ML solutions on
GCP Vertex AI / AWS SageMaker / Kubernetes clusters
with CI/CD pipelines.
Lead initiatives to convert prototypes into
modular, testable, and scalable ML services
using Python (PyTorch, scikit-learn, LightGBM).
What We’re Looking For
Bachelor’s or Master’s degree in
Computer Science, Data Science, Statistics, or related fields .
2+ years’ experience
in machine learning, data engineering, or advanced analytics.
Hands-on expertise with
SQL, Spark, Redshift, Hadoop , and distributed data systems.
Strong foundation in
statistical modeling, regression, uplift evaluation, bias audits, and data validation .
Experience deploying ML models with
Docker, CI/CD pipelines, and cloud-native environments .
Familiarity with
ML monitoring, explainability (SHAP, PDP), and regulatory compliance in ML .
Strong problem-solving skills, attention to detail, and ability to thrive in cross-functional teams.
Why Join Us?
Work on
cutting-edge ML systems
with real-world impact.
Collaborate with an
innovative and passionate team
solving complex challenges in data-driven decisioning.
Opportunity to
mentor and be mentored , growing both technically and professionally.
A culture that values
excellence, collaboration, and continuous learning .
If you’re excited to push the boundaries of applied machine learning, we’d love to hear from you!
Apply now or reach out to us at hr @cache-tech.com
 
                    
                    
Required Skill Profession
 
                     
                    
                    Computer Occupations