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

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

Requirements

Job Title: Commerce Cloud B2B Architect
Job Overview

We are seeking an experienced Commerce Cloud B2B Architect to lead the design and delivery of scalable, high-performance B2B e-commerce solutions. The ideal candidate will have hands-on expertise in Salesforce Commerce Cloud (SFCC), strong architectural skills, and the ability to collaborate effectively with cross-functional teams. This role requires deep technical knowledge, solution design capabilities, and strong consulting experience.

Key Responsibilities

Lead the architecture, design, and end-to-end solutioning for Salesforce B2B Commerce Cloud implementations.

Define technical standards, architectural best practices, and integration strategies for enterprise-scale B2B platforms.

Translate business requirements into scalable, secure, and high-performing technical architectures.

Collaborate closely with product owners, developers, UX teams, and business stakeholders to ensure alignment on solution design.

Oversee development activities, conduct code reviews, and ensure delivery quality across all technical components.

Optimize system performance, data flows, caching mechanisms, and API utilization.

Ensure all security, compliance, and integration frameworks align with enterprise architecture.

Lead integration design with ERP, OMS, CRM, Payment Gateways, and other backend systems using APIs and middleware.

Provide technical consulting, architectural guidance, and troubleshooting support during the project lifecycle.

Requirements

8+ years of overall IT experience.

Minimum 3+ years of hands-on experience in Salesforce Commerce Cloud (B2B Commerce / B2B2C).

Strong background in solution architecture, system design, and enterprise integrations.

Proven experience working with APIs, integration patterns, and backend systems such as ERP, CRM, OMS, etc.

In-depth knowledge of SFCC data models, workflows, customizations, and cartridge development.

Experience with multi-site, multi-currency, and complex B2B commerce functionalities.

Strong consulting mindset with the ability to engage and influence stakeholders.

Excellent communication, documentation, and client-facing skills.

Ability to work in US time zone, with availability starting from 2–3 PM IST.

Good-to-Have Skills

Experience with headless commerce or composable commerce architectures.

Familiarity with the broader Salesforce ecosystem (Sales Cloud, Service Cloud, Experience Cloud).

Knowledge of DevOps practices, CI/CD pipelines, and cloud-native architecture. us timezone It will be full time monthly

Min 6 months after 1 month trial
1 month billable trail.

Skill Set

• Application Programming Interface (API)
• B2B Commerce Cloud Lightning
• CI/CD
• Dynamic CRM implementation
• MFG/Pro (ERP)
• Salesforce Commerce Cloud

Requirements

*Integration Architect* single round 
*Location – Remote*
*Timing – 4pm – 1am IST*

*Duration – 6 months, can be extended*
*Experience – 8-12 yrs* .

Role
Lead the design and delivery of integrations using IBM App Connect Enterprise, IBM MQ,
Managed File Transfer platforms and SAP. Work across IT and business teams. Guide
development and ensure stable, secure, and scalable integrations.
Responsibilities
 Design, develop and document integration patterns for services, events, and batch
workflows.
 Build and review integrations involving application, file, and message flows.
 Support development, testing, deployment, and operational handoff.
 Maintain standards for logging, security, naming, and error handling.
 Work with stakeholders to clarify requirements and refine user stories.
 Lead sprint planning, daily stand-ups, reviews, and retrospectives.
 Oversee code reviews, resolve issues, and track delivery progress.
 Improve reliability, performance, and support readiness.
 Coordinate work across onshore and offshore teams.
 Provide clear status updates and follow compliance requirements.
Required Skills
 Strong experience with IBM App Connect Enterprise V11 or higher.
 Strong experience with IBM MQ.
 Managed File Transfer experience with Cleo OR Globalscape preferred
 SAP integration experience with RFC, IDoc, and API-driven interfaces.
 Experience working with publish-subscribe, message-based and database integrations.
 Hands-on ESQL, Javae experience for building integration components and utilities.
 Monitoring experience with Splunk and DataDog a plus.
 Experience with REST, SOAP, and event-driven messaging patterns.

