MIS Coordinator

We are looking for someone who is Proactive with strong decision making, persuasion, leadership and communication skill. He/She should be able to use technical skills to explain the benefits of products to potential customers and demonstrate how our products are better than the competitor’s product, interest the client in in purchasing products, negotiate a price and complete the sale.

In addition to retaining the current clients, attracting and securing new ones, help clients to solve any issues that arises when the product is installed. Responsible to achieve the sales target assigned.

Responsibilities and duties:

• Business development of process equipment in Food and Beverage industry.

• Responsible for achieving the sales targets on monthly, quarterly and yearly basis through effective planning.

• Sales B2B, Lead Generation and converting customers into key accounts. 

• Meeting clients and consultants for product presentation, understanding customer needs, submission and discussion of technical and commercial offer.

• Responsible for end to end sales process with clients, throughout the project development stage, proposal stage, the final selection process, the closing, and delivery of the project.

• Follow up to get the payment in time from the customers.

• Real time analysis of the market to have an advantage over the competition. 

• Interaction with service team to ensure that customer experiences high level of service.

Required qualifications and skills:

• A Bachelor's degree in Mechanical/Electrical/ Advance Diploma in Water Quality Management.

• 3 to 5 Years in business development of capital equipment in food and beverage industry.

• Preference: Water treatment/UV Disinfection/HVAC/Food/Fruit Processing.

• Knowledge in WTP, ETP, RO, STP etc.

• Able to complete projects in a timely manner

• Excellent computer literacy is must and knowledge of visualization would be preferred.

• The ability to work with multiple discipline projects.

• Excellent organizational, time management, leadership, and decision-making skills.

• Strong written and verbal communication skills.

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ 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 AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

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

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.

Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists

Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)

 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus

Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark

Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

Job Title: Data Entry Specialist

Location- Gurgaon/Remote

Salary- 10k

Job Summary:

We are seeking a detail-oriented and organized Data Entry Clerk to join our team. The ideal candidate will be responsible for accurately and efficiently entering data into our systems, maintaining and updating records, and ensuring data integrity and accuracy.

Responsibilities:

- Enter data from various sources into the computer system with high accuracy and speed.

- Verify data accuracy and completeness by reviewing and validating information.

- Maintain data entry requirements by following data program techniques and procedures.

- Organize files and documents, ensuring they are up-to-date and easily accessible.

- Generate reports, retrieve data, and assist in data analysis as needed.

- Identify and correct errors or inconsistencies in data entries.

- Assist in maintaining data confidentiality and security protocols.

- Collaborate with team members and supervisors to ensure data accuracy and completeness.

Requirements:

- Proven experience as a Data Entry Clerk or similar position.

- Proficient in using data entry software and MS Office, especially Excel.

- Excellent typing speed and accuracy.

- Strong attention to detail and data accuracy.

- Ability to multitask, prioritize, and manage time effectively.

- High school diploma or equivalent.

Preferred Skills:

- Knowledge of database management systems (DBMS) is a plus.

- Experience with data cleaning and validation procedures.

- Familiarity with basic data analysis techniques.

- Strong communication and organizational skills.

JD:

• Demonstrable hands-on experience working with Azure technologies.
• Extensive experience with Azure DevOps and pipelines.
• Experience working with Jira and Github.
• Experience of Infrastructure as Code using Terraform to model cloud infrastructure.
• Practical experience of engineering best practices with continuous improvement.

Required

• HashiCorp Certified: Terraform Associate
• Microsoft Certified: Azure Fundamentals

Desirable

Microsoft Certified: Azure Administrator Associate

Location- Remote

Job Type: Full time on contract

The Opportunity

We have a new opportunity as part of our newly developed Events & Experiences team at Extramarks Education- India's leading education tech company. 

A position based out of the head office in Noida, we are looking for a Marketing Manager- Events with experience marketing large scale events, IPs across lifestyle and entertainment events. 

In a hands-on role, our ideal candidate is a great communicator and collaborator, can plan and execute effective event marketing strategies focusing on result-driven metrics, lead multiple events, are solutions-focused, and know the country's events landscape. If creating quality consumer engagement strategies and driving audience metrics sounds like your thing, we'd love to hear from you.   

