Requirements

Shopify  Developer Needed (3 to 7 yrs experience, multiple profile will work in that experience range)
Remote, IST 10 to 7 timing, 3 months

Job Description: Must have experience in o Shopify Plus o B2B set up o Hydrogen Storefront o Headless commerce using Shopify Storefront/GraphQL APIs & frontend tech like React JS, Liquid o Understanding of Manufacturing domain

Please share profile with their monthly range

Skill Set

• Reactjs
• Shopify

Requirements

Position: Principal AI Integration Engineer
On-Site, Magarpatta Pune, 3 - 6 months
Role Overview
Principal AI Integration Engineer to serve as a dedicated technical resource for customers AI program. This individual will lead integration efforts between AI platforms and enterprise IT systems, ensuring robust, secure, and compliant deployment. The role combines advanced hands-on engineering with strategic oversight of integrations, governance, and support processes.
Key Responsibilities
Own the end-to-end integration of AI solutions into enterprise and other IT systems.
Lead design and implementation of data pipelines, APIs, and middleware supporting AI workflows.
Establish governance and compliance frameworks for AI solution deployment (HIPAA, ISO 13485, FDA 21 CFR Part 11).
Collaborate with cross-functional stakeholders (AI teams, IT, compliance, and business units) to align solutions with organizational needs.
Ensure system reliability, scalability, and long-term maintainability of AI integrations.
Prepare and maintain documentation of architectures, workflows, and support processes.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8+ years of experience in system integration, enterprise IT, or AI/ML deployment, with at least 3 years in a senior/principal capacity.
Deep expertise in APIs, middleware, and cloud-based integration platforms.
Strong background in AI/ML deployment, data pipelines, and monitoring frameworks.
Familiarity with healthcare/medical device compliance (HIPAA, ISO 13485, FDA Part 11).
Excellent communication and leadership skills, with ability to collaborate across technical and business stakeholders.
Preferred Skills
Proficiency in Python, SQL, and integration frameworks.
Experience with healthcare interoperability standards (HL7, FHIR).
Hands-on with ServiceNow, JIRA, or other ITSM tools.
Knowledge of AI frameworks like PyTorch / Langchain
Familiarity with cloud platforms to integrate AI models and deploy solutions.
Knowledge of working on Docker  / Kubernetes for building scalable distributed systems

Skill Set

• Artificial Intelligence
• Docker
• ITSM
• Kubernetes
• Python
• PyTorch
• Sql

Requirements

Hi Team, 
Let me know if you have AI/ML Engineers available for Bangalore Location. 

1. Good knowledge on developing AI solutions like classical AI/ML, NLP, GenAI, Regression etc.
2. Good knowledge deep learning and computer vision concepts
3. Experience in AI/ML environment setup in CPUs, GPUs and model deployments, inferencing
4. Build, deploy and operationalize machine learning (ML) and AI pipeline.
5. Experience in LLMs prompting techniques, developing AI agents workflow
6. Good knowledge on data extraction from diverse data sources documents, audio, video and create vector knowledge base
7. Good python programming skills, developing REST APIs and containerization using Docker
Experience - 4-6 years

Skill Set

• Application Programming Interface (API)
• Artificial Intelligence
• Docker
• Gen AI
• Machine Learning

Requirements

Job Title- Mern Developer
Experience level – 4-6years
Job Location – HSR Layout , Bangalore,
Job Type – Contractual

Requirements
·         Strong knowledge and experience in PWA, ReactJS, NodeJS, TypeScript,  and API development.
·         Expertise in designing and developing scalable systems using the mentioned technologies.
 
Good-to-Have Skills
·         Familiarity with AWS and experience in setting up CI/CD pipelines.
·         Experience Range 3-6 years (though exceptional candidates with fewer years of experience will also be considered).
·         Deployment Environment AWS cloud environment with CI/CD pipeline setup and Git-based collaboration.

