Team lead Digital Marketing

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 

Strong Java Developer with hands-on experience in building, deploying, debugging, and supporting Java applications on Kubernetes-based container platforms. 

Focus is on application development and deployment support rather than Kubernetes administration or security management. Experience with JMS/Messaging systems is preferred.

Primary skills required:

• Core Java
• Kubernetes (Application Deployment & Execution)
• Docker & Containerization
• Build & Deployment Support
• scripting can be python also if not java script 

Kubernetes Certified Application Developer (CKAD) certification would be an added advantage.

Software Engineer – Tech Lead

- You are your own master.  We don't preach you, we just allow you to Innovate, Iterate, Learn and Adapt

- Work with one of India's leading fintech unicorn company

- ESOPs in the company

Requirements

• 6+ yrs of exposure in the art of writing code and solving problems on large scale.
• Should be language agnostic, with extensive and expert programming experience in any one programming language (strong OO skills preferred).
• Deep experience in at least one general programming language. Preferred (Java,Scala, C++)
• A solid foundation in computer science, with strong competencies in data structures,

algorithms, and software design.

• Worked end to end on 2-3 complex projects
• Worked in startup like environment with high levels of ownership and commitment
• Experience in building highly scalable business applications, which involve implementing

large complex business flows and dealing with huge amount of data.

• Extensive experience on working with distributed technologies like Kafka, MongoDb,

Redis/Aerospike, MySQL, AWS etc

• Experience with multi-threading and concurrency programming
• Ability to switch between the technologies and learn new skills on the go.

Roles and responsibilities

Drive discussions to create/improve the product, process and technology

• Build abstractions and contracts with separation of concerns for a larger scope
• Rapid prototyping
• Robust and scalable web-based applications
• Do high-level design with guidance; Functional modelling, break-down of a module
• Thinking platforms & reuse, the open-source contribution will be a plus
• Do incremental changes to architecture: impact analysis of the same
• Do performance tuning and improvements in large scale distributed systems
• Mentor young minds and foster team spirit

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics or relevant field

About Accoona Global

Accoona Global is a multinational offshore software development company Head Quartered in Texas, having development centers in Texas and Pune, India. Company has a large client base across US and strong plans to grow further in technology and services through its cutting-edge technologies in Telecommunication, IoT, Insurance, digital presence, Ecommerce solutions, ERP, BI, data analytics and IT infrastructure services.

Accoona Global is looking to hire an enthusiastic HR Generalist who will be responsible for Employee engagement and recruitment efforts, new employee induction and onboarding, payroll and benefits, company policy and procedure adherence. In addition, you will build strong relationships with stakeholders in order to help them build strong human resource department and maintain strong bonding with employees.

Role and Responsibilities

• Manage, prioritize and close open positions within the set timelines.
• Handle employee queries and grievances
• Complete pre- joining and onboarding formalities
• Conduct employee engagement activities
• Run the payroll process for the organization
• Manage exit formalities and complete FnF procedures
• Handle all compliance requirements and other documentation.
• Manage dynamic relationships with employees, stakeholders and recruitment partners
• Goal setting and performance reviews
• Develop and coordinate all HR policies and procedures

Background and Experience:

• 1 to 3 years of experience in HR generalist role, preferably in the IT and ITES organization.
• Experience in managing end to end recruitment process including sourcing, co-ordination, negotiation and employment branding.
• Experience in handling entire employee life cycle
• Should have working knowledge of MS Office
• A sense of ownership of job responsibilities and drive end to end closure.
• Critical thinker, problem-solving skills and ability to manage timelines successfully.

• Product planning and execution throughout the lifecycle, including: gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, sales, marketing and support to ensure revenue and customer satisfaction goals are met. 
• Define the product strategy and roadmap, and own MRDs and PRDs with prioritized features
• Work with external third parties to assess partnerships opportunities
• Run beta and pilot programs with early-stage products and samples
• Be an expert with respect to the competition
• Create and articulate product development, improvement & further innovation (occasionally in front of investors or analysts), across internal and external client community
• Build, manage and retain team of high performing product managers
  
  

      Requirements:

• At least 10 years of experience, at least 5 years of product management experience in a tier-1 product firm in fields related to e-Commerce, hyperlocal services, content, financial services, etc.
• Great people skills paired with a high level of assertiveness and very good communication
• Strong analytical, strategic and coordinating skills
• Sound knowledge and understanding of the current trends in lending business and technology
• Engineering training with additional training in business administration is a big plus
• Experience in Fintech technologies is an added advantage