Sales Development Representative

🤖 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.

About Swarmlens

At Swarmlens, we are building next-generation intelligent systems powered by Artificial Intelligence, Machine Learning, and Generative AI. Our mission is to create scalable, impactful, and production-ready AI solutions that solve real-world business challenges.

Role Overview

We are looking for a highly skilled Senior Generative AI Engineer with strong hands-on expertise in building and deploying Gen AI applications at scale. The ideal candidate should have deep experience working with LLMs, RAG pipelines, AI agents, prompt engineering, and production-grade AI systems.

You will work across the complete AI lifecycle — from model development and orchestration to deployment and optimization — while contributing to cutting-edge AI innovation.

Key Responsibilities

-Build and deploy end-to-end Generative AI solutions.

-Develop LLM-powered applications and AI copilots.

-Design and implement RAG pipelines and AI agent workflows.

-Work on prompt engineering, evaluation frameworks, and model optimization.

-Develop scalable AI architectures and production-ready ML systems.

-Collaborate with cross-functional teams to deliver AI-driven products.

-Optimize AI models for performance, scalability, and reliability.

-Build intelligent automation systems using modern Gen AI frameworks.

Required Skills & Qualifications

-4–6 years of experience in AI/ML or Generative AI roles.

-Strong hands-on expertise in Generative AI and Large Language Models. (LLMs).

-Experience with RAG systems, AI Agents, Prompt Engineering, and Model Evaluation.

-Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, etc.

-Strong understanding of Machine Learning, Deep Learning, NLP, and data pipelines.

-Experience in deploying production-grade AI applications.

-Knowledge of vector databases, orchestration frameworks, and cloud environments is a plus.

-Strong analytical, problem-solving, and system design mindset.

Mandatory Requirement-

Candidates holding 4–6 years of relevant experience with a strong command of Generative AI are only preferred for this position. Please apply only if you have relevant hands-on experience in the same domain.

Why Join Us?

-Work on cutting-edge AI and Gen AI technologies.

-Opportunity to build impactful real-world AI products.

-Collaborative and innovation-driven work culture.

-Exposure to advanced AI research and scalable deployments.

-Career growth in a fast-growing AI startup environment.

*Job Summary:*

Financial Modelling Specialist Role Description:

Job Title: Financial Analyst (Valuation and Financial Modelling)

Location: Work From Home | Office: WeWork NESCO, Goregaon (occasional meetups)

Shift Timing: Afternoon Shift – 2:00 PM to 11:00 PM IST (9 hours, 6 days/week)

Employment Type: Full-time

Salary Range: ₹50,000 – ₹60,000 per month

Key Responsibilities:

• Develop detailed financial models including 3-statement, DCF, LBO, and scenario/sensitivity analysis

• Draft valuation reports aligned with SEBI, RBI, IBC, and Companies Act guidelines

• Create compelling pitch decks, teasers, and investment memorandums

• Conduct industry-specific research and apply appropriate valuation methodologies

• Ensure precision, compliance, and high-quality output in all deliverables

• Collaborate with internal teams and clients during the afternoon shift

Candidate Requirements :

Experience: 4–5 years in financial modelling and valuation

• Education: MBA (Finance),

Semi-qualified CA or CFA • Skills:

Advanced Excel & Google Sheets (Pivot Tables, Power Query, Index-Match, etc.)

o PowerPoint proficiency for investor presentations

o Strong understanding of accounting, finance, and valuation techniques

o Excellent English communication (written & verbal)

o Discipline to work independently in a remote setup with a fixed 2 PM–11 PM schedule

Working Days

6 working days

Working Timings

2-11pm

#HiringAlert

We are looking "SAP PMO" for Reputed Client @ Permanent Role

Experience: 10 + Years

Skills :

•Min 2 years of experience in PMO

•Good in communication skills and reporting skills

•Knowledge on SAP and high-level Process

•Knowledge on finance process

•Knowledge on Project execution Process

•Should be willing to travel and should be committed

•Activate Methodology

•S4HANA Experience

•Client/Onsite Experience

•Onsite Travel Interest

Location : Remote

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

Pre-requisites for the Role

1.Job ID-EMJR0120PS

1. Primary skill:

• Java-spring boot-Hibernate
• Mysql
• CI/CD, Jenkins/Github (good to have)
• Junit/Mockito/testng
• Rest api

(Good to have)

Awards received in career

4.Years of Experience: 3-5 Years

1. Location:(Hybrid)
2. Position-19
3. Budget- Max 14 LPA
4. NP- Immediate

Ordertrainings.com is looking for a passionate professional to join our core team. Someone who loves Talent Development field and is keen to get their hands dirty in solving age-old problems in the sector and redefine the way organizations approach Learning and Development.

We are constantly evolving the Platform in terms of Data, Process, Workflows to move all our customers to the fully self-service Platform.

You will be part of our Training Management team and help solve customer issues on the Platform. This involves but is not limited to meeting customers, understanding their requirements, challenges they are facing on the Platform and with the recommended solution, working with internal stakeholders to propose the right solution etc. 

While your key responsibility will be managing training operations end-to-end (from booking to delivery) being a start-up it is tough to draw a boundary. We need someone who can empathize with the start-up work culture and nature.

Roles and Responsibilities:

> Meeting Customers for feedback, presenting the product, understanding their need etc.

> Resolving Trainer and Customer Issues

> Finding Right trainers/training partners

> Looking after Training Operations - before and after booking

> Defining and Executing Account Specific Marketing Initiatives

> Provide Feedback to the Product Team on Customer issues, behavior and Platform Usages

Skills and Qualifications:

 > Passion for Start-up 

 > Ability and Will to Lead, take initiatives, solve people issues 

 > MBA or equivalent Degree (but not necessarily)

 > At least 2 years of industry experience, Ideally 4-6 years 

 > At least 1 year of domain experience - working in the Learning and Development Sector [HR, Training Management, Talent Development or Learning and Organizational Development background] 

 > Strong Communication Skills

 > B2B Customer Handling experience is a must

 > Working Knowledge (beyond basics) of MS Word and Excel