Skill Set

• Aws
• CI/CD
• Nodejs
• Reactjs
• Typescript

Requirements

Shopify Developer

Skill Set

• Shopify

Requirements

Angular + Ionic Developer

Skill Set

• Angular

Requirements

Java spring boot micro services 
react redix Micro services 
Bangalore hybrid 
Experience 4 years

Skill Set

• Java
• Microservices
• Spring Boot

Requirements

SME      
Experience 10+ Years,    
Resource: 1    
Location: Remote 
Skills: Requires that any candidate know the M365 Collaboration environment. SharePoint Online, MS Teams. Exchange Online, Entra and Purview. Need developer that possess a strong understanding of Data Structure, Problem Solving abilities, SQL, PowerShell, MS Teams App Development, Python, Visual Basic, C##, JavaScript, Java, HTML, PHP, C.  
 Need a strong understanding of the development lifecycle, and possess debugging skills time management, business acumen, and have a positive attitude is a must and open to continual growth."    Remote

Skill Set

• C#
• Dynamics 365 environments
• HyperText Markup Language (HTML)
• JavaScript
• PHP
• Python
• Sharepoint
• Sql

Requirements

Let me know if you have AI/ML Engineers available for Bangalore Location. 

1. Good knowledge on developing AI solutions like classical AI/ML, NLP, GenAI, Regression etc.
2. Good knowledge deep learning and computer vision concepts
3. Experience in AI/ML environment setup in CPUs, GPUs and model deployments, inferencing
4. Build, deploy and operationalize machine learning (ML) and AI pipeline.
5. Experience in LLMs prompting techniques, developing AI agents workflow
6. Good knowledge on data extraction from diverse data sources documents, audio, video and create vector knowledge base
7. Good python programming skills, developing REST APIs and containerization using Docker
Experience - 4-6 years

Skill Set

• Artificial Intelligence
• Docker

Requirements

We are looking for an accomplished Senior Data Engineer with extensive hands-on experience in Databricks and Lakehouse architecture (minimum 5 years) to join our data team in the consumer finance domain. This position involves owning the end-to-end lifecycle of data solutions—from requirement analysis and technical design to implementation, performance tuning, and continuous delivery

Role Overview

The candidate will be responsible for building scalable, secure, and high-performance data platforms that support advanced analytics and business intelligence needs. A major part of the role includes designing CI/CD frameworks that ensure smooth deployment of data pipelines and reliable operations across environments.

What You’ll Do

• Architect, develop, and enhance data platforms using Databricks and Lakehouse patterns for large and complex data workloads.
• Build and maintain CI/CD workflows to support automated delivery and stable production environments.
• Work closely with cross-functional teams (preferably Finance) to interpret business requirements, map distributed data flows, and convert them into effective technical solutions.
• Administer and optimize data storage and compute layers with a focus on performance and cost efficiency.
• Create, document, and maintain ETL/ELT pipelines for ingesting, transforming, and loading structured and unstructured data.
• Ensure security, privacy, and compliance for all financial datasets handled within the platform.
• Diagnose and resolve issues related to data pipelines and infrastructure to maintain high availability.
• Research and adopt emerging tools/technologies to improve workflows and engineering standards.
• Provide mentoring and technical guidance to junior members of the team.
• Contribute to long-term planning for future data infrastructure and data architecture evolution.

What We’re Looking For

• Bachelor’s degree in Computer Science, IT, or related field (Master’s is an advantage).
• 5+ years working as a Data Engineer or similar role within the financial sector, with exposure to consumer finance data.
• Advanced knowledge of Databricks for engineering and analytics workloads.
• Deep hands-on experience with Lakehouse engineering and performance optimization.
• Strong programming ability in Python.
• Practical experience designing and maintaining CI/CD pipelines for data solutions.
• Familiarity with major cloud platforms such as AWS, Azure, or GCP, and their data ecosystems.
• Solid grounding in data warehousing (Snowflake, Redshift, etc.).
• Thorough understanding of ETL/ELT frameworks and best practices.
• Experience creating visual analytics using Power BI or similar BI tools.
• Exposure to big data technologies including Spark.
• Structured problem-solving approach and ownership mindset.
• Excellent communication skills to present technical work to both technical and non-technical stakeholders.

Nice to Have

• Certifications in Databricks or major cloud platforms.
• Experience building ML pipelines and deploying models to production.
• Awareness of finance-specific data compliance standards (GDPR, PCI-DSS, etc.).
• Experience working in Agile environments such as Scrum/Kanban

Skill Set

• Aws
• Azure
• CI/CD
• Data Engineer
• ETL
• GCP
• PowerBI