Azure Cloud Architect, Azure Cloud engineer, "Azure Devops engineer"

Job Title: Associate Solution Design / Pre-Sales Consultant – Logistics SaaS

Location:

Bengaluru (On-site)

Experience Required:

2–3 years in Pre-Sales / Business Analysis / Solution Consulting / Supply Chain Technology

About the Role

We are looking for an enthusiastic and detail-oriented Associate Solution Design / Pre-Sales

Consultant to support our sales team in crafting effective logistics solutions for prospective

clients.

This is an excellent opportunity for someone early in their career to gain hands-on

experience in solutioning, client interactions, and SaaS-based logistics platforms, while

working closely with senior solution consultants and enterprise sales teams.

Key Responsibilities

 Work with Sales and senior consultants to gather and understand client

requirements

 Assist in designing solution workflows across shipping, order processing, and

warehouse operations

 Support in creating solution documents, BRDs, and process flow diagrams

 Participate in client calls, discovery sessions, and product demonstrations

 Help prepare RFP/RFI responses and proposal documents

 Collaborate with Product and Tech teams to understand platform capabilities and

constraints

 Assist in integration scoping (APIs, SFTP, ERP/WMS connections)

 Ensure smooth handover to implementation teams with proper documentation

 Contribute to building demo environments, use cases, and reusable assets

Required Skills & Qualifications

 2–3 years of experience in Pre-Sales / Business Analyst / Implementation / Solution

Support roles

 Basic understanding of logistics and supply chain processes (shipping, warehousing,

order management)

 Familiarity with SaaS platforms and system integrations

 Good analytical and problem-solving skills

 Strong communication skills and ability to interact with clients

 Experience in creating process flows, documentation, or requirement gathering

Preferred Qualifications

 Exposure to Logistics SaaS / eCommerce / supply chain domain

 Basic understanding of APIs, SFTP, or data exchange concepts

 Experience working with ERP systems (SAP, Oracle, etc.)

Key Competencies

 Willingness to learn and adapt quickly

 Strong attention to detail

 Love for Solving Problems

 Ability to work collaboratively with cross-functional teams

 Structured thinking and documentation skills

What You’ll Gain

 Hands-on exposure to end-to-end pre-sales and solution design

 Opportunity to work with enterprise clients and modern SaaS platforms

 Mentorship from experienced solution consultants and sales leaders

 Fast-track growth into Solution Consultant / Pre-Sales Lead roles

Position Overview:

As a Frontend Developer at FatakPay, you will be responsible for translating design concepts into responsive and intuitive user interfaces. Working closely with our design and backend development teams, you will play a key role in crafting visually appealing and highly functional web applications.

Responsibilities:

• Collaborate with UX/UI designers to implement and refine user interfaces. Develop responsive and cross-browser-compatible web applications.
• 
  
• Write clean, efficient, and maintainable code using HTML, CSS, and JavaScript. Implement and maintain front-end frameworks and libraries.
• 
  
• Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability.
• 
  
• Collaborate with backend developers to integrate user-facing elements with server-side logic.
• 
  
• Conduct code reviews to ensure code quality and adherence to best practices.
• 
  
• Stay updated on emerging trends and technologies in frontend development.

Qualifications:

• Bachelor's degree in Computer Science, Web Development, or a related field.
• Proven experience as a Frontend Developer or similar role.
• Proficient understanding of web markup, including HTML5 and CSS3.
• Strong proficiency in client-side scripting and JavaScript frameworks (e.g., React, Angular, or Vue.js).
• Experience with responsive design and development.
• Familiarity with version control systems, such as Git.
• Excellent problem-solving and communication skills.
• Ability to work collaboratively in a team environment.

Conga CPQ Business Analyst

Exp- 7 to 9 years

Work Mode – Remote

Employment type – Contract

Job description:

3 to 5 years of experience to support and enhance Conga CPQ and ERP systems.

Should have Conga CPQ/CLM functional expertise.

Serve as SME for Conga CPQ & ERP systems.

Perform system testing, validation and coordinate with business UAT testing.

Expert-level knowledge in product modelling, pricing configurations, and quote management.

Collaborate with teams to gather, analyze and document business requirements.

Should be good at creating stories, acceptance criteria and agile processes.

About Us:

At SarthhakAI, we’re building bodh scientific™, an AI-driven platform that helps scientists and engineers accelerate R&D- from experiment design to formulation optimization. We work with leading organizations in the field of Chemicals, Life Sciences and Material Sciences to bring AI into real-world scientific workflows.

