Channel Sales (Field sales) Executive

Role Purpose: Contributing to develop and optimizing industrial processes and improvement in current

processes to enhance performance and productivity of fabrication by using technical skills, best practices in

manufacturing etc.

SKILLS:

1. Analyzing and interpreting skills for data and situations

2. Creative thinking and problem-solving skills

3. Communications skills

KNOWLEDGE:

● 1. Should have proven work experience in process engineering considering in same

domain.

● 2. Should have excellent technical skills in to understand drawings and application.

● 3. Should have experience in welding process validation and implementation

● 4. Should familiar with health and safety regulations

● 5. Should have good analytical and interpersonal skill

● 6. Should have knowledge of Lean, Welding and other problem solving tools & technique

DETAILED JOB DESCRIPTION: (HIGHLIGHT CRITICAL ACTIVITIES)

1. Establish critical processes parameters and prepare reports for performance.

2. Manage and validate all process and establish corrective actions for any

non-conformance. 3. Analyze data and monitor implementation of all process and quality of

that process.

4. Monitor projects, identify risks and issues and prepare documents for same.

5. Develop welder competency and improve fabrication culture toward excellence.

6. Perform risk assessments on new developments.

7. Evaluate current processes or operating procedure and suggest recommendations if any. 8.

Analyze and troubleshoot process problems to make continuous and permanent improvements

9. Initiate improvement projects and completed on time and within budget.

What You’ll Do:

* Establish formal data practice for the organisation.

* Build & operate scalable and robust data architectures.

* Create pipelines for the self-service introduction and usage of new data.

* Implement DataOps practices

* Design, Develop, and operate Data Pipelines which support Data scientists and machine learning Engineers.

* Build simple, highly reliable Data storage, ingestion, and transformation solutions which are easy to deploy and manage.

* Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.

Who You Are:

* Experience in designing, developing and operating configurable Data pipelines serving high volume and velocity data.

* Experience working with public clouds like GCP/AWS.

* Good understanding of software engineering, DataOps, data architecture, Agile and DevOps methodologies.

* Experience building Data architectures that optimize performance and cost, whether the components are prepackaged or homegrown.

* Proficient with SQL, Java, Spring boot, Python or JVM-based language, Bash.

* Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc

* Good communication skills with the ability to collaborate with both technical and non-technical people.

* Ability to Think Big, take bets and innovate, Dive Deep, Bias for Action, Hire and Develop the Best, Learn and be Curious

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

COMPANY DESCRIPTION :

NNIIT is a pioneering Edtech start-up with the goal of empowering individuals in the digital age. We are actively seeking talented individuals to join our dynamic team in Hyderabad. If you meet the qualifications and are passionate about making an impact in the Ed-tech sector, keep reading!

JOB DESCRIPTION :

Company: NNIIT (On-Roll)

Salary: 3-10 LPA

Job Location: Hyderabad (On site)

ROLES & RESPONSIBILITIES :

 Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails.

 Calling to 250+ calls/day and maintain 3hrs of Talk-time thus booking 10 conductions for the week for each day.

 Understand customer needs and requirements.

Route qualified opportunities to the appropriate sales executives for further development and closure.

 Close sales and achieve quarterly quotas.

 Research accounts, identify key players and generate interest.

 Maintain and expand your database of prospects within your assigned territory Team with channel partners to build pipeline and close deals.

 Perform effective online demos to prospects.

FAQs :

Salary Expectation: Minimum 20,000 INR with the potential to reach up to 74,000 INR based on skills, experience, and interview performance.

Eligibility Criteria: Graduates with 1 to 31 years of experience in Ed-tech K9 & K12 background are eligible to apply.

Specific Skills Required: Good sales skills, proficiency in English, and strong communication abilities are essential.

Applicants: Both male and female candidates are welcome to apply.

ADDITIONAL INFORMATION :

Seniority Level: Mid-Senior level

Industry: E-Learning Providers

Employment Type: Full-time

Job Functions: Sales, Business Development

Type, Location

Full Time @ Anywhere in India

Desired Experience

2+ years

Job Description

What You’ll Do

● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.

