Sr. Director - Analytics

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 

Key Responsibility!

Partnership & Sales

● Identify, pitch, and close B2B deals with universities, colleges, coaching institutes, and training centres

● Lead end-to-end negotiations — from first meeting to signed agreement

● Build and maintain relationships at the CXO and decision-maker level

● Represent KollegeApply at education fairs, industry events, and networking forums

Territory & Strategy

● Own and execute a territory plan for city and the surrounding regions

● Track competitor activity, market shifts, and pricing trends to stay ahead

● Hit monthly, quarterly, and annual revenue targets consistently

Execution & Coordination

● Work closely with internal marketing and operations teams to ensure smooth partner onboarding

● Act as the primary point of contact for your institutional partners post-deal

What we’re looking for

● Demonstrated track record of meeting or exceeding revenue targets

● Strong negotiation and closing skills — comfortable leading conversations at the CXO level

● The existing network within city’s education ecosystem is a strong plus

● Self-starter with solid territory and field sales experience

● Willingness to travel extensively across state

● Own vehicle preferred

What’s in it for you?

● Competitive fixed salary with high-upside performance incentives

● Direct leadership visibility and a genuine fast-track growth path

● The autonomy to build and own a high-impact territory

● A lean, entrepreneurial team where your work moves the needle

Job Description:      

Min 2 to 4 Years of experience in C# and ASP.NET, Web application development.

Knowledge about cloud programming or migration to cloud is preferred.

 Mandatory skills:

• Proficient in Web Application development using ASP.NET, C# with .Net version 4.0/ 4.5.
• Experience with SQL Server or any other equivalent Database and know how to build efficient queries.
• Strong knowledge on jQuery, AJAX, JavaScript, HTML5, CSS3 and Bootstrap.
• Experience in debugging in multiple browsers.
• Strong understanding of object-oriented programming.
• Clear understanding of SVN or an equivalent VCS.
• Familiar with IIS and deploying code to Web Server.
• Should have excellent analytical and communication skills.

 Responsibilities:

• Good hands on designing, coding, debugging, technical problem solving, and writing Unit Test cases, etc.
• Translate use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable C# code
• Ensure the best possible performance, quality, and responsiveness of applications
• Help maintain code quality
• Able to work well in a team setting

 Academic Qualifications Required:

•  B.E. / B.Tech. /MSC in Computer Science or IT.

 Qualifications

M.C.A

B Tech

Director - Strategy and Solution - Performance Marketing

Ranked by Deloitte amongst India's top 25 fastest-growing tech companies, we are a well-capitalized digital startup pioneering full-funnel marketing via programmatic media. We are trusted by leading marketers and agencies in India and is expanding its footprint globally.

We are looking for a Director - Strategy and Solutions. No matter how brilliantly organizational functions perform in their silos, the ownership and skills to ensure it all comes together and moves in the right direction is program management.

As the Director (Strategy and Solutions), you will assist in driving customer success, operational excellence, new solutions discovery, and account growth.

We are looking for seasoned professionals who excel in the following areas:

1. Proven experience in Digital Marketing and an understanding of Media channels.

2. Flair for communication and presentation to engage and influence stakeholders positively.

3. Leading and driving innovation for developing new programmatic solutions as per the requirements of the client and ensuring it is aligned with business goals.

4. Formulation of strategies in accordance with the organizational goals.

5. Expertise in problem-solving and technology development.

6. Driving the overall P&L of the company

Experience: 10+ years of professional experience

Preferred Industry: Performance Marketing

Experience with a Digital Marketing agency is a must. One must be able to lead solutions and strategy from the forefront.

We value people who are driven by a sense of ownership, a bias for action, transparency, persistence with adaptability, curiosity and humility.

What you get:

- Opportunity to build a global company.

- Non-linear learning experience.

- Transparent work culture.

- Meaningful equity in the business.

Job Description:

ENGINEER / SR ENGINEER– JAVA/ JEE TECHNOLOGIES

 PUNE

EXPERIENCE –  4+ YEARS (4-12 YEARS) EXPERIENCE IN JAVA/ JEE TECHNOLOGIES.

