Placement Co-Ordinator

Strong Manager – Customer Success, Account management Profile

Mandatory (Experience 1) – Must have 8+ years of overall experience with atleast 6+ Years in Customer Success role

Mandatory (Experience 2) – Must have 1+ years of experience in AdTech industry

Mandatory (Experience 3) – Must have experience managing clients in the outside India market (Preferably US/America clients)

Mandatory (Experience 4) – Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.

Mandatory (Experience 5) – Must have strong technical understanding of digital advertising / programmatic platforms/software products

Mandatory (Company): B2B SaaS (AdTech experience is highly preferred)

Mandatory (Stability) : Candidate must have no frequent job hops and a minimum of 1+ year in the current organization.

Mandatory (Note1): Please ensure candidates have read about media.net and the industry before the screening call

Mandatory (Note2): Please ensure candidates have added numbers/metrics in resume

Strong Angular Experience

Java

Rest API, SQL

OOPS concept, Design Patterns, Spring boot, BDD framework,

UNIX/Linux

Basic Python

CI/CD Pipelines

Agile development methodology

As a Full Stack Developer, you'll be instrumental in shaping the future of AI assistants for data teams and understanding the intricacies of Large Language Models (LLMs) to optimise their usage across multiple use cases. Utilising Django, you'll architect backend infrastructures optimised for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.

Responsibilities:

• Back-end Development: Utilise Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.
• API Design: Craft efficient and scalable APIs using the Django Rest Framework.
• Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritise performance and deliver seamless user experiences.
• AI Integration: Design user interfaces that flawlessly integrate with our LLMs, and AI assistants, aiming to offer data teams an intuitive and efficient interaction.
• Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI.

Requirements:

• Pre-requisite Tech Stack: Python, Django, React, Springboot, CSS, and SQL
• Previous work experience with a start-up or similar setting is preferred
• Having an interest in system architecture design

Market Research and Analysis:

Identify potential markets, niches, and segments for the travel company's services.

Conduct market research to understand customer preferences, trends, and competition.

Analyze data to identify growth opportunities and gaps in the market.

Lead Generation:

Generate leads through various channels such as cold calling, networking events, online platforms, and referrals.

Qualify leads based on their potential as clients and align them with the company's target customer profile.

Client Relationship Management:

Build and maintain strong relationships with existing clients to ensure customer satisfaction and repeat business.

Address client inquiries, concerns, and feedback promptly and professionally.

Partnerships and Alliances:

Identify potential partners, collaborators, and suppliers within the travel industry.

Establish and nurture partnerships to enhance the company's service offerings and value proposition.

Sales and Revenue Generation:

Develop and execute sales strategies to achieve revenue targets and company growth objectives.

Present the company's services to potential clients, highlighting unique selling points and benefits.

Proposal Development:

Prepare and present proposals to potential clients that outline the company's services, pricing, and value proposition.

Customize proposals to address the specific needs and requirements of each potential client.

Negotiation and Closing Deals:

Negotiate terms and conditions with clients to reach mutually beneficial agreements.

Close deals and secure new business partnerships.

Networking and Industry Events:

Attend industry conferences, trade shows, and networking events to expand the company's presence and connect with potential clients and partners.

Reporting and Analysis:

Track and report on sales activities, lead generation, and revenue performance.

Analyze sales data to identify trends, areas for improvement, and growth opportunities.

Collaboration with Marketing:

Collaborate with the marketing team to develop promotional materials, campaigns, and content that align with business development goals.

CRM and Database Management:

Up-to-date records of leads, clients, and interactions

Continuous Learning:

Stay informed about industry trends, emerging technologies, and the competitive landscape to adapt strategies accordingly.

Feedback Loop:

Provide valuable feedback to the company's management based on market insights, customer feedback, and competitive analysis.

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

• Develop comprehensive E2E test cases at the application and multi-application levels
• Create direct channels of communication to software and application developers that get the job done without managerial interjection
• Identify business trends utilizing real data, compile analysis reports that are delivered to developers and then follow-up on all results
• Implement a comprehensive management plan for each project and hold regular stakeholder meetings to keep all interested parties updated in project progress
• Determine and document user requirements for business processes and abide by those requirements for future projects. 

• Bachelor’s or master’s degree in related technical field
• 3+ years of associated work experience
• Advanced SQL database management and D365 and maintenance skills
• Practical application ability with Microsoft Office and Visio
• Detailed analytical abilities
• Strong experience in user testing and project management

• Willing to contribute in Small or Large Project Teams
• Must be willing to start Immediately work from home permanent
• Good Communication Skills (English)
• Can Allocate working hours (Flexible) as per Projects Req
• Must have Good Internet & Good Laptop/System 

Good understanding of MVC, C#, MS SQL Server, JS, Visual Studio 2017
Experience: Minimum 3 Year.
RoleSoftware Developer
Industry TypeIT-Software, Software Services
Functional AreaIT Software - Application Programming, Maintenance
Employment TypeFull Time, Permanent
Role CategoryProgramming & Design
Education
UG: B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization, BCA in Computers
PG: Any Postgraduate in Any Specialization
Interested candidates Kindly apply

Job Types: Full-time, Contract, Walk-In

Job Types: Full-time, Walk-In