Technical Project Coordinator

Strong Senior Solutions Engineer Profile

Mandatory (Experience 1) – Must have 1+ years of relevant experience in pre-sales solution engineering in a Supply Chain / Sourcing / Operations domain environment

Mandatory (Experience 2) – Must have hands-on experience conducting technical discovery sessions, client demos, and proof-of-concepts (POCs) with enterprise or mid-market clients

Mandatory (Experience 3) – Must have experience in solutioning, configuring, and implementing techical demos of SaaS products

Mandatory (Company) - B2B SaaS in Logistic Tech, Supply Chain Tech, Operations Tech, Retail Tech, ERP etc

Mandatory (Education): MBA + BE/B.Tech background required.

∙Primary Skills: Life Insurance and Annuity domain knowledge 

∙Secondary Skills: Functional testing knowledge, Functional test design. Insurance domain 

knowledge 

∙Analyze life insurance processes and translate them into functional specifications. Act as a 

liaison between business users and technical teams to ensure alignment. Conduct gap analysis, 

impact assessments, and support solution design. Participate in system testing, UAT support, and 

user training. 

∙Policy Administration: Develop and implement policies to ensure efficient and effective 

management of life insurance and annuity products. 

∙Claims Handling: Collaborate with clients to resolve claims in a timely and fair manner. 

∙Agent Compensation: Work with agents to establish compensation structures that incentivize 

sales and customer satisfaction. 

∙Consulting Engagements: Partner with clients on various consulting projects, providing expertise 

and guidance on life insurance administration. 

∙Application Enhancement Requirements: Define and prioritize requirements for application 

enhancements to improve the overall user experience. 

∙Automation: Explore opportunities for automation to streamline processes and increase 

efficiency. 

∙Training and Mentoring: Provide training and support to less experienced team members to 

ensure knowledge sharing and skill development. 

∙Automation frameworks and reporting tools.  

∙Writing, executing, monitoring and maintenance of automated test suites. 

∙CI/CD tools knowledge and Agile process 

∙Database- MySQL, Oracle 

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.

 Job Description :

 We are looking for a Technical Content Writer to join our team and enrich our websites with new blog posts, guides and marketing copy.

 Responsibilities and Duties:

​

Write, edit and publish content for websites, blogs, videos, social media posts/campaigns, email campaigns, podcasts, e-books, whitepapers, and more.

Create content that motivates, inspires, educates, informs, sells, and simply, provides information, across a wide variety of digital platforms

Work closely with the digital marketing team to produce content that generates results

Use your editing & content management to publish and edit content across various digital platforms.

Use your knowledge of SEO and content development to create digital content that helps us get found via search engines, and showcases our company as a leader within the industry.

Become an influencer who makes an impact on the company and within the industry through the production of digital content.

Audit existing content and suggest/implement changes to improve content reception.

 Required Experience, Skills and Qualifications:

UG degree in English or relevant qualification.

Technical writing experience preferred. Some exposure to technology and programming

Ability to generate fresh ideas and content for our readership/viewership to consume.

Portfolio of published articles.

Excellent writing, editing, proofreading and communication skills in English.

Ability to meet deadlines with quality.

 Educational Qualifications :

 UG degree in English or relevant qualification.

Job Description:

We are looking for a highly capable Node.js developerto optimize our web-based application performance. Collaborating with our front-end application developers, designing back-end components, and integrating data storage and protection solutions.

Full Stack Responsibilities:  Developing and maintaining allserver-side network components.  Ensuring optimal performance of the central database and responsivenessto front-end requests.  Collaborating with front-end developers on the integration of elements.  Designing customer-facing UI and back-end servicesfor various business processes.  Developing high-performance applications by writing testable,reusable, and efficient code.  Implementing effective security protocols, data protection measures, and storage solutions.  Running diagnostic tests,repairing defects, and providing technicalsupport.  Documenting Node.js processes, including database schemas, as well as preparing reports.  Recommending and implementing improvementsto processes and technologies.  Keeping informed of advancementsin the field of Node.js development.

Requirements:  Bachelor's degree in computerscience, information science, orsimilar.  At least two years of experience as aNode.js developer.  Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.  Knowledge of front-end technologiessuch as HTML5 and CSS3, Angular, Reactjs.  Superb interpersonal, communication, and collaboration skills.  Exceptional analytical and problem-solving aptitude.  Availability to resolve urgent web application issues outside of business hours

Experience: 2 to 5 years

Annual CTC: Rupees 6,00,000 to 10,00,000

• Demonstrated experience as a software engineer, with at least 3-5 years’ experience in technology roles
• Experience working on complex systems and cloud architectures, preferably in a B2B or enterprise context
• Experience with the Java programming language and frameworks such as Spring & SpringBoot
• Experience with front-end Javascript frameworks such as ReactJS
• Experience working in databases and SQL queries for high-performance 
• Experience and keen understanding of the value of working in agile teams
• A “quality-first” mindset, with experience working in continuous integration environments
• Highly effective at communicating
• Respect for other team members and a highly collaborative approach to working and learning together

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures / architectures
• Proficiency in at least one major machine learning framework
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Good understanding and applied experience in classic 2D image processing and segmentation
• Robust semantic object detection under different lighting conditions
• Segmentation of non-rigid contours in challenging/low contrast scenarios
• Sub-pixel accurate refinement of contours and features
• Experience in image quality assessment
• Experience with in depth failure analysis of algorithms
• Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Mentor and support other technical team members in the organization
• Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
• Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

• You’re part of an agile, multidisciplinary team.
• You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
• You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
• You experiment, test, try, fail, and learn continuously.
• You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

• Strong knowledge of and experience with the functional programming paradigm.
• Experience conducting code reviews, providing feedback to other engineers.
• Great communication skills and a proven ability to work as part of a tight-knit team.

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