
- This role sits within the project management vertical of the organization. It will support the project delivery and execution of project tasks related to clients and is expected to bring an understanding of the importance of data in value creation and process efficiency, alongside demonstrated success working as part of a team.
- Assumes responsibility for maintaining documentary support of projects and delivery of assigned project tasks. Supports ongoing administrative and compliance activities in the team, identifying issues and proposing solutions.
- The position is very hands-on and requires an energetic self-starter and innovative team player, comfortable with an agile way of project delivery. Willingness to undertake varied tasks, apply thought processes to data management and process improvement, share ideas, and work resolution of issues with customers and internal teams.
- This role must develop strong working relationships with the development team for product support.
RESPONSIBILITIES
- Execute the delivery of customer project tasks, processes, and solutions, especially within the SAP IAM/ASPM platform, including maintaining a project office and status reporting using MS office & internal project management tools up to intermediate skill level with MS Excel, PowerPoint, and MS Word
- Utilize Excel and database skills to execute project tasks involving data mining and normalization for agile delivery
- Demonstrate technical aptitude to execute project activities
- Provide resolution to client’s support tickets through customer interaction and communication
- Interact with customers through defined communication channels for any information
- Create and edit customer Power BI reports as per the client’s business needs
- Support development of training material as per the requirements
- Testing AsInt’s applications with the support of the development team
- Document management and versioning for up-to-date documentation
- Have the desire and ability to work in a fast-paced agile project delivery environment
EXPERIENCE :
- 2 to 5 years of strong project management experience, preferably in SAP product implementation.
- BE or B. Tech degree with a minimum of 2 years of professional project delivery experience
- Advanced Excel skills for data mining and normalization. Must be able to write excel formulas and VBA Macros, create graphs and visualizations
- Power BI intermediate level proficiency – Create basic visualization as an end user
- MS Access for data management
- Excellent communication (Good Verbal, Written, and Presentation) and soft skills for client interaction
- Basic SQL query
- Application Testing from an end user perspective to create test scenarios
- Working in Agile Methodology
GOOD TO HAVE
- SAP Intelligent Asset Management product basic hands-on as an end-user
- Basic Asset Management understanding

About Asint Inc
About
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Job Title : AI Consulting Lead (Principal)
Experience : 8 to 12+ Years
Location : Mumbai (Andheri West)
Work Mode : On-site
Employment Type : Full-time Opportunity
Role Overview :
We are looking for an experienced AI Consulting Lead to drive enterprise AI transformation initiatives.
The role involves working closely with CXOs to convert AI ambitions into ROI-driven programs, designing scalable AI solutions, and leading end-to-end delivery of transformation projects.
Mandatory Skills :
AI Strategy, Generative AI, LLMs, RAG, Agentic AI, Enterprise AI Transformation, Program Delivery, Stakeholder Management, Digital Transformation, Consulting.
Key Responsibilities :
- Engage with senior stakeholders to identify AI-led business transformation opportunities.
- Design and manage large-scale consulting programs including scope, pricing, and governance.
- Collaborate with AI architects to implement agentic AI solutions (LLMs, RAG, AI agents, automation).
- Lead 6–8 week pilot deployments and scale successful use cases across business functions.
- Manage client relationships, program delivery, and account growth.
- Develop reusable consulting frameworks, playbooks, and transformation standards.
Requirements :
- 8 to 12+ years of experience in management consulting, digital transformation, or technology consulting.
- Proven experience leading enterprise transformation programs.
- Strong understanding of LLMs, AI agents, RAG architectures, and enterprise AI platforms.
- Excellent stakeholder management and CXO-level communication skills.
Nice to Have :
- Experience with LangChain, AutoGen, CrewAI, or Vector Databases.
- Domain exposure in HR, Finance, Manufacturing, or Supply Chain.
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Roles & Responsibilities:
- Prepare and maintain E-commerce reports.
