Account Executive

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Sr. ETL Developer 

Job Id: QX033 

Role Overview 

We are seeking a detail-oriented ETL Developer with deep expertise in SQL and stored procedures to design, build, optimize, and maintain data integration pipelines. This role focuses on transforming and loading data from multiple source systems into data warehouses and reporting platforms while ensuring data accuracy, performance, and reliability. 

Key Responsibilities 

• Design, develop, and maintain ETL processes using SQL and database stored procedures 
• Build efficient data transformations, aggregations, and validations for large datasets 
• Optimize SQL queries, indexes, and stored procedures for performance and scalability 
• Collaborate with data analysts, BI developers, and application teams to understand data requirements 
• Implement error handling, logging, and monitoring for ETL workflows 
• Perform data quality checks and troubleshoot data discrepancies 
• Support scheduled batch loads and incremental data refresh processes 
• Document ETL logic, data mappings, and technical designs 
• Assist with production deployments and ongoing maintenance. 

Required Skills & Qualifications 

• Bachelor’s degree in computer science, Information Systems, or a related field (or equivalent experience) 
• 5+ Years of Expert Level Experience and Proficiency in SQL (complex joins, CTEs, window functions, performance tuning) 
• 5+ Years of Extensive experience writing and maintaining stored procedures, functions, and triggers 
• Hands-on experience with ETL concepts (extraction, transformation, loading) 
• Experience working with relational databases (e.g., SQL Server, Oracle, MySQL) 
• Solid understanding of data warehousing concepts (fact tables, dimensions, star schemas) 
• Ability to debug and optimize existing ETL processes 
• Experience handling large datasets and batch processing 
• Strong analytical and problem-solving skills 

Preferred Qualifications 

• Experience with ETL tools, Azure Data Factory, etc. 
• Experience with Azure Cloud  
• Familiarity with BI/reporting tools, Power BI 
• Experience with incremental loads, CDC, and data reconciliation 
• Exposure to cloud data platforms (Azure SQL, AWS RDS, Redshift, Snowflake) 
• Basic scripting experience (PowerShell, Python, or Bash) 
• Knowledge of data governance and security best practices. 

Competencies: 

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. 
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. 
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. 
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions. 
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. 

Why Join Us? 

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. 
• Work on impactful projects that make a difference across industries. 
• Opportunities for professional growth and continuous learning. 
• Competitive salary and benefits package. 

Application Details 

Ready to make an impact? Apply today and become part of the QX Impact team! 

We are seeking a dynamic and knowledgeable Computer Science Teacher to educate and inspire students in foundational and advanced computing concepts. The ideal candidate will have hands-on experience with web development (HTML/CSS), structured programming in C, and object-oriented programming using Python and Java. This role involves designing engaging lessons, fostering critical thinking, and preparing students for real-world tech challenges.

Wissen Technology is hiring for Devops engineer

Required:

-4 to 10 years of relevant experience in Devops

-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline

-Good to have exposure on Github or Gitlab

-Open to work from hashtag Chennai

-Work mode will be Hybrid

Company profile:

Company Name : Wissen Technology

Group of companies in India : Wissen Technology & Wissen Infotech

Work Location - Chennai

Website : www.wissen.com

Wissen Thought leadership : https://lnkd.in/gvH6VBaU

LinkedIn: https://lnkd.in/gnK-vXjF

Job Description:

