Remote Staff backend engineer, software supply chain security Jobs – 22 Open Jobs Today

Senior Data Scientist
Technology Next —Remote
- ₹1,00,000 - ₹1,50,000 a month
- Full-time
- Remote
- AWS
- Analysis skills
- Machine learning
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12d
Sr. Engineer - Golang
MNJ Software —Remote
- Full-time
- Remote
- Computer Science
- B.Sc
- English
- Work from home

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Senior Data Scientist

Technology Next
Remote

Quick apply

Job details

Full-time | Contractual / Temporary
₹1,00,000 - ₹1,50,000 a month
12 days ago

Qualifications

CI/CD
Software deployment
Survival analysis
AWS
Analysis skills
Machine learning
Continuous integration
Forecasting
Scrum
APIs
Agile
Predictive analytics
S3
Data science
Training & development
Redshift
AI
Communication skills
Python
Identity & access management

Full job description

Job Type: Contract (6 Months)
Experience: 6–10 Years
Work Location: Remote
Shift Timing: Start around 7:00–7:30 AM IST

Job Summary

We are seeking an experienced Senior Data Scientist to join our team and lead the development of advanced Machine Learning, Artificial Intelligence, and predictive analytics solutions. The ideal candidate will have strong expertise in building production-grade ML models, working with AWS AI/ML services, and translating complex business problems into scalable data-driven solutions.

This role requires hands-on experience with AWS SageMaker, Amazon Bedrock, Python, MLOps, and advanced statistical modeling to support enterprise-scale AI initiatives.

Key Responsibilities

Design, develop, and deploy Machine Learning models for forecasting, demand prediction, customer churn, and behavioral analytics.
Build scalable predictive analytics solutions using statistical modeling and machine learning techniques.
Develop, train, evaluate, and optimize ML models for production environments.
Collaborate with data engineers and software development teams to deploy models using AWS SageMaker Pipelines.
Integrate and evaluate Foundation Models using Amazon Bedrock APIs.
Perform feature engineering, data preprocessing, and model validation.
Monitor model performance, identify drift, and implement continuous improvements.
Build and maintain scalable MLOps pipelines and feature stores.
Work with structured and unstructured datasets to derive actionable business insights.
Communicate technical findings effectively to business stakeholders and leadership.
Follow cloud security, governance, and AI best practices.

Required SkillsMachine Learning & Data Science

6–10 years of experience in Data Science and Machine Learning.
Strong proficiency in Python.
Experience with:
Machine Learning model development and deployment
Statistical Modeling
Feature Engineering
Model Monitoring and Performance Optimization
Predictive Analytics

Domain Expertise (One or More)

Time Series Forecasting (Prophet, ARIMA, LSTM, or similar)
Customer Behavior Analytics
Churn Prediction
Survival Analysis
Supply Chain Analytics
Demand Forecasting
Inventory Optimization

Mandatory AWS Skills

AWS SageMaker (Pipelines, Model Registry, Endpoints)
Amazon Bedrock
Amazon S3
AWS Glue
Amazon Athena
AWS Lambda
AWS Step Functions
Amazon Redshift

Cloud & Platform Experience

Deploying Machine Learning solutions on AWS
Foundation Model integration using Amazon Bedrock
Data transformation and analytics using AWS services
MLOps implementation and automation
IAM Roles, VPC Configuration, and AWS Security Best Practices

Preferred Qualifications

Experience with production-scale Machine Learning deployments.
Experience implementing Feature Stores.
Strong understanding of MLOps frameworks and CI/CD for ML.
Experience delivering enterprise AI/ML solutions.
Knowledge of Generative AI and Foundation Models.
Experience working in Agile/Scrum environments.

Soft Skills

Strong analytical and problem-solving abilities.
Excellent verbal and written communication skills.
Ability to explain technical concepts to non-technical stakeholders.
Self-motivated and capable of working independently in a remote environment.
Strong collaboration and stakeholder management skills.
Passion for AI, Machine Learning, and continuous learning.

Pay: ₹100,000.00 - ₹150,000.00 per month

Experience:

Python: 6 years (Required)
Data science: 8 years (Required)

Work Location: Remote

Quick apply

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Senior Data Scientist

Sr. Engineer - Golang

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