● Take charge of DevOps activities for CI/CD with the latest tech stacks.

● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.

● Implementing the DevOps philosophy and strategy across different domains in organisation.

● Build automation at various levels, including code deployment to streamline release process

● Will be responsible for architecture of cloud services

● 24*7 monitoring of the infrastructure

● Use programming/scripting in your day-to-day work

● Have shell experience - for example Powershell on Windows, or BASH on *nix

● Use a Version Control System, preferably git

● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)

● Scalability, HA and troubleshooting of web-scale applications.

● Infrastructure-As-Code tools like Terraform, CloudFormation

● CI/CD systems such as Jenkins, CircleCI

● Container technologies such as Docker, Kubernetes, OpenShift

● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA

What you bring to the table

● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.

● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.

● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems

● Configuration management tools such as Ansible/Chef/Puppet

Bonus if you have…

● Basic understanding of Networking(routing, switching, dns) and Storage

● Basic understanding of Protocol such as UDP/TCP

● Basic understanding of Cloud computing

● Basic understanding of Cloud computing models like SaaS, PaaS

● Basic understanding of git or any other source code repo

● Basic understanding of Databases(sql/no sql)

● Great problem solving skills

● Good in communication

● Adaptive to learning

Core Competency:

• Extensiveexperiencewith C# and ASP.net/.NETCore 2.0 / .NET WebAPI core framework framework • concept's and fundamentals/ MVC and EF. • REST Web services&API Experience • Strong architectural knowledge with two or more of - MicroServices, 12 FactorApplications and • EventDriven architectures • Messaging knowledge(Topics, Queues & Publish Subscribe) • Knowledge of AWS, Docker and Kubernetes • Experience with database development including relational database design, SQL, and ORM • Agile Delivery experience • Deploying .Net Core web application/API in Windows and Linux • Experience with web developmenttechnologiesincludingASP.NET, MVC3, EF, HTML, JavaScript, • JQuery, AJAX and CSS, LINQ. • Experience with core Microsoft.Net technologies including WCF, LINQ, and EF • Experience designing and developing enterprise-grade software • Experience with source control management systems and deployment environment • Experience with debugging, performance profiling and optimization. • Comprehensive understanding of object-oriented and service-oriented applicationdevelopment,techniques and theories • Internally motivated, able to work proficiently both independently and in a team environment • Strong communication skills with both internal team members and external business stakeholders • Experience with user interface design and prototyping

Responsibilities:

• Responsible for developing Web Applications/ Rest Apis/ Automation Scripts.
• Design, Develop, Enhance and test Back End Web Modules using Nodejs, Nestjs Framework, Mongo DB.
• Research and explore existing solutions, competition to get a holistic understanding of the design and development.
• Communicate and collaborate effectively with various teams for effective outcomes.
• Meet deadlines in a high intensity work environment.
• Write Highly scalable and stable code.
• Pick up any project & amp; suggest a solution for completing it.
• Write production ready code with minimal bugs.
• Review other engineers' code and provide constructive feedback.
• Help grow the engineering team through involvement in the technology community (conferences, meetups, blog posts, open-source projects, etc) and referrals.
• Monitor changes in production & amp; rollback if necessary.
• Pair often and provide some guidance to more junior engineers.

Requirements:

• 2-6 years of working experience in backend technologies.
• Proficient in NodeJs, NestJs, Js.
• Understanding of Backend End Technologies.
• Proficient in RESTful APIs and API Communications.
• Understanding of Sql and NoSql Databases.
• Good grasp of Asynchronous Programming and its work arounds.
• Database schema Creation for business process.
• Working knowledge in user authentication and authorization.
• Implementing data protection Error Handling skills
• Good at analyzing and solving problems.
• Passionate to work in a start-up.
• Knowledge of firebase authentication and analytics.
• Knowledge of AWS deployment tools and strategy.
• Should be good with the Low Level and High Level Design.
• Understanding of Different Design Patterns.