Data Scientist

V2 Solutions; Hinoba-an; On-site; PHP 1,217,000 - 1,597,000; Full time

Job summary

V2 Solutions in India seeks a Data Scientist / Senior Data Scientist to design and implement machine learning models and analytics solutions for business problems. You will work with large-scale data, build predictive models, and collaborate with engineering and product teams to deploy data-driven solutions, including computer vision and AWS deployments.

The role requires strong Python skills, ML expertise, and experience in big data tools, with office presence at client sites in Bangalore or

Qualifications

• Masters or PhD in CS, Statistics, Mathematics, or related field.
• Strong programming in Python (pandas, scikit-learn).
• Experience with ML algorithms and statistical modeling.
• Hands-on with computer vision libraries (OpenCV, TensorFlow, PyTorch).

Responsibilities

• Develop and deploy machine learning models for classification, regression, clustering, and recommendations.
• Build computer vision solutions using CNNs, object detection, and image segmentation.
• Deploy models on AWS using SageMaker, Lambda, and S3.
• Perform feature engineering and model hyperparameter tuning.
• Analyze experiments and iterate on model improvements.
• Collaborate with data engineers to ensure robust data pipelines.
• Communicate findings to non-technical stakeholders.
• Stay updated on data science and AI trends.

Skills

Python

Machine learning

Data wrangling

Communication

Education

Master's/PhD in CS/Statistics/Math

Tools

TensorFlow

PyTorch

OpenCV

SageMaker

Lambda

S3

Spark

Hadoop

Job description

ECMS # 527228 Number of Openings 2 Duration of project 6 months will get extended No of years experience Total - 10+ Yrs exp Relevant experience 6+ yrs in Data Scientist Detailed job description - Skill Set: Data Scientist (10+ Years Experience) Job Title: Data Scientist / Senior Data Scientist Location: Bangalore / Hyderabad (should be able to come in to office 5 days / week)

Job Summary

As a Data Scientist, you will design and implement machine learning models and advanced analytics solutions to solve complex business problems. You will work with large-scale data, build predictive models, and collaborate with engineering and product teams to deploy data-driven solutions. You will also lead initiatives in computer vision and deploy models using AWS services .

Key Responsibilities

• Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Design and implement computer vision solutions using CNNs, object detection, and image segmentation techniques.
• Deploy machine learning models using AWS services such as SageMaker, Lambda, S3, and API Gateway.
• Perform feature engineering, model selection, and hyperparameter tuning.
• Analyze experimental results and iterate on model improvements.
• Collaborate with data engineers to ensure data pipelines are robust and scalable.
• Communicate technical findings to non-technical stakeholders.
• Stay updated with the latest research and trends in data science and AI.

Required Skills & Qualifications

• Masters or PhD in Computer Science, Statistics, Mathematics, or a related field.
• Strong programming skills in Python (pandas, scikit-learn, TensorFlow, PyTorch).
• Solid understanding of machine learning algorithms and statistical modeling.
• Hands-on experience with computer vision libraries such as OpenCV, TensorFlow, or PyTorch.
• Experience deploying models on AWS using services like SageMaker, Lambda, and S3.
• Familiarity with big data tools (e. g. , Spark, Hadoop) and cloud platforms.
• Proficiency in SQL and data wrangling.
• Strong communication and collaboration skills.

Mandatory Skills

• Data Scientist with Strong hands on skills in AI, ML models , computer Vision solutions, AWS Services , Python , Data Pipeline.

Vendor Billing range (local currency /Day) 11500 INR per day

Work Location Bangalore / Hyd Client office all 5 days resource need to work at client location Hybrid/Remote/WFO No BGV Pre/Post onboarding Pre Any particular shift timings No