Digital Marketer

We are seeking an experienced & highly skilled Java Lead to join our team. The ideal candidate will have a strong background in both front end & Back-end Technologies with expertise in JAVA, and Spring.

As a Lead, you will be responsible for overseeing the development

team, architecture saleable application & ensuring best practices in software development. This role requires a hands on leader with excellent problem solving abilities & a passion for mentoring junior

team members.

Responsibilities

• Lead & mentor a team of developers proving guidance on coding standards, architecture & best
• practices
• Architect, design & develop ent to end JAVA based web applications & ensure high performance,
• security & scalability
• Work closely with cross functional teams, including product managers, designers & other developers
• to ensure alignment on project requirements & deliverable.
• Conduct code reviews & provide constructive feedback to team members to improve code quality &
• maintain a consistent codebase
• Participate in Agile/Scrum Ceremonies such as stand ups, sprint planning & retrospectives to
• contribute to the development process.
• Troubleshoot & resolve complex technical issues & ensure timely resolution of bugs & improvements.
• Stay up to date with emerging technologies & industry trends recommending & implementing
• improvements to keep our stack modern & effective

Skills & Requirements

• Minimum 8 Years of experience in Java development, with at least 2 years in Lead developer role.
• Back-end - Core JAVA/JAVA8, Spring-boot, Spring Framework, Micro-services, Rest API’s, Kafka,
• Database - MySQL
• Must be working in the fintech/ Payments domain

Preferred

• Experience with Batch writing, Application performance, Caches security, Web Security

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Job Title: Human Resources Manager (only from product-based companies)

Location: New Delhi, We are based out of Research & Innovation Park in IIT Delhi

Job Type: Full-time

Reports to: CEO

Summary: We are seeking an experienced Human Resources Manager to join our team. The ideal candidate will have a minimum of 5 years of experience in recruitment, team management, and employee relations. The Human Resources Manager will be responsible for managing the day-to-day operations of the HR department, developing and implementing HR policies and procedures, and ensuring compliance with all applicable employment laws and regulations.

Key Responsibilities:

Develop and implement HR policies and procedures to ensure compliance with all applicable employment laws and regulations.

Manage the recruitment process, including developing job descriptions, posting job openings, screening resumes, and conducting interviews.

Develop and implement employee training and development programs to ensure that employees have the necessary skills to perform their jobs effectively.

Manage employee relations issues, including grievances, conflicts, and disciplinary actions.

Oversee the performance management process, including setting performance goals and providing feedback and coaching to employees.

Manage the compensation and benefits program, including developing and implementing competitive compensation and benefits packages.

Maintain HR records and ensure that employee files are up-to-date and accurate.

Develop and implement HR metrics to measure the effectiveness of HR programs and initiatives.

Partner with senior leaders to develop and implement HR strategies that support the overall goals of the organization.

Requirements:

Bachelor's degree in Human Resources or related field.

Minimum of 5 years of experience in recruitment, team management, and employee relations.

Strong knowledge of employment laws and regulations.

Excellent communication and interpersonal skills.

Ability to work independently and as part of a team.

Strong problem-solving and decision-making skills.

Ability to handle sensitive and confidential information.

Strong organizational and time management skills.

• Exp 10+ yrs in UI developement
• Exp in Architectular design
• Experience in Develop and enforce best practices for design, development, code quality and testing.
• Experience in leading technology practice team members in the creation of knowledge repository and its distribution/utilization, ensuring the quality and completeness of the information gathered.
• Experience in providing solutions for wide variety of problems faced in Practice from a technology perspective such as:
• Customer requirements
• Developer’s problems
• Process Automation
• Team skill enhancement
• Identification and implementation of reusable components/frameworks
• Co-ordinate between the solution seeker and the provider
• Experience in creating a tech team.