Skill Set

• SAP EMS

Requirements

Role: Solutions Architect – Solution Architect in .Net and ReactJS on Cloud (Azure & AWS)
Job description:
As a Solution Architect in .NET Core and ReactJS, you are responsible for designing and guiding the
development of full-stack software solutions that combine .NET Core on the backend and ReactJS on the
frontend. This role involves collaborating with cross-functional teams, understanding business
requirements, and translating them into technical solutions. The Solution Architect plays a crucial role in
ensuring that the software system is scalable, maintainable, and aligned with best practices.

Responsibilities:
 Solution Design:
o Collaborate with stakeholders, including business analysts, product owners, and developers,
to understand project requirements.
o Create high-level and detailed technical designs that outline the architecture, components,
and data flow of the solution.
o Ensure that the proposed architecture aligns with best practices, security standards, and
scalability requirements.
 Technology Selection:
o Evaluate and select appropriate technologies, frameworks, and libraries for both the
backend (.NET Core) and frontend (ReactJS) components.
o Stay updated on the latest trends and advancements in .NET Core and ReactJS to make
informed technology choices.

 Development Guidance:
o Provide technical leadership and guidance to development teams throughout the software
development lifecycle.
o Review code and ensure that it adheres to architectural guidelines, coding standards, and
best practices.
 Scalability and Performance:
o Design the system to be scalable and performant, considering factors such as load
balancing, caching, and database optimization.
o Identify and address potential bottlenecks in the architecture to ensure optimal system
performance.
 Security and Compliance:
o Design the system to be scalable and performant, considering factors such as load
balancing, caching, and database optimization.
o Identify and address potential bottlenecks in the architecture to ensure optimal system
performance.
 Documentation:
o Design the system to be scalable and performant, considering factors such as load
balancing, caching, and database optimization.
o Identify and address potential bottlenecks in the architecture to ensure optimal system
performance.
 Communication:
o Design the system to be scalable and performant, considering factors such as load
balancing, caching, and database optimization.
o Identify and address potential bottlenecks in the architecture to ensure optimal system
performance.

Skills
 Proven experience (min 3+ years) as Solution Architect in focus in .Net Core in C# and ReactJS.
 Proven hands-on experience (Min 5+ years) in .Net Core in C# and ReactJS.
 Proven experience in solution design in cloud native and micro-services architecture
 Familiarity with the .NET and .NET Core framework and design/architectural patterns (e.g. Model-
View-Controller (MVC) and Entity framework)
 Strong understanding of web development fundamentals, including HTML, CSS, and JavaScript.
 Experience with front-end state management libraries (e.g., Redux) and front-end build tools
(Webpack, Babel, etc.).
 Proficiency in designing and consuming RESTful APIs.
 Solid knowledge of database systems, SQL, and data modeling.
 Proven experience in creating quality SQL store procedures and scripts
 Familiarity with version control systems (e.g., Git) and agile development methodologies.
 Excellent understanding of OWASP standards
 Strong problem-solving skills and the ability to work effectively in a collaborative team environment.
 Excellent communication skills, both written and verbal.
 Experience using IDE tools like Visual Studio

Education and Certification
 Bachelors or Master degree in IT discipline
 Certification in Microsoft: Azure Developer Associate or Azure Solution Architect Expert are must.
 Certification in AWS: AWS Certified Developer or AWS Solution Architect are must.
What we need to see from you
 Report to practice lead.
 Work within agile team to develop and test applications
 Provide technical leadership to the development team
 Excellent problem-solving skills and the ability to think critically.
 Design, develop, and unit test applications in accordance with established standards.
 Assist senior developer(s) in analyzing and resolving technical issues.
 Assist in preparing manuals, specification and other technical documentations.
 Package and support deployment releases.
 Developing, refining, and tuning integrations between applications.
 Assisting in the collection and documentation of user's requirements, development of user stories,

Skill Set

• .NET
• Aws
• Azure
• LLM architectures
• Sql

Requirements

Job Role — DATA SCIENTIST / AI SPECIALIST 

Location – Remote  

Experience – 7 + years  

We are seeking a highly capable Data Scientist / AI Specialist to lead the development of advanced analytics and machine-learning techniques for our gravimetry and magnetometry project. 

