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🤖 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.

Looking for an experienced Teamcenter Lead Developer with expertise in Teamcenter customization, configuration, integration, and PLM solutions. The candidate should have strong experience in ITK, SOA, RAC, BMIDE, Teamcenter integrations, and enterprise system connectivity.

Job Description

Key Skills: 

Configure Teamcenter modules, workflows, and lifecycles as per business needs.

Develop and customize ITK, SOA, RAC, and BMIDE solutions.

Proficiency in C, C++, Java, JavaScript, XML, and SOA for Teamcenter development.

Collaborate with cross-functional teams, including engineering, manufacturing, and IT to ensure seamless PLM solutions.

Integrate Teamcenter with CAD (NX, CATIA, SolidWorks, etc.), ERP (SAP, Oracle), and other enterprise systems.

Troubleshoot and resolve Teamcenter application issues in a timely manner.

Provide training and mentorship to junior team members.

Mandatory Skills:

Develop and customize ITK, SOA, RAC, and BMIDE solutions.

Desired Skills:

Active Workspace configuration

Work on Teamcenter data migration, deployment, and performance optimization.

Knowledge in AI tools and AI capabilities of Teamcenter OOTB

Skills & Requirements

Teamcenter, ITK, SOA, RAC, BMIDE, Active Workspace, Teamcenter Configuration, Teamcenter Workflows, Lifecycle Management, Data Migration, Deployment, Performance Optimization, C, C++, Java, JavaScript, XML, CAD Integration, NX, CATIA, SolidWorks, SAP, Oracle, PLM, AI Tools, Teamcenter AI Capabilities

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in Spark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

EXCITED ABOUT YOUR TASKS?

● Employee Records Management:

○ Maintain and update employee records, ensuring accuracy and confidentiality.

○ Prepare and process employment documentation, including new hire, termination, and promotion

forms.

○ Manage HRIS (Human Resources Information System) to ensure all records are current.

● Recruitment Support:

○ Assist with the recruitment process by posting job openings, scheduling interviews, and

coordinating candidate communications.

○ Help onboard new employees, including preparing induction materials, facilitating orientation, and

ensuring all necessary paperwork is completed.

● Payroll and Benefits Administration:

○ Assist with the preparation and processing of payroll data.

○ Ensure proper documentation for employee benefits enrollment, changes, and claims.

○ Coordinate with finance for payroll queries and discrepancies.

●HR Compliance and Reporting:

○ Support HR with compliance tasks, such as ensuring the company adheres to labor laws and

employment regulations.

○ Prepare HR reports, including headcount, turnover rates, and other metrics as needed.

● Employee Relations Support:

○ Provide general administrative support to HR managers and employees.

○ Respond to employee inquiries regarding HR policies and procedures.

● Training and Development:

○ Assist in organizing training sessions, workshops, and other employee development activities.

○ Maintain records of training and professional development activities.

● General Administrative Tasks:

○ Assist in managing office supplies, HR documents, and communication materials.

○ Coordinate meetings, appointments, and other scheduling activities for the HR department.

WHAT WILL YOU NEED TO SUCCEED?

● Bachelor’s degree in Human Resources, Business Administration, or related field.

● Proven experience as an HR Administrator or in a similar administrative role.

● Strong knowledge of HR software, MS Office Suite (Excel, Word, PowerPoint), and HRIS systems.

● Excellent organizational, time-management, and multitasking skills.

● Attention to detail and a high degree of confidentiality.

● Familiarity with employment laws and regulations.

● Effective communication skills, both written and verbal.

● Problem-solving ability and a proactive approach to tasks.

Working Days:

Monday to Friday 10 am - 7 pm (WFO)

Saturdays-10 am - 3 pm (WFH)

However, the candidate must be comfortable with flexible shifts, if required.

Looking for Indiranagar, Bangalore location ONLY

FEMALE CANDIADTES PREFERRED ONLY

What you will be doing

• Building and maintaining Java micro services.
• Develop new features and improve existing features of the application.
• Coding, Implementing, Unit Testing and Documenting Java based services.
• Design, build, and maintain efficient, reusable, and reliable Java code.
• Code reviews and ensuring adherence to software development standards.
• Contribute to team and organizational improvements in process and infrastructure.
• Participating in requirements gathering and functional specification activities.
• Resolving and helping to mitigate production issues.

What you need to be successful

• Has proven himself as a solid individual contributor and has some initial management ability
• Understands the culture and upholds it
• Well respected with the team
• Looking to grow more as a manager than as an engineer
• Split time b/w hands-on technical work and people management of a small team
• Be a role model for the people in your team
• Responsible for team mentorship, technical planning, resource allocation & project delivery
• Build solid working relationships with counterparts outside engineering
• If we shortlist you for a lead role, then you'll have to mentor SDE-1 towards their SDE-2 journey.
• Progress up to manager in 2-3 years
• Strong Data Structure and Algorithms
• Experience of building micro services architectures, developing RESTful services,continuous integration, unit and integration testing.
• Proficient with SpringBoot, Hibernate, JUnit and other Java frameworks apart from RDBMS and NoSQL databases - PostgreSQL, MongoDB
• Gauge or other BDD frameworks and experience in Fintech would be preferred.

• 5+ years of relevant experience as an individual contributor working on the frontend technologies
• Strong technical foundation and experience building user interfaces for complex applications.
• Deep proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js core principles and experience with latest React concepts like hooks, context APIs
• Experience with popular state management libraries like Redux, Flux
• Familiarity with newer specifications of ECMAScript and knowledge of modern authorization mechanisms, such as JSON Web Token
• Experience with common front-end build tools such as Babel, Webpack, NPM, etc.
• Familiarity with Git
• Hands on experience with markup languages
• Background contributing best-practices and architectural leadership to front end applications
• Demonstrable understanding, and experience in dismantling large, abstract problems into smaller, workable tasks.
• Strong interpersonal skills with the ability to effectively collaborate cross functionally with designers, product managers and other engineers.