Business Development (Online Bidder)

Job description

Note: Applications are welcome from candidates who are immediate joiners or currently serving their notice period.

Key Responsibilities:

• Design, develop, and test low-latency, high-volume client-facing applications.
• Develop and maintain enterprise-scale, n-tier applications for the investment banking/capital markets domain.
• Implement microservices-based solutions using Spring Boot and other modern frameworks.
• Work extensively with Core Java 5.0 and above, Spring Framework, and CXF
• Optimize applications for multi-threading and high-performance server-side development
• Collaborate with cross-functional teams to design and implement scalable, secure, and efficient solutions
• Work with RDBMS (preferably Sybase) to handle large-scale data processing.
• Develop and maintain applications on Unix/Linux environments
• Utilize enterprise application design patterns to build robust and scalable solutions.
• Troubleshoot and resolve complex technical issues while ensuring application stability and performance.

Required Skills & Experience:

• 5 to 10 years of hands-on experience in Java development
• Strong knowledge of microservices architecture and cloud-based deployment.
• Expertise in Spring Framework, Spring Boot, and CXF
• Experience in developing and optimizing applications for high-volume, multi-threaded environments
• Solid understanding of financial domain applications, sales, and trading platforms
• Proficiency in working with relational databases (Sybase preferred)
• Familiarity with Unix/Linux environments and shell scripting.
• Strong analytical, problem-solving, and communication skills.
• Ability to articulate and present design ideas effectively.

We are seeking a talented and results-driven individual to join our team as a Business Development Manager specializing in selling of software products and services.

Industry Type: IT/ Software

Job Profile: Business Development  

Required Experience: 2-4 yrs

Location: Ahmedabad

Work from Office

Responsibilities

1.     End to end sales (Lead generation, Follow ups, Demo Presentation, Lead Closure, Client Facing) of company products and services

2.     Drive sales efforts within assigned accounts, identifying opportunities for upselling additional products or services and cross-selling complementary offerings to maximize revenue

3.     This is a critical role, and the person must possess a thorough knowledge of the organizations products/ services, working across all types of industries & building a cross-industry understanding. Initially this will be an individual contributor role but can be scaled up as per the demand & growth of the business.

4.     As a part of the Key Accounts Team of an assigned territory & Business, you will be charged up for the entire State.

5.     You must have specialized B2B knowledge, bias towards action and strive towards getting things done.

1. Ensure brand matrix productivity through effective business planning & market updates

1. Ensure timely follow-up on customer feedback, communicating progress and updates to clients and demonstrating our commitment to continuously improving their experience.

1. Travel to assigned territory for business closures.

Qualifications

• Bachelor's degree in Business Administration, Marketing, Computer Science, or related field; MBA preferred.
• Proven experience of 3-5 yrs  in key account management, sales, or business development within the software industry.
• Strong understanding of software products and services, including SaaS, PaaS, and enterprise solutions.
• Excellent interpersonal and communication skills, with the ability to build rapport and influence decision-makers at all levels.
• Strategic thinker with a proactive approach to problem-solving and a track record of driving results.
• Ability to work collaboratively in a cross-functional team environment and thrive in a fast-paced, dynamic organization.
• Proficiency in CRM software and other relevant tools for account management and sales tracking.

If you are a motivated and customer-focused professional with a passion for technology and a drive for sales success, we invite you to apply for this exciting opportunity. Join us in delivering innovative software solutions and driving growth for our key accounts.

Top of Form

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.

• Python. Django Rest Framework experience would be great, but not essential! We prioritise
• quality over quantity.
• Postgres with InfluxDB, Oracle, MySQL and Redis experience a plus.
• Docker, Kubernetes, Helm, OpenShift and associated tooling.
• AWS, especially ECS, Lambda, RDS and DynamoDB. Performance and uptime are super
• important to us.
• The challenge of scaling a global, distributed API to 10,000+ requests per second.
• We have SDKs in a bunch of languages, so the more polyglot you are the better.
• If you like writing JS and React that would be awesome too.

• Helping in building of Business Development decks & sales pitches
• Supporting in organizing PR initiatives
• Scoping of prospective investor network

Desired Candidate Profile

• MBA (General or Marketing or related) preferred
• 1+ years of experience in Strategy, Marketing, PR or CEO/Founders’ office teams
• Non-MBAs with 3+ years of experience in related fields can also apply    

• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices