Data Engineer

About HeliT Consulting:

HeliT Consulting is a specialized recruitment support firm helping Japan-based companies and recruitment agencies hire bilingual talent across cybersecurity, cloud, data, and AI/ML roles. We operate as a trusted backend sourcing partner, enabling our clients to accelerate hiring for high-demand technical positions while maintaining full ownership of their client relationships.

At HeliT Consulting, we combine domain expertise with a relationship-driven approach to help our partners fill complex technical roles efficiently and confidently.

We’re opening limited intern/Part-time work slots for someone who wants real ownership in end-to-end, relationship-driven hiring (not volume work). This is hands-on exposure to high-trust recruiting, with direct mentorship by IIT/ISB Alums

Selected intern’s day-to-day responsibilities include:

1. Identify and map bilingual Japan-based tech professionals using LinkedIn and public sources.

2. Work closely with senior-level professionals in high-growth roles and expand a premium LinkedIn network early in your career.

3. Maintain clean data tags in our CRM (role, domain, location, language signal, status)

4. Handle sourcing, screening, scheduling of interviews, and respectful follow-ups following Japanese business etiquette

Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 29th Jan’26 and 5th Mar’26

3. are available for duration of 6 months. No Experience certificate will be provided if candidate leaves before 6 months.

4. have relevant skills and interests

Other requirements

MUST HAVE:

1. Good English communication

*2. Can work from Monday to Friday, 10:00 am to 2:00 pm (IST)*

Additional Perk: You will be working directly under the supervision of IIT/ISB Alums

Good to Have:

JLPT N3/N2/N1 candidates/Japanese speaking skills – Not Must, But Nice to have. Interest in Japanese culture is a plus.

Sr.DevOps Engineer (5 to 8 yrs. Exp.)

Location: Ahmedabad

• Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
• Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
• Strong Experience in Jenkins & AWS Native CI/CD implementation using code
• Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
• Day to Day AWS Cloud administration tasks
• Strong Experience in Configuration management using Ansible and PowerShell.
• Strong Experience in Linux and any scripting language must required.
• Knowledge of Monitoring tool will be added advantage.
• Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
• Hands on with application deployment process

Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes

Role: Software Developer

Industry Type: IT-Software, Software Services

FunctionalArea:ITSoftware- Application Programming, Maintenance

Employment Type: Full Time, Permanent

Education: Any computer graduate.

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.

Responsibilities:

·      Search, design, develop, and test blockchain technologies.

·      Brainstorm and help evaluate applications for new tools and

technologies as they continually evolve.

·      Maintain and extend current client- and server-side applications

responsible for integration and business logic

·      Be involved in the global blockchain community—work on

implementing and integrating the latest improvement proposals.

·  Document new solutions as well as maintain that of existing ones. 

Requirements:

·      Total 3 Years of experience required,Ethereum, Blockchain

·      Knowledge in any one of the programming languages: NodeJS,

Java, GoLang,C, C++,PHP

·      Basic understanding of blockchain technology: Bitcoin, Smart

Contracts, Solidity, Cryptography

·Knowledge in private blockchains such as Hyper Ledger, Corda is

a plus

· Basic understanding of HTML, CSS, JS, Bootstrap and knowledge

in front-end technologies such as Angular/ React/ Vue is a plus.

·      Knowledge in databases and database modelling: MySQL,

PostgreSQL, MongoDB

·      Understanding of Software Development Lifecycle (SDLC)

·      Experience using Git for version control

• Directly responsible for achieving the revenue targets for the category
• Developing a deep understanding of the category on dimensions of: