Data Scientist

About the Role

We are looking for a highly accomplished Generalist Fullstack Engineer for an immediate long-term track opportunity.

This is a 90% hands-on core engineering role. If you are looking for a management or guidance-only position, this is not the right fit. We need builders who love writing high-quality code and own end-to-end features across both backend services and frontend architectures.

Job Parameters & Eligibility

• Experience Required: 5 to 10 Years (Profiles with less than 5 years will not be evaluated).
• Work Mode: Hybrid (3 days Work From Office compulsory at Koramangala, Bengaluru).
• Joining Timeline: Immediate Joiners / Candidates currently serving notice with a Last Working Day (LWD) within the next 20 days only.

Key Responsibilities

• End-to-End Delivery: Design, develop, and deploy highly performant fullstack web applications.
• Backend Mastery: Build modular, scalable, and secure microservices and RESTful/GraphQL APIs.
• Frontend Engineering: Architect clean, dynamic user interfaces ensuring highly optimized state management and reusable components.
• Infrastructure & Data: Work natively with cloud infrastructures and design optimized SQL relational database systems.

Technical Stack Requirements

Backend Depth:

• Advanced hands-on experience in Node.js (Highly Preferred), Python, Java, or Golang.
• Solid experience writing optimized queries and managing relational architectures in SQL.

Frontend Depth:

• Proven UI experience working extensively with modern libraries like React.js, Angular, or Vue.js.
• Deep knowledge of complex frontend state management patterns and structural performance optimization.

Cloud & Infrastructure:

• Robust exposure to AWS core services.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform is a significant plus.

What We Avoid

• Profiles with less than 5 years of absolute engineering depth.
• Frequent job hoppers with multiple short stints.
• Developers whose frontend knowledge is restricted to basic styling rather than complete end-to-end logic/state implementation.

About Indee

Indee is a secure video streaming and distribution platform trusted by the world's largest studios, streamers, and awards bodies. Today more than 1100 companies use Indee to power screeners, awards campaigns, content sales, and secure review workflows, including partners such as Netflix, A24 Films, Amazon MGM Studios, Disney, Paramount Pictures, Universal Pictures, NBC Universal, Focus Features, Paramount Global, Neon, STARZ, and Magnolia Pictures. Indee has achieved consistent growth, averaging 60% year-on-year growth over the past five years.

About the role

We are seeking a QA Manager with 8-12 years of experience in software testing and quality assurance, including experience leading QA teams in fast-paced product environments. The ideal candidate is a hands-on quality leader with strong expertise in both manual and automation testing, a proven track record of driving high-velocity daily releases, and the ability to build and develop high-performing QA teams. This individual will be responsible for the quality strategy for Indee's products while actively contributing to release planning, testing initiatives, process improvements, automation efforts, and production quality outcomes.

Responsibilities

• Own and continuously evolve Indee's QA strategy across manual, automation, regression, exploratory, API, performance, and release testing.
• Lead QA efforts throughout the software development lifecycle, including test planning, test execution, defect management, risk assessment, release validation, and release sign-offs.
• Drive adoption of AI-enabled testing approaches and continuously evaluate opportunities to improve testing efficiency, quality, and coverage.
• Drive release quality by establishing strong validation processes, improving regression coverage, and minimizing production defects.
• Define, track, and report on key quality metrics, including production defect leakage, release readiness, automation coverage, defect trends, and test effectiveness.
• Conduct root cause analysis for production issues and implement preventive actions to improve product quality and release stability.
• Drive automation initiatives across the QA function, improving automation coverage, framework reliability, execution efficiency, and long-term maintainability.
• Partner with engineering teams to identify automation opportunities and improve testing effectiveness through API-based and UI-based automation approaches
• Mentor and develop QA engineers across manual and automation testing disciplines, supporting skill development, career growth, and technical excellence.
• Enable manual QA engineers to contribute to automation efforts through coaching, structured ownership, and ongoing support.
• Collaborate with product and engineering teams to drive quality throughout the software development lifecycle, from requirements and design through testing, release, and production support.
• Support timely investigation, validation, and resolution of customer-reported issues, production incidents, and QA-related escalations.
• Improve release planning, workload allocation, and team capacity management to support multiple concurrent projects and business priorities.
• Lead, mentor, and manage the QA team, including hiring, onboarding, performance management, capacity planning, and succession planning.
• Foster a collaborative, accountable, and high-performing team culture that promotes ownership, continuous improvement, and operational excellence.

Requirements

Education: Bachelor's degree in computer science, software engineering, or a related field; master's degree preferred.

Experience:

• 8-12 years of QA experience in product companies.
• 4+ years of experience managing/leading QA teams.

Must Haves

• Strong people leadership and planning skills
• Ability to schedule work within defined timelines for the team.
• Strong hands-on experience in QA of web and mobile applications.
• Experience in test automation using Selenium with Python, leveraging BDD frameworks.
• Experience with API testing using tools like Postman or equivalent.
• Strong understanding of test strategy, test planning, regression testing, defect management, and release validation processes.
• Experience leading QA for production releases and driving release sign-off decisions.
• Experience defining, tracking, and analyzing quality metrics and release health indicators.
• Strong understanding of root cause analysis and defect prevention methodologies.
• Experience working in Agile/Scrum environments.
• Strong stakeholder management, communication, and cross-functional collaboration skills.
• Strong capabilities in git/github
• Strong experience in JIRA, issue tracking, JIRA customization and reporting.
• Experience with Appium or mobile automation frameworks.

Good-to-haves

• Exposure to performance testing
• Understanding of ISO-27001 processes and frameworks
• Understanding of SOC-2 compliance and application / QA-specific needs.
• Exposure to security and penetration testing.
• Strong background in CI/CD pipelines

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with cutting-edge technologies and industry-leading experts.
• Flexible work environment with the option for remote work for 3 weeks a month (hybrid).
• Professional development opportunities and support for continued learning.
• Dynamic and collaborative company culture with opportunities for growth and advancement.

If you are passionate about software quality and leading high-performing teams, value collaboration, and are eager to work in a respectful environment, we'd love to hear from you!

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

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

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Hi,

I am HR from Janapriya school , Miyapur , Hyderabad , Telangana.

Currently we are looking for a primary computer teacher .

the teacher should have atleast 2 years experience in teaching computers .

Intrested candidates can apply to the above posting.

Hi

Profile : Network Support Engineer

Experience - 3+ years

Timing - Thurs-Mon: 10:30PM to 7:30 AM

https://www.thinksys.com/

 Location: NOIDA, Sec-62 ( Work from Office)

Expertise & Hands on experience with the following:

• Creating new infrastructure from scratch
• Excellent working experience of LAN, WAN management and network devices
• Linux Server installation and drivers installations configuration
• Network troubleshooting in both windows, linux environments.
• Troubleshooting of WiFi Networks
• Solid understanding of networking concepts and protocols, including TCP/IP, DNS, DHCP, BGP, OSPF, VLANs, and VPNs.
• Perform network diagnostics using tools such as Wireshark, tcpdump, and SNMP.
• Investigate security incidents and implement measures to mitigate risks. ○ Participate in on-call rotation to provide support for network emergencies.
• Working experience to manage the complex network infrastructure.
• Experience to do automation to manage network devices using