11+ Unified communications Jobs in Mumbai | Unified communications Job openings in Mumbai
Apply to 11+ Unified communications Jobs in Mumbai on CutShort.io. Explore the latest Unified communications Job opportunities across top companies like Google, Amazon & Adobe.
- This role includes both product and Project management.Involve in Data collection,Data filtering,refining, and sizing huge incidents data.
- Preferred Domain- Telecom
- Good to have Voice, Unified Communication, Contact center, Messaging experience, Application to Person (i.e. integration with WhatsApp,etc.)
- Work closely with the Engineering Team,Customer Business Team, different cross-functional Team to realize a road map of RPA implementation, Starting from requirement gathering, Ideation to Solution design and implementation
- create PDD (Process Design Document) and review SDD (Solution design document),POC development, Solutioning/Sizing/Business Case/Pricing activities
- Work closely with Marketing Team for proposal preparation,Business case development
Review Criteria
- Strong Senior Data Scientist (AI/ML/GenAI) Profile
- 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
- Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
- Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows
Preferred
- Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
- Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Job Specific Criteria
- CV Attachment is mandatory
- Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
- Are you okay with 3 Days WFO?
- Virtual Interview requires video to be on, are you okay with it?
Role & Responsibilities
Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
Responsibilities:
- Own the full ML lifecycle: model design, training, evaluation, deployment
- Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
- Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
- Build agentic workflows for reasoning, planning, and decision-making
- Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
- Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
- Collaborate with product and engineering teams to integrate AI models into business applications
- Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices
Ideal Candidate
- 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
- Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
- Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
- Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
- Strong software engineering background with experience in testing, version control, and APIs
- Proven ability to balance innovation with scalable deployment
- B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
- Bonus: Open-source contributions, GenAI research, or applied systems at scale
Strong sales executive profile
Mandatory (Experience 1): Must have 7+ years of hands-on B2B sales experience, preferably selling SaaS products or platforms
Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure
Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.
Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders
Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.
Mandatory (Company): B2B SaaS Product companies
Must have Strong SQL skills (queries, optimization, procedures, triggers)
Must have Advanced Excel skills
Should have 3+ years of relevant experience
Should have Reporting + dashboard creation experience
Should have Database development & maintenance experience
Must have Strong communication for client interactions
Should have Ability to work independently
Willingness to work from client locations
Qualifications:
· Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
· Experience: Minimum of 5 years of experience in iOS development with a strong portfolio of released applications that can be shared for review.
· Technical Skills:
o Proficiency in Swift and Objective-C.
o Solid understanding of object-oriented programming
o Knowledge of memory management and multi-threading
o Experience with embedded databases and other system data stores
o Strong understanding of iOS frameworks such as UIKit, Core Data, Core Animation, and Core Graphics.
o Good knowledge of performance limits and characteristics
o Good sense of UI design execution principles
o Experience with RESTful APIs, JSON, and third-party libraries to connect to backend services.
o Knowledge of mobile app architecture patterns such as MVC, MVVM, and VIPER.
o Experience with version control systems, preferably Git.
o Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.
o Implementation of automated testing platforms and unit tests, benchmarking and optimization
o Understanding of Apple’s design principles and interface guidelines.

Graduate Engineer Trainee (GET) – R&D (Paints)
📍 Location: Head Office, Navi Mumbai
💼 For Freshers with Chemistry, Chemical Engg., or Paint Tech background
👩🔬 What You’ll Do:
- Work on cutting-edge R&D in paints and coatings
- Apply IS/EN/ASTM standards in testing and applications
- Operate lab instruments for accurate product testing
- Develop & maintain SOPs and documentation
- Uphold lab safety and quality management protocols
🎓 Who Can Apply:
- M.Sc. Chemistry | B.E./B.Tech in Chemical, Paint, or Polymer Technology
- Strong academic foundation & passion for innovation
- Great analytical, problem-solving, and communication skills
- Team player with attention to detail
Key Responsibilities:
- Deliver compelling product demonstrations that showcase value, efficiency, and return on investment.
- Identify and convert leads into customers, and nurture long-term relationships.
- Build a strong sales pipeline in your designated city, with an entrepreneurial mindset.
- Represent On2Cook at trade shows, exhibitions, and industry events.
- Maintain timely reporting, proactive follow-ups, and consistent deal closures.
Desired Skills and Experience
- 1–3 years of experience in sales (experience in hospitality, food tech, or kitchen equipment is a plus).
- Strong communication skills with a flair for storytelling and customer engagement.
- Passion for food technology and the ability to relate well with chefs and culinary professionals.
Greeting from MNR
Urgent opening - Manager - Direct Tax
Skills - Direct Tax, TDS, GST, Income Tax Return
Location - Mumbai
Roles and Responsibilities
• Handling of finalization of income tax-returns.
• Filing of income tax forms (quarterly/ half yearly/ annual)
• Data preparation & completion of Tax Audit, Transfer Pricing Audit.
• Handling tax assessments and litigation before appellate authorities
• Advisory and planning over tax structures and evaluating the taxability for the structures
• Preparation and submission of data for Assessment.
• Proactively identify the process automation and improvement opportunities.
• Knowledge of certification work in respect of filing of forms 15CB, form 15CA, form 3CD, form 3CEB
Experience: 4+ years
Qualification –CA
Key Skills Required:
• Good Communication Skills
• Good Analytics Skills
• MS Office
| Experience with JIRA and Confluence, Scrum, Kanban boards |
| Confluence - Responsible for managing all Confluence spaces, including permissions, development of space templates, macros, data import/export, maintenance of current spaces, and creation of new spaces based on customer specifications. |
| Support - In charge of providing end-user support for the whole Atlassian stack. |
| Manage user accounts and troubleshoot tool, environment, and network support issues. |
| Work contact the tool's manufacturer on support issues. Some after-hours and weekend support is necessary. |
| Documentation - Tools, Environments, Installation, and Configuration in addition to supporting team operations. |
| Training – Educate and provide training for technical and non-technical teams. |
| Experience with the installation and configuration of the latest version of JIRA and Confluence |
| Experience with the migration of content during equivalent upgrades |
| Experience with setting up custom fields, Issue types, workflows, and priorities. |
| Define, compile and report metrics |
| Familiarity with custom plug-ins. |
| Adhere to defined processes and procedures |
| Well-versed with Agile and SAFe |
| Perform ad-hoc requests as requested |
| Analytical thinker that is expert at problem-solving, conflict resolution, negotiation and decision making |
| Uses problem-solving, critical thinking skills and independent thinking to overcome challenges |
| Other duties as needed. |
1. Identify the opportunity for omni channel optical retail
2. Planning the strategy for product, prioritization and roadmap (launch and growth)
3. Creating wireframes, PRD with prioritized features and justifications
4. Market research to understand right targeting, positioning, right product, and customer segments
5. Run beta and pilot programs with early-stage products and samples
6. Be an expert with respect to the competition
7. Data analytics
8. Translating business to technical requirements and vice versa
9. Work with external third parties to assess partnerships and other opportunities
10. Develop the core positioning and messaging for the product
11. Propose an overall budget to ensure success
12. Defining and tracking success metrics
13. Efficient cross functional communication and collaboration
14. Execution of the entire project while interfacing with sales, marketing, customer service, logistics and technology teams
Skills
1. Understanding of customer behaviour in a digital distribution setting
2. Technical background/knowledge to be able to work with tech teams
3. Analytical skills to optimise the product and channels
4. Ability to execute multiple projects in parallel and do prioritisation
5. Engineering degree is good to have
6. Ownership and Hunger
7. Leadership and teamwork skills
8. Excellent verbal and written communication skills
Persona
1. Tier 1 Engineering college or Tier 1 MBA college
2. 10+ Years of experience with atleast 2-3 years as a product manager in e-commerce or e-pharmacy or opticals
3. Experience of building product from scratch
4. Demonstrated success defining and launching excellent products/digital products/digital services
5. Execution experience in ground-up scaling while collaborating with cross-functional teams
6. Hyper-growth startup experience of at least 2 years




