Product photographer/videographer

Job Title: UI/UX Designer (3D Animation Experience)

Location: Noida (Onsite)

Employment Type: Full-time

Experience Required: 3+ Years

About the Role

We are looking for a creative and detail-oriented UI/UX Designer with strong expertise in 3D animation, motion design, and interactive experiences. The ideal candidate will design intuitive interfaces, craft engaging animations, and collaborate closely with developers and product teams to deliver seamless, visually stunning, and user-friendly experiences.

Key Responsibilities

• Design and deliver engaging user interfaces for web and mobile applications.
• Create 3D assets, motion graphics, and micro-interactions to elevate user experience.
• Translate concepts into wireframes, prototypes, and high-fidelity designs.
• Conduct user research, usability testing, and interaction analysis to refine designs.
• Work closely with developers to ensure accurate implementation of UI/UX designs.
• Maintain and evolve design systems and component libraries.
• Stay updated with the latest design trends, tools, and animation technologies.

Required Skills

• Proven experience as a UI/UX Designer (3+ years) with a strong portfolio.
• Expertise in Figma, Adobe XD, Sketch for design and prototyping.
• Strong graphic design skills using Adobe Photoshop & Illustrator.
• Motion design & animation skills with After Effects, LottieFiles, or similar tools.
• Hands-on experience with 3D design tools such as Blender, Cinema4D, or Maya.
• Solid understanding of user-centered design principles, wireframing, and prototyping.
• Knowledge of responsive design for web and mobile.
• Basic understanding of HTML, CSS, JavaScript to collaborate effectively with developers.

Good to Have

• Experience with Three.js, WebGL, or Unity for interactive 3D UI.
• Familiarity with motion design principles and AR/VR-based design.
• Understanding of version control basics (Git) for design-developer workflows.

The Machine Learning Engineer will play a critical role in supporting Bell Techlogix clients by building, operating, and optimizing AI solutions in a managed services environment. This role focuses on delivering reliable, secure, and scalable AI capabilities across Microsoft AI platforms, Kore.ai conversational AI, and ServiceNow, while also supporting broader AI initiatives and the AI Center of Excellence. 

Key Responsibilities 

•Design, deploy, and support machine learning and AI solutions in production, SLA-driven managed services environments 

•Provide operational support for AI platforms including incident response, troubleshooting, and root cause analysis 

•Monitor AI and ML model performance, data quality, and drift; implement retraining and optimization strategies 

•Build and maintain MLOps pipelines supporting model training, validation, deployment, and rollback 

•Develop and support AI workloads using Microsoft Azure AI, Azure Machine Learning, Azure OpenAI, and Copilot extensibility 

•Design, train, and optimize virtual assistants enterprise workflows 

•Implement and support AI capabilities including Predictive Intelligence, Virtual Agent, and AI Search 

•Collaborate with service desk, engineering, security, and platform teams to drive automation and continuous service improvement 

•Act as a technical escalation point for AI-related client issues and enhancement requests 

•Contribute to AI innovation initiatives, proofs of concept, and reusable solution patterns within Bell Techlogix 

Required Qualifications 

•Bachelor’s degree in Computer Science, Data Science, Machine Learning, or equivalent practical experience 

•5+ years of experience in machine learning engineering, AI development, or applied data science 

•Strong proficiency in Python, SQL, and API-based integrations 

•Hands-on experience supporting machine learning models in production environments 

•Experience working in managed services, consulting, or enterprise IT environments 

•Strong understanding of cloud platforms (Microsoft Azure preferred) 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, or Azure OpenAI 

•Hands-on experience with Kore.ai XO Platform or enterprise conversational AI 

•Experience implementing or supporting ServiceNow AI/ML, Predictive Intelligence, or Virtual Agent 

•Familiarity with MLOps, CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, ARM) 

•Knowledge of Responsible AI, data governance, and enterprise security practices 

•Relevant certifications (Microsoft, ServiceNow, Kore.ai) 

Position: sales Manager (Building material- Tiles, Gypsum, Stone, Pipes, Ceramic etc)

Experience: At least 3 years’ experience in Building Material like Bison Panel, fiber cement board, gypsum board, sandwich panels, boards, Tile adhesive, Putty, Block fix, Marble, Granite, Stone, Pipes, Ceramic etc

Salary: negotiable

Location: Baroda, Ahmadabad, Mumbai

Industry: Building material. manufacturing

JOB SUMMARY

As a Sales Manager, your role will involve traveling to various locations to promote and sell products to targeted

customers and existing clients. This position requires actively engaging with potential clients, maximizing sales

opportunities, and fostering strong customer relationships.

