Remote Ai engineer / machine learning engineer Jobs – 145 Open Jobs Today

SageMaker Unified Studio (SUS) Professional(Contract Role)
hirezy.ai —Remote
- ₹8,00,000 - ₹27,00,000 a year
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- SQL
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Freelance Software Engineers & Technology Consultants - 3+ Years | Remote Enterprise Projects |
Tatbac Technologies Pvt Ltd —Remote
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- Azure
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Senior Ai ml Engineer
Refill Health Pvt . Ltd —Remote
- Part-time
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AI/Data Engineer – Snowflake, DBT, Python Focus
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- Full-time
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Azure Data Engineer
VWorker Solutions India Pvt Ltd —Remote
- From ₹30,000 a month
- Monday to Friday
- Remote
- Azure
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- Master's degree
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Data Scientist / Advanced Data Analytics Specialist
Codvo.ai —Remote
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Python Developer – Web Scraping Specialist (2+ Years Experience)
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- Full-time
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Python Developer
Cyptrix —Remote
- ₹1,00,000 a month
- Full-time
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Azure Data Engineer
Techolution —Remote
- Full-time
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AIML trainer
Race pvt ltd —Remote
- From ₹9,435.51 a month
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- SQL
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- Cell phone reimbursement
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Senior Software Engineer IV - AI/ML
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MLOps & AIOps Engineer (GCP)
TECH NEXT —Remote
- ₹70,000 - ₹90,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
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13d
MLOps Engineer
Expertshub.ai —Remote
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AI Software Engineer (Python) - Bangalore, India
Zimperium —Remote
- Full-time
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Senior Generative AI Engineer (India)
Codvo.ai —Remote
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Pncpl DevOps Engineer — Citrix Infrastructure
Deltek, Inc. —Remote
- Remote
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11d
Senior Data Engineer (with AI/ML experience) India
IDT —Remote
- Full-time
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- Azure
- English
- Windows
Quick apply
Senior Software Engineer, Enterprise AI Enablement (Employer of Record)
Credit Acceptance —Remote
- ₹38.81 an hour
- Full-time
- Remote
- Computer Science
- System design
- Master's degree
1d

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SageMaker Unified Studio (SUS) Professional(Contract Role)

hirezy.ai
Remote

Quick apply

Job details

Contractual / Temporary
₹8,00,000 - ₹27,00,000 a year
11 days ago

Qualifications

CI/CD
Spark
SQL
AWS
Analysis skills
Machine learning
Terraform
Continuous integration
ETL
S3
Metadata
AI
Communication skills
Python
Identity & access management
Analytics

Full job description

Position Overview

We are seeking an experienced SageMaker Unified Studio (SUS) Professional with strong

expertise in building, validating, and governing enterprise data and AI platforms on AWS.

The ideal candidate should have hands-on experience implementing Amazon SageMaker

Unified Studio solutions and supporting modern data engineering and AI/ML workflows.

The candidate will work closely with cross-functional teams to design, implement, validate,

and manage scalable cloud-native data platforms while ensuring governance, security, and

compliance across the data lifecycle.

Key Responsibilities

 Design, implement, and support solutions using Amazon SageMaker Unified Studio

(SUS).

 Build and maintain enterprise data platforms leveraging AWS native services.

 Configure and manage AWS Glue, Data Catalog, and data ingestion pipelines.

 Implement data governance, metadata management, and access controls using AWS

governance services.

 Develop and manage analytical and AI/ML workflows using Jupyter Notebooks

within SageMaker Unified Studio.

 Perform solution validation, testing, and deployment of data platform components.

 Collaborate with data engineers, data scientists, architects, and business stakeholders

to deliver scalable cloud solutions.

 Support data cataloging, lineage, governance, and security best practices.

 Troubleshoot platform issues and optimize performance across AWS services.

 Participate in architecture discussions and contribute to platform modernization

initiatives.

Required Skills & Experience

 7–12+ years of experience in Data Engineering, Cloud Data Platforms, or AI/ML

Platform Engineering.

 Strong hands-on experience with Amazon SageMaker Unified Studio (SUS).

 Experience delivering end-to-end SageMaker Unified Studio implementations or

related AWS AI/ML platform projects.

 Strong understanding of platform validation and implementation best practices.

 Hands-on experience with:

o AWS Glue

o AWS Glue Data Catalog

o Data Validation

o Data Governance

o AWS IAM

o Amazon S3

 Experience creating and managing Jupyter Notebooks for data engineering,

analytics, and machine learning workloads.

 Strong knowledge of metadata management, cataloging, and governance frameworks.

 Experience working with enterprise-scale cloud data platforms.

 Proficiency in Python and SQL.

 Knowledge of ETL/ELT processes and modern data architectures.

 Familiarity with AWS security, access management, and compliance standards.

Preferred Skills

 Experience with AWS Lake Formation.

 Exposure to Amazon SageMaker Pipelines and MLOps practices.

 Experience with DataOps and CI/CD implementations.

 Knowledge of Apache Spark or Databricks.

 Understanding of Data Lakehouse architectures.

 Experience working with Infrastructure as Code (Terraform or CloudFormation).

Preferred Domain Experience

Candidates with experience in Life Sciences, Pharmaceuticals, Biotechnology, or

Healthcare environments will be preferred.

Ideal Candidate Profile

 Proven experience implementing and supporting Amazon SageMaker Unified

Studio environments.

 Strong expertise in AWS Glue, Data Catalog, Governance, and Validation.

 Hands-on experience using Jupyter Notebooks for analytics and AI/ML

development.

 Strong analytical and problem-solving abilities.

 Excellent communication and stakeholder management skills.

 Ability to work independently in enterprise cloud environments.

Primary Skills

 Amazon SageMaker Unified Studio (SUS)

 AWS Glue

 AWS Glue Data Catalog

 Data Governance

 Data Validation

 Jupyter Notebooks

 AWS IAM

 Amazon S3

 Python

 SQL

Pay: ₹800,000.00 - ₹2,700,000.00 per year

Work Location: Remote

Quick apply

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