digital marketing Intern

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

• Interacting via various channels, such as live chat, emails, social media and direct calls
• Modifying sales pitches in response to customer demand
• Acquiring and retaining contact information databases
• Put forward suggestions in accordance with the requirements of the consumer
• Ensure a smooth procedure for the consumer by transferring windows of opportunity to the appropriate department for further action

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

• Experience in Java/J2EE, JavaScript is a must.
• Open source framework experience such as Angular (1.* & 2), Spring, Spring Boot, Hibernate, jQuery, MySQL, and Linux is required.
• Experience in applying modern Agile Software Development practices.
• Experience in development in a CI/CD environment and familiarity with CI/CD tools is required.
• Good interpersonal and facilitation skills.
• Excellent written and verbal communication skills.
• Adaptability is a must, including the ability and enthusiasm to learn new technologies quickly.
• Must be able to write technical designs and build documentation for all aspects of technical infrastructure.
• Experience in Microservices development

We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.

In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that

• Has healthcare experience and is passionate about helping heal people,
• Loves working with data,
• Has an obsessive focus on data quality,
• Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
• Has strong data interrogation and analysis skills,
• Defaults to written communication and delivers clean documentation, and,
• Enjoys working with customers and problem solving for them.

A day in the life at Innovaccer:

• Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
• Measure and communicate impact to our customers.
• Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.

What You Need:

• 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
• Intermediate to advanced level SQL programming skills.
• Data Analytics and Visualization (using tools like PowerBI)
• The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
• Ability to work in a fast-paced and agile environment.
• Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.

What we offer:

• Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
• Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
• Health benefits: We cover health insurance for you and your loved ones.
• Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
• Pet-friendly office and open floor plan: No boring cubicles.

Desired Candidate Profile

• A Master's degree in business administration (MBA), Marketing
• Minimum 5-6 yrs of Sales experience with understanding of paper industry
• Excellent verbal and written communication skills
• Willingness to travel regularly to different markets
• Proficiency with Microsoft office
• Strong analytical skills and ability to work well with little supervision    

• Growing industry vertical revenue
• Being the P&L owner for industry vertical
• Being the face of company for existing clients
• Owning the account by ensuring depth (by cross selling) and width (by geographic expansion) of business operations with clients
• Being a strategic consultant to industry vertical clients
• Managing higher escalations and preventing churn
• Ensuring timely collection of payments
• Ensuring business margins
• Managing a team of Regional Business Managers

Desired Candidate Profile

• Post Graduates from tier 1/2 management colleges
• 6-10 years of experience as Key Account Manager/National Manager in a B2B domain
• Proven track record in enhancing revenue through strategic initiatives
• Ability to manage conflicts and negotiate
• Multi-tasking capabilities    

• Perform technical feasibility studies of new technologies and architectures, including evaluation of OTS cloud offering.
• Generate entire software image for the target device, including the kernel, device drivers, libraries, and application software, and the bootloader for proprietary IOT connectivity device(s).
• Software packaging with RPM building and management
• Define the process to upgrade the new Linux package to existing hardware at customer premises
• Configuration and Troubleshoot of the proprietary IOT connectivity devices for internal R&D teams during their development and verification
• Automate the creation and distribution of keys and certificates
• Understand, implement, and automate security controls for IoT connectivity devices.
• Tune server and application-level performance monitoring and alerting.
• Help define our roadmap and architecture based on technology and business needs, considering architectural issues and tradeoffs
• Understand and manage integration points with other systems that interface with your applications
• Supports development of project plans, including scope, budget, schedules, and risk management.
• Works closely with the business analysts, software development and verification team, the functional manager, and the program manager.
• Collaborate and work with global teams in multiple locations.
• Interface with Global Privacy and Security team for the IoT Gateway understand security risks and recommendations and provide solutions to mitigate the security risks

• Bachelor’s degree in Computer Networking / Computer Science / Software Engineering or a related field
• 12+ years of hands-on experience in Networking, shell scripting, and Linux internals, with a development background.
• Strong understanding of Networking concepts like VPC, Route tables, Host base router firewall, SSH, NAT, DNS, DHCP, SNMP, Virtual IPs, VPN
• Linux System Administration and Networking work experience
• Configuring Firewalls(IP tables/firewall) and security software
• Able to generate Linux packages, and configure based on business needs.
• Passion for cybersecurity. Ability to build secured Linux packages with antivirus and security patches.
• Shell, Python scripting experience
• Basic SQL skills
• Ability to work with cross-functional and remote teams. Must be able to communicate in English, both written and verbal.
• Interpersonal skills to effectively collaborate with vendors and customers.

• Experience with Agile Scrum
• Development background in Java/C++
• DevOps knowledge
• Knowledge on javascript

• Skills -
  • Core (Must understand and conversant to code on at least two of these technologies)
    • Java 8+/ Spring Boot/Microservices
    • Spark
    • Scala
    • Angular
    • Javascript
    • ElasticSearch
    • Graph Database (Tinkerpop/Janusgraph)
    • MySQL/Oracle
    • AWS/Azure/GCP
  • Secondary
    • Version Control - Jira/Bitbucket/Git
    • Build Tools - Maven/SBT/Gradle
    • Security
    • Agile/Scrum methodology
    • Should be able to create and review designs/documents
    • Must be able to clearly articulate situations, problems and communicate ideas and solutions

• Must understand System Analysis and Design with understanding of Algorithms (implementation in any language is okay)
• Design optimal and performant solutions for product backlog items spanning technologies
• Work with Product Owner/Project Manager and UX lead for providing LoE estimates for Jira backlog items
• Lead and own delivery or work items (for self and team)
• 80% hands-on work items (self), 20% team responsibility
• Must be willing to learn new technologies, processes, business functions, (we measure this by OKR’s)

Qualifications and Skills