3D Fashion designer (CLO 3D)

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Job Title: Corporate Outreach Manager

Location: Work from Office

Company: Miror Therapeutics Pvt. Ltd.

Department: Corporate Wellness / Business Development

Reporting To: Marketing Head

Company Overview:

Miror is India’s leading FemTech platform transforming how women experience peri-menopause and menopause. In just a year, we’ve built India’s largest menopause-focused WhatsApp community, partnered with the National Health Mission and the Indian Menopause Society, and launched category-defining nutraceutical products and digital health services. Our app blends science and technology—offering personalized care pathways, symptom tracking, diagnostic links, games, AI-powered chat, expert consultations, and more. We're proud recipients of the Innovation in Menopause Care award at the Global Women’s Health Innovation Conference 2024 and are rapidly scaling toward our $1B+ vision. Learn more: miror.in

Role Overview:

We are seeking a dynamic and confident Corporate Outreach Executive to expand Miror’s corporate wellness footprint. The candidate will be responsible for connecting with HR heads, corporate decision-makers, and wellness committees to introduce Miror’s healthcare programs, consultations, and wellness initiatives.

This is a work-from-office role involving structured outreach, follow-ups, and relationship management.

Key Responsibilities:

·       Identify and approach corporates for employee wellness programs and healthcare collaborations.

·       Connect with HR Heads, Admin Heads, and Corporate Decision-Makers.

·       Pitch Miror’s services including women’s health programs, doctor consultations, awareness sessions, and supplement solutions.

·       Schedule meetings (virtual/physical) for senior management or medical experts.

·       Maintain strong follow-ups and convert leads into corporate tie-ups.

·       Maintain detailed records of outreach activities, leads, and conversions.

·       Coordinate with internal teams for smooth execution of corporate programs.

·       Support in organizing corporate health camps, awareness drives, and wellness workshops.

·       Achieve monthly outreach and partnership targets.

·       Drive revenue through corporate wellness packages, consultations, and supplement programs.

·       Consistently meet or exceed assigned monthly revenue targets.

·       Maintain strong follow-up cycles to ensure high conversion ratios.

·       Build and manage a structured corporate database with clear tracking of pipeline stages.

·       Coordinate internally for smooth execution of corporate programs post-conversion.

·       Submit weekly performance and pipeline reports to management.

Eligibility Criteria:

·       Graduate in any discipline (MBA in Marketing/HR preferred).

·       2–5 years of experience in B2B sales, corporate outreach, healthcare marketing, or wellness programs.

·       Strong communication and presentation skills.

·       Confident in corporate interactions and negotiations.

·       Target-oriented with strong follow-up skills.

·       Proficient in MS Office and CRM management.

Key Skills:

·       Corporate relationship management

·       Business development & lead generation

·       Healthcare/wellness awareness pitching

·       Professional communication

·       Strategic follow-up & conversion

Interested? Let’s Connect!

https://www.linkedin.com/in/indrani-dutta-a9a65135/

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

ROLES AND RESPONSIBILITIES:

Video-led Content Strategy:

• Implement the video-led content strategy to meet business objectives like increase in views, leads, product awareness and CTR
• Execute the video content framework that talks to a varied TG, mixes formats and languages (English and vernacular)

Production:

• Ability to write/edit clear and concise copy and briefs unique to the platform, and influence/direct designers and agencies for creative output
• Creating the monthly production pipeline, review and edit every piece of video content that is produced
• Explore AI-based and production automation tools to help create communication stimuli at scale
• Manage our agency and partner ecosystem to support high-scale video production
• Manage the monthly production flow and maintain data sheets to enable ease of tracking
• Increase CTR, Views and other critical metrics for all video production

Project Management:

• Oversee the creation of various video formats, including explainer videos, product demos, customer testimonials, etc.
• Plan and manage video production schedules, ensuring timely delivery of projects within budget
• Upload and manage video content across multiple digital platforms, including the digital platforms and other relevant platforms
• Ensure all video content is optimized for each platform, following best practices for SEO and audience engagement
• Coordinate with the content team to integrate video content on the platforms
• Maintain an archive of video assets and ensure proper documentation and tagging

Capabilities:

• Drive the development of capabilities around production, automation, upload, thereby leading to a reduction in TAT and effort
• Work with technology teams to explore Gen AI tools to deliver output at scale and speed
• Identifying opportunities for new formats and keeping up with trends in the video content space

Customer obsession and governance:

• Relentless focus on making customer interactions non-intrusive; using video content to create a frictionless experience
• Zero tolerance for content and communication errors
• Develop a comprehensive video guidelines framework that is easy to use by businesses yet creates a distinct identity for the brand
• Have a strong eye for grammar and ensure that every content unit adheres to the brand tone of voice
• Create checks and balances in the system so that all customer-facing content is first time right, every time

Performance tracking:

• Tracking and analyzing production, go-live status and engagement metrics using tools like Google Analytics, etc.
• Gauge efficacy of video content produced, and drive changes wherever needed
• Provide regular reports on video performance, identifying trends, insights, and areas for improvement

IDEAL CANDIDATE:

Qualifications:

• Bachelor's degree in Communications, Digital Marketing, Advertising or a related field
• Proven experience as a creative/content writer or in a similar role, preferably with exposure to AI-driven content creation.

Work Experience:

• 3-5 years of relevant experience in the space of content marketing/advertising, experience in Digital Marketing with a focus on video content, will be an advantage

Skills:

• Excellent command over the English language
• Hands-on experience of copywriting, editing, and creating communication
• Ability to handle complex briefs and ideate out of the box
• Creative thinking and problem-solving skills, with a passion for storytelling and visual communication
• Deep customer focus by understanding customer behaviour and analyzing data & real-world experiences
• Detailed orientation & very structured thinking, think of customers' entire journey and experience
• Strong communication and collaboration skills to effectively work with diverse teams
• Passion for emerging technologies and the ability to adapt to a fast-paced and evolving environment
• Excellent project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines
• Proficiency in AI tools and video editing software (e.g., Adobe Premiere Pro, Final Cut Pro) and familiarity with graphic design
• software (e.g., Adobe After Effects, Photoshop)

PERKS, BENEFITS, WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

About the role

We’re looking for a passionate Market Research Associate, with an analytical mindset and thrust to constantly thrive with current market trends.

As a Market Research Associate you will be responsible for providing actionable insights by conducting detailed market research to provide in-depth analysis of the current market trends, competitive analysis, market share across our line of products - Scalefusion, NuovoPay, and NovoTeam.

What will you do?

• Develop a good understanding of the SaaS industry and perform in-depth analysis to evaluate the current market trends.
• Demonstrate ability to track and analyze global market development, competitive landscape, impact of economic trends on the industry, business scenario and growth prospects
• Provide analytical interpretation of the data to conceptualize and build perspectives based on industry trends and their impact
• Identify and understand change-causing trends that impact our market, as well as industries related to our products.
• Perform valid and reliable market research on competitors’ products & services and turn into actionable insights for product and marketing managers.
• Help our sales & marketing team to generate effective strategies based on secondary market research.
• Collect data on consumers, competitors and market place and consolidate information into actionable items, reports and presentations
• Understand target market characteristics and map its needs with the offerings
• Research, curate and build database(accounts & contacts) using lead generation tools like LinkedIn Sales Navigator, Zoominfo, Lusha  etc to fuel sales pipeline
• Identify prospective industry events, trade shows, networking events and opportunities

Job Description

• Experience in Mendix Low code development
• Rapid /Intermediate Mendix certified developer.
• Manage multiple priorities and ensure team deliveries in a dynamic environment
• Strong communication (oral and written) skills
• Experience working as a developer in an Agile Project using Scrum is a plus.

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward. 

Top Skills

•    You write high quality, maintainable, and robust code, often in Java or C++.

•    You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

•    You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

•    You solve problems at their root, stepping back to understand the broader context.

•    You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

•    You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

•    You recognize and use design patterns to solve business problems.

•    You understand how operating systems work, perform and scale.

•    You continually align your work with Amazon’s business objectives and seek to deliver business value.

•    You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

•    You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

•    You communicate clearly with your team and with other groups and listen effectively. 

Skills & Experience

•    Bachelors or Masters in Computer Science or relevant technical field.

•    Experience in software development and full product life-cycle.

•    Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

•    Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

•    Proficiency in SQL and data modeling.

Senior Software Development Engineer - Chennai  

Who we are?  

Kaleidofin is a financial platform for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.  

In a very short time span, global investors such as Omidyar Network, Blume Ventures and well known individual investors have supported Kaleidofin’s well thought out business model with $2.8 million in seed funding.  

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.  

To know more about Kaleidofin, do visit our site https://kaleidofin.com/  

What You’ll Do?  

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:  

• Lead design and development of products working closely with business team 
• Independently own software components and co-own entire applications with a small group of fellow developers 
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance 
• Build performant, scalable, yet secure, enterprise ready back end architectures that can support millions of users in parallel 

• Establish strong engineering best practices and champion their adoption 

Who You Need To Be? 
 

• 4+ years’ experience in software product development and delivery 
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).  
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities. 
 

• All experience should be from good product development or e-commerce background. 
• Able to take ownership of working with atleast one of mobile or web app teams for complete integration with backend 
• Must have shown good stability in all your previous associations.  
• Skill set 

• Have strong backend knowledge and cloud development exposure 

• Proficiency in Java, Spring boot, Hibernate, REST API development 
• Worked with at least 1 RDBMS (Mysql preferred). NoSql is a plus. 
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place. 
• Writing high quality code which is made better by unit tests and integration tests is how you work 
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few 

• Knowledge of test driven development and AWS tech stack will be a good plus 

Job Description :

• 3 or more years of experience of server side web systems engineering and middleware in a project services or product engineering organisation
• Hands-on development experience using JavaScript on the Server Side with Node.js and associated frameworks
• Published sites/systems that are now online
• Self motivation and ability to manage your own time to get the job done at the high international quality levels we expect
• An engineering Degree in computer science or equivalent practical experience
• A solid understanding of networking, storage, operating/browser systems engineering as well as application/software systems performance optimisation and third party systems integration
• Hands on experience with Amazon Web Services
• Prior experience working within the Media, E-commerce, Telecommunications or similar large scale consumer facing industry