- Performing analysis to assess quality and meaning of data
- Preparing reports for the management stating trends, patterns, and predictions using relevant data
- Streamlining communication channels between Sales, Operations, Accounts and other teams.
- Build relationships with Marketplace Sellers/logistics partners/third party vendor/ payment gateways.
- Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Assist Marketplace Seller to List product and execute orders.
- Process improvement and simplification.
- Maintain TAT as per set guidelines, to ensure smooth and timely operations.
- Creation of monthly & quarterly PnL
Requirement:
- Overall Experience: Minimum 2 years of experience in data analyst.
- Industry Experience: Fashion / Lifestyle / Retail
- Educational Qualification: Graduation / Post Graduation
- Behavioural Skills: Effective communication skills, prompt & proactive approach and eye for detail.
- Technical Skills: MS Office, Ecommerce metrics and customer focused.
- High-energy, results oriented individual to manage to work in a fast paced environment with quickly changing priorities, strategic approach
Job Location: Bangalore/Mumbai
A Computer Scientist/Engineer designs, develops, tests, and integrates computer software and hardware systems. This pivotal role blends deep knowledge of computer architecture with advanced software engineering—driving innovation in platforms spanning from embedded systems and networks to AI and cybersecurity
-
Experience as a SAP Consultant with at least one end-to-end SAP implementation project.
-
Hands on experience in the requirements gathering/ fit-gap, design/blueprinting and configuration/customization phase of SAP transformation programs.
-
Deep understanding of business processes as well as good knowledge of technical issues in the area of financial modules.
-
Very good command of English.
-
Team management and project management skills as an asset.
Excellent communication skills
Excellent presentation skills.
The ability to handle pressure and meet deadlines
Quick Learning Ability
JOB DESCRIPTION
Responsible for generating sales with new/existing customers.
Developing opportunities with new customers
Reaching the targets and goals set for your profile.
Establishing, maintaining and expanding your customer base.
Increasing business opportunities through various routes to market
Follow up on the database / leads provided by Company.
Keeping up to date with products and competitors
Meeting With Clients on field
Report on sales activities to top management.

Essential Duties and Responsibilities
- Contribute in all phases of the development lifecycle
- Write well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
Adhere to Experian policies and procedures
- Work under the Experian behaviors and values
- Facilitate and drive performance management processes
- Champion a culture where the fair treatment of customers is at the heart of the Experian business
- Ensure that by leading by example, you adhere to all regulatory requirements and apply appropriate controls in the interests of customers
- Through the adoption of a top down approach, demonstrate a culture where all our people understand their regulatory obligations, including what the fair treatment of customer’s means to them and our organization
Qualifications
- Should have years of experience in developing and supporting Java/J2EE based application
- Should provide consultation on new development, enhancements, bug fixes and deployment and involve in complete product life cycle
- Should undertake any development/coding activities that might require during project life cycle
- Should have good core java concept like Collection, Multi-Threading JDBC File handling etc.
- Should have experience in Spring, Spring Boot, JPA, Hibernate
- Should have experience in Web service testing tool like SOAP UI, PostMan
- Should have working experience with database like Oracle, MSSQL Server, MySQL
- Should have enriched experience in client interfacing
- Should have good communication skills
Technologies
- Java, Java EE
- Spring, Spring Boot, JPA, Hibernate
- Java Multi-Threading
- Web service using SOAP/REST
- JIRA, Confluence, Bitbucket
- Oracle, SQL Server, MySQL
- WebLogic, Tomcat , JBOSS
- Spend most of your time developing brand new software in Python
- Build out a secure data replication infrastructure to replicate transactional data across a hierarchical system
- Build out APIs for supporting a fleet of 20k devices
- Build out a configurable data analytics and reporting framework
- Build out real time dashboards for getting a high level and deep dive view of the overall system
- Be responsible for independently designing and building out modules of the overall system
- Work with a team of smart peers and take ownership of the resulting system
- Push yourselves, create impact, learn and grow as an engineer







