Sales Manager

We are looking for an experienced Telecom OSS/BSS Architect with strong expertise in designing and implementing end-to-end telecom solutions.

Key Skills:

• Telecom OSS & BSS Architecture

• CRM, Product Catalog, Order Management

• Billing, Charging & Revenue Assurance

• Service Provisioning, Network Inventory & Service Assurance

• Fault & Performance Management

• Telecom Digital Transformation

• TM Forum (eTOM, SID, Open APIs, ODA)

• API Integrations, ESB & Microservices

• Cloud-Native Architecture

• System Integration & Modernization

Responsibilities:

• Design and implement scalable OSS/BSS solutions.

• Translate business requirements into technical solutions.

• Drive telecom transformation and modernization initiatives.

• Integrate OSS/BSS platforms with enterprise systems.

• Collaborate with business, IT, network operations, and vendor teams.

• Support automation, operational efficiency, and customer experience improvements.

Looking For:

• 5–8 years of relevant Telecom OSS/BSS experience
• Strong understanding of Telecom domain architecture
• Experience in large-scale telecom transformation projects
• Excellent stakeholder management and communication skills

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.

Requirements:

• 10+ years of software development experience in java.
• Knowledge of multiple front-end languages and libraries (e. g. HTML/ CSS, JavaScript/Typescript, XML, jQuery)
• Familiarity with RESTful APIs.
• Experience with Micro Services based architecture
• Experience with Angular 5 Angular 8 and/or experience with React JS
• Strong debugging/troubleshooting skills.
• Good understanding of SDLC, Agile methodologies
• Proven experience as a Full Stack Developer.
• Experience developing desktop and mobile applications
• Familiarity with common stacks Knowledge of multiple back-end languages (e. g. C#, Java, Python) and JavaScript frameworks (e. g. Angular, React, Node.js )Familiarity with Docker and Kubernetes
• Familiarity with databases (e. g. MySQL, PostgreSQL), web servers (e. g. Tomcat, Apache).
• Excellent communication and ability to lead a 5-10 member team

Responsibilities:

• Responsible for the entire development process for the Internal IP (e.g. Quality Fusion)
• Work with development teams and product managers to ideate software solutions
• Analyzing user requirements, envisioning system features and functionality.
• Design, build, and maintain efficient, reusable, and reliable codes by setting expectations and features priorities throughout the development life cycle.
• Working with Senior leadership and stakeholders to present ideas and solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIsTest software to ensure responsiveness and efficiency in troubleshooting, debug and upgrade software
• Create security and data protection settings.

3-5 years experience in the website domain (preferably) | Worked on at least 1 e-commerce website

• Oversee responsibilities and timely execution of Web Executive
• Collaborate with SEO Team to implement strategies
• Liaise with Design and Development teams for tasks and projects
• Be proactive in pitching improvements to the websites
• Plan, implement, manage, monitor, and upgrade the client's website
• Respond to and troubleshoot all website issues
• Identify and respond to all website security breaches
• Ensure that the website is protected by enabling the appropriate security measures
• Conduct content audits to eliminate redundant and/or duplicate information
• Plan communication aligned with the brand’s strategy
• Ensure website quality and efficiency by conducting regular test plans
• Plan to improve the User Experience of the website regularly
• Collaborate with teams and management to ensure that the website aligns with brand strategy
• Prepare and present strategies to grow website metrics that are important to the brand
• Keep up-to-date with industry best practices and monitor competitor websites
• Plan, strategise and track promotional campaigns
• Analyse, Strategise, plan and prepare monthly website performance and present to internal and external stakeholders
• Maintain tracker of all updates on the website
• Ensure Client satisfaction & smooth communication

• All mails must be responded to within 24 hours on working days and any conversation about on-going/upcoming projects over whatsapp/call must be documented on mail

• At least 2 blog/video case studies highlighting business impact through website strategies implemented (Maximum 1 per brand)
• Atleast 4 instagram and linkedin carousel features for Schbang page highlighting small wins through strategy implemented (Maximum 2 per brand)
• Participate in at least 2 external website awards

• Strong attention to design detail
• Understanding user behaviour and building user journey
• Analytical mind and problem-solving attitude.
• Fantastic time management skills
• Ability to manage and work with teams
• Good clear communication
• At least 2 years of experience using any 2 CMSes
• Experience using at least 1 ecommerce platform (eg: Shopify, Magento)
• Google Analytics Power User
• Understand and read API Documentations
• Ability to adapt to new tools and softwares
• Resolve team conflict
• Good understanding of SEO
• Ability to troubleshoot website issues in a fast-paced environment
• Presentation skills
• Preparing Pitch decks

• Google Analytics
• Hotjar
• Microsoft Clarity
• CMS: Shopify, Wordpress, Magento, Drupal, Sitecore
• Shopify Analytics
• Google Search Console
• Google Tag Manager
• Google Docs, Slides, Sheets | Excel, Word, Powerpoint
• Photoshop & Illustrator basic
• Figma basic

• Collaborate with headhunters to hire and retain the top best talent.

• Screen resumes and job application forms.

• Help to structure the job description.

• Assist Hiring Managers to conduct interviews.

• Interview job candidates via calls and conduct on-site interviews.

• Ability to manages new employee relocation that determines new employee requirements and arranges temporary housing.

• Coordinate with the management and corporate recruiters to find out the details of staffing requirements.

JD of the Scrum Master.

Along with Scrum Master we need couple of BI developers skilled in Power BI with 3-4 Years of relevant experience in BI and 1+ years of experience in Power BI.

• Responsible for handling the scrum process in a POD structure with coordination of POD team and product owner in Agile methodology
• Supporting the Product Owners to groom and maintain the product backlog in good shape and make them ready for the next sprint
• Facilitating discussion, administrating, and conflict resolution to get the work done including monitoring, tracking and communication to relevant stakeholders.
• Follow the scrum rituals such as sprint planning, daily scrum, stand-up meetings, facilitate & scheduled meetings, demo, decision-making process etc.

  Competencies

• Overall 2-4 years of IT project management and delivery experience with 2+ years of Scrum Master experience in data analytics projects
• Ability to take and understand the commitment to deliver the product on time
• Applicable knowledge of the technologies used by the team, for example in Data Analytics/Data Science area
• Planning and problem solving with product management and delivery teams
• Certified Scrum Professional