You will design and build the full data pipeline, working directly with other scientist's engineers to deliver the core technical output.   

KEY RESPONSIBILITIES 

1. Data Processing & Signal Analysis 

Process raw gravity, magnetic, IMU, and GNSS sensor data. 

Develop filtering, denoising, drift correction, vibration correction, and resampling pipelines. 

Convert time-series sensor outputs into calibrated spatial anomaly profiles. 

2. Simulation & Synthetic Data Development 

Generate synthetic datasets from physics-based forward models. 

Add realistic noise (instrument, environmental, vibration) to training data. 

Create labelled hazard-detection datasets covering voids, water ingress, weak zones, utilities, etc. 

3. Machine Learning & Anomaly Detection 

Design, train, and evaluate models for: 

anomaly detection 

classification of subsurface hazards 

uncertainty quantification 

Use classical ML (Random Forest, XGBoost, SVM) and deep learning (CNNs, LSTMs, autoencoders, transformers). 

Develop semi-supervised and unsupervised models for scarce labelled data. 

4. Multi-Sensor Data Fusion 

Build fusion architectures that combine: 

Data A 

Data B 

Data C 

Data D 

Implement early, mid-level, and late fusion strategies. 

Estimate anomaly probability scores with confidence intervals. 

5. Spatial Analytics & Geospatial Modelling 

Convert anomaly scores into geospatial hazard maps. 

Use GIS tools (QGIS/ArcGIS) for spatial interpolation and corridor mapping. 

Assist in building 1D/2D/3D visualisations for end-users. 

6. Technical Reporting & Demonstration 

Document all pipelines, algorithms, and findings. 

Support feasibility reporting business case. 

ESSENTIAL SKILLS & EXPERIENCE 

AI / Machine Learning 

Strong expertise in Python (NumPy, SciPy, Pandas, PyTorch and/or TensorFlow). 

Experience with time-series modelling, anomaly detection, and deep learning architectures. 

Experience designing ML pipelines from scratch. 

Signal Processing 

Proficiency in filtering, PSD analysis, spectral methods, and Kalman filtering. 

Experience handling noisy, multi-sensor, real-world measurement data. 

Geospatial / Modelling 

Ability to work with spatial data (GIS, coordinate transforms, DEMs). 

Experience with geophysical modelling or physical-simulation-driven ML (advantage). 

Software Engineering 

Ability to write clean, reproducible, version-controlled scientific code. 

Experience building modular ML pipelines. 

Communication 

Ability to write technical documentation clearly. 

Comfortable working with physicists, engineers, and project managers. 

DESIRABLE SKILLS (Nice to Have) 

Experience with gravity/magnetic modelling (Fatiando a Terra, GemPy, Oasis Montaj). 

Background in geophysics, quantum sensing, or engineering physics. 

Knowledge of data fusion techniques and Bayesian modelling. 

Experience working with any of: 

quantum sensors 

inertial navigation 

UAV/drone survey data 

transport, geotechnical, or civil infrastructure projects 

   examples of relevant projects

Skill Set

• Artificial Intelligence
• Data Science
• Machine Learning
• Python
• PyTorch

Requirements

Data Engineer – Job Description
Position: Data Engineer
Department: Data & AI
ROLE OVERVIEW
Responsible for designing and maintaining scalable data pipelines on Microsoft Fabric and
Azure. Focus includes ingesting structured, semi-structured, and unstructured data,
managing OneLake/Delta Lake, and implementing CI/CD-driven deployments for analytics
and AI workloads.
KEY RESPONSIBILITIES
- Design and build end-to-end pipelines across Bronze, Silver, and Gold layers in Microsoft
Fabric.
- Ingest and transform structured (SQL), semi-structured (JSON, Parquet, CSV), and
unstructured data (PDFs, logs, images).
- Develop Fabric Dataflows Gen2, Spark notebooks, and Data Pipelines for batch or near-
real-time ingestion.
- Manage OneLake and Delta Lake tables (partitioning, schema evolution, performance
tuning).
- Implement data quality checks, metadata tagging, lineage, and logging processes.
- Integrate curated data with Power BI semantic models and downstream AI workloads.
- Apply governance using Microsoft Purview, including sensitivity labels and lineage
tracking.
- Configure secure data access using RLS, ACLs, and Azure Key Vault integration.
- Implement CI/CD pipelines for Fabric, ADF, Synapse, or Databricks workloads using Azure
DevOps or GitHub Actions.
- Manage version control, branching strategies, automated testing, and deployment
workflows.
- Monitor data pipelines using Monitoring Hub, Azure Monitor, and Log Analytics.
QUALIFICATIONS
- Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or related
field.