We’re now looking for a smart, curious, and proactive Business Development & Sales Associate to help us expand our reach and build relationships with enterprise clients, research institutions, and innovative science-led companies.

We would prefer if you are based in the NCR region, and should be open to occasional travel.

What You’ll Do

• Enterprise Outreach: Identify and approach R&D and manufacturing companies (chemicals, coatings, polymers, pharma, packaging, etc.) to introduce bodh scientific.
• Lead Generation: Research and connect with decision-makers (CTOs, Heads of R&D, Innovation Managers) through email, LinkedIn, and events.
• Sales Pipeline Management: Schedule demos, maintain CRM updates, and support founders in proposal and follow-up communication.
• Product Demos & Presentations: Learn and demonstrate the product value proposition in simple, impactful language.
• Social Media & Marketing Support:
• Help run outreach campaigns and webinars.
• Assist in drafting short posts or content ideas for LinkedIn and email marketing.
• Event & Conference Support: Represent the company at expos, academic events, and online workshops.

What We’re Looking For

• You must have a Bachelor’s or Master’s degree in Science or Engineering (Chemistry, Material Science, Life Sciences preferred). We would also prefer experience/education in a commerce/business stream. 
• Strong curiosity about AI and R&D, interested in how AI transforms research.
• Excellent written and verbal communication skills (English) 
• Comfort with LinkedIn, CRM tools (HubSpot/Apollo), and outreach platforms.
• Ability to think strategically and execute independently.
• Startup mindset- resourceful, organized, and proactive.

Why Join Us

• Be part of a growing deeptech startup shaping the future of R&D.
• Work directly with founders and clients across India and abroad.
• Learn how to sell a high-tech B2B SaaS product to enterprise clients.
• Exposure to cutting-edge fields- AI, scientific R&D, and innovation.
• Growth opportunities in business development, partnerships, or marketing.

Compensation

• Competitive base pay + performance-based incentives
• Additional perks for event participation, travel, and client demos

Job Description

Mandatory Requirements 

• Experience in AWS Glue

• Experience in Apache Parquet 

• Proficient in AWS S3 and data lake 

• Knowledge of Snowflake

• Understanding of file-based ingestion best practices.

• Scripting language - Python & pyspark

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 

• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 

• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 

• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.

• Define process improvement opportunities to optimize data collection, insights and displays.

• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 

• Identify and interpret trends and patterns from complex data sets 

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 

• Key participant in regular Scrum ceremonies with the agile teams  

• Proficient at developing queries, writing reports and presenting findings 

• Mentor junior members and bring best industry practices.

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 

• Strong background in math, statistics, computer science, data science or related discipline

• Advanced knowledge one of language: Java, Scala, Python, C# 

• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  

• Proficient with

• Data mining/programming tools (e.g. SAS, SQL, R, Python)

• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)

• Data visualization (e.g. Tableau, Looker, MicroStrategy)

• Comfortable learning about and deploying new technologies and tools. 

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 

• Good written and oral communication skills and ability to present results to non-technical audiences 

• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus: 

• AWS certification

• Spark Streaming 

• Kafka Streaming / Kafka Connect 

• ELK Stack 

• Cassandra / MongoDB 

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Role : Lead – Influencer Marketing

Overview of job -

Our client is the world’s largest media investment company and is a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are looking to hire a Partner – Influencer Marketing to join us. In this role, you will be leading the advocacy narrative for the largest FMCG organization in India. An individual with expertise in digital marketing/planning, an entrepreneurial mindset and a knack for influencer marketing are key areas of strength that will be expected of the right candidate. Ready to build the influencer marketing ecosystem for working with a team of 15+ young minds specializing in the space of digital & influencer marketing. The role entails managing and building the influencer scope for more than 50 brands.

The 5 key pillars of the job -

A) Liaison with the global team and local to maintain and further develop a strategic narrative on influencer marketing

B) Blur lines between digital planning and influencer planning to drive effectiveness

C) Develop and deliver creative - first of its kind advocacy solutions for brands

D) Create a measurable framework on influencer marketing. E) Understanding of social media, digital marketing and content marketing ecosystem will be important elements to this role.

We are currently looking for a 10+ years’ experience individual, based out of Mumbai to join us. 

Minimum qualifications:

• Graduate – Mandatory, Post graduate – Preferred

• Minimum 10+ years’ experience with 4+ years of experience in digital marketing/digital planning/performance marketing

• Should have previously managed a team

• Experience in influencer marketing, Social media, and ecommerce 

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment