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We are seeking a skilled Full-stack developer. As a Full-stack developer, you will collaborate with an international cross-functional teams to design, develop, and deploy high-quality software solution.

Responsibilities:

Design, develop, and maintain the application.

Write clean, efficient, and reusable code.

Implement new features and functionality based on business requirements.

Participate in system and application architecture discussions.

Create technical designs and specifications for new features or enhancements.

Write and execute unit tests to ensure code quality.

Debug and resolve technical issues and software defects.

Conduct code reviews to ensure adherence to best practices.

Identify and fix vulnerabilities to ensure application integrity.

Working with the product owner to ensure seamless integration of user-facing elements.

Collaborating with DevOps teams for deployment and scaling.

Requirements:

Bachelor’s degree in computer science or information technology, or a related field.

Proven experience as a skilled Full-stack developer. Experience in Insurance domain is appreciated.

Excellent problem-solving and debugging skills.

Strong communication and collaboration abilities to work effectively in a team environment.

Strong experience with Spring Boot 3, Java 17 or newer and Maven.

Skills & Requirements

Angular 18+, GitHub, IntellJ IDEA, Java 11+, Jest, Kubernetes, Maven, Mockito, NDBX/ng-aquila, NGRX, Spring Boot, State Management, Typescript, Playwright, PostgreSQL, Sonar, Swagger, AWS, Camunda, Dynatrace, Jenkins, Kafka, NGXS, Signals, Taly.

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.

• Overall Synopsis (Skills to focus) 
• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

This is a full-time WFH NIGHT SHIFT role.

The role is fully remote, but the client is conducting a drive on a given date and place.

19th, 20th April: Kolkata

Candidates who are not from Kolkata will attend the Virtual Interview Drive.

All the rounds will be online.

About the organization:

Bhanzu is a Math EdTech company which has recently raised a Series B round led by Epiq Capital with participation from Z3 partners and existing investors and is rapidly scaling across geographies with online live classes and games.

About the Founder & CEO - Neelakantha Bhanu

Neelakantha Bhanu Prakash is the world's fastest human calculator and India’s mental math Olympic Gold Medalist. Alongside holding four world records and 50 Limca book records, Mr. Bhanu is also a TEDx speaker and educator. He believes that the skill he has been gifted with can be passed on and taught using the right methodology and initiates in the same direction. Giving his vision of completely eradicating Math phobia a head start, Mr. Bhanu has led numerous projects for developing Arithmetic skills in students across the globe.

He has addressed audiences across 23 countries at the Commonwealth Conclaves, Future city Summits, ISB, IITs, and Multiple other global institutions and meets about the importance of Arithmetic learning in the overall development of a child.

Website:-  https://www.bhanzu.com/

Role: Marketing Intern (WFO)

Location: Bangalore, HSR Layout.

Key Responsibilities:

1.  Collect, organize, and maintain data for marketing activities.
2.  Ensure accuracy and timely updates of information and projects
3.  Conduct market research and competitor analysis.
4.  Provide insights and recommendations based on findings.
5.  Assist in preparing detailed reports for ongoing activities.

Requirements:

1.  Currently pursuing or recently completed a degree in Marketing, Business, or related fields.
2.  Strong organizational and multitasking skills.
3.  Proficiency in MS Office/Google Workspace.
4.  Analytical mindset with attention to detail.
5.  Excellent communication and interpersonal skills.

Note: A Pre-Placement Offer (PPO) will be provided based on performance.

As a Customer Support Executive, you will be responsible for managing inbound calls through a dedicated support line and assisting with system-related queries. Your role involves documenting queries accurately, providing first-level support, and coordinating with the internal team for resolutions. This is a customer-facing role that requires strong communication skills, basic computer knowledge, and a service-oriented approach.

Key Responsibilities

Call Handling & Query Management

• Answer inbound calls on the dedicated support line with professionalism.

• Log and document customer/system queries accurately.

• Maintain structured records for tracking and reporting.

Basic System Support

• Provide timely and accurate first-level responses to customer queries, ensuring issues are resolved effectively.

• Guide the users through basic troubleshooting steps.

• Escalate unresolved or technical issues to the internal team.

Collaboration & Escalation

• Work closely with the internal support team to ensure timely resolutions.

• Communicate escalated issues with complete details for faster problem-solving.

• Follow up to ensure query closure and customer satisfaction.

Documentation & Reporting

• Maintain logs of queries and call outcomes for reference.

• Prepare simple reports on recurring issues and support trends.

• Share daily, weekly and monthly updates with the internal team.

Professional Communication

• Ensure clear, polite, and professional communication with customers. • Handle customer queries with patience and empathy.

• Represent SmartWinnr’s brand values in every interaction.

Job Title: Telesales / Telecaller

Location: Thane

Company: WatchYourHealth.com India Pvt. Ltd.

Job Summary:

We are hiring enthusiastic Telesales Executives / Telecallers who are fluent in English, Marathi, and Hindi. The role involves making outbound calls to customers, explaining products and services, and closing sales.

Key Responsibilities:

Make outbound calls to potential and existing customers.

Explain our healthcare products and services in a clear and convincing manner.

Maintain records of conversations and update CRM systems.

Follow up on leads and achieve daily/weekly/monthly sales targets.

Handle queries and resolve issues with a customer-first approach.

Requirements:

Fluent in English, Hindi, and Marathi.

Good communication and persuasive skills.

Minimum 12th Pass / Graduate (any stream).

Prior telesales or customer service experience preferred but not mandatory.

Salary Offered: ₹11,000 – ₹14,000 per month

Additional Benefits: PF + Incentives

How to Apply: WhatsApp HR Sukanya Tambe

About Company

Our client is a brand co-creation platform that transforms powerful ideas into authentic, profitable, and experience-led brands that can define the future of brands in key consumption categories. They now have 10 brands that are active and these are available across its own D2C channel, ecomm platforms and general and modern trade channels.

WHAT YOU’LL BE DOING:

• Lead Brand Marketing, Strategy, Content and Communication for existing and new brands
• Creating Brand positioning and differentiation strategies, generating brand anticipation and planning Brand launch keeping in mind the key insights gained from customer and competitor analysis
• Translate brand strategies into brand plans, brand positioning, category, product planning and go-to-market execution plans
• Accountable to lead marketing campaigns, content, understanding the brand well, and integrating the brand communication across all channels
• Own and drive social media presence for the brand
• Develop & conduct marketing campaigns to increase traffic & conversion
• Create & deliver ambitious growth plans for the brand's D2C platforms and take onus of D2C business delivery.
• Driving performance on all performance-marketing channels such as Facebook, Google etc, as well as organic, direct and affiliate sources of revenue and traffic.
• Oversee operation of own websites, app(s), content platform(s) and any other digital D2C initiatives.
• Responsible for customer retention marketing activities and merchandising strategy for scaling up revenue.
• Plan and deliver on retention targets within time and budget with focus on key channels such as Email, SMS & Push Notifications.
• Work closely on increase conversions, cross-sell, and drive platform specific influencer activities, and focus on upselling to increase the customer engagement via multiple digital channels.

WHAT YOU’LL BRING TO THE TEAM:

• 7-10 years business and / or marketing experience in relevant start-up/ e-commerce/ D2C/FMCG organizations handling a large brand or 2/3 independent brands.
• Experience working for multiple brands at a time
• Strong experience using performance marketing to drive traffic growth and brand awareness
• Expertise in a similar role as well as experience building effective multi-channel marketing strategies, including affiliate marketing, PPC, SEO, social media and other digital channels.
• Experience in managing digital first brands both from width & depth point of view
• Strength working with cross functional teams in a high growth environment
• Experience in creating end to end online customer journey