Business Development 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.

Job Title: Lead DevOps Engineer

Experience Required: 8+ years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

8+ years of experience in DevOps or Site Reliability Engineering (SRE).

3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

Job Role - Shopify Developer

Responsibilities

 Create an engaging and knowledgeable online Shopify store to increase sales and revenue

 Create bespoke Shopify themes and change pre-existing templates per pre-defined brand

guidelines

 Be an expert in all aspects of the ECommerce platform

 Work with the UX and UI Design Teams to create unique, strong, and inventive front-end user

experiences

 Ensure a smooth connection with Marketing Tools, Platform APIs, and Shopify Apps to optimise

the shop for overall efficiency and functionality

 Test and debug websites regularly to improve performance

 Based on their findings, they provide technical support and coordination, protecting enterprises

against failure

 Increase conversion rates by optimising website

Requirements & Skills

 A bachelor's degree in information technology, computer science, or a related discipline

 Broad shop construction, launch, and maintenance expertise, as well as a general understanding

of the admin system

 Proven skills in HTML5, CSS3, and JavaScript, as well as a thorough grasp of the DOM

 Previous experience working with a custom theme and/or the Storefront API

 Working knowledge of Shopify's theming system and Liquid templating

 Previous experience implementing/debugging third-party Shopify apps, as well as building

unique solutions if needed

 In-depth knowledge and expertise with vanilla JavaScript, jQuery, ES2015/ES6, and current

JavaScript frameworks

 Working knowledge of Shopify's object/properties, AJAX API, and Meta fields

 Extensive testing and debugging abilities using the browser console and other tools

 Prior experience developing responsive layouts for desktop, tablet, and mobile devices

 Working knowledge of third-party services and APIs, as well as Shopify plugins

•  Capability to communicate effectively and provide proactive feedback

Required Skills:

"Overall 5-9 years of experience

Experience of working in Agile projects and aware of key Agile concepts

Good Problem solving and communication skills

Team player, hard working and innovative in his approach

Having stretch mindset and eagerness to learn/adopt new frameworks.

Expertise in Java 8 version or later

Hands on coding experience in Core Java ,Java, J2ee

Should have experience in Spring Boot

Should have good experience in Hibernate, Spring DATA JPA

Experience in RestFull Web services and microservices

Hands on knowledge in JMS and messaging Queues

Hands on Knowledge in Open API spec / swagger 2.0

Hands on knowledge in writing unit test cases using java test framework (Junits, Mockito)

Strong Ability to troubleshoot vulenerabilities and sonar issues and remediate with appropriate sonar rules compliant solution.

Should have hands on experience in SDLC

Should have an excellent client interaction background with Smart, Innovative, Enthusiastic, Proactive

Nice to Have

------------

Knowledge in kafka integeration

knowledge in OCP4 configs and deployment

Knowledge on secret Vaulting

Experience working in Agile project

• Knowledge on CI/CD process.

HSV Digital is a global, full-service, and 100% B2B technology-focused marketing firm. Because we are so immersed and invested in all things B2B tech, we are experts at understanding complex value propositions, systems, stakeholders, and challenges.

We pride ourselves in working with the largest and fastest growing technology companies, helping them build brand awareness, grow revenue, and maximize the value of their channel ecosystem. Some of our clients include Microsoft, Deloitte, Databricks, IBM, Cognizant, HCL, Diversified, EY, and many more!

As a Visual Designer, your job will be to create high-end graphics for a range of clients in enterprise technology.

Key responsibilities:

• Create aesthetic visual assets for our clients including corporate branding, animations, infographics, posters, banners, presentations, emailers and other requested design elements.
• Understanding client requirements and translating the same into collaterals with high level of creativity
• Maintaining brand aesthetic and standards across all channels to ensure consistency with client’s brand guide
• Working on multiple projects at a time with varying deadlines.

Requirements:

• Proven experience as a visual designer for SaaS or enterprise technology companies.