Tech Lead

We are looking for an experienced SAP Ariba Consultant with strong hands-on experience in Ariba implementation and Indirect Procurement.

Key Responsibilities

• Handle end-to-end SAP Ariba implementation and configuration.
• Work on Ariba Sourcing, Contracts, Buying, and Invoicing.
• Configure workflows, forms, templates, approval rules, and catalogs.
• Manage RFI, RFP, RFQ, and Auction processes.
• Configure requisition, PO, GR, and invoice processes.
• Handle SAP Ariba CIG integration with SAP S/4HANA.
• Support master data and transactional data integration.
• Work on external requisition imports and data mapping.
• Support testing, UAT, cutover, and hypercare.
• Troubleshoot configuration and integration issues.
• Coordinate with business users, IT teams, and vendors.

Required Skills

• 8+ years of SAP Ariba experience.
• Strong experience in Ariba Sourcing, Contracts, Buying, and Invoicing.
• Hands-on Ariba configuration and customization.
• Strong knowledge of SAP Ariba CIG.
• Experience with SAP S/4HANA integration.
• Knowledge of P2P processes.
• Experience with CXML, APIs, and data imports.
• Good communication and stakeholder management skills.

Good to Have

• Groovy scripting
• SAP P2P
• Tosca/testing tools
• Third-party integrations
• SAP S/4HANA Procurement 

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

We are looking for a highly experienced and visionary Tech Lead / Solution Architect with deep expertise in the MERN stack and AWS to join our organization. In this role, you will be responsible for providing technical leadership across multiple projects, guiding architecture decisions, and ensuring scalable, maintainable, and high-quality solutions. You will work closely with cross-functional teams to define technical strategies, mentor developers, and drive the successful execution of complex projects. Your leadership, architectural insight, and hands-on development skills will be key to the team’s success and the organization's technological growth.

Responsibilities:

• You will be responsible for all the technical decisions related to the project.
• Lead and mentor a team of developers, providing technical guidance and expertise.
• Collaborate with product managers, business analysts, and other stakeholders.
• Architect and design technical solutions that align with project goals and industry best practices.
• Develop and maintain scalable, reliable, and efficient software applications.
• Conduct code reviews, ensure code quality, and enforce coding standards.
• Identify technical risks and challenges, and propose solutions to mitigate them.
• Stay updated with emerging technologies and trends in software development.
• Collaborate with cross-functional teams to ensure seamless integration of software components.

Requirements:

• Bachelor's degree / Graduate
• Proven experience 7-10 years as a Technical Lead or similar role in software development (start-up experience preferred)
• Strong technical skills in programming languages such as MERN, Python, Postgres, MySQL.
• Knowledge of cloud technologies (e.g., AWS, Azure, Google Cloud Platform) and microservices architecture.
• Excellent leadership, communication, and interpersonal skills.
• Ability to prioritize tasks, manage multiple projects, and work in a fast-paced environment.

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and innovative work environment
• Certifications on us

Joining : Immediate

Location : Malad (West) - Work From Office

This opportunity is for Work From Office.

Apply for this job if your current location is mumbai.

Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

Job Description

• Provide comprehensive product solutions over calls from initiating the call till the closure
• Generate revenue by counselling prospects and converting them to sales.
• Counselling students and helping them understand to choose the programmes offered at Maven Silicon.
• Meet weekly, monthly, and annual sales and activity quotas
• Generate leads and commit to customer service by building relationships

Desired Candidate Profile

• Proven track record of sales target achievements
• Excellent communication skill in English,
• Consultative Sales Skills and Convincing skills.
• Good in Excel (Mandatory) & preparing MIS reports. Experience with CRM would be preferred.
• Experience in Counselling/Tele Sales/Inside Sales in training companies or educational institutes
• Speaking regional languages like Kannada/Telugu/Tamil/Hindi would be an added advantage.
• Interest in the Education Sector, preferred.

Required Technical Skills: 

• Java (highly capable)
• SQL (highly capable)
• Strong knowledge of software best practices, build processes, IDEs, database tools (e.g. SQL Developer, SQL Management Studio)
• Strong knowledge of source code control systems (GIT)
• Confident with Windows, Linux, Unix operating systems including command line
• Working knowledge of JIRA

Beneficial Technical Skills: 

• .Net
• C 
• Javascript 
• Experience in test management and test execution
• Experience of Agile development methods

Additional Skills and Behaviour Required 

• Experience of full software development lifecycle
• Considers competing solutions and evaluates options to create the best outcome in all aspects of the role.
• Willingness to takes ownership of whole project and engineers assigned.
• Confident to make suggestions and recommendations for improvements.
• Excellent written and verbal communication skills and ability to build good rapport
• Fluency in English, both written and oral
• Collaborates with others to achieve objectives and ensure information flow
• Seeks assistance and feedback as appropriate 

Education 

• Bachelor's degree (or equivalent) in Computer Science or Engineering or other relevant discipline (MCA, MSc in Computer Science etc.)

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment. 

As a Principal Full-stack engineer, you will work across the Acceldata platform products. We’re looking for people with a strong background or inclination towards data engineering and systems; you’re comfortable in dealing with lots of moving pieces and can work at the  intersection of Databases, API's and Frontends

You will:          

• Be actively involved in strategic direction and product decisions.
• Design, build and maintain APIs, user-facing experiences, and services.
• Work closely with our customers and sales teams on a regular basis to carve out new features and use cases
• Work with MVC frameworks such as React or Angular 
• Work with database systems, RDBMS, Mongo, Elastic Search.
• Develop shared front-end components (JavaScript & CSS) for use across all of our products, enabling other UI engineers to build better products faster.

You need:      

• 12+ years of significant of web-application development experience in one or more JS frameworks. You care about building better products.
• Strong Computer Science fundamentals in data structures, algorithm design, and problem-solving.
• You're as comfortable writing plain JavaScript as working with modern frameworks like Angular. You've built your own controls and widgets in JavaScript. 
• You write unit tests for your JavaScript (really, you do). You've probably used Node. You have built complex JS web applications.
• Organized, thorough, and detail-oriented 

Good to have:

• Contribution to open-source projects.
• Background in enterprise software
• JVM performance tuning and debugging