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Hiring Tele-collection Executive!
Location: Thane, Mumbai
Experience: Fresher / Experienced
Age Limit: 19 – 35 years
Salary: ₹14,000 – ₹25,000 (based on interview) + Incentives
Industry: Loan recovery (BL, PL, Credit card)
Education: 10th / 12th Pass & Above
Job Timing: 9:30 AM – 6:30 PM (Day Shift)
Immediate joiners prefered
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 Responsibilities:
1. Understand the requirements and work with different teams.
2. Create design concept and detail engineering
3. Design considering manufacturability, cost, performance and durability.
4. Conduct design review to improve product performance and resolve technical issues.
5. Knowledge in GD&T,
6. Good knowledge in Tooling, fixture and jigs would be a plus.
7. Knowledge of manufacturing / production / assembly processes would be a plus.
8. Hands on experience in various manufacturing processes would be a plus.
9. Good knowledge on any of the 3D modelling software (SolidWorks).
10. Good in engineering mechanics, strength of materials & theory of machines.
11. A good grasp of engineering and design principles
12. experience in sheet metal design, machine design, material handling equipment design etc.
13. Experience with prototype testing and evaluation is highly desirable.
14. Knowledge of manufacturing processes and assembly techniques.
15. Excellent problem-solving skills and the ability to think creatively to overcome design challenges.
16. Document and maintain comprehensive design specifications, technical reports, and project documentation
17. The Design Engineer is responsible for developing, modifying, and improving products, components, and systems based on technical requirements.
This role involves concept development, 3D modelling, prototyping, testing, and ensuring product designs meet quality, cost, and performance standards
Context :
This is a waste management vertical SaaS with leading solutions and acceptance from the market on the path to growth. However, the product architecture needs a redefinition because of impending growth. The product needs refactoring of bottleneck code pieces, introduction of flexibility through modularity, scalability, layers of application and infrastructure layer security, interfaces designs, large amounts of data management and synchronization of business-critical accounting data. All of these goals have to be achieved while the product remains in production and business grows.
What the Role Needs:
Review current architecture and anticipate engineering bottlenecks
• Identify subsystems and isolate them
• Design interfaces between subsystems, evaluate available tools for each of the subsystems and make choices
• Make choices of tools, libraries, frameworks and design patterns
• Set benchmarks and KPI metrics
• Mentor & coach team leads to ensure architectural blueprints are practiced.
Requirements :
• Extensive experience with AWS cloud infrastructure - EC2, S3, Route53, ELB, Auto-Scaling groups, VPC, AWS Lambda, SNS/SQS, DynamoDB
• Database design & management for data-heavy product/s - NoSQL & SQL DBs (MongoDB, PostgreSQL, MySQL)
• Extensive API design & patterns experience including micro services
architecture/communication - REST, Webhooks, API gateways, and GraphQL
• Prior experience in designing a multi-tenant architecture would be beneficial
• Experience with caching architectures and technologies - Redis, Memcached, or KeyDB
• Experience with caching, sessions, OWASP, state management design patterns, micro front ends, and frameworks (ReactJs/VueJS)
• Experience with designing & architecture of event driven services - Kafka, RabbitMQ, NATS.io, socket.io
• Experience in Docker, Kubernetes, or Cloud Native applications
• Have experience in one of the workflow orchestrations tools - Apache Airflow, Cadence by Uber, AWS Glue
• Solr or Elastic search experience
• Understanding and working with other senior team members to devise and execute DRP, data storage and backup strategies, incident reporting
• Prior experience of software architecture in real-time tracking like Uber
• Prior experience in notifications delivery tools - FCM
• Understanding of ADR and UM
1. Adept at writing long format and short format content
2. Responsible for website content including but not limited to product descriptions, SEO
content (basic understanding of SEO needed) and blog articles
3. Work with a graphic team to create the website and blog creatives like banners, videos etc.
4. Write content for various marketing requirements: PR articles, press releases, email,
SMS and app requirements
5. Responsible for product label content and getting the same designed (with internal/external design teams)
6. Assist in campaign communication (ideation and execution) as and when required
7. Self-starter, motivated and proactive
Introduction:
We are seeking a Full Stack Software Developer to join our innovative team, focusing on a project in the Food & Beverage (F&B) sector and contributing to an established Financial Services product. The ideal candidate will have extensive experience in both backend and frontend development, particularly with Python and ReactJS, and a proven ability to deliver mobile-responsive web applications.
Key Responsibilities:
- Develop and maintain web applications using Django or similar MVC frameworks.
- Design and implement mobile-responsive web pages using frontend technologies such as ReactJS.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure the performance, quality, and responsiveness of applications.
Required Skills and Qualifications:
- Minimum of 3 years of experience in full stack development.
- Proficient in Python and experience with Django or other MVC frameworks.
- Strong experience in building mobile-responsive web pages using frontend technologies such as ReactJS.
- Familiarity with RESTful APIs and server-side integrations.
- Understanding of the entire web development process (design, development, and deployment).
- Excellent problem-solving skills and ability to work under tight deadlines.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and innovative work environment.
Prospect for potential new clients and turn this into increased business.
Cold call as appropriate within your market or geographic area to ensure a robust pipeline of opportunities. Meet potential clients by growing, maintaining, and leveraging your network.
Identify potential clients, and the decision makers within the client organization.
Research and build relationships with new clients.
Set up meetings between client decision makers and company’s practice leaders/Principles.
Plan approaches and pitches. Work with team to develop proposals that speaks to the client’s needs, concerns, and objectives.
Participate in pricing the solution/service.
Handle objections by clarifying, emphasizing agreements and working through differences to a positive conclusion. Use a variety of styles to persuade or negotiate
Skills required:
Excellent verbal and written communication skills.
Energy, passion and a real drive to get ahead
Capable, quick, determined
Immaculate attention to detail
Team player
Startup mentality, high willingness to learn, and hardworking.
Job Description: Senior Talent Acquisition Specialist (Non-IT)
Position Overview: The Senior Talent Acquisition Specialist (Non-IT) plays a crucial role in sourcing, attracting, and selecting qualified candidates for various non-information technology (IT) positions within the organization. This role involves collaborating with hiring managers, understanding their staffing needs, and executing recruitment strategies to ensure the acquisition of top-tier talent across different departments and functions.
Key Responsibilities:
1. Recruitment Strategy Development:
- Work closely with hiring managers and department heads to understand their staffing needs, job requirements, and team dynamics.
- Develop comprehensive recruitment strategies for various non-IT roles, considering different sourcing channels and candidate pools.
2. Sourcing and Candidate Identification:
- Utilize various sourcing methods such as job boards, social media, networking events, referrals, and direct sourcing to identify potential candidates.
- Conduct market research to stay updated on industry trends, salary benchmarks, and competitor practices.
3. Candidate Screening and Assessment:
- Review resumes and applications to identify candidates who meet the job requirements and organizational culture fit.
- Conduct initial phone screenings and interviews to assess candidates' qualifications, motivations, and alignment with company values.
4. Interview Coordination:
- Coordinate and schedule interviews between candidates and hiring teams.
- Provide guidance and support to hiring managers in conducting effective interviews, including developing interview questions and evaluation criteria.
5. Candidate Relationship Management:
- Maintain regular communication with candidates throughout the recruitment process, keeping them informed about their application status.
- Provide a positive candidate experience by addressing questions, concerns, and feedback promptly.
6. Employer Branding:
- Represent the organization in a positive and professional manner, both online and offline.
- Participate in employer branding initiatives to enhance the company's reputation as an employer of choice.
7. Offer Management and Negotiation:
- Extend job offers to selected candidates and negotiate compensation packages within established guidelines.
- Collaborate with HR and legal teams to ensure the accuracy and compliance of employment offers and related documentation.
8. Data and Reporting:
- Maintain accurate and up-to-date records of candidate interactions and recruitment activities in the applicant tracking system (ATS).
- Generate recruitment metrics and reports to analyze the effectiveness of sourcing strategies and identify areas for improvement.
9. Collaboration and Continuous Improvement:
- Collaborate with cross-functional teams, including HR, hiring managers, and senior leadership, to align recruitment efforts with overall business goals.
- Stay updated on industry best practices and emerging recruitment trends to continuously improve the talent acquisition process.
Qualifications and Requirements:
- Bachelor's degree in Human Resources, Business Administration, or a related field (or equivalent experience).
- Proven experience as a Talent Acquisition Specialist or Recruiter, preferably in non-IT sectors.
- Strong understanding of recruitment processes, techniques, and tools.
- Excellent communication and interpersonal skills.
- Familiarity with applicant tracking systems (ATS) and other recruitment software.
- Ability to handle multiple priorities and work in a fast-paced environment.
- High level of professionalism, ethics, and integrity.
Targets Vs Scope of Work
-Willing to work on Targets Weekly 9 Interviews & 2 Joiner’s per week is must.
-Should be able to work aggressively on Hiring Relevant Right Fit candidates only.
-Should be able to get Right Fit Skilled best Talent for the positions given to work on.
-You should be 100% Talent Acquisition profile only we don’t need Operations or HRBP role person to work in HR Talent Acquisition profiles.
-
IF YOU ARE WORKING ON Talent Acquisition profile & Willing to work in same then only apply with us.
- Conceptualizing visuals that bring simplicity and user friendliness to complex user flows
- Designing the visual identity of digital products.
- Implementing strategy of typography, iconography, colors, layout
- Creating responsive design comps on the basis of wireframes
- Asking smart questions, taking risks and championing new ideas
- Bringing expert opinion on best-practices, patterns and trends
- Translating high-level explicit and latent requirements into functional user interfaces
- Presenting designs and articulating design decisions
- Communicating design rationale and maintaining consistency throughout the project
- Executing designs as a part of software development teams
- Strive to make your work intuitive, compelling and a delight to see.
- Be a self-motivated team player with a positive, solution-oriented attitude
- Be dynamic and open to working in fast-paced, ambiguous and quickly changing environments
- Be open to receiving feedback and constructive criticism.
- Excellent verbal, written, and visual communication skills
- Expertise in standard UI/UX software such as Adobe XD, Photoshop, and Illustrator.
- A solid grasp of user-centered design (UCD), planning and researching, A/B testing, rapid prototyping, heuristic analysis, usability and accessibility concerns.
- Experience in Education Technology would be great

India's leading financial services company
● Drive/Execute full stack Data driven Growth & marketing campaigns for our UPI business, focused on key metrics in terms of Strategy, Team management, Product Marketing, Growth management, and Revenue management.
●Should be responsible for driving the User Growth, Revenue Growth, Retention, and Engagement of the Platform on a day-to-day basis.
● Deploy successful marketing campaigns and take ownership right from ideation to implementation:
● Segment customer base on various transactional/ behavioral features & design effective & 'reach out' & programs for them in the form of these marketing campaigns.
● Manage end-to-end consumer lifecycle management for the business vertical.
● Responsible for driving the entire marketing funnel from Acquisition to Retention using various digital marketing channels.
● Monitor customer funnel & identify new levers of growth and apply them to the business
● Suggest new features/product innovations whenever necessary basis
understanding of consumer behaviour.
Superpowers/ Skills that will help you succeed in this role:
● Bachelors degree in engineering or related field from reputed colleges.
● Must be data driven with strong problem solving and
analytical skills.
● High degree of ownership in taking things to completion.
● Ability to multitask and work on diverse range of
requirements.
● Excellent communication skills with ability to handle complex
negotiations.
● Prior experience in e-commerce industry is a plus.
- The Architect/ Lead Backend Engineer will handle the digital experience from inception to go-live model.
- The role holder is expected to create a vision and roadmap for the digital experience to provide best in class customer experience for each of the product solutions handled. The role holder will play a critical role in leading the innovation and growth of our front end web and mobile platforms.
- Must be from Good Companies and have been working on high Scale of Traffic
- Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Groovy or Go.
- 3+ years of experience building microservices.
- Strong experience in architecting and building distributed systems, scalability, and availability
- Strong knowledge of data structures, algorithms, and designing for performance
- Strong knowledge of cloud technologies like AWS/Google Cloud/Azure
- Good understanding of RxJava or Actors framework
- Proficient with RDBMS
- Strong knowledge on data stores, database design, data modelling and SQL queries
- Extensive experience building and owning large- scale distributed backend systems
- Experience working with three or more of : Unix/Linux environments, Distributed and parallel systems, Workflow automation, CI/CD Platform development, Cloud platforms development e.g. AWS/GCP, Kubernetes/Container platforms based development




