Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in bengaluru
>
Aqilea
>
Data Scientist

Data Scientist

Aqilea

4 - 6 years

6 - 8 Lacs

bengaluru

Posted:1 day ago| Platform:

Apply

Skills Required

training deep learning data analysis neural networks consulting machine learning deployment monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Data Scientist

We are seeking a skilled and forward-thinking Data Scientist to join our Emerging Tech team.

Company : Aqilea India

Employment Type: Full Time

Location: Bangalore(Hybrid)

Experience: 4 to 6 years

Job Title: Data Scientist

About the Role:

We are seeking a skilled and innovative

Data Scientist

with expertise in building scalable recommendation systems and leveraging advanced AI/ML frameworks. The ideal candidate should have a strong background in SQL, Python, and cloud-based AI platforms to design, develop, and deploy data-driven solutions that enhance user personalization and business growth.

Design, develop, and optimize
recommendation engines
using techniques such as
collaborative filtering, content-based filtering, and two-tower models
.
Build, test, and deploy ML models leveraging
BigQuery ML, Vertex AI, Azure AI, and Python frameworks (PyTorch / TensorFlow)
.
Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to derive actionable insights.
Work with large datasets to ensure scalability, performance, and efficiency of machine learning solutions.
Collaborate with cross-functional teams including product managers, data engineers, and software developers to translate business requirements into data science solutions.
Continuously evaluate and improve model accuracy, relevance, and fairness.
Stay up to date with the latest advancements in recommendation systems and AI/ML frameworks.

Required Skills & Qualifications:

Strong proficiency in
SQL
and
Python
for data manipulation, analysis, and modeling.
Hands-on experience with
recommendation engine algorithms
(collaborative filtering, content-based filtering, two-tower neural networks).
Practical expertise with
BigQuery ML, Vertex AI, or Azure AI
for model training and deployment.
Experience with
PyTorch
or
TensorFlow
for deep learning models.
Solid understanding of ML lifecycle (data preparation, training, validation, deployment, monitoring).
Strong problem-solving skills and the ability to work with large-scale, complex datasets.
Excellent communication skills and ability to explain technical concepts to non-technical stakeholders.

Notice Period:

Immediate to 15 Days Only

Work Location

: Bangalore(Hybrid)

More Jobs at Aqilea

Financial Systems Senior Analyst

Hyderabad

7 - 12 yrs

INR 8 - 12 Lacs

Senior iOS Engineer

Bengaluru

8 - 13 yrs

INR 9 - 13 Lacs

Front End Web Developer

Bengaluru

3 - 8 yrs

INR 3 - 6 Lacs

Java Backend Developer

Bengaluru

5 - 10 yrs

INR 4 - 7 Lacs

Java Tech Lead

Bengaluru

8 - 13 yrs

INR 9 - 14 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Deep Learning Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.