Digital Marketing Executive

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 Role: Placement Co-Ordinator

Roles & Responsibilities:

• Proactively identify, contact, and build relationships with HRs, hiring managers, and recruiters across IT and digital industries.
• Search and monitor job sites, industry platforms, and portals for relevant openings
• Share relevant job openings with eligible candidates and ensure timely application submissions.
• Coordinate and execute successful placement drives to connect students
• Reach out to recruiters and hiring managers to understand their workforce requirements
• Maintain and update placement data for transparency and accountability.

Key Skills Required:

• Must have strong english communication skills
• Extroverted and outgoing personality.
• Any experience is fine.
• Strong ability to identify and build relationships
• Excellent communication, research, and networking skills.
• Effective organizational and reporting abilities
• Ability to work as part of a team.

Candidates from Western line will be preferred.

Job Types: Full-time, Permanent

Pay: ₹18,000.00 - ₹30,000.00 per month

Office Timing: 9.00 am - 6 pm | Mon - Sat | 6 Days Working

Key Responsibilities:

• Design, implement, and maintain server-side applications, APIs, and databases.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Develop RESTful APIs, GraphQL, or other web services that integrate with databases and external services.
• Write clean, efficient, and reusable code while following best practices for backend development.
• Optimize applications for speed and scalability.
• Ensure the security of applications, databases, and data handling practices.
• Troubleshoot and debug issues in production and development environments.
• Write unit and integration tests to ensure the reliability and stability of the backend code.
• Work with databases (SQL or NoSQL) and optimize database queries for performance.
• Implement caching mechanisms to improve application performance.
• 
  

• A​ ​hands-on full-stack engineer​​ to join the ​​core team​​ with experience in building products from scratch into large-scale platforms and ​solving business problems leveraging new and innovative technology
• Leverage the DevOps team to ensure the product can be built, deployed, and tested across all of the release cycles from dev to production 
• Strong grasp of modern security principles and how to apply them to applications
• Work with stakeholders (product owners, project managers, and scrum masters) to define and clarify requirements.
• Hands-on development with both front-end, middle-tier, and back-end programming
• Adhere to agile development methodologies
• Experience in Node.js, Javascript and Javascript libraries, NOSQL databases, Python etc

Greetings From Softobiz Technologies!!

Softobiz Technologies is a leading organization among the IT organizations supplying its products along with the services in the form of Product development and Web-Application development.

We are looking for people who have experience in Python and react.js.

Location - Hyderabad

Years – 3+ Years

Primary Purpose:

The Senior Software Engineer role is responsible for ensuring continuous innovation and developing high-quality software aligned with user needs and business goals.  This role will work as an integral part of creative and motivated teams to ensure high-quality benchmarks are met for deliveries of innovative products for local and international markets. Working closely with other stakeholders requires the ability to design, develop, and implement creative solutions with Modern architecture and design patterns. . Thinking outside the box with the capability to learn upcoming technologies in the integration space, the role requires contributing proactively to business-aligned digital initiatives. A detailed understanding of modern SDLC frameworks is required, as is the ability to work in an Agile environment.

Job Responsibilities:

• Lead projects in your respective squad, guide and mentor the team as required. 
• Provide thought leadership in the architecture and design of Digital products. 
• Provide technical leadership, mentoring, and coaching of developers. 
• Contribute to the implementation and delivery of Digital products. 
• Promote and experiment with new technologies that will help improve the quality and delivery of Digital Products. 
• Perform software engineering tasks to ensure the highest levels of product quality are met. 
• Analyze system and production defects, including troubleshooting and root cause analysis. 
• Learn from industry specialists and apply best practices to match our customer needs further. 
• Keep up to date with technical trends, tools, and methodologies, and research as required.

Experience and Skills: 

• 3+ years of relevant experience; 
• Solid experience working in complex and innovative R&D development environments; 
• Experience working in Agile process and result-oriented culture; 
• Solid experience with multiple programming languages, including Python, JavaScript, Typescript, ReactJs/AngularJs/Vue.Js. 
• Demonstrable robust Architecture, design, development, and collaboration skills gained in developing software product solutions; 
• Hands-on experience with developing and implementing integrations; 
• Experience with developing enterprise grade complex software applications.

Technical Skills 

• Python frameworks Django/Flask/Fast API
• Solid OOP skill in PHP, with S.O.L.I.D principle in mind. 
• Experience in react.js
• Experience with test driven development. 
• Comfortable with GIT version control systems; 
• Normalized SQL database design, strong experience in MySQL 
• Knowledge of building and consuming REST API 
• Good to have experience with AWS Stack (Lambda, SQS, SNS, API Gateway, etc.)

Bonus Technical Skills: 

• Some knowledge or experience in Kubernetes is a bonus
• Experience with Microservices architecture 

About Softobiz 

Innovation begins with like-minded people aiming to transform the world together.

We invite you to join an organization that has been helping clients transform their businesses by fusing insights, creativity, and technology. At Softobiz, we embrace a diverse mix of talented people who come here to stay and do their best work.

At Softobiz, we transform passionate individuals into proficient professionals dedicated to exploring new frontiers in Software development. Here you will get the opportunity to work with technical craftsmen that are pioneers in the latest technologies.

We promote a culture of equality, learning, collaboration, and creative freedom so that our employees grow.

For more information about our solutions and organization, visit www.softobiz.com, 

Follow us on LinkedIn, Twitter, and Facebook for more updates.

Key Responsibilities:

· Develop and execute sales and marketing strategies to drive revenue growth and increase market share..

· Build and maintain relationships with clients to ensure customer satisfaction and loyalty.

· Collaborate with internal teams to ensure the seamless delivery of services to clients.

Requirements:

· Fresher/experienced both Welcomed

· Strong communication and interpersonal skills (English-Hindi).

· Ability to work independently and as part of a team.

· Ability to prioritize tasks and manage time effectively.

· Strong problem-solving skills and attention to detail.

Backend Developer

Role : Backend Developer

Department : Technology Team

Experience : 2 - 3 Years of working experience in Backend

Experience in a related position from Gaming Industry would be preferred 

Location : South Delhi; 5 Day Working

Qualification : Bachelor’s degree in Technology

Major Skills : Java, NodeJs, Microservices, Data Structures, etc

Ideal Candidate Requirements :

• Experience in development of Java and NodeJs based applications.
• Experience in building microservices from scratch to production level.
• Strong experience in Core Java and MultiThreading
• Good Knowledge of Data Structures
• Worked on Oracle, REDIS and DYNOMITE
• Good Knowledge of Telecom Protocol SIP

Ideal Candidate Skills Requirements :-

• Distributed systems - Microservices - Algorithm design, System Design
• Performance Engineering, Scalability and Architecture
• Gaming Models, Matching and Allocation Algorithms
• Spring Boot, Hibernate, Java reactive, JPA 
• Relational Databases - MSSQL,
• Design Patterns : MVC, Singleton, Adapter, Factory, Builder, Strategy
• Messaging Queues - Apache Kafka
• Cache - Redis
• Search - Elastic Search
• Java
• NoSQL - Mongo, Cassandra 
• Jenkins, GIT, BitBucket, JIRA