Machine Learning (ML)
Data ScienceWork Location - Bangalore
The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
- Build and enhance the software stack for modelling and data analytics
- Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
- Automate repetitive data modelling and analytics tasks
- Keep up to date with available relevant technologies, to solve business problems
- Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
- Help define/share best practices for the business users and enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
- Share daily/weekly progress made by the team
- Work with senior stakeholders & drive the discussions independently
- Mentor and lead a team of software developers on analytics related product development practices
Qualifications:
- 10-13 years of data engineering experience.
- Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
- In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
- Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
- Intuitive with good interpersonal-skills, time-management and task-prioritization
- Ability to lead a technical team of software developers and mentor them on good software development practices.
- Ability to quickly grasp the business problem and nuances when put forth.
- Ability to quickly put together an execution plan and see it through till closure.
- Strong communication, presentation and influencing skills.
Education:
- Bachelor’s/University degree or equivalent experience
- Data Science or Analytics specialization preferred
Shubham Vishwakarma
Full Stack Developer - Averlon
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📍 Location : Chennai (RMZ – Face-to-Face Interview Required)
💼 Experience : 2+ Years (Total & Relevant)
💰 Budget : Up to 8 LPA
📅 Joining : Immediate
Job Description :
We are looking for a motivated and experienced Scrum Master with hands-on experience in Agile and SAFe (Scaled Agile Framework) methodologies.
The ideal candidate will have strong facilitation skills, excellent communication, and a proactive mindset to drive Agile best practices across the team.
Mandatory Skills :
Agile, Scrum, SAFe (Scaled Agile Framework), Team Facilitation, Strong Communication Skills.
Key Responsibilities :
- Facilitate Agile ceremonies such as Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
- Guide and coach the team on Agile and SAFe principles, ensuring adherence to best practices.
- Act as a servant leader, removing impediments and helping the team remain focused and productive.
- Foster a culture of collaboration, continuous improvement, and high performance.
- Work closely with Product Owners, Developers, and other stakeholders to ensure delivery of high-quality products.
Mandatory Skills :
- Agile & Scrum Methodologies
- SAFe Framework
- Strong communication and team facilitation skills
- Proactive problem-solving attitude
Interview Mode :
- Face-to-Face only at RMZ, Chennai
About MyOperator
MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement
Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
- Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
We are looking for a Senior Video Editor cum Motion Graphic Designer with strong hands-on experience in video editing and motion graphics. The ideal candidate should have worked full-time with a digital marketing agency and be comfortable handling multiple creative projects.
Responsibilities:
- Edit high-quality videos for digital marketing and branding
- Create motion graphics and animations using After Effects
- Collaborate with marketing and design teams to understand project requirements
- Ensure timely delivery and maintain quality standards
- Handle revisions and feedback efficiently
Requirements
- 3+ years of experience in video editing
- Strong proficiency in Adobe Premiere Pro
- Working knowledge of Adobe After Effects
- Full-time experience with a digital marketing agency preferred
- Good understanding of digital and social media content formats
Benefits
- 5-day work week (Monday to Friday)
- Friendly and creative work environment
- Opportunity to learn and grow with the team
Java
React.js
Angular (2+)
Spring BootDesign, build, and operate end-to-end web and API solutions (front end + back end) with strong automation, observability, and production reliability. You will own features from concept through deployment and steady state, including incident response and continuous improvement.
Key Responsibilities:
Engineering & Delivery
- Translate business requirements into technical designs, APIs, and data models.
- Develop back-end services using Java and front-end components using React / Angular / Vue (where applicable).
- Build REST / GraphQL APIs, batch jobs, streaming jobs, and system integration adapters.
- Write efficient SQL/NoSQL queries; optimize schemas, indexes, and data flows (ETL / CDC as needed).
Automation, CI/CD & Operations
- Automate builds, testing, packaging, and deployments using CI/CD pipelines.
- Create Linux shell and Python scripts for operational tasks, environment automation, and diagnostics.
- Manage configuration, feature flags, environment parity, and Infrastructure as Code (where applicable).
Reliability, Security & Quality
- Embed security best practices: authentication/authorization, input validation, secrets management, TLS.
- Implement unit, integration, contract, and performance tests with enforced quality gates.
- Add observability: structured logs, metrics, traces, health checks, dashboards, and alerts.
- Apply resilience patterns: retries, timeouts, circuit breakers, and graceful degradation.
Production Ownership
- Participate in on-call rotations, incident triage, RCA, and permanent fixes.
- Refactor legacy code and reduce technical debt with measurable impact.
- Maintain technical documentation, runbooks, and architecture decision records (ADRs).
Collaboration & Leadership
- Mentor peers and contribute to engineering standards and best practices.
- Work closely with Product, QA, Security, and Ops to balance scope, risk, and timelines.
Qualifications
Must Have
- Strong experience in Java (core concepts, concurrency, REST frameworks).
- Strong Python experience (services + scripting).
- Solid Linux skills with automation using shell/Python.
- Web services expertise: REST/JSON, API design, versioning, pagination, error handling.
- Databases: Relational (SQL tuning, transactions) plus exposure to NoSQL / caching (Redis).
- CI/CD tools: Git, pipelines, artifact management.
- Testing frameworks: JUnit, PyTest, API testing tools.
- Observability tools: Prometheus, Grafana, ELK, OpenTelemetry (or equivalents).
- Strong production support mindset with incident management, SLA/SLO awareness, and RCA experience.
Good to Have
- Messaging & streaming platforms: Kafka, MQ.
- Infrastructure as Code: Terraform, Ansible.
- Cloud exposure: AWS / Azure / GCP, including managed data services.
- Front-end experience with React / Angular / Vue and TypeScript.
- Deployment strategies: feature flags, canary, blue/green.
- Knowledge of cost optimization and capacity planning.
Key Performance Indicators (KPIs)
- Deployment frequency & change failure rate
- Mean Time to Detect (MTTD) & Mean Time to Recover (MTTR)
- API latency (p95) and availability vs SLOs
- Defect escape rate & automated test coverage
- Technical debt reduction (items resolved per quarter)
- Incident recurrence trend (continuous reduction)
Soft Skills
- End-to-end ownership mindset
- Data-driven decision making
- Bias for automation and simplification
- Proactive risk identification
- Clear, timely, and effective communication
About the Company – Bits In Glass
- 20+ years of industry experience
- Merged with Crochet Technologies in 2021 to form a larger global organization
- Offices in Pune, Hyderabad, and Chandigarh
- Top 30 global Pega partner and sponsor of PegaWorld
- Elite Appian Partner since 2008
- Operations across US, Canada, UK, and India
- Dedicated Global Pega Center of Excellence
Employee Benefits
- Career Growth: Clear advancement paths and learning opportunities
- Challenging Projects: Global, cutting-edge client work
- Global Exposure: Collaboration with international teams
- Flexible Work Arrangements: Work-life balance support
- Comprehensive Benefits: Competitive compensation, health insurance, paid time off
- Learning & Upskilling: AI-enabled Pega solutions, data engineering, integrations, cloud migration
Company Culture & Values
- Collaborative & Inclusive: Teamwork, innovation, and respect for diverse ideas
- Continuous Learning: Certifications and skill development encouraged
- Integrity: Ethical and transparent practices
- Excellence: High standards in delivery
- Client-Centricity: Tailored solutions with measurable impact
Machine Learning (ML)Data Science1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash
Required Skills (Non-Technical):-
1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level :- Senior level- 4+Years
Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST
iOS App DevelopmentKey Responsibilities:
- Conceptualizing and formulating apps that are suitable for use on all types of Android devices.
- Implementing measures to safeguard users' data.
- Ensuring that the construction and presentation of your apps are congruent with the company's standards.
- Proofreading your code and correcting mistakes before each app is released.
- Collaborating with UI and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order.
- Liaising with the marketing department to ensure consistency in our company's 'voice' across the board.
- Monitoring app reviews to detect areas for improvement.
- Creating app updates, including bug fixes and additional features, for release.
Key Competencies (Functional):
- Proficiency in Java, Kotlin, or C++.
- Ability to use the Android Studio, including the Android SDK, with ease.
- Proficient in code versioning tools including Mercurial, Git, and SVN.
- Knowledge of C-based libraries.
- Familiarity with push notifications, APIs, and cloud messaging.
- Experience with continuous integration.
JavaSpring Boot
Amazon Web Services (AWS)- Java development knowledge is a must
- Springboot preferred
- 2.AWS exposure is a must
- Engineering degree in Computer Science, Electronics and, Communication or Information Science.
- Or MCA is agreeable.
- Location: Bangalore
NodeJS (Node.js)
MongoDB
Express- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
HTML/CSS
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon