11+ Unified communications Jobs in Mumbai | Unified communications Job openings in Mumbai

• 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

Mandatory (Experience 1): Must have a minimum 4+ YOE in B2B SaaS / Enterprise Tech sales, preferably in ERP, CAD, or Factory Automation tools.

Mandatory (Experience 2): At least 3+ YOE selling ERP solutions or CAD Softwares.

Mandatory (Experience 3): Proven track record in offline / field sales and experience in selling complex solutions.

Mandatory (Tools): Proficient in CRM systems (HubSpot, Zoho, Salesforce, etc.) and lead generation tools (LinkedIn Sales Navigator, Apollo, ZoomInfo, etc.)

Mandatory (Company): Experience in B2B SaaS Product companies or IT/Tech Services companies.

Mandatory (Note 1) - Total experience should not be more than 7 Years.

Mandatory (Note 2) - Overall Expected CTC should not be more than 15L

About the Role

We are looking for a skilled PAM Consultant with strong expertise in implementing, managing, and optimizing Privileged Access Management solutions. The role involves working with enterprise-level security technologies such as BeyondTrust, Identity & Access Management (IAM), and Single Sign-On (SSO). The ideal candidate should have hands-on experience in deploying and supporting PAM platforms, integrating them with enterprise infrastructure, and ensuring compliance with security policies.

Key Responsibilities

• Design, implement, and maintain Privileged Access Management (PAM) solutions, primarily using BeyondTrust (Bomgar).
• Configure and administer PAM tools to manage privileged credentials, remote access, and secure connectivity.
• Work on privileged remote access management, privileged remote support, and access governance.
• Migrate and decommission insecure remote access tools (e.g., TeamViewer, Bitvise) and enforce secure alternatives.
• Collaborate with network and infrastructure teams to remove unnecessary firewall rules and strengthen access controls.
• Support IAM & SSO initiatives including RSA, CA SiteMinder, and LDAP directory services.
• Provide troubleshooting and support for PAM and IAM environments, including RSA token authentication and 2FA integrations.
• Document technical configurations, policies, and standard operating procedures.
• Ensure compliance with enterprise security policies, audits, and regulatory requirements.

Required Skills & Qualifications

• 5+ years of experience in Identity & Access Management (IAM) and PAM domains.
• Strong hands-on experience with BeyondTrust Privileged Access Management (Bomgar).
• Knowledge of Single Sign-On (SSO), RSA Authentication, and directory services (LDAP, Oracle Directory, Sun One Directory).
• Experience with CA SiteMinder and web application access management.
• Strong troubleshooting and analytical skills for resolving PAM and IAM issues.

Ability to collaborate with cross-functional teams (security, infrastructure, applications

Location: Mumbai

Experience Required: 2+ Years

Job Type: Full-Time

Notice Period: Immediate Joiners

About the Role

We are seeking a skilled and experienced Front-End Developer to join our product engineering team. The ideal candidate must have experience working in a product-based software development company and should have hands-on involvement in e-commerce platform projects.

Mandatory Criteria

• Candidate must be currently working or have prior experience in a product-based software development company
• Candidate must have worked on at least one e-commerce platform project (end-to-end involvement)

Key Responsibilities

• Develop and maintain responsive, high-performance web interfaces using React.js
• Translate UI/UX designs into pixel-perfect, reusable front-end components
• Optimize components for maximum performance and cross-browser compatibility
• Integrate front-end components with backend RESTful APIs
• Collaborate with design, backend, and QA teams to deliver seamless user experiences
• Participate in code reviews, testing, and agile development ceremonies

Required Skills

• Strong proficiency in JavaScript (ES6+), React.js, HTML5, and CSS3
• Experience with state management libraries such as Redux or Zustand
• Solid understanding of responsive design and cross-browser compatibility
• Familiarity with RESTful APIs and API integration
• Knowledge of version control systems like Git
• Understanding of performance optimization, debugging, and front-end testing practices

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

• Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails
• Understand customer needs and requirements
• Proven inside sales experience
• Strong phone presence and experience dialing dozens of calls per day
• Proficient with corporate productivity and web presentation tools
• Excellent verbal and written communications skills
• Strong listening and presentation skills
• Ability to multi-task, prioritize, and manage time effectively

• -Will be part of ABAP Team and will play integral role in implementation /support and other projects
• -will be interacting with the client and the key users, involved in scoping studies, suggest solution through SAP , Train the key users, and configure SAP ABAPmodule
• Should have at least one support type of project and At least two full implementation experience
• Should have experience with skills on Adobe forms, module pool programming, interface development, workflow, Webdynpro
• Will also be part of solution building team
• Should have 3+ yrs of SAP experience in ABAP Consulting

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology