
Associate (Post-Sales SaaS / Customer Onboarding Engineer) Profiles
Mandatory (Experience 1): Must have 2+ years of hands-on experience in technical implementation, solutions engineering, or customer-facing engineering roles within B2B SaaS, preferably working with global or US-based clients,
Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and technical implementation from kickoff to go-live, including customer requirement gathering, configuration, data setup, integrations, validation, and post go-live support.
Mandatory (Experience 3): Must have strong Python scripting skills, with hands-on experience writing scripts for data migration, ETL workflows, automation, and data transformation (CSV, JSON, spreadsheets, APIs).
Mandatory (Experience 4): Must have experience working with APIs, webhooks, REST integrations, reading/debugging JSON payloads, handling authentication flows, and troubleshooting integration issues.
Mandatory (Experience 5): Must have hands-on exposure to data modeling, SQL queries (PostgreSQL preferred), data validation, reconciliation, and quality checks to ensure accuracy during migrations and billing-related workflows.
Mandatory (Experience 6): Must have experience collaborating cross-functionally with product, engineering, and sales teams to ensure timely resolution of implementation blockers and seamless client onboarding.
Mandatory (Education): Candidate should have an Engineering degree.
Mandatory (Company Type): B2B SaaS or Services company selling to North America / global markets, in a customer-facing implementation or onboarding

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We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.
What will you need to be successful in this role?
Core Technical Skills
• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Proven experience deploying production LLM applications with 1M+ tokens processed
• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling
• Production experience with RAG systems including hybrid search and re-ranking
• Deep understanding of embedding models and vector databases at scale
• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)
• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)
• Experience implementing multi-agent systems and orchestration
• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)
Advanced Capabilities
• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)
• Knowledge of knowledge graphs and graph-based RAG implementations
• Understanding of model hosting, inference optimization, and cost management
• Experience with MLOps pipelines, CI/CD for ML, and model versioning
• Ability to architect end-to-end ML solutions from data ingestion to deployment
• Experience with data pipelines and ETL for ML workflows
• Proficiency in containerization and orchestration (Docker, Kubernetes)
Client Engagement & Delivery
• Experience presenting technical solutions to clients and stakeholders
• Ability to translate business requirements into technical ML solutions
• Track record of delivering client POCs and production implementations
• Experience creating technical documentation and implementation guides
Good to have
• Experience hosting private LLMs (7B-13B models on-premises or cloud)
• Knowledge of graph databases (Neo4j) and graph neural networks
• Experience with streaming and real-time ML inference
• Published research papers or contributions to open-source ML projects
• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning
• AWS/Azure ML certifications or working towards them
Competencies
• Excellent verbal and written communication skills
• Strong mentoring ability for junior ML engineers
• Self-driven with ability to work independently on complex problems
• Excellent problem-solving skills with systematic debugging approach
• Proactive ownership of projects from ideation to deployment
• Ability to stay current with rapidly evolving AI/ML landscape
• Excellent academic record – B.E./B.Tech, MCA,

Company Description
Founded in 2017, NLET Solutions Private Limited is a technology-driven organization committed to innovating and automating business processes. Specializing in School & College ERP, CRM solutions, and business automation software, NLET empowers educational institutions, enterprises, and MSMEs by enhancing productivity and streamlining operations with AI-driven solutions. With a customer base of over 1,000 businesses and organizations, NLET has significantly reduced manual workload and enhanced operational efficiency. Based in Jaipur, NLET also provides digital growth solutions, including website development, digital marketing, and lead generation through automation.
Role Description
This is a full-time, on-site role located in Jaipur for a Business Development Manager. The selected candidate will identify and generate business opportunities, build and maintain relationships with prospective clients, and drive revenue growth. Day-to-day responsibilities include conducting market research, developing and executing sales strategies, managing client communications, and collaborating with internal teams to meet customer needs and achieve targets. The role requires strong analytical, interpersonal, and negotiation skills to successfully drive client acquisition and retention.
Qualifications
· Proficient in Sales, Business Development, Client Relationship Management
· Skilled in Market Research, Lead Generation, and Prospect Analysis
· Experience in Proposal Development, Presentation, and Negotiation
· Strong understanding of CRM tools and Software Solutions, particularly SaaS
· Proactive mindset with the ability to develop strategic goals and meet targets
· Excellent collaboration, interpersonal, and team management skills
· Bachelor's or Master's degree in Business Administration, Marketing, or a related field
· Previous experience in the technology or SaaS industry is highly desirable
Required
· Graduate / MBA preferred
· 3+ years B2B sales
· Team management
· CRM proficiency
· Good English communication
· Negotiation & closing
· Target-driven mindset
Preferred
· IT / ERP / SaaS sales
· EdTech or enterprise sales
· Schools & colleges domain
· Lead gen automation
· Startup experience
Job Title: Python Django Microservices Lead
Job Title: Django Backend Lead Developer
Location: Indore/ Pune (Hybrid - Wednesday and Thursday WFO)
Timings - 12.30 to 9.30 PM
Experience Level: 8+ Years
Job Overview: We are seeking an experienced Django Backend Lead Developer to join our team. The ideal candidate will have a strong background in backend development, cloud technologies, and big data
processing. This role involves leading technical projects, mentoring junior developers, and ensuring the delivery of high-quality solutions.
Responsibilities:
Lead the development of backend systems using Django.
Design and implement scalable and secure APIs.
Integrate Azure Cloud services for application deployment and management.
Utilize Azure Databricks for big data processing and analytics.
Implement data processing pipelines using PySpark.
Collaborate with front-end developers, product managers, and other stakeholders to deliver comprehensive solutions.
Conduct code reviews and ensure adherence to best practices.
Mentor and guide junior developers.
Optimize database performance and manage data storage solutions.
Ensure high performance and security standards for applications.
Participate in architecture design and technical decision-making.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
8+ years of experience in backend development.
8+ years of experience with Django.
Proven experience with Azure Cloud services.
Experience with Azure Databricks and PySpark.
Strong understanding of RESTful APIs and web services.
Excellent communication and problem-solving skills.
Familiarity with Agile methodologies.
Experience with database management (SQL and NoSQL).
Skills: Django, Python, Azure Cloud, Azure Databricks, Delta Lake and Delta tables, PySpark, SQL/NoSQL databases, RESTful APIs, Git, and Agile methodologies
About the Company
Ranked by Deloitte amongst India's top 25 fastest-growing tech companies, they are a well-capitalized digital startup pioneering full-funnel marketing via programmatic media. They are trusted by leading marketers and agencies in India and is expanding its footprint globally.
Roles & responsibilities:
• Proven experience in Digital Marketing and an understanding of Media channels.
• Identify key audiences - sizing and profile using data points, to determine whether the given audience can achieve the client’s business objective
• Within the aligned audience(s), identify key human truth (insight) using data (quantitative/ qualitative) that leads to a communication platform (one-liner) that demonstrates what a brand should be saying to them and how it should be behaving in media to drive the change in perception/behavior (from/to)
• Flair for communication and presentation to engage and influence stakeholders positively.
• Creation of tactical plan presentation and supporting media plan templates
• Use an understanding of the campaign and marketplace to contribute ideas for campaign experiments
• Build activation platforms/ideas stemming from data-backed cultural or behavioral insights
• Set budget allocation & key channels identified for each to hit the objective
• Write/develop agency POVs based on the latest trends and developments that matter to our industry/clients
• Work on the brand portfolio, brand positioning, and GTM strategy as necessary
• Expertise in problem-solving and technology development.
Requirements:
• At least 4 years of relevant experience (strategy, media, consulting, research)
• Experience in digital media, advertising, marketing
• Solid grasp of digital marketing, especially a deep knowledge of digital media
• Working knowledge and effective vocabulary across search, social, display, video, and/or programmatic media buying
• Prior experience working on a global brand, with a proven track record of driving media and campaign strategies (along with presenting them to senior stakeholders)
• Ability to navigate the digital ecosystem like Facebook, Google, Twitter, LinkedIn, OTTs
• Understanding of brand and DR objectives
• Deep understanding of planning, audience research and measurement tools; with the ability to land on media solutions
Data Scientist
Job Title: Data Scientist – Data and Artificial Intelligence
Location: Hyderabad
Job Type: Full-time
Company Description:
Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI,
and Cyber Security. We help businesses unlock the full potential of these technologies
to achieve their goals and gain a competitive edge. Our unique approach focuses on
delivering value through bespoke solutions tailored to customer specific needs. We are
driven by a customer-centric mindset and committed to delivering continuous value
through intellectual property accelerators and automation. Our team of experts is
passionate about technology and dedicated to making a positive impact. We foster an
environment of growth and innovation, constantly pushing the boundaries to deliver
exceptional results. Website: www.qylis.com, LinkedIn:
www.linkedin.com/company/qylis
Job Summary
We are an engineering organization collaborating directly with clients to address
challenges using the latest technologies. Our focus is on joint code development with
clients' engineers for cloud-based solutions, accelerating organizational progress.
Working with product teams, partners, and open-source communities, we contribute to
open source, striving for platform improvement. This role involves creating impactful
solution patterns and open-source assets. As a team member, you'll collaborate with
engineers from both teams, applying your skills and creativity to solve complex
challenges and contribute to open source, while fostering professional growth.
Responsibilities
• Researching and developing production-grade models (forecasting, anomaly
detection, optimization, clustering, etc.) for global cloud business by using
statistical and machine learning techniques.
• Manage large volumes of data, and create new and improved solutions for data
collection, management, analyses, and data science model development.
• Drive the onboarding of new data and the refinement of existing data sources
through feature engineering and feature selection.
• Apply statistical concepts and cutting-edge machine learning techniques to
analyze cloud demand and optimize data science model code for distributed
computing platforms and task automation.
• Work closely with other data scientists and data engineers to deploy models that
drive cloud infrastructure capacity planning.
• Present analytical findings and business insights to project managers,
stakeholders, and senior leadership and keep abreast of new statistical /
machine learning techniques and implement them as appropriate to improve
predictive performance.
• Oversees the analysis of data and leads the team in identifying trends, patterns,
correlations, and insights to develop new forecasting models and improve
existing models.
• Leads collaboration among team and leverages data to identify pockets of
opportunity to apply state-of-the-art algorithms to improve a solution to a
business problem.
• Consistently leverages knowledge of techniques to optimize analysis using
algorithms.
• Modifies statistical analysis tools for evaluating Machine Learning models.
Solves deep and challenging problems for circumstances such as when model
predictions are not correct, when models do not match the training data or the
design outcomes when the data is not clean when it is unclear which analyses to
run, and when the process is ambiguous.
• Provides coaching to team members on business context, interpretation, and the
implications of findings. Interprets findings and their implications for multiple
businesses, and champions methodological rigour by calling attention to the
limitations of knowledge wherever biases in data, methods, and analysis exist.
• Generates and leverages insights that inform future studies and reframe the
research agenda. Informs both current business decisions by implementing and
adapting supply-chain strategies through complex business intelligence.
Qualifications
• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer
Science or Engineering, Data Science, Operations Research or similar applied
quantitative field
• 7+ years of industry experience in developing production-grade statistical and
machine learning code in a collaborative team environment.
• Prior experience in machine learning using R or Python (scikit / numpy / pandas /
statsmodel).
• Prior experience working on Computer Vision Project is an Add on
• Knowledge on AWS and Azure Cloud.
• Prior experience in time series forecasting.
• Prior experience with typical data management systems and tools such as SQL.
• Knowledge and ability to work within a large-scale computing or big data context,
and hands-on experience with Hadoop, Spark, DataBricks or similar.
• Excellent analytical skills; ability to understand business needs and translate
them into technical solutions, including analysis specifications and models.
• Experience in machine learning using R or Python (scikit / numpy / pandas /
statsmodel) with skill level at or near fluency.
• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid
knowledge of theory and practice.
• Practical and professional experience contributing to and maintaining a large
code base with code versioning systems such as Git.
• Creative thinking skills with emphasis on developing innovative methods to solve
hard problems under ambiguity.
• Good interpersonal and communication (verbal and written) skills, including the
ability to write concise and accurate technical documentation and communicate
technical ideas to non-technical audiences.
Job Overview:
To generate revenue by selling telecommunications services and products to businesses and individuals, including mobile, internet, voice, and data solutions. The role involves building and maintaining strong customer relationships, meeting sales targets, and providing excellent customer service.
Job Description*
* Exceptional communication skills to provide support to customers & team members if and when required.
* Ability to lead a customer through the sales process, determining needs, and closing the sale.
* Strong foundational knowledge in information technology on data and voice solutions from telco service providers.
* Worked on solutions like MPLS, SD-WAN, SIP (Voice), Cloud Telephony, Data Centre, Mobility SIM Card, Cloud solutions (Azure/ AWS).
