AI/ML Engineer

We are looking for an experienced Java Developer with strong proficiency in Kafka and MongoDB to join our dynamic team. The ideal candidate will have a solid background in designing and developing high-performance, scalable, and reliable applications in a microservices architecture. You will be responsible for building real-time data processing systems, integrating various services, and ensuring smooth data flow across systems.

Key Responsibilities:

• Design, develop, and maintain scalable Java applications with a focus on performance and reliability.
• Build and maintain Kafka-based real-time data pipelines for handling high-volume, low-latency data.
• Work with MongoDB to design and optimize database schemas and queries for high throughput and availability.
• Collaborate with cross-functional teams to define, design, and implement new features and improvements.
• Troubleshoot and resolve issues related to system performance, scalability, and reliability.
• Ensure software quality through best practices, including testing, code reviews, and continuous integration.
• Implement and maintain security best practices in both code and data handling.
• Participate in agile development cycles, including sprint planning, daily standups, and retrospectives.

Required Skills & Qualifications:

• 7+ years of experience in Java development, with a strong understanding of core Java concepts (J2EE, multithreading, etc.).
• Hands-on experience with Apache Kafka, including setting up brokers, producers, consumers, and understanding Kafka Streams.
• Proficient in working with MongoDB for designing efficient data models, indexing, and optimizing queries.
• Experience with microservices architecture and RESTful APIs.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is a plus.
• Strong understanding of distributed systems, message-driven architectures, and event streaming.
• Familiarity with version control systems like Git.
• Excellent problem-solving skills, with the ability to debug and optimize code for high-performance systems.
• Experience with CI/CD pipelines and automated testing.

1. Curriculum Development: Collaborate with Academic Advisory Committee and Marketing team members to design and develop comprehensive curriculum for data science programs at undergraduate and graduate levels. Ensure alignment with industry trends, emerging technologies, and best practices in data science education.
2. Faculty Recruitment and Development: Lead the recruitment, selection, and development of faculty members with expertise in data science. Provide mentorship, support, and professional development opportunities to faculty to enhance teaching effectiveness and academic performance.
3. Quality Assurance: Establish and maintain robust mechanisms for quality assurance and academic oversight. Implement assessment strategies, evaluation criteria, and continuous improvement processes to ensure the delivery of high-quality education and student outcomes.
4. Student Engagement: Foster a culture of student engagement, innovation, and success. Develop initiatives to support student learning, retention, and career readiness in the field of data science. Provide academic counselling and support services to students as needed.
5. Industry Collaboration: Collaborate with industry partners, employers, and professional organizations to enhance experiential learning opportunities, internships, and job placement prospects for students. Organize industry events, guest lectures, and networking opportunities to facilitate knowledge exchange and industry engagement.
6. Research and Innovation: Encourage research and innovation in data science education. Facilitate faculty research projects, interdisciplinary collaborations, and scholarly activities to advance knowledge and contribute to the academic community.

Budget Management: Develop and manage the academic budget in collaboration with the finance department. Ensure efficient allocation of resources to support academic programs, faculty development, and student services.

Nurturebox is on a mission to redefine lead generation for the staffing industry with AI-powered precision and insights. We’re seeking a talented AI Scientist to join us in building a next-gen platform that goes far beyond basic lead gen – we’re building an intelligent system designed to deliver warm, qualified leads and actionable buyer insights on demand.

This role is not about plugging into a pre-existing AI stack. You’ll be our first AI hire, bringing your expertise to a ‘plain white canvas’ where you’ll architect and implement our entire AI framework from scratch. Our focus isn’t just on automation but on crafting a solution that actively adapts to industry nuances, incorporating intent data, job listings, and hundreds of signals to zero in on ideal prospects.

Our recruitment product has already gained significant traction, and with you on board, we’re ready to level up to Nurturebox 2.0, pushing the boundaries of personalized, data-driven prospecting. You’ll work alongside our founding team in a flat hierarchy, so there’s zero red tape—just an open runway for innovation. If you’re passionate about tackling complex problems and crave a role where you can directly shape the future of recruiting tech, Nurturebox is where you’ll make your mark.

This is a chance to build a transformative platform from the ground up, with end-to-end ownership and the freedom to create AI-driven solutions that solve real-world staffing challenges. If you’re ready to redefine what’s possible in lead generation, we’d love to meet you.

Why We’re Building This?

By 2030, AI agents/teammates will be embedded in every department of every major enterprise. Engineers, PMs, sales reps—all will work alongside AI "colleagues" that do more than assist; they learn, adapt, and execute autonomously. Imagine hiring AI to do the job, not just assist with it.