- Minimum 3 years of experience building data pipelines in Azure or Microsoft Fabric.
- Strong hands-on experience with SQL, PySpark, Delta Lake, and ETL/ELT frameworks.
- Experience with Git-based workflows and Azure DevOps or GitHub Actions CI/CD.
- Familiarity with ADF, Synapse, Databricks, or Fabric Data Pipelines.
- Understanding of data lakehouse principles, schema evolution, and pipeline performance
optimization.
PREFERRED SKILLS
- Experience supporting data preparation for ML/LLM workloads.
- Python automation for testing, data validation, or deployment tasks.
- Exposure to Fabric integration with AI Foundry or RAG-related data flows.

Skill Set

• Azure
• CI/CD
• Data Engineer
• ETL
• Sql

Requirements

AI Engineer – Job Description
Position: AI Engineer
Department: Data & AI
ROLE OVERVIEW
Responsible for delivering AI applications using Azure AI Foundry, Azure OpenAI, Azure
Machine Learning, and Microsoft Fabric. Focus includes LLM integration, RAG pipelines,
agentic AI workflows, machine learning model deployment, and chatbot interfaces built on
Streamlit or FastAPI.
KEY RESPONSIBILITIES
- Build enterprise AI solutions using Azure AI Foundry (prompt flow, evaluations,
knowledge bases, model catalog).
- Design and deploy LLM- and RAG-based solutions using Azure OpenAI and Azure AI Search
(Vector DB).
- Develop Agentic AI capabilities including tool-calling agents, workflow automation, and
multi-agent systems.
- Create chatbot and AI interfaces using Streamlit or FastAPI integrated with backend data
and APIs.
- Train, fine-tune, or integrate ML/LLM models using Azure Machine Learning for
deployment and inference.
- Integrate AI workloads with Microsoft Fabric datasets, semantic models, and OneLake.
- Tune prompts, grounding strategies, system messages, and model parameters.
- Implement PDPA-aligned governance and secure deployment using Purview and Key
Vault.
- Support CI/CD pipelines for prompt flows, agents, ML/LLM models, and AI applications.
QUALIFICATIONS
- Bachelor’s Degree in Computer Science, AI, Data Science, or related field.
- Minimum 3 years of experience building AI/ML applications.
- Hands-on experience with Azure AI Foundry (prompt flow, knowledge bases, evaluations).
- Strong experience with LLMs, Azure OpenAI, and Azure AI Search.

- Experience with Azure Machine Learning for model training, endpoints, and deployment.
- Proficiency in Python and frameworks such as Streamlit or FastAPI.
- Understanding of enterprise data platforms (Fabric, Synapse, Data Lakes).
PREFERRED SKILLS
- Experience with Agentic AI frameworks (Azure AI Agents, LangChain, Semantic Kernel,
Copilot Studio).
- Experience deploying ML/LLM models to Azure ML Managed Endpoints or AKS.
- Familiarity with Purview, Key Vault, and enterprise AI governance.

Skill Set

• Artificial Intelligence
• Azure
• Data Science
• Fast API

Requirements

Flutter Developer 
Location : Remote 
Experience : 3-5 Years 

Skills : Flutter, Android, State Management, End-to-end deployment, API Integration. 

Please let me know if you have profile available for the same.

Skill Set

• Android
• Application Programming Interface (API)
• Flutter