- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Machine Learning Engineer.
 
  
  
    
    
  
      Urgent! Machine Learning Engineer Job Opening In India, India – Now Hiring Cache Technologies & Communications Pvt. Ltd.
 
                        
                         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
                      
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 20359 jobs in India and 1479 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Cache Technologies & Communications Pvt. Ltd. is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cache Technologies & Communications Pvt. Ltd. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
 
            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Cache Technologies & Communications Pvt. Ltd., research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cache Technologies & Communications Pvt. Ltd.'s products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Machine Learning Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!