International sales Manager

Roles and Responsibilities: 

1. Online Catalog Management 

Ensure menu and product catalog hygiene across all e-commerce platforms. Update product listings, descriptions, pricing, and availability. 

Regularly audit online catalogs to identify and resolve bugs or inconsistencies.

2. E-Commerce Platform Operations 

Handle operations on platforms like Amazon, Shopify, Big Basket, Swiggy Instamart, Blinkit, and others. 

Liaise with platform points of contact (POCs) to align on promotions, campaigns, and strategies. 

Coordinate with platforms to resolve technical or operational issues promptly.

3. Sales and Performance Optimization 

Meet and exceed sales targets through data-driven strategies and promotions. Formulate and execute marketing strategies to boost product visibility and increase sales. Research and on board new e-commerce portals to expand the brand’s digital footprint. 

Analyse sales trends, identify gaps, and optimize listings for maximum visibility and conversion. 

4. Customer Coordination 

Address and resolve customer queries and complaints across e-commerce platforms. 

Collaborate with customer service teams to enhance the buying experience and build customer loyalty. 

Implement strategies for improving customer satisfaction and online reviews.

5. Logistics and Order Fulfilment 

Coordinate with production, warehousing, and logistics teams to ensure seamless order fulfilment. 

Track and resolve issues related to order delays, returns, and cancellations. Monitor inventory levels to prevent stock outs or overstocking.

6. Online Reputation Management 

Monitor and manage the brand’s online reputation across all platforms. Respond to customer feedback and reviews professionally and promptly. 

Work with the marketing team to implement strategies for maintaining a positive brand image. 

7. Data Analysis and Reporting 

Use tools like Excel to analyse sales data, customer trends, and platform performance. Generate and present weekly and monthly performance reports. 

Provide actionable insights to optimize campaigns and product placements. 8. Collaboration and Coordination 

Work closely with internal teams, including marketing, production, warehousing, and logistics. 

Partner with digital media teams to develop promotional campaigns for e-commerce platforms. 

Stay updated on the latest trends in the e-commerce landscape and implement best practices. 

Desired Candidate Profile: 

Experience: Minimum 2 years in e-commerce operations, preferably in FMCG or D2C sectors. 

Platforms Expertise: Hands-on experience with Amazon, Shopify, Swiggy Instamart, Flipkart, and similar platforms. 

Skills: 

Strong proficiency in Microsoft Excel for data analysis and reporting. Excellent organizational and multitasking abilities. 

Strong communication skills for internal and external coordination. 

Analytical mind-set to identify trends and formulate data-driven strategies. Education: Bachelor’s degree (B.B.A/B.M.S or equivalent preferred).

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

JD (Job Description) focuses on driving sales, managing operations, and leading staff, covering responsibilities like achieving targets, visual merchandising, inventory control, customer service excellence, staff recruitment/training, ensuring brand consistency, and analyzing sales data, all while upholding company policies and maintaining a positive store environment. Key qualifications include leadership, retail experience (preferably apparel), strong communication, POS system proficiency, and a customer-focused approach. 

REVIEW CRITERIA:

MANDATORY:

• Strong Manager – Customer Success, Account management Profile
• Must have 6+ years of overall experience with at least 4+ Years in Customer Success role
• Must have 1+ years of experience in AdTech industry
• Must have experience managing clients in the outside India market (Preferably US/America clients)
• Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.
• Must have strong technical understanding of digital advertising / programmatic platforms/software products
• B2B SaaS (AdTech experience is highly preferred)

PREFERRED:

• B.E/B.Tech (IT/CSE/ECE) with MBA preferred
• Exposure to pre-sales activities, including product demos, onboarding, and performance review presentations.
• Experience in analyzing data-driven advertising performance metrics and building optimization strategies.

ROLE & RESPONSIBILITIES:

As an Associate Manager - Customer Success, you are someone who comes with 6 to 8 years of Account Management/Business Development/ problem solving / hustling experience ina high growth internet startup/ technology company. As a technically savvy and results-driven Customer Success Manager, your primary focus will be driving revenue growth, reducing churn, enhancing product value, and supporting pre-sales activities. The ideal candidate should possess excellent relationship-building skills, a strong technical background, and a drive for achieving results.

• Serve as the primary point of contact and trusted advisor for assigned clients, ensuring exceptional customer service and satisfaction.
• Proactively engage with clients to understand their business objectives, monetization goals, and challenges, and provide strategic recommendations to achieve optimal results.
• Collaborate closely with internal teams, including Sales, Product, and Operations, to coordinate seamless onboarding, implementation, and ongoing support for clients.
• Conduct regular performance reviews and analysis of client monetization stack, identifying areas for improvement and developing optimization strategies.
• Monitor key performance metrics and provide timely reports and insights to clients, highlighting advertising performance, trends, and opportunities for growth.
• Deliver product demos and educate clients on best practices, new features, and industry trends to maximize their utilization and success with our platform solutions.
• Resolve client inquiries, concerns, and issues promptly and effectively, escalating to the appropriate teams when necessary.
• Support pre-sales activities, including conducting product demonstrations, presenting technical information, and addressing client inquiries and concerns.
• Stay up to date with industry trends, competitive landscape, and emerging technologies in the ad tech space to provide valuable insights and recommendations to clients.

IDEAL CANDIDATE:

• 6-8 years of experience in the internet/technology industry (mandatory)
• B.E / B.Tech(IT / CSE / ECE) along with an MBA degree (highly preferred)
• Excellent relationship-building skills with the ability to establish trust, foster positive business relationships and credibility with clients.
• Strong technical background with a solid understanding of software products and the ability to quickly grasp new technologies.
• Accountability and personal organisation are essential
• Experience in managing a diverse group and training each according to company standards
• Strong problem-solving and analytical skills with a focus on results and driving revenue growth.
• Outstanding communication and presentation skills, with the ability to convey complex concepts in a clear and concise manner.
• Self-motivated and proactive mindset with the ability to work independently and as part of a team.
• Experience in the tech industry or a related field is highly desirable.

PERKS, BENEFITS AND WORK CULTURE:

• Flexible work hours and leaves
• Salary advance
• Maternity/Paternity leave benefits & adoption assistance
• Butler & Concierge services
• Team Off-sites & Celebrations

BEYOND WORK:

• Insurance benefits for you and family
• Interest-free loans
• Gift vouchers for special moments
• Fully-equipped Gym
• Education Sponsorship Programs

Candidate must have Experience with Language React, Angular,MobX, and SCSS .

Candidate should have Hands-on experience working with RDBMS

Candidate should have developed from scratch.

Candidate should be more stronger in Angular.

Candidate from service based companies will be preferred.

Our Client is a technology based luxury home design company that is committed to creating unique and personalized spaces for our clients. They are into interior designing for HNI clients for their luxury designing needs.

About the role:

• Planning, Budgeting and Forecasting
• Assist the Head Finance in overseeing the company's fiscal activities including planning, budgeting, and financial forecasting.
• Working closely with Sales/Operations/Supply Chain team to ensure delivery of agreed budget.
• To work with Business team in evaluation of monthly financial result, identify the reason for lower performance and work for corrective actions.
• Meet accounting financial objectives by assisting Finance Head in forecasting requirements, preparing an annual budget, scheduling expenditures, analyzing variances, and initiating corrective actions.
• Statutory Compliances
• Ensure timely compliance with all statutory and regulatory authorities including ROC compliances.
• Avoid legal challenges by understanding current and proposed legislation, assisting Finance Head in enforcing accounting regulations, and recommending new procedures
• Checking the bills to comply with local stipulations of finance, tax and relevant legal provisions.
• Monitoring GST Returns - GSTR 1, GSTR 3B and Annual return in 9/9C; reconciliation of Input Tax Credit in books of accounts with GSTR 2A and Electronic Credit Ledger
• Monitoring TDS compliance, deduction and monthly payment, preparation and submission of TDS returns
• Financial Reporting
• Assist and monitor day to day accounting (including accounts payable and accounts receivable)
• Ensure hygiene of accounting processes.
• Reconcile Account Receivable & Accounts Payable including ageing analysis.
• Confirm financial status by monitoring revenue and expenses; coordinating the collection, consolidation, and evaluation of financial data; and preparing reports as required by management.
• Prepare various month/quarterly/annual reconciliations.
• Support in Audit completion - Statutory Audit and Internal Audit; submission of data related requirement & co-ordination with auditors

Requirements

• CA with 3+ years of experience
• Excellent Microsoft Office skills
• Excellent organization skills: ability to plan and organize work so that it is efficient and effective
• Experience in GST filing, TDS filing, and other statutory compliance are recommendatory.
• Experience in Startup is an added advantage.
• Strong analytical skills, communications and presentation skills are required.
• Attention to details and drawing conclusions from large data are critical capabilities.

Monitor, analyze and fix issues for consumer and business VoIP services and endpoints.

Roles and Responsibilities:

• As a senior engineer, take complete ownership of supporting customer VoIP deployments by debugging issues and providing fixes.
• Document existing call flows
• Build customer confidence to grow/lead local team
• Support customer during PST timezone during critical releases

Required Skills:

• 5+ yrs of supporting VoIP services/applications on Linux platform
• Strong scripting skills with bash/python/perl
• Expertise in SIP call flow analysis and debugging using Wireshark
• Experience in debugging Kamailio and Freeswitch/asterisk based applications is a must
• Good problem solving/analytical skills
• Excellent written and verbal communication

Preferred Skills:

• Experience working with open source projects
• Exposure to Level 3-Carrier Integration
• Knowledge of networking protocols

Founded in 2012,leader in high-assurance digital identity verification technology.  Named to Forbes’ 2019 AI 50 list as one of America’s most promising AI companies, and a recent winner of API World’s Best Data API, technology applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, address, phone, IP, social media and the broader Internet to verify identities in real-time. Customers include three of the top five U.S. banks, seven of the top 10 U.S. card issuers, as well as the majority of leading digital banks, lenders and insurers across the U.S. We are funded by some of the world's best investors and entrepreneurs including Scale Venture Partners, Commerce Ventures, Work-Bench, Santander InnoVentures and Two Sigma Ventures.

The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in!

We are hiring Software Engineers across all levels in Chennai!

What You'll Be Doing:

• You will partner with our globally distributed cross-functional teams (Product, Infrastructure, Engineering, Data Science) to conceptualize and develop new features and products in an Agile environment. 
• You will own end-to-end delivery of software components all the way to production, owning team features or systems. 
• You will be building web services and REST APIs at scale, and producing high-quality results with direct business impact. 
• You will be monitoring and improving existing deployments, ensuring that we are continuously improving our product. 
• You will be assisting our QA and support team in triaging and resolving production issues and addressing bugs.

What You'll Bring:

• You are interested in our tech stack (Java or Scala, SQL Databases, NoSQL, Microservices, and AWS)
• You will have strong computer science fundamentals: data structures, algorithms, various programming languages, distributed systems, etc. 
• You understand engineering best practices and seek to improve engineering standards, tooling and processes. 
• You write “good code” - easily understandable, secure and testable! 
• You are comfortable helping drive technical decisions within our Engineering team. 
• You have experience building applications at scale.

Perks & Benefits:

• Competitive base salary
• Equity - every employee is a stakeholder in our enormous upside
• A tech-first company culture driven by entrepreneurial thinking and talent
• A great team working in unison towards the same mission
• Transparency is what our product is built on—and so is our culture
• Daily catered lunch and snacks
• Generous health insurance for employees and dependents
• Flexible work schedule and work-from-home options
• Flexible PTO

We are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Designation    : Java Developer

Experience      : 3 - 10 Yrs

Location           : Baner, Pune

• Strong at Core Java and OOPs concepts
• Exposure to Spring, Spring Boot and Spring Security

• Exposure to implementation of RESTful APIs
• Exposure to programming using Queues and No SQL database
• Good understanding about JavaScript, JQuery and HTML
• Good understanding about Data Structures and Multithreaded Programming
• Good understanding about Design Patterns