• Support Pre-sales activities and provide technical solutions, effort estimation, define delivery strategy and plan
• Provide recommendation of RPA product
• Develop the technical solution for the RPA Automation.
• Define the To-be automated process flows including any custom-built components
• Define the design to consider the following aspects
• Security
• Method of access (internal client network , internet, local access)
• User Authentication (SSO, central LDAP, individual log in)
• Customer’s IT Security and/or Audit Policies which impact the robot deployment
• User Authorization Processes, it’s lead times & request process
• Scalability
• Ensuring multiple robots can handle shared resources
• Ensuring there are no duplicate transactions processed or orphaned transactions.
• Application landscape
• Understanding technical impacts of applications using OCR or Adobe Flash
• Understanding technical impacts of applications accessed behind Citrix.
• Auditing & Exception handling
• Hosting & Environments
• Hosting Locations and Hosting provider (Internal / 3rd party)
• Availability of test system by application
• Availability of “production like” test data within test applications
• Consistency of test data between applications
• Performance  & Availability
• Ensuring Performance of key applications in the process that could limit the average handling time of the automation
• System availability & timings
• Anticipate, identify, track and resolve technical issues and risks affecting delivery
• Assist development team in resolving technical problems
• Assist Support teams to resolve issues
• Coordinate and participate in structured peer reviews and walkthroughs
• Design technical specifications for RPA (Blue Prism) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.
• Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.
• Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
• Complies with and helps to enforce design and coding standards, policies and procedures.
• Ensures documentation is well maintained.
• Ensures quality of coded components by performing thorough unit testing.
• Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.
• Reports status, issues and risks to tech leads on a regular basis
• Improves skills in automation products by completing automation certification.
• Mentors junior developers and performs code reviews for quality control.

• Additional Information

  • 10 to 12 years of IT experience. Minimum 2 years of experience in leading architecture and design.
  • Having led a minimum  2 RPA project implementations as lead architect
  • Certification in Robotics for any one product (Blue Prism /Automation Anywhere)
  • Experience in defining the architecture of enterprise level applications involving multiple systems, sub-systems and ERPs.
  • Experience front ending client facing discussions and interfacing with Client Business, IT and Architecture teams
  • Knowledge of automation tool capabilities and technical requirements
  • Good communication skills & customer interaction skills.

   

Primary responsibilities:

•Design, develop AWS IoT/Cloud-based applications using Typescript, Node.Js.

•Work closely with onsite, offshore, and cross functional teams, Product Management, frontend developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery.

•Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program.

•Assertive communication and team skills.

•This individual be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and an ability to work on multiple projects and function in a team environment.

Experience and Skills Required:

•More than 6 years of overall experience in Software domain.

•At least 3 years of experience in Cloud native applications.

•Solid working knowledge of Typescript, NodeJS.

•Thorough working knowledge in AWS, Lambdas, Microservices etc.,

•Experience in executing CI/CD processes

•Experience in Microservices Architecture

•Good Knowledge on Cloud security & security design control implementation.

•Knowledge of (AWS IoT Core) and In-depth knowledge of AWS cloud native services including Kinesis, DynamoDB, Neptune, Lambda, API Gateway, Timestream , IoT Core, GreenGrass, Aurora, Lambda, etc.

•Great knowledge in Agile/Scrum

About Us

Divami Design Labs is ranked as the #1 UX UI Design Agency in India on "Clutch.co". We have worked with 200+ clients across the globe and touched more than 50M+ people. We have been recently honored with the Web Excellence Award and the CII Design Excellence Award for our platform designs. With a passion for creating user experiences, we get our high by solving complex problems and hearing you utter 'WOW,' especially across verticals like Data Integration, FinTech, HealthTech, EduTech, HRMS, DevOps, Transportation, Supply Chain, Logistics, Travel, IoT, AR/VR, AI/ML, BPM/RPA, Low Code No Code platforms and more.

About This Role

We are looking for a dynamic architect-level MERN/MEAN Stack developer with leadership skills to motivate, inspire, bring the best out of the team and at the same time individually contribute himself/herself towards project delivery. 

 If you are :

• A tech enthusiast, if the opportunity to run a project excites you, 
• Revels in supportive work culture and
• Looking for an opportunity of working on multiple projects excites you then

THIS IS the job for YOU !!

Roles And Responsibilities

• 5 years of hands-on experience in working with MERN / MEANstack
• At Least 3 years of experience in leading a team size of minimum 3-4 members
• Excellent communication, client handling and crisis management skills
• Great debugging and problem-solving skills

Location

Gachibowli, Hyderabad

Job brief

Individual will work on the MLEG Program facilitating business requirements from sites that plan to engage and move forward with implementation of MLEG IT Tools and processes. Work will also include business value analysis for sites, programs, and IT Tools. Create Investment Proposals for new projects and updated scopes while ensuring the functionalities of the new system/process meet business needs
In partnership with the business and IT leadership, Business Readiness is responsible to apply methodologies and tools to identify and manage the people-side of change (IT systems, process, behaviours) to achieve business result.   
Individual contributor, lead a change team and/or oversee change delivery across a portfolio or business area.  Common activities include (Business Change Implementation Management)
•    Confirmation and alignment of change scope 
•    Stakeholder identification, analysis, and management
•    Change Strategy 
•    Mobilising leaders
•    Communications strategy, planning and execution
•    Training design and delivery
•    Engaging the business on their implementation and adoption requirements
•    Change Planning and monitoring
PHEA(Perform Hydrocarbon and Energy Accounting)
•    Ensure program deliverables & goals align with PHEA's vision 
•    Investment Proposals for new projects/updated scopes
•    Ensure the functionalities of the new system/process meet business needs
•    Monitors program progress such as awareness regarding Issue Resolution and Risk Management
•    Supports execution via program and project reviews

• Looking for techno-functional candidates
• Java/Dot net prior exp
• Solutioning experience mandatory

Job Description:

A sales development representative (SDR) is responsible for outbound sales prospecting for the Enterprise segment. Rather than trying to close deals, his/her work revolves around generating and qualifying new leads and moving them through the sales pipeline, until they’re ready to talk to the account executives/sales closers. He/she has to validate and screen potential customers given by LDRs (Lead Development Representatives) who can benefit from our products. As the first line of communication with prospects, ideal SDRs should have a strong understanding of the sales process, excel at researching leads, understand key pain points, start new relationships, and set our sales closers up for success. You should be a quick learner with strong communication skills and have the ability to showcase our offerings compellingly. Every potential customer is an opportunity for you to boost top-line revenue growth, customer acquisition levels, and profitability.

Role & Responsibilities

• Generate Sales Qualified Opportunities from various lead generating channels through LDRs, LinkedIn, Company Reports and profiles etc.,
• Design email campaigns (persona wise) to generate interest in the leads.
• Do discovery meetings to understand the pain points of the prospects.
• Do email/calls to the target audience to generate interest and fix demo appointments.
• Represent our company’s products and services, starting with a comprehensive understanding and leading to consumer research to identify how our solutions meet needs.
• Build relationships by nurturing warm prospects and finding new potential sales outlets.
• Manage and maintain a pipeline of interested prospects and engage sales executives for the next steps.
• Identify best practices to refine the company’s lead generation.

Desired Candidate Profile

• Bachelor’s/Master’s Degree from an accredited University with relevant 0-2 years of sales experience.
• Must have strong interpersonal, communication, and presentation skills across a variety of channels (email, social media, phone, etc.)
• Should showcase a target-oriented approach toward his/her work.
• Possess a research-oriented approach to identifying opportunities.
• Prior automotive experience is preferred but not mandatory.
• Willingness to work outside the strict job description parameters, thinking creatively about how to provide the highest level of internal and external customer service.
• Strong desire and ability to come up with innovative ideas.
• Ability to see problems as opportunities.
• Prior experience in using CRM is preferred but not mandatory.

Employment Type

Full-time

Apply through this link

https://garageplug.freshteam.com/jobs/GFHD8JF1VJm7/sales-development-representative-sdr" target="_blank">https://garageplug.freshteam.com/jobs/GFHD8JF1VJm7/sales-development-representative-sdr

• Responsible for gathering, crunching, collecting raw data.
• Own all data needs in the growth team and across key cross-functional initiatives from data extraction, dashboard creation, and data analysis.
• Provide insights and recommended actions as response to current situation, trend, as well as preventive one for better preparation.
• Collaborate with data engineering and cross-functional stakeholders to define data requirements, create dashboard, to drive business decisions and optimize business outcomes
• Manage any regular reporting and tracking.
• Deliver analysis, insights, reporting, data marts, and tools to support the business team.
• Build & maintain data mart and dashboards for tracking business OKR and initiatives.
• Ingest both internal and external data to support business needs.

• Bachelor's degree in Engineering, Mathematics, Statistics, Operation Research or other related disciplines.
• Having 2 - 5 years experience will be an advantage, but fresh graduates are welcomed to apply as well.
• Expert in Spreadsheet, SQL and strong experience with Data Visualization and Reporting tools (e.g. Tableau, Google Data Studio)
• Comfortable working independently and collaboratively with minimal guidance.