Inside Sales Lead

This role is at Glance

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems.

You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Classical ML & Recommendation Systems

• Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
• Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
• Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.

Agentic Systems & Next-Gen AI

• Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.

Cross-functional impact

• Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance’s consumer experiences.
• Contribute to Glance’s ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
• Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
• Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.

The experience we need

We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.

You should have experience with:

• Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
• Classical ML and deep learning techniques across NLP, sequence modeling, RL, clustering, and time series.
• Experience in deploying ML workflows/models in production system
• Big data processing (Spark, distributed data systems) and cloud computing.
• Designing end-to-end ML solutions—from prototype to production.
• Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).

We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.

Qualifications

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
• 4+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
• Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
• Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
• Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
• Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Comfortable working in cross-functional teams.
• Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
• Excellent communication skills with the ability to simplify complex technical concepts.

3 to 7 years of Overall testing experience.

 Test Automation Experience with the tool Selenium or Katalon.

 Should have experience in Test Automation Framework like TestNG and Cucumber

Framework.

 Able to manage test activities in medium to large projects.

 Demonstrates appropriate interpersonal skills required to establish effective working

relationships with clients and/or business partners.

 Should be familiar with the Software Testing tools, techniques and market trends.

 Should review user and functional requirements and provide feedback; they will

Informally test early versions of functionality and develop increasingly complete test

scripts and traceability.

 Participate in test execution and monitor the progress of execution.

 Proactively engage with all team members including developers, business users and

business analysts.

 Writes, reviews and executes formal test scripts including setup and data

requirements, procedures and expected results

 Able to provide direct input to project estimates and documentation (Project Plan

document, URS, FRS, Design docs)

 Reviews project requirements, plans and prototypes and providing input.

 Agile/ Scrum experience.

 Katalon Tool knowledge is preferable.

 Clinical domain knowledge is preferable.

• Job Title:- Project Engineer/Project Manager
• of days:- 5 days working hours.
• Timing:- 10 a.m to 6 p.m
• Notice Period:- 1 month
• Qualification:- B.E. ELECTRICAL (MOST PREFERABLE) OR B.E. MECHANICAL
• Experience:- MIN 2YEARS OF EXPERIENCE IN GROUND MOUNTED AND ROOFTOP OR MIN 5mw OF EXPERIENCE.

Job Description:-

• Having experience of solar project execution
• Site visit, material forecasting
• BOM preparation
• Solar plant drawing preparation
• Experience on AutoCAD for various drawing i.e. Plant layout, electrical SLD, earthing design, structure design planning.
• Project costing forecast, costing Estimation and cost evaluation of project as per market.
• Vendor management.
• Vendors follow-up.
• Vendors payment update and working follow-up.
• Readiness to visit any site and experienced enough to prepare the project planning.
• Responsible for on-site project issue.

Job Details*

1. Help the process of creating plans/strategies based on an organization's goals and the needs of the desired audience.

2. You will be assisting in the creation of consistent high-quality content that generates demand, attracts high-quality sign-ups and backlinks.

3. You will help our team perform audit of our website and social media accounts, creating and updating a shared editorial calendar. Also, researching for blog ideas and generating content for our blog.

4. Use storytelling and emotion to bring content to life and compel the reader to share. Own and execute the content and social calendar; work with our marketing, design and other cross functional teams to deliver on time.

5. Optimize content for different formats (SEO, SEM, Social, blogs, infographics, etc.) for better consumption and readership.

6. Conduct keyword research, backlink research and use SEO guidelines to increase web traffic.

7. Monitor web traffic and engagement (e.g. conversions and bounce rates) and measure content impact and report the metrics on an ongoing basis.

We would also expect the candidate to demonstrate:

1. An immense degree of critical thinking. Your content will be read by domain experts and you will not be able to write content with abstract opinions and assertions. You would need to back every opinion with either data or relevant experience.

2. The right kind of tone and energy. We like to use an informal/fun tone in our content. You would need to come in with the right attitude and the right energy to be able to match our tone/writing standards.

3. An attitude for perfection. You might have to go through several iteration cycles and would need to demonstrate wilingness to accept feedback. We need someone who accepts feedback with positivity.

Job Summary*

We're a Saas startup and we have an urgent requirement for a Content Strategist to help us with our domestic and overseas marketing processes.

Main Responsibilities:

• Should be accountable for the deliverables of assigned MS Dynamics CRM functionality
• Should be able to work with Business groups, Architects to understand the functional expectations, produce technical solutions and documentation
• Should be able to conceptualize and design solution, independently customize, develop/code using MS Dynamics 365 and technologies such as C#, .Net, Integration technologies including SQL Server & Kingsway Soft
• Should be able to own technical impediments, liaise with various groups and troubleshoot /resolve
• Participate in the Scrum process activities including Sprint Planning and Estimating sessions, Daily Stand-ups, Sprint Demos and Sprint retrospectives.

Basic Qualifications:

• 4+ years’ strong experience in MS dynamics 365 implementations & support and extensive experience with C#, .NET, JavaScript, Power apps
• Strong experience in Web API development and plug in’s
• Strong experience in integration technologies including SQL Server & KingswaySoft to connect internal & third-party systems
• Experience with Power BI, SQL Server Integration Services, ASP.net, client-side JavaScript frameworks, Xamarin.

Preferred Qualifications:

• Strong experience using Microsoft Azure Dev Ops, MS Visual Studio and MS SQL server

• 3-5 Years of experience in Backend Development.
• Must have experience in Python (FLASK framework).
• Have Deep understanding of how RESTful APIs work.
• Familiar with various design and architectural patterns that can work at scale.
• Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
• Strong experience with at-Cloud technology, preferably AWS or GCP or Azure.
• Core experience in developing complex backend systems.
• Communicating complex technical concepts to both technical and non-technical audiences.
• Passionate about application scalability, availability, reliability, and security.