TECHNOLOGY/SKILLS – JAVA1.9, SPRING BOOT, WEB SERVICES, ORACLE, HTTP PROTOCOL, WEB PROXY, JUNIT, XML, JSON

QUALIFICATION – B.E, BTECH, BSC, BCA, BCS OR EQUIVALENT POST-GRADUATION IN ANY BRANCH PREFERABLY IN E&TC, COMPUTERS

OTHER TOOLS USED – ECLIPSE, JIRA, CONFLUENCE, MAVEN, JENKINS, GIT/ BITBUCKET (SOURCE VERSION CONTROL).

SOFT SKILLS – SELF-MOTIVATED, FOCUSED, GOOD TEAM PLAYER, POSITIVE ATTITUDE, GOOD COMMUNICATION SKILLS – WRITTEN AND VERBAL WITH PRODUCT MANAGEMENT, INTERNAL IT AND STAKEHOLDERS.

NICE TO HAVE – KNOWLEDGE OF CRYPTOLOGY, HSM AND KEY MANAGEMENT / PKI / X509, XML SIG /SML ENC, SMART CARD OPERATING SYSTEM, TELECOMMUNICATION (GSM) AND ELECTRONIC PAYMENT SYSTEM, PROVEN KNOWLEDGE TO WORK IN PROCESSES ACCORDING TO CMMI (LEVEL 3).

DETAILS – GOOD TO HAVE ATTRIBUTES:

• KNOWLEDGE OF SOFTWARE ARCHITECTURE, UNDERSTANDING AND PREPARING SEQUENCE DIAGRAMS, ARCHITECTURE, AND PROCESS DOCUMENTATION.
• EXPERIENCE IN ENTERPRISE APPLICATIONS IN THE PAYMENT / BANKING DOMAIN PREFERRED.
• ANALYSIS, DESIGN AND IMPLEMENTATION OF SMART CARD APPLICATIONS FOR THE PAYMENTS SECTOR (MASTERCARD, VISA.)
• TELECOM/ EMBEDDED SYSTEMS OR SMART CARDS BACKGROUND.
• IDENTIFY AREAS FOR IMPROVEMENT TO ACHIEVE - OPERATIONAL EFFICIENCY, CUSTOMER SATISFACTION, AND VALUE ADDITION.
• PREFERABLY NO TRAVEL CONSTRAINTS.
• HIGH / LOW-LEVEL DESIGNING.

Essential duties and responsibilities include the following.

• Design, create and maintain databases through multiple product lifecycle environments, from development to production systems
• Configure and maintain database servers and processes, monitor system health and performance, to ensure high levels of performance, availability, and security.
• Convert complex business requirements into technical specifcations to build scalable and reliable data solutions 
• Apply data modelling techniques to ensure development and implementation support efforts meet integration and performance expectations.
• Independently analyse, solve, and correct issues in real time on production, providing problem resolution end-to-end.
• Refine and automate regular processes, track issues, and document changes.
• Develop complex query, performance tuning, stored procedures and triggers, scheduled jobs, schema refinement.
• Flexibility to work after office hours for any production issue or production deployment.
• Perform scheduled maintenance and support release deployment activities after hours.
• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.

Qualifications include:

• 4+ years of database and backend development experience
• Good understanding of database systems and architectures
• Expertise in writing complex SQL queries and stored procedures
• Hands on experience with RDBMS and NoSQL data stores like  MySQL and MongoDB
• Experience working with Python scripting and application development
• Experience working with Cloud applications and data stores like AWS RDS is a plus
• In-depth understanding of data management and ETL processes

We are looking for creative and smart candidates who are passionate about Web Development, can manage projects/teams and handle clients on a day to day basis.

The candidate must have 1 year - 2 years of experience.

We specialize in web-based software solutions for Finance, logistics, supply chain management, and inventory management. We have also created smart systems for several organizations and are relied on by organizations across India.