Job Duties :

• Focus on selling products and services to potential customers in a designated region.
• Travel to find new construction sites and meet site engineer, contractors and consultants, architects, dealers, builders and distributors.
• Contact clients and prospects to understand their needs and present products.
• Conduct price negotiations to reach favorable agreements for both parties.
• Stay informed about industry trends, including product prices and demand.
• Set and achieve sales targets to contribute to business growth.
• Generate business leads and maintain statistical data for reporting purposes.
• Daily sales reports to reporting head.

mail updated resume with current salary-

email: jobs [at] glansolutions[dot]com

satish: 88 O2 74 97 43

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Job Title: Store Manager – Footwear Retail

📍 Location:Hyderabad

💼 Employment Type: Full-Time

About the Role

We are looking for a passionate and result-driven Fashion Consultant to lead our footwear retail store. The ideal candidate will be responsible for driving sales, delivering excellent customer service, managing daily store operations, and leading a team to achieve business goals.

Key Responsibilities

• Oversee day-to-day operations of the footwear store.
• Achieve sales targets and ensure profitability.
• Deliver outstanding customer service and resolve queries effectively.
• Manage inventory control, stock replenishment, and shrinkage.
• Ensure attractive visual merchandising and store presentation.
• Train, motivate, and lead the store team to perform at high standards.
• Monitor KPIs and business performance regularly.
• Maintain compliance with company policies and operational standards.

Qualifications & Experience

• Graduate in Business, Retail, or related field (preferred).
• 0-1 years of experience in retail management, preferably in footwear, fashion, or lifestyle stores.
• Strong knowledge of retail operations, merchandising, and sales techniques.
• Excellent leadership, problem-solving, and customer service skills.

Skills Required

✔ Retail sales & business development

✔ Inventory & stock management

✔ Team leadership & training

✔ Customer relationship management

✔ Visual merchandising & store upkeep

We are looking for

A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

Mentor and coach other team members

Evaluate the performance of NLP models and ideate on how they can be improved

Support internal and external NLP-facing APIs

Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

Proven ability to multi-task and deliver results within tight time frames

Must have strong verbal and written communication skills

Strong listening skills and eagerness to learn

Strong attention to detail and the ability to work efficiently in a team as well as individually

Hands-on experience with

NLP

Deep Learning

Machine Learning

Python

Bert

• Ownership of product/feature end-to-end for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the design and implementation.
• Management and execution against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.
• Contribute intellectual property through patents.

• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• A Bachelor's degree in Computer Science or related technical discipline.
• 3+ years of Software Development experience.
• Strong knowledge of Data Structures, Algorithms and CS fundamentals.
• Strong coding and problem solving skills.

• Experience working with service oriented architectures and web-based solutions.
• Experience in eCommerce and deep hands-on technical expertise
• Experience working on the AWS technologies.
• Experience with NoSQL and relational databases.
• Excellent verbal and written communication skills
• Experience working on Agile processes (Scrum, Kanban).

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

• BS/MS degree in Computer Science, Engineering or a related subject
• Proven software development experience and Android skills development
• Proven working experience in Android app development and
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.

Key Job Responsibilities:

• He/She is a responsive team player who can proactively contribute for building technical

strategies for applications and systems by promoting an understanding of the technology and business roadmap.

• He /she is someone who thrives in a fun, fast-paced, dynamic, startup-like environment.
• Work very closely with various business stakeholders to drive the execution of multiple

business plans and technologies.

• Work closely with Product, Design, and Marketing to conceive features, plan projects, and build roadmaps
• Prior experience with scalable Architecture managing team of minimum 5 engineers and

coaching, mentoring while maintaining a role with code development.

• Proven history of contributing to product strategy and shipping products with multi-functional teams.
• Highly involved in recruitment while building team also leading app development for both platforms.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Minimum Qualification:

• Total of 10+ years experience
• Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections,

• Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard,  REST popular frameworks & libraries}, JVM, GC tuning, performance tuning) Express etc

• Experience in Microservices architecture is a must.
• Working on public clouds such as AWS, GCP, Azure etc is preferred
• Worked on Relational data stores viz. MySQL, Oracle, or Postgres.
• Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB, etc
• Worked on caching infra viz. Redis, Memcached, Aerospike, Riak, etc
• Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc