Educational Counsellor

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

Job Description – Shipping & Logistics Executive

We are seeking a detail-oriented and proactive candidate for the role of Shipping & Logistics Executive at our Gurgaon office. The candidate will be responsible for handling export documentation, coordinating shipping and logistics activities, and ensuring compliance with Indian customs regulations for apparel exports. The ideal candidate should possess strong communication skills, good computer knowledge, and practical experience in shipping and logistics operations.

Key Responsibilities:

• Prepare and manage export documentation including invoices, packing lists, shipping bills, and other customs-related documents.
• Ensure compliance with Indian customs regulations and export procedures for apparel shipments.
• Coordinate with freight forwarders, transporters, CHA agents, and internal departments for smooth shipment execution.
• Track shipments and maintain accurate records of dispatches, delivery schedules, and logistics activities.
• Handle documentation related to shipping, logistics, and export operations in a timely and accurate manner.
• Communicate effectively with clients, vendors, and logistics partners regarding shipment status and documentation requirements.
• Maintain proper filing and documentation systems for export and logistics records.
• Support day-to-day logistics operations and resolve shipment-related issues efficiently.
• Use computer systems and MS Office applications effectively for reporting and documentation purposes.
• Ensure timely completion of all operational and compliance-related activities.

Required Skills:

• Strong knowledge of export documentation and customs procedures.
• Working knowledge of shipping and logistics operations.
• Good computer proficiency, especially in MS Office and Excel.
• Strong communication skills in English and Hindi.
• Attention to detail and ability to handle multiple tasks efficiently.
• Good coordination and problem-solving skills.

Qualification & Experience:

• Minimum Qualification: B.Com
• Relevant experience in Shipping & Logistics / Export Documentation preferred.
• Experience in apparel export industry will be an added advantage.

7–10 years of experience in Data Engineering or Master Data Management.

5+ years hands-on experience with Informatica MDM (Multi-Domain Edition).

Strong understanding of MDM concepts: golden record, hierarchy management, trust/survivorship, data governance.

Proficient in:

Informatica MDM Hub Console, Provisioning Tool, Services Integration Framework (SIF).

ActiveVOS workflows, user exits (Java), and match/merge tuning.

SQL, PL/SQL, and data modeling for MDM.

Experience integrating MDM with upstream and downstream systems (ERP, CRM, Data Lake, etc.).

Knowledge of data quality integration using Informatica Data Quality (IDQ).

Performance Marketing Specialist 

Job Type: Full-time (On-site)

Location: Coimbatore

Experience: Minimum 7 - 10 Years

(With 2 years Experience in Edu Tech)

KGiSL Educational Institutions seeks a seasoned Performance Marketing Specialist to spearhead our Lead generation initiatives. As a pivotal member of our leadership team, you will devise and execute comprehensive paid marketing strategies across prominent channels, including Google Ads, Facebook Ads, and LinkedIn Ads, to drive lead generation, conversions, and brand visibility.

Key Responsibilities:

- Paid Marketing Strategy Development: Craft and execute paid marketing campaigns to drive lead generation, conversions, and business growth.

- Campaign Optimization: Manage and optimize campaigns for performance marketing, ensuring maximum ROI and campaign efficacy.

- Team Leadership: Lead, mentor, and develop a high-performing paid marketing team, fostering a culture of innovation and collaboration.

- Performance Analysis: Analyze campaign performance, providing actionable insights and data-driven recommendations to optimize marketing efforts.

- Budget Management: Effectively manage paid marketing budgets, allocating resources to maximize ROI and achieve business objectives.

Requirements:

- Minimum 7-10 Years of Experience: Proven expertise in paid marketing, digital marketing, or a related field, with a strong track record of successful campaign execution.

- Technical Proficiency: Familiarity with tools and platforms used for lead generation, social media marketing (SMM), search engine marketing (SEM), and performance marketing.

- Leadership and Analytical Skills: Strong leadership, analytical, and problem-solving skills, with the ability to drive business growth and innovation.

Preferred Qualifications:

- Edtech Experience: Prior experience in the Edtech sector is highly desirable.

- Immediate Joiners: Candidates available for immediate joining are preferred.

What We Offer:

- Competitive Compensation: A competitive salary structure.

- Comprehensive Benefits: A comprehensive benefits package, including health insurance

- Professional Growth: Opportunities for professional growth, development, and career advancement.

- Dynamic Work Environment: A dynamic and collaborative work environment that fosters innovation and creativity.

Responsibilities:

● As a Flutter Developer, you will create multi-platform apps for iOS and Android

using Google’s Flutter development framework.

● The primary focus will be on creating new experiences and maintaining the

acclaimed app.

● Deep experience contributing to and managing high-scale production mobile

apps. You must have previous experience in Flutter development.

Requirements:

● 4-5 years working as a full-time professional developer (Mobile) and 2 Years in

flutter(Must).

● Experience building a moderately complex Android app with knowledge of dart.

● Bonus if it’s on the Play Store or we can view the project

● Willing to work with cross-platform frameworks.

● Willing to learn and work on different mobile platforms/frameworks when

needed.

● Published at least one app on the Play Store using Flutter/ Native

(Java/Kotlin/Swift/Object c).

● Good understanding of state management, Flutter flavors, and app architecture.

● Familiarity with GraphQL, REST APIs and mobile backend integration.

● Nice to have: Experience on Native side for android and ios

What it takes to work at Arré Voice:

● You have an extreme bias for action.

● You are a tinkerer and problem solving is a part of your DNA

● You thrive in a chaotic, resource scarce environment where new challenges are

a norm

● You have a fundamental, first principles approach to problem solving

● You have the right balance of data rigor and intuit

● You are passionate about fitness and inspire your colleagues to be fit

• Following up on leads and winning new clients.
• Developing and implementing strategic plans to manage and grow accounts.
• Retaining clients and building strong, trusting relationships. Understanding client needs and identifying new business opportunities within your portfolio.
• Providing superior customer service and ensuring client satisfaction. Communicating and coordinating with internal teams to deliver solutions.
• Identifying opportunities for improvement and proposing new tools and processes.
• Supporting sales teams to improve their performance and reach targets. Developing and maintaining excellent knowledge and understanding of our business, offerings, competitors, and industry.

Associate – Recruitment.

LinkedIn- https://www.linkedin.com/in/sakshi-kulkarni-292932229/">Sakshi Kulkarni | LinkedIn

Website: http://www.bohiyaanam.com/">http://www.bohiyaanam.com/
Bohiyaanam Talent Solutions

Requirement:

• The knowledge of PHP. ...
• Laravel experience. ...
• A strong command of HTML, Java, and CSS.
• The understanding of PM frameworks – Agile, Scrum, Waterfall, etc.
• Working experience of handling APIs; knowledge of RESTful or SOAP.
• Solid understanding of OOP and model view controller (MVC).

Job Description:

Excellent Java development skills using J2EE, J2SE, Servlets, JSP, JDBC, Java, Spring, Springboot, Hibernate, Microservices, Webservices, Extensive experience designing, developing RESTful APIs, coding experience with either Java/J2EE/Spring, Good SQL knowledge

Required experience in Core Java, Spring, Springboot, Hibernate, Microservices, rest services

Able to understand SDLC process, Extensive experience designing and, developing RESTful APIs, Extensive coding experience with either Java/J2EE/Spring

Qualification Any Graduate