At Nurturebox, we’re building that vision specifically for the staffing industry. We know this space inside and out, and we’re crafting a true AI teammate product, not a glorified chatbot or simple co-pilot. This AI is the product—a powerful, adaptive system built to tackle staffing’s unique challenges. 

This is a role to architect something truly groundbreaking from scratch: to create an AI teammate that not only integrates seamlessly but transforms how the staffing industry operates. If you're ready to redefine what AI can do in a business-critical environment, let’s talk about how you could lead the charge with us.

About Ideas2IT (Parent Company)

Ideas2IT is a high-end product development firm growing fast with prestigious logos like Facebook, Bloomberg, Roche, Medtronic, and many exciting SAAS startups.

We have a proven track record of successfully launching 5 startups in the last 6 years. All of them are venture-funded by top-tier firms and have great traction.

• Pipecandy - eCommerce AI. Successfully exited
• Element5 - Healthcare AI. $50M in funding from Insight venture partners
• Carefi.in - Healthcare Fintech. Funded by Sequoia
• IdeaRx - Funded by the second-largest eye care chain in the world
• NurtureBox - Recruitment AI and automation

In this role, you will:

• Conduct deep research on the foundations and capabilities of LLMs.
• Design and implement innovative research projects to explore the application of LLMs for code understanding and generation.
• Develop and evaluate novel techniques for LLM fine-tuning and adaptation to the specific needs
• Collaborate with engineers and other scientists to integrate LLM solutions seamlessly into the Nurturebox platform.
• Stay up-to-date on the latest advancements in LLM research and present findings at conferences and within the company.
• Build a RAG-based solution and leverage Vector DB, Graph DB, chunking, ranking, indexing, semantic search, etc.

You are the ideal candidate if you have:

• Strong foundation skills in AI/ML systems
• Hands-on experience of working with LLMs
• Proven experience conducting deep research on LLMs, with a strong understanding of their architecture, training methods, and capabilities.
• Expertise in natural language processing (NLP) techniques, including text representation, machine translation, and text summarization.
• A solid foundation in machine learning fundamentals, including deep learning architectures and optimization algorithms.
• Excellent programming skills in Python, with experience using popular deep learning libraries (e.g., TensorFlow, PyTorch). 
• Excellent communication and collaboration skills, with the ability to effectively present complex technical concepts to technical and non-technical audiences.
• A passion for innovation and a desire to push the boundaries of what's possible with LLMs.
• Knowledge of LLM evaluation methodologies

Bonus points for:

• Experience working with LLM for codebase
• Experience in building and deploying real-world LLM applications.
• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP).
• A strong publication record in top AI and NLP conferences and journals.

At Nurturebox, you'll join a team of passionate individuals working on the cutting edge of AI. We offer a collaborative and stimulating work environment, competitive compensation and benefits, and the opportunity to impact the future of Agentic AI.

If you're ready to take your LLM expertise to the next level and help us revolutionize Agentic AI transformation, we encourage you to apply! 

Must Have -

a. Background working with Startups

b. Good knowledge of Kubernetes & Docker

c. Background working in Azure

What you’ll be doing

• Ensure that our applications and environments are stable, scalable, secure and performing as expected.
• Proactively engage and work in alignment with cross-functional colleagues to understand their requirements, contributing to and providing suitable supporting solutions.
• Develop and introduce systems to aid and facilitate rapid growth including implementation of deployment policies, designing and implementing new procedures, configuration management and planning of patches and for capacity upgrades
• Observability: ensure suitable levels of monitoring and alerting are in place to keep engineers aware of issues.
• Establish runbooks and procedures to keep outages to a minimum. Jump in before users notice that things are off track, then automate it for the future.
• Automate everything so that nothing is ever done manually in production.
• Identify and mitigate reliability and security risks. Make sure we are prepared for peak times,
• DDoS attacks and fat fingers.
• Troubleshoot issues across the whole stack - software, applications and network.
• Manage individual project priorities, deadlines, and deliverables as part of a self-organizing team.
• Learn and unlearn every day by exchanging knowledge and new insights, conducting constructive code reviews, and participating in retrospectives.

Requirements

• 2+ years extensive experience of Linux server administration include patching, packaging (rpm), performance tuning, networking, user management, and security.
• 2+ years of implementing systems that are highly available, secure, scalable, and self-healingon Azure cloud platform
• Strong understanding of networking, especially in cloud environments along with a good understanding of CICD.
• Prior experience implementing industry standard security best practices, including those recommended by Azure
• Proficiency with Bash, and any high-level scripting language.
• Basic working knowledge of observability stacks like ELK, prometheus, grafana, Signoz etc
• Proficiency with Infrastructure as Code and Infrastructure Testing, preferably using Pulumi/Terraform.
• Hands-on experience in building and administering VMs and Containers using tools such as Docker/Kubernetes.
• Excellent communication skills, spoken as well as written, with a demonstrated ability to articulate technical problems and projects to all stakeholders.

