3000000 - 3500000 INR - Yearly
Gurugram, Haryana, India
Information Technology
Full-Time
Uplers
Overview
Experience: 3.00 + years
Salary: INR 3000000-3500000 / year (based on experience)
Expected Notice Period: 7 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid (Gurugram)
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Wink Inc.)
(*Note: This is a requirement for one of Uplers' client - Wink Inc.)
What do you need for this opportunity?
Must have skills required:
3+ years of experience in data science, or data engineering, preferably in a security or biometrics-focused company., Machine Learning, Python, Spark, SQL, TensorFlow, PyTorch
Wink Inc. is Looking for:
Role Overview
We are seeking a highly skilled Data Scientist to join our team and work on developing secure,
scalable data pipelines, building robust data models, and deploying machine learning models
for biometric and security applications.
You will collaborate with cross-functional teams to process large-scale security datasets and
extract meaningful insights to improve fraud detection, authentication systems, and risk
assessment.
Job Location:
You will be part of our niche technology team based in Gurgaon/Delhi, India. We are a Hybrid
Work environment with a preference for 4 days Office and 1 day work from home setup.
Key Responsibilities:
AIPH Millennium
5
th Floor, Phase IV, Udyog Vihar, Sector 18, Gurugram, Haryana 122015
https://www.wink.cloud
Page 2 of 3
Data Modeling & Machine Learning:
ETL & Data Processing:
Security & Compliance:
Wink Inc.
AIPH Millennium
5
th Floor, Phase IV, Udyog Vihar, Sector 18, Gurugram, Haryana 122015
https://www.wink.cloud
Page 3 of 3
Technical Skills:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Salary: INR 3000000-3500000 / year (based on experience)
Expected Notice Period: 7 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid (Gurugram)
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Wink Inc.)
(*Note: This is a requirement for one of Uplers' client - Wink Inc.)
What do you need for this opportunity?
Must have skills required:
3+ years of experience in data science, or data engineering, preferably in a security or biometrics-focused company., Machine Learning, Python, Spark, SQL, TensorFlow, PyTorch
Wink Inc. is Looking for:
Role Overview
We are seeking a highly skilled Data Scientist to join our team and work on developing secure,
scalable data pipelines, building robust data models, and deploying machine learning models
for biometric and security applications.
You will collaborate with cross-functional teams to process large-scale security datasets and
extract meaningful insights to improve fraud detection, authentication systems, and risk
assessment.
Job Location:
You will be part of our niche technology team based in Gurgaon/Delhi, India. We are a Hybrid
Work environment with a preference for 4 days Office and 1 day work from home setup.
Key Responsibilities:
- Data Pipeline Development:
- Design and build scalable data pipelines to process, clean, and transform large security and
- Optimize data ingestion, storage, and retrieval for real-time and batch processing.
AIPH Millennium
5
th Floor, Phase IV, Udyog Vihar, Sector 18, Gurugram, Haryana 122015
https://www.wink.cloud
Page 2 of 3
Data Modeling & Machine Learning:
- Develop and implement predictive models for biometric authentication, fraud detection, and
- Train, evaluate, and optimize machine learning models (e.g., CNNs for facial recognition,
- Work with deep learning frameworks (TensorFlow, PyTorch) for advanced security
ETL & Data Processing:
- Design and manage ETL workflows to extract, transform, and load data from multiple sources.
- Ensure data integrity, consistency, and security compliance in ETL processes.
- Work with structured & unstructured data from biometric sensors, access logs, and
Security & Compliance:
- Implement best practices for data security, encryption, and access control in ML models.
- Collaborate with security engineers to detect and mitigate data-related threats.
- Education & Experience:
- Bachelor's/Master’s degree in Computer Science, Data Science, AI, or a related field.
- 3+ years of experience in data science, machine learning, or data engineering, preferably in a
Wink Inc.
AIPH Millennium
5
th Floor, Phase IV, Udyog Vihar, Sector 18, Gurugram, Haryana 122015
https://www.wink.cloud
Page 3 of 3
Technical Skills:
- Proficiency in Python, SQL, Spark, and cloud platforms (AWS, GCP, or Azure).
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Strong knowledge of ETL, data pipelines, and workflow orchestration tools (Airflow, Kafka,
- Familiarity with biometric technologies (face recognition, fingerprint analysis, behavioral
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
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