Who are you?

As a person, you are organized, thorough, and not afraid to get your hands dirty. Driven and confident, you are a good listener and can communicate effectively across organizational levels, external partners, and the team. You want to get the job done but not at the cost of quality and substance. Collaborative and easy-going, you have a strong work ethic with a penchant to mentor and inspire your team. 

The Role

You will play a key role in creating, shaping, executing, and managing event marketing strategies across our events calendar. 

• Bring exceptional people and project management skills driving multiple initiatives across our events calendar.  
• Solutions-focused, you bring quantitative, analytical, and problem-solving skills to draw insights from metrics, recommendations from the analysis and present marketing plans/solutions to internal & external stakeholders.
• Understand brand values, objectives, and goals to devise well-articulated communication across requirements and recommendations.
• Collaborate and work in sync with support teams across the organization to bring alive marketing plans. 
• Establish marketing goals and key KPI's for event marketing initiatives across events 
• Manage and foster media partnerships and key relationships to derive maximum media value and brand awareness across events.

Responsibilities

• Conceptualize and execute campaigns, including budgets, for events across the events calendar, including partnered events
• Work with the consumer insights team to understand consumer feedback and engagement pre and post events to customize solutions for event and consumer segments.
• Track, monitor, and analyse metrics across business units and HO level, working closely with the digital marketing team. 
• Be up to date and well-versed in marketing trends across digital and offline channels, industry news, talent, and collaborators and have bankable standing relationships with industry professionals, vendors, and agencies. 
• Work closely with event management and sales teams to create an event marketing plan that includes media deliverables for partners wherever needed.
• Create timely feedback reports on data and consumer engagement post events 
• Manage and mentor a team of marketing executives working across events.

Professional & Educational Qualifications 

• 7+ years of experience in event marketing and execution, ideally with an agency or with a brand with an in-house events team
• Ability to analyse data to drive conclusions and form recommendations and solutions
• Excellent communication, presentation, and analytical skills. 
• Experience having managed a team as well as lead other internal stakeholders in managing small to large events. Work cross-functional, building trust, and fostering collaboration.
• Very organized, detail-oriented, and a strong problem-solver
• Graduate/Post Graduate Degree
• Travel, as required.

• Experience with building scalable applications using Flutter on android or IOS. (we are happy to meet you even if you do not know flutter but are willing to learn)
• Strong knowledge of Architectural pattern like Bloc, Provider etc in Flutter. Knowledge of writing Plugins in Flutter is a good to have skill
• Ability to think about scalability and reusability while developing flutter widgets.
• Experience in working with Dart.
• Knowledge of unit & integration testing, agile development process, jira & API integration will be extremely useful
• Strong UI building skills and the ability to handle updates in UI with high frequency data changes.
• Experience with version control systems (bitbucket, git etc.)
• Strong knowledge of algorithms and data structures
• Should have demonstrated experience working on application development projects and test-driven development. Experience in writing high quality code
• Strong state management knowledge
• Experience in Fintech domain will be another added advantage

•  You will ne Responsible for revamping of existing LMS Platform along with designing and developing new projects.
• Researching, designing, implementing and managing software programs
• Testing and evaluating new programs
• Identifying areas for modification in existing programs and subsequently developing these modifications
• Writing and implementing efficient code
• Determining operational practicality
• Developing quality assurance procedures
• Deploying software tools, processes and metrics
• Maintaining and upgrading existing systems
• Training users for new modules
• Hands on experience in LMS or CRM will be preferred
  • Good knowledge on MySQL, ES6, Node.js, SaaS, AWS, Bootstrap and Css3
•  

• Write and post technical job descriptions
• Source potential candidates on niche platforms
• Parse specialized skills and qualifications to screen resumes
• Proven work experience as a Technical Recruiter
• Hands-on experience with various interview formats (e.g. phone, Skype and structured)
• Technical expertise with an ability to understand and explain job requirements for IT roles
• Familiarity with Applicant Tracking Systems and resume databases
• Solid knowledge of sourcing techniques (e.g. social media recruiting and Boolean search)
• Excellent verbal and written communication skills
• Solid understanding of HR practices and labor legislation
•