Lead Software Engineer - Backend

It is evolving the way people discover the world by connecting them with exceptional experiences in their city at the push of a button. We are building a magical platform that gets everyone to head out and have fun in a matter of seconds; no matter where you are and what you want to do. We are combining a delightful product experience, data-driven decisions, sophisticated supply side logistics network, and world-class operations to solve a huge basic human problem: how do we have a good time?

We’re growing rapidly with over $200M in annualized sales, 150,000 monthly transactions and profitable unit economics. We are backed by some of the finest investors in Silicon Valley & India. 

We like to solve real-world problems in the simplest, most elegant manner possible. We’re looking for a QA Lead with the ability and passion for building solutions to people-centered problems that are created at the intersection of human behavior and technology. You should also be capable of building and mentoring a fast-growing passionate, young, and talented team. We love folks who have a sense of humor and know how to have fun.Dream, build and iterate. That's our mantra. Because good just isn't good enough.

👩‍💻 The Role

• Full responsibility of designing and building core modules on the application and infrastructure layer.
• Lead a fast-growing team of young, passionate, talented and fun loving superstars.
• Solve challenging architectural and design problems.
• Get your hands dirty with clustering, replication, databases, build systems and infrastructure automation etc.
• Be responsible for building concurrent, performant and scalable services which will power the entire Headout ecosystem.
• Build and contribute to open-source libraries and components.

🌟 Our Dream Engineer

• A penchant for learning and building with new technologies and frameworks.
• You love working with people and have worked in a lead position in the past.
• A knack for writing the most performance optimized code along with it being modular and scalable.
• No challenge is too big to solve; love thinking product and excited to ideate & build stuff all by yourself.
• You're interested in being an early employee at a growing company, with the influence and responsibility that entails.
• You have broad and deep knowledge across a variety of contemporary technologies.

💝 We like

• Strong CS fundamentals, good working knowledge of classic algorithms and data structures.
• 2+years experience developing server-side technologies using any language or framework.
• Excellent communication, collaboration and people management skills.
• Experience working with Spring, Relational Databases, Concurrent Programming, NoSQL flavors, AWS.
• Experience designing scalable, fault-tolerant systems and databases.
• Experience with setting setting up systems and infrastructure.
• Solid understanding of how the web works and its underlying communication protocols.
• People who can't live without solving that algorithm problem that they just stumbled upon.
• People who will give up anything to squeeze in that last bit-level performance.
• Anything else than can surprise us.
• Nice to Haves: An interest in travel, local experiences & hospitality.

• Design and implement software of embedded devices and systems from requirements to production and commercial deployment
• Design, develop, code, test and debug system software
• Review code and design
• Analyze and enhance efficiency, stability and scalability of system resources
• Integrate and validate new product designs
• Support software QA and optimize I/O performance

• Acheive Sales Target
• Meeting with clients virtually or during sales visits.
• To meet Corporate Clients
• demonstrating and presenting products.
• establishing new business.
• maintaining accurate records.
• attending trade exhibitions, conferences and meetings.
• reviewing sales performance.
• negotiating contracts and packages.

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code. 

Responsibilities

• 2-5 years experience.
• Experience with user interface design, database structures and statistical analyses.
• Analytical mindset and good problem-solving skills.
• Good organisational skills.
• Excellent written and verbal communication.
• Ability to work as part of a team
• Object Oriented analysis and design using common design patterns.
• Proven working experience in Java development
• Experience with test-driven development

Qualifications

• Bachelor's degree or equivalent experience in Computer Science or related field
• Development experience with programming languages

Skills Required - Java, javascript, Web technologies - Servlet, HTML, CSS, Development using IDE's.

About the Company - Bandhoo's mission is to help increase income opportunities for construction Workers and Contractors.

India has nearly 70 million construction workers - masons, painters, welders, electricians, plumbers, crane operators, JCB operators, bar benders - doing short gigs across a wide spectrum of projects. Many sectors use them - Real Estate, Factory construction, Power Plants, Infrastructure, etc. More than 30% of these workers are migrant and nomadic.

Bandhoo's mission is to help make this labour market transparent and efficient, thereby helping Contractors find workers more easily, and workers find jobs more conveniently. This venture has the potential to deliver significant social impact and that remains a driving motivation for the Bandhoo team.