- Connecting with minimum 80 working professionals (prospective students) each day
from the leads/database present on leadsquared CRM
- Generating a pool of prospects by identifying the need of upskilling depending on
the student’s area of interest
- Helping prospective students with the detailed information about the programs
offered through phone or video counselling & create a strong pipeline
- Ensure to meet daily deliverables & achieve weekly/monthly enrolment target

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Role & Responsibilities
As a Senior GenAI Engineer you will own the AI layer of our product — building the features that make Zenskar intelligent. This is not a research role and not a prompt-engineering role. You will build production AI systems that enterprise clients depend on, which means reliability, observability, and rigorous evals matter as much as the AI capability itself. You own the full vertical — the model, the pipeline, and the UI.
- Build and own CS Copilot — a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions
- Build LLM-powered document understanding features — extracting structured, reliable data from unstructured enterprise documents
- Own AI feature UIs end-to-end — you build the interface, not just the model integration layer
- Design and maintain an eval framework — define what 'working' means for each AI feature and catch regressions before users do
- Drive model selection and integration decisions — choosing the right provider and approach for each use case, managing latency and cost
- Own AI platform reliability — observability, fallback behaviour, and graceful degradation when models fail
- Work closely with product, customer success, and the full-stack engineer — AI features only matter if they are usable and trusted by real users
THE IMPACT YOU'LL MAKE-
- You will define what AI means at Zenskar — the features you ship will be the most visible and differentiated parts of the product
- CS Copilot, if done well, changes how enterprise customer success teams operate every single day — this is a high-stakes, high-visibility surface
- You will establish the engineering culture around AI reliability at Zenskar — evals, observability, and disciplined iteration
- Your work will directly accelerate enterprise deals — AI features are increasingly a buying criterion for our clients
- You will be the person who brings engineering rigour to a domain where most companies ship demos and call it a feature
Ideal Candidate
- Strong Senior GenAI / AI Backend Engineer Profiles
- Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production
- Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
- Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
- Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
- Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
- Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
- Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
- Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
- Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
- Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
- Mandatory (Company) – Product companies / startups, preferably Series A to Series D
- Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs
- Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
- Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience
- Preferred (Skill) – Experience with fine-tuning (LoRA / QLoRA) or open-source model deployment (vLLM / Ollama)
- Preferred (Frontend) – Basic ability to build or contribute to frontend (React or similar)
- Highly Preferred (Education) – Candidates from Tier-1 institutes (IITs, BITS, NITs, IIITs, top global universities)
Ideal Candidate
6+ years of experience selling B2B SaaS to US customers
Prior success as one of the first AEs at a startup; comfortable working in a fast-paced, early stage startup environment
Track record of consistently beating your quota
Solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early stage setup
Strong project management skills and proactiveness, given the long sales cycle and pilot (free trials) heavy nature of deals.
Strong first principles understanding of business fundamentals; Ability to understand the product at a granular level; Ability to empathise with the end user, and understand their pain points
Strong first principles understanding of different stages of the sales funnel, and experience with good CRM hygiene
Strong first principles understanding of sales processes e.g. MEDDPICC
Willingness to get your hands dirty and do the grunt work in the early days.
MANDATORY - Willing to work in the US time zone (~4 am IST) on weekdays (Mon-Fri) because the majority of our clients are based in the US. You have flexibility on when you want to start your day in the afternoon (IST), or take breaks (e.g. family time, gym etc). This role will require you to stretch outside your comfort zone.
Excellent written and oral communication skills
Ability to build, manage and motivate a team
Self driven individual with high ownership and strong work ethic
Previous entrepreneurial experience is a huge plus
Experience catering to CFO persona is a plus
Familiarity with billing systems, CPQ and accounting systems is a plus
Not taking yourself too seriously.
Position: Solar Power Plant Intern (Online)
Location: Remote
Duration: 2 Months
Type: Internship
Company: Solar Complete
About Solar Complete
At Solar Complete, we are dedicated to providing comprehensive solar power plant consultation services that empower businesses, communities, and individuals to make the transition to clean, renewable energy seamlessly and efficiently.
The Internship will be conducted (Online-Work From Home Mode) under Solar Complete firm registered at Kanpur, Uttar Pradesh.
Key Responsibilities
The Internship will be under Solar Complete firm which is a Solar EPC firm having a registered office at Kanpur, Uttar Pradesh in which students will be given the opportunity to work as an intern in the departments of the company.
Successful candidates will get the internship WhatsApp group joining link and batch starting Intimation via email and students to have to submit some documents as per instructions given by the support team.
Generally,
Interns will do the related task on current running solar projects of the company such as design-related tasks in this 2 months period time and will complete the task within the deadline given by the solar complete team.
Benefits
Mode: online – You can easily do work from home internship via mobile/laptop/desktop/Tablet.
Flexible Timing– You can access this internship any time, anywhere with simplicity.
Ease of Registration via online.
Attractive Solar Education Videos– Videos make your learning more interesting and easy to understand.
Doubt Clarification-Our Solar Design team for doubt clarification anytime.
Online certification– After completing the internship certificate will be sent to you via email.
Values you will get after completing the internship – Complete solar company’s work exposure and training as per industry standards, for completing internship requirements as per university syllabus of students.
Get opportunities of working in multiple solar project tasks with latest technology tools.
Get maximum LIVE easy, enjoyable, interaction sessions during specific solar project tasks training and briefing.
Fulfill your Internship requirements.
Get career motivational talks by Industry professional.
Connect and work with other college students and share culture during internship.
#Actualize is Hiring for Creo Design Engineer.
Position Title: Piping Design Engineer
Location: Bangalore
Tool: AutoCAD
Education: Mechanical Engineering, Diploma, ITI
Job Description:
· Expertise in generating isometric drawings from the piping layout using the AutoCAD platform.
· Having a good understanding capabilities of the 2D Piping layout.
· Good Knowledge on P&ID.
- Working closely with design, product management, and development teams to create elegant, usable, responsive, and interactive interfaces across multiple devices.
- Turning UI / UX designs into prototypes, creating awesome interactions from designs, writing reusable content modules, and maintainability of the code.
- Implementing UI development principles to ensure that the product client-side servers at scale.
- Reviewing and optimizing usage by monitoring key metrics and rectifying the issues proactively.
- Performing well in a fast-paced environment and bring in optimal flow for rapidly changing design / technology.
What you need to have:
- B.Tech / B.E.; M.Tech; MBA / PGDM; MCA
- 3 to 4 years of relevant work experience as a web developer, UI developer, JavaScript expert, or frontend engineer
- Sound knowledge in Javascript, Typescript, ReactJs, NextJs, Gatsby, HTML, CSS
- Familiar with UI layouts, SASS, bootstrap, and the CSS GRID system
- Understanding of REST API, GraphQL
- Understanding of web sockets
- Must have used TDD frameworks mocha, chai, jest et
- Proficient with JavaScript frameworks such as jQuery, Angular et al
- Experience debugging using popular JavaScript-based tools like Chrome Developer Console
- Passionate to create good design and usability
- A team player with good communication skills
API Lead Developer
Job Overview:
As an API developer for a very large client, you will be filling the role of a hands-on Azure API Developer. we are looking for someone who has the necessary technical expertise to build and maintain sustainable API Solutions to support identified needs and expectations from the client.
Delivery Responsibilities
- Implement an API architecture using Azure API Management, including security, API Gateway, Analytics, and API Services
- Design reusable assets, components, standards, frameworks, and processes to support and facilitate API and integration projects
- Conduct functional, regression, and load testing on API’s
- Gather requirements and defining the strategy for application integration
- Develop using the following types of Integration protocols/principles: SOAP and Web services stack, REST APIs, RESTful, RPC/RFC
- Analyze, design, and coordinate the development of major components of the APIs including hands on implementation, testing, review, build automation, and documentation
- Work with DevOps team to package release components to deploy into higher environment
Required Qualifications
- Expert Hands-on experience in the following:
- Technologies such as Spring Boot, Microservices, API Management & Gateway, Event Streaming, Cloud-Native Patterns, Observability & Performance optimizations
- Data modelling, Master and Operational Data Stores, Data ingestion & distribution patterns, ETL / ELT technologies, Relational and Non-Relational DB's, DB Optimization patterns
- At least 5+ years of experience with Azure APIM
- At least 8+ years’ experience in Azure SaaS and PaaS
- At least 8+ years’ experience in API Management including technologies such as Mulesoft and Apigee
- At least last 5 years in consulting with the latest implementation on Azure SaaS services
- At least 5+ years in MS SQL / MySQL development including data modeling, concurrency, stored procedure development and tuning
- Excellent communication skills with a demonstrated ability to engage, influence, and encourage partners and stakeholders to drive collaboration and alignment
- High degree of organization, individual initiative, results and solution oriented, and personal accountability and resiliency
- Should be a self-starter and team player, capable of working with a team of architects, co-developers, and business analysts
Preferred Qualifications:
- Ability to work as a collaborative team, mentoring and training the junior team members
- Working knowledge on building and working on/around data integration / engineering / Orchestration
- Position requires expert knowledge across multiple platforms, integration patterns, processes, data/domain models, and architectures.
- Candidates must demonstrate an understanding of the following disciplines: enterprise architecture, business architecture, information architecture, application architecture, and integration architecture.
- Ability to focus on business solutions and understand how to achieve them according to the given timeframes and resources.
- Recognized as an expert/thought leader. Anticipates and solves highly complex problems with a broad impact on a business area.
- Experience with Agile Methodology / Scaled Agile Framework (SAFe).
- Outstanding oral and written communication skills including formal presentations for all levels of management combined with strong collaboration/influencing.
Preferred Education/Skills:
- Prefer Master’s degree
- Bachelor’s Degree in Computer Science with a minimum of 12+ years relevant experience or equivalent.
- Develop new user-facing features
- Build reusable code and libraries for future use
- Ensure the technical feasibility of UI/UX designs
- Optimize application for maximum speed and scalability
- Assure that all user input is validated before submitting to the backend
- Collaborate with other team members and stakeholders
Skills And Qualifications
- Proficient understanding of web markup, including HTML5, CSS3
- Basic understanding of server-side CSS pre-processing platforms, such as LESS and SASS
- Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery
- Good understanding of advanced JavaScript libraries and ReactJS frameworks.
- Good understanding of asynchronous request handling, partial page updates, and AJAX
- Basic knowledge of image authoring tools, to be able to crop, resize, or perform small adjustments on an image. Familiarity with tools such as Gimp or Photoshop is a plus.
- Proficient understanding of cross-browser compatibility issues and ways to work around them.
- Proficient understanding of code versioning tools, such as Git / Mercurial / SVN.
- Self-motivated and a good team player.
- Good communication and interpersonal skills.
- Preferred years of experience- 2- 3 years
- Bachelor’s Degree in Engineering from a reputed Institute.
Job description
R360 powers a data-driven customer engagement ecosystem that enables the worlds leading organisations to earn customer loyalty every day.
For over 10 years, R360s loyalty and reward platforms have driven ambitious loyalty programs for some of the worlds biggest brands including Axis Bank, Standard Chartered Bank, HDFC Bank and Emirates National Dubai Bank. We have 500+ global retail partnerships and offer our clients reward programs, nuanced customer segmentation, data-centric campaigns, and big data analytics.
Our multidisciplinary team of technology experts, product engineers, data scientists, client relationship managers and customer experience professionals work together with our clients to enable loyalty by enhancing customer acquisition, engagement and retention.
Currently we are looking for a SeniorUI Developer
What you ll do :
- Develop complete UI and integrate the same with backend APIs
- Work as full stack developer with prime focus on UI
- Work end to end from design and development
- Code & design review
- Troubleshoot critical issues and guide team as well
What we'll need :
Mandatory skills :
- Overall 3 to 8yrs of overall UI experience
- 3+years of hands-on experience in Angular/ React technologies
- Hands on experience in implementing micro front end architecture
- Strong knowledge in building highly responsive web & mobile applications
- Strong Data structures & algorithm skill
- Strong communication
Technical Skills :
- Front end technologies - Angular, Java Script, jQuery
- Backend technologies - Java, REST
-Mark-up Languages - HTML, CSS3, Bootstrap
-Database - SQL & NoSQL
Modelling - UML & ERD
Bonus point: Candidate from Product/ Banking would be preferred
Bonus point: Candidate from Product/ Banking would be preferred
Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results









