Remote Ai engineer junior Jobs – 91 Open Jobs Today

Senior Data Engineer
Alimentiv —Remote
- ₹20,94,639 - ₹36,03,725 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
11h
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- Full-time
- Remote
- Analysis skills
- JavaScript
- Recruiting
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- Full-time
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- APIs
- Manufacturing
- AI
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GitLab —Remote
- Full-time
- Remote
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- Communication skills
- Health insurance
- Paid time off
Senior Data Engineer
Med-Metrix —Remote
- Full-time
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- Oracle
- Computer Science
- HIPAA
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Woliba —Remote
- Full-time
- Remote
- DevOps
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- Scripting
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- Full-time
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- Azure
- Computer Science
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Full Stack Developer(Python+React)-8+ Years
Trustfinity Service and Solution Pvt. Ltd. —Remote
- ₹50,00,000 - ₹60,00,000 a year
- Full-time
- Remote
- Computer Science
- SQL
- AWS
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WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Databases
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Engineering Manager - Conversations
HighLevel —Remote
- Remote
- Microsoft Outlook
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Chief Solution Architect
BigRio —Remote
- ₹40,00,000 - ₹60,00,000 a year
- Full-time
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- English
- Master's degree
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- Paid time off
- Work from home
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Automation Lead
OpenBots Inc. —Remote
- Remote
- Azure
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- Full-time
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Azure Data Platform Lead(India)
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HighLevel —Remote
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Full Stack Developer (RoR+React)-8+ Years
Trustfinity Service and Solution Pvt. Ltd. —Remote
- ₹50,00,000 - ₹60,00,000 a year
- Full-time
- Remote
- Computer Science
- SQL
- AWS
Quick apply
4d
Senior Data Scientist
Norstella —Remote
- Full-time
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- Bachelor's degree
- Health insurance
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PHP Laravel Developer
Miracuves —Remote
- ₹6,000 - ₹15,000 a month
- Full-time
- Remote
- Computer Science
- B.Sc
- Master's degree
- Work from home
- Paid sick time
Quick apply
Senior Network Project Manager
AHEAD —Remote
- Remote
- Azure
- PMP
- AWS
- Health insurance
- Paid time off

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Senior Data Engineer

Alimentiv -
Remote

Quick apply

Job details

Permanent | Full-time
₹20,94,639 - ₹36,03,725 a year
11 hours ago

Qualifications

BCS
CI/CD
Power BI
Azure
Computer Science
DevOps
Spark
HIPAA
Microsoft SQL Server
Git
Information Systems
Tableau
Master's degree
Databases
SQL
Statistical analysis
Bachelor's degree
Data management
Terraform
Continuous integration
REST
APIs
JSON
Metadata
AI
Communication skills

Full job description

The Lead Data Engineer will design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives. This role requires expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and the Azure ecosystem, with deep experience across data warehouses, data lakes, and real-time integration. The Lead Data Engineer will architect end-to-end pipelines using industry-standard tools, drive automation, and move solutions effectively into production. The incumbent will ensure compliance with data governance requirements (including GxP and HIPAA/GDPR) while building reusable, integrated pipelines and analytical models that promote self-service analytics. This role provides technical leadership across the team, mentors junior engineers, and partners with business stakeholders to align data engineering with organizational objectives.

About the Role

. Data Architecture & Engineering

Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.
Design, build, and maintain data pipelines from data sources through integration to consumption for specific use cases.
Implement robust data modeling standards across bronze, silver, and gold layers in the data lake.
Develop data models (conceptual, logical, and/or physical) as required.
Optimize Spark and SQL workloads for performance, scalability, and cost efficiency.
Manage metadata using data preparation, integration, and AI-enabled tools and techniques.

. Data Integration & Automation

Drive automation in data integration; recommend and lead implementation of techniques to automate repeatable data preparation and integration tasks.
Build API-based integrations (REST/JSON) and real-time ingestion frameworks.
Automate data workflows using Azure DevOps pipelines and Git-based CI/CD practices.
Implement parameterized, reusable pipeline templates for ingestion and transformation.
Develop automated unit, regression, and integration testing frameworks for data jobs.

. Analytics & Data Enablement

Prepare and curate high-quality datasets for BI, reporting, and advanced analytics.
Partner with analytics teams using Power BI, Tableau, or similar platforms to define semantic models and KPIs.
Implement performance-optimized data models for self-service analytics.
Will occasionally provide support to end users on the use of data visualization solutions.

Stakeholder Engagement & Leadership

Lead technical design reviews, mentor junior engineers, and promote best practices.
Assist cross-functional groups, business analysts, and stakeholders to gather, define, and refine data requirements.
Collaborate with business and IT stakeholders to align data engineering with organizational objectives.
Propose innovative data ingestion, preparation, and integration techniques to address stakeholder requirements.
Contribute to architectural roadmaps and technology evaluations for the data platform.
In collaboration with functional leaders, identify inefficiencies and recommend improvements to the executive team.

About You

Job Experience & Education Requirements:

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred)

And

5–8 years of experience designing and developing enterprise-scale data solutions (data warehouses, data lakes, operational databases)

Other:

Expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and Azure DevOps.
Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.
Strong experience with Microsoft Azure data management architectures including Data Warehouse, Data Lake, and Data Catalogue, and supporting processes such as Data Integration, Governance, and Metadata Management.
Experience with Power BI required; Tableau or Looker a plus.
Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM, Bicep, or Terraform).
Experience in life sciences or healthcare industries is a strong plus.
Good understanding of GxP, GDPR/HIPAA, and applicable CFR/CTR/CTD regulations.
Demonstrated success working with both IT and business stakeholders while integrating analytics and data science output into business processes and workflows.
Must have excellent written and verbal communication skills.
Proven ability to work independently and as part of a team and meet important deadlines.
Statistical analysis skills are an asset.

Commensurate with experience, and comprised of a base salary + Variable Target Incentive %

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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