
š¤ Data Scientist ā Frontier AI for Data Platforms & Distributed Systems (4ā8 Years)
Experience: 4ā8 Years
Location: Bengaluru (On-site / Hybrid)
Company: Publicly Listed, Global Product Platform
š§ About the Mission
We are building a Top 1% AI-Native Engineering & Data Organization ā 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 ā AI-native architectures
- Static pipelines ā autonomous, self-healing systems
- Data platforms ā intelligent, learning systems
- Software workflows ā agentic execution layers
This is the kind of shift you would expect from companies like Google or Microsoft ā
Except here, you will build it from day zero and scale it globally.
š§ 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
š§© What Youāll 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 ā 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 ā feedback ā 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
š§ What Weāre 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 ā 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
š„ 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)
𧬠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
š§ The Kind of Problems Youāll 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.

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Position: Digital Marketing Manager & Trainer
Experience Required: 3ā5 Years
Location: Kurukshetra, Haryana
Company: Digimaniac (Marketing Agency & Educational Institute)
About Us:
Digimaniac is a leading digital marketing agency and training institute in Kurukshetra. We provide innovative marketing solutions to businesses across industries and also equip aspiring professionals with practical digital marketing skills.
We are looking for a Digital Marketing Manager & Trainer who can take on a dual roleādriving client projects while also conducting classes for our students.
Key Responsibilities:
Client & Agency Work
- Develop, plan, and execute digital marketing campaigns across platforms (Google, Meta, LinkedIn, etc.).
- Manage SEO, SEM, Social Media Marketing, and Email Marketing strategies.
- Oversee paid ad campaigns for clients as well as institute promotions.
- Work on lead generation campaigns for both student admissions and client acquisition.
- Manage and mentor a small team of digital marketing executives/interns.
- Create monthly reports, analyze performance, and optimize campaigns for better ROI.
- Collaborate with the academic and sales teams to align marketing strategies.
- Keep up-to-date with industry trends and apply best practices.
Education & Training
- Conduct engaging training sessions and classes on digital marketing topics such as SEO, SEM, social media, content strategy, and analytics.
- Design and deliver course material, including curriculum, slide decks, assignments, and assessments.
- Mentor students individually, provide constructive feedback, and guide them through practical, real-world projects.
- Monitor student performance, attendance, and learning outcomes to ensure consistent progress.
- Contribute to the instituteās growth by supporting admission campaigns, student lead generation, and promotional activities.
Requirements:
- 3ā5 years of proven experience in Digital Marketing.
- Strong knowledge of SEO, PPC, Social Media Marketing, and Analytics.
- Hands-on experience with Google Ads, Facebook Ads, and other paid campaign platforms.
- Prior teaching or training experience is highly desirable.
- Excellent communication, leadership, and presentation skills.
- Ability to balance both client-facing responsibilities and classroom training.
Perks & Benefits:
- Competitive salary (based on experience & skills).
- Growth opportunities in both agency and education sectors.
- Exposure to diverse projects and industries.
- Friendly and collaborative work environment.
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Design systems independently with minimal interaction from the architects
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Lead a team of software developers to implement systems
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Continuously find ways to increase the quality of the code
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Liaising with team members, management, and clients to ensure projects are completed to
standard.
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Anticipates problems and future technical needs and takes necessary steps to address issues.
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Enthusiastically follow industry trends and developments
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Understands how various technology and tools work so that the team picks the right tool for the
job.
Requirements:
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About the role
- Manage new products and features, improve existing products and features.
- Customer obsession & talking to customers on a regular basis.
- Hard core prioritisation on what is most important for users.
- Clear decision making in ambiguous situations using data & connecting the dots.
- Partner with engineering & design to ship great products & features
Qualifications and Experience
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- 3-5 years managing cross disciplinary products at scale as a product manager
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- Computer Engineering or Software Engineering background with the ability to parse various layers of a software stack (to understand its implications on Privacy)
- A history of building and cultivating lasting cross-functional partnerships with both internal and external groups across Engineering, Product, Security, and Legal
- You are a strategic problem solver and valued collaborator; you are just as comfortable strategizing and leading as you are diving into the details of product work when circumstances require it.
- An entrepreneurial mentality and are flexible, self-motivated, dedicated, and hard-working. You actively recognise needs, resolve problems, anticipate issues, and develop solutions.
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Job DescriptionĀ
Key Responsibilities:Ā
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Requirements:
- Strong development experience with Angular, including Angular 10+.Proficiency in HTML5, CSS3, and JavaScript.Well versed with object oriented programmingBetter understanding of SOLID principlesExperience with responsive design and CSS frameworks (e.g., Bootstrap).Familiarity with version control tools such as Git.Solid understanding of web standards and best practices.Ability to work collaboratively in a fast-paced, agile environment.Excellent problem-solving and communication skills.Bachelor's degree in computer science, Engineering, Design, or a related field (preferred).
Preferred Qualifications:
- Previous experience in both Angular development and UX/UI design roles.Knowledge of UX/UI principles and design tools (e.g., Adobe XD, Sketch).Experience creating wireframes, prototypes, and conducting usability testing.Familiarity with Agile development methodologies.
* Hands-on experience in Angular JS / Angular (3-11)
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* Experience in Microservices architecture
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- Participating in pre-sales meetings to understand customer needs
- Understanding customers process and suggesting effective solutions based on Product portfolio
- Writing functional specifications (high level and detailed)
- Overseeing and taking ownership of the implementation of Digital Employees
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What you need to have:- Excellent business understanding in BFSI domain
- 2+ years of experience working as Business analyst (preferably in BFSI domain)Ā Ā
- Must have experience with modelling (UML or similar)Ā
- Must have hands on experience with process flow tools like Visio
- Must have Working experience in Agile methodologiesĀ Ā
- Lean/Six sigma certification is a plusĀ Ā Ā Ā Ā Ā
- Should have understanding of project management techniques and computing systemsĀ Ā
- Excellent communication skills
- Proactive attitude and like to take initiative
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