Farm Associate -Agronomy(Pune)

As the Sales Manager, you will be responsible for executing our sales strategies in Talent/Capability Development (learning/e-learning, custom learning, localization, and translation) domains, reporting to the Sales Director. You will focus on identifying and pursuing target market opportunities, building a strong sales pipeline, and acquiring new customers for our services/products. Your growing understanding of the Talent/Capability Development landscape, coupled with your ability to articulate the value, will be crucial to achieving your targets and contributing to the overall sales success.

• Sales Strategy Execution: Contribute to the implementation of the overarching sales strategy for Talent/Capability Development services/products. This includes focusing on identified target markets, executing strategies for lead generation and pipeline creation across all offerings, adhering to the defined sales process, and contributing to the achievement of KPIs. Develop a strong understanding of the Talent/Capability Development market, including industry trends and the competitive landscape, as well as the growing need for localization services.

• Product and Solution Expertise: Develop and maintain comprehensive knowledge of Wordsburg’s Talent/Capability Development services/products and their applications across various industries and learning objectives. Build a solid understanding of our localization services, including translation, transcreation, cultural adaptation, and linguistic testing. Effectively articulate the features, benefits, and value proposition of Talent/Capability Development services/products, tailoring your approach to address customer needs and challenges to drive business acquisition across both service lines.

• Consultative Selling and Customer Acquisition: Analyze the needs of potential customers, understanding their learning objectives and business challenges. Effectively position Wordsburg’s learning, localisation, and translation offerings as valuable solutions, clearly communicating their benefits and potential outcomes to secure new business and build your individual pipeline for both service areas.

• Sales Process Management: Follow and contribute to the refinement of a defined sales process, with a focus on pipeline generation, tracking, and progression for learning, localisation, and translation. Utilize established sales tools and methodologies to track progress, prioritize opportunities, and ensure efficient execution in converting prospects into paying customers for both service lines.

• Team Collaboration and Development: Collaborate effectively with other members of the sales team and contribute to a positive and high-performing sales culture. Demonstrate leadership by mentoring junior sales team members.

• Key Account Support and Relationship Building: Proactively identify and cultivate relationships with key customers for Talent/Capability Development services/products, focusing on securing initial business and building a strong foundation for long-term partnerships. Utilize CRM systems effectively to manage your interactions and track opportunities.

• Technology Utilization: Utilize relevant learning platforms, tools (CRM, communication), and related technologies to support your sales efforts for both learning and localization, enabling effective pipeline management. Clearly communicate the technological aspects of Wordsburg’s learning offerings and the processes involved in our localization and translation services/products to customers.

• Market Awareness and Opportunity Identification: Conduct market research to identify potential opportunities for lTalent/Capability Development services/products, understand competitor activities, and contribute to positioning Wordsburg effectively to capture business. Provide market feedback to the Sales Leadership to inform service/product and strategy adjustments.

• Resilient and Results-Oriented Approach: Demonstrate initiative, persistence, and a proactive approach to pursuing and closing sales for both learning and localization. Adapt to evolving customer needs and market feedback while maintaining a commitment to achieving sales targets.

• Sales Administration and Reporting: Understand basic financial principles related to sales and contribute to the effective management of sales-related activities. Provide regular updates and reports on your sales activities and progress to the Sales Leadership.

Qualifications -

•    Bachelor's degree in Business Administration, Marketing, Education, or a related field (Master's degree preferred).

•    Minimum of 10-15 years of experience in sales, preferably in the learning or localisation industry or a related technology sector.

•    Proven experience in sales, preferably within the learning/e-learning, localisation, translation , technology, or service industries.

•    Exposure to selling products/services and understanding the basics of consultative selling.

•    Familiarity with the localization industry and the value proposition of localization services is a plus.

•    Basic understanding of sales processes and pipeline management.

•    Good communication, presentation, and interpersonal skills.

•    Ability to build and maintain positive customer relationships.

•    Basic analytical and problem-solving skills.

•    Ability to work effectively within a team environment.

•    Proactive and results-oriented attitude with a desire to learn and grow in a sales role.

•    Willingness to travel as required by business.

•    Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.

We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.

1.   In-Depth knowledge and experience with C# .NET Core are must.

2.   Experience in working with API Gateways, REST, SOAP, OAuth, SAML.

3.   Experience inworking with Kafka based environment.

4.   Microservices and Event driven Architecture (with a focus on cloud).

5.   Experience and understanding of OOPS and SOLID design principals.

6.   Well verse with Design Patterns.

7.   Familiarity with Azure and AWS offerings.

8.   Understanding of Relational and NoSQL databases SQL Server, Azure SQL, MongoDB, Elastic.

9.   Familiarity with the .NET framework

10. Familiar with various design and architectural patterns

11. Knowledge of concurrency patterns in C#

12. A willingness to get trained and work on cutting edge technologies like React, Node etc.

13. Understanding fundamental design principles behind a scalable application

14. Implementing automated testing platforms and unit tests

15. Proficient understanding of code versioning tools Git

Familiarity with CICD tools, JIRA, Azure devops etc

Rules & Responsibilities:

Technical Skills:

1. .Net– Net, C#, .Net core, MVC, Framework, Web API, Web Services, Micro Service and SQL
2. Azure – Azure Cloud, SaaS, PaaS, IaaS, Azure Relational, and No-SQL Database, Big Data Services

Responsibilities

• Good understanding of and experience in working on Microsoft Azure (IAAS/PAAS/SAAS)
• Ability to architect, design, and implement cloud-based solutions
• Proven track record of designing and implement the IoT-based solutions/Big Data solutions/applications to the Azure cloud platform.
• Experience in building .Net-based enterprise distributed solutions in Windows and Linux.
• Experience in using CI and CD tools. Jenkins/ Azure pipeline and Terraform. Experience in using another tooling such as Ansible, CloudFormation, etc.
• Good understanding of HA/DR Setups in Cloud
• Experience and working knowledge of Virtualization, Networking, Data Center, and Security
• Deep hands-on experience in the design, development, and deployment of business software at scale.
• Strong hands-on experience in Azure Cloud Platform
• Experience in Kubernetes, Docker, and other cloud deployment, container technologies
• Experience / knowledge of other cloud offerings (e.g. AWS, GCP) will be added advantage
• Experience with monitoring tools like Prometheus, Grafana, Datadog, etc.

Opportunity in our Product Team?
Our system has over 4 products & 12 modules designed by product managers working with banking & finance experts. The company’s growth from here is based on a multi-product strategy. The way we’re scaling our product team is in-line with the company’s strategy.

Your customers are the CFOs & Finance Teams in mid to large scale enterprise businesses and you will build these products to solve the problems faced by them.

You’ll become familiar with all parts of our stack from end to end. You’ll design and implement features to be scalable and resilient by working with both our infrastructure engineers and our product engineers. You’ll be a driver for positive change to Finly’s engineering culture, processes and technology.

Here are some examples of the projects in the different products:
Payment automation by building a deep integration with multiple banking systems:

• Governance frameworks with policy controlled workflows.
• Core finance document management system.
• Automating reconciliation of transactions across business
• Collaboration tools among finance, vendors & employees.
• Continuous ETL for integrating with CRMs like Salesforce & Accounting Systems like SAP.

WITHIN 1 MONTH, YOU'LL

• Complete Finly’s new-hire training week, and learn Accounts Payable
• Processes & the various partners we work with to make Finly happen.
• Investigate, solve and release a bug fix to production. In order to do this you will ramp up on Finly’s engineering stack by pair-programming with your teammates and attending engineering training sessions designed and presented by the team.
• Meet with cross-functional peers around the company to learn how the product functions.
• Complete your engineering starter project and deploy your first changes to production.

WITHIN 3 MONTHS, YOU'LL

• Individually contribute reliably ship full features to customers.
• Own major product areas and take features from mock to deploy.
• Estimate technical scope and time to complete major features and initiatives.

WITHIN 6 MONTHS, YOU'LL

• Move to new product vertical & initiative and start designing and architecting scalable systems as per the requirements discussed with Product Manager.
• Have made a visible impact on the product for all the users of Finly.
• Work closely with your team to remove roadblocks, educate on best practices and improve how we work.
• Be comfortable navigating most of our stack and infrastructure
• Be responsible for the planning, scoping, design, and implementation of new features
• Participate in interviewing and hiring, as a way to influence team growth and how our values inform our culture

WITHIN 12 MONTHS, YOU'LL

• Individually contribute and lead teams to reliably ship full features to customers.
• Estimate technical scope and time to complete major products and initiatives.
• Define tools and standards for product engineering to measure performance impact of releases
• Help grow other engineers technically by mentoring, pairing and developing other learning opportunities
• Collaborate with engineering and product leadership to define priorities and set delivery goals.

So in this role, you will work with the respective team’s product manager and other engineers in that team. You may work on the front-end or backend or both based on the requirement of the project.

Join us & have the authority and responsibility to make things happen!

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.