* Strong Interpersonal skills to liaise with other departments and people within the organization.
* Strong C level connects in the SME & Mid-market segment within the defined geography.
* Ability to lead by example and act with integrity.
* Min experience of 3 years Plus in hardcore IT sales & Telecommunication is mandatory.
Qualifications:
*Education: Bachelor's degree in Business, Marketing, Telecommunications, or a related field.
Experience in telecom sales, B2B/B2C sales, or a related field.
Skills:
* Strong communication, negotiation, and interpersonal skills.
* Ability to build relationships and handle objections.
* Knowledge of telecom products and services (mobile, internet, broadband, ILL, MPLS, PRI, SD Wan, Sip Trunk, etc.).
* Goal-oriented with a proven ability to achieve sales targets.
* Problem-solving skills and a customer-focused approach.
Benefits:
• Career Growth Opportunities: Emphasis on continuous learning, internal promotions, and opportunities for upward mobility within the organization.
• Performance-based Incentives: Bonuses, rewards, or recognition programs tied to meeting or exceeding performance goals.
• Professional Development: Access to training programs, certifications, and workshops to enhance skills and competencies.
A tick against the following skill sets would surely strengthen the candidature
- Strong PHP, JS fundamentals
- PHP frameworks: PHP Laravel
- JS frameworks: Vue.JS
- RDBMS: MySQL, Mongo DB
- UI: HTML5, CSS3, Javascript, Jquery, XML, JSON, Ajax
- REST APIs
- Vue.JS Components (resusable components)
- 1-way / 2-way Binding
- Custom Filters
- Service, Containers
- PUT, POST, PATCH, Getter/Setter Methods
- Repository Patterns
- Laravel Facade
- Blade Templates
- Laravel Events
- Swagger
- LINT
- Unit Testing

- Minimum of 5+ years of experience in IT industry at VMware NSX Design/Implementation Projects.
- Minimum 3+ years of experience in industry leading load balancer and security products (Mandatory)
- Should have solid hands-on experience in VMware Avi, NSX V and/or NSX-T.
- Hands on installation and configuration experience with Base NSX-V & NSX-T Components, VTEP's, Load Balancer, LB Rules, Security components, etc.
- Strong understanding of and experience in TCP/IP, DNS, Http, SSL, DHCP.
- Proficiency in vSphere products and technologies like HA, vMotion, DRS, and Update Manager, Administration, etc would be a plus.
- Exposure to enterprise class architecture or implementation with suite of VMware products including vCenter, vSphere, SAN, RAID, Clustering, Consolidation, Load Balancing, etc.
- Troubleshooting and Debugging of VMware Architecture related issues.
- Strong understanding of Linux/Windows servers.
- Good to have some knowledge in vRA/vRO.
- Good to have Any Automation Experience with PowerShell/Python/Bash/Ansible and basic knowledge of VMware API’s.
- Good to have some knowledge of Kubernetes and Dockers.
- Succeed in a team environment.
Are you looking to boost your knowledge and career in the research field? Then read on.
Our client is a decade-old CSR & Development sector Advisory & Tech firm that works with Corporate, NGOs, Government and Funding agencies on innovative solutions and sustainability programs to help the underprivileged. It works with its partner organisations across 4 South Asian countries and has successfully covered more than 10 million people to create impactful and sustainable services for them. Their web and mobile Project monitoring platform helps companies track their CSR initiatives and projects across geographies in a transparent manner.
What will you do:
- Writing efficient test +plans and test cases that exercise all logic paths
- Utilizing testing tools to enhance the efficiency and effectiveness of the testing environment
- Running various tests on new software products to ensure that programs satisfy all specifications and requirements
- Reporting bugs and errors to development teams and troubleshooting issues
- Executing test cases (manual or automated) and analyzing results
- Conducting post-release/ post-implementation testing
- Recording all defect details, creating and distributing reports outlining the types of defects found and the steps taken to resolve these issues
- Finding out bugs on web applications as well as mobile application and also taking care of the process flow of the same
What you must have :
- Prior experience in quality assurance role
- Working knowledge of SQL
- Experience in test cases design / development, execution and defect reporting
- Excellent analysis and troubleshooting skills
- Familiarity with Agile frameworks, regression testing, load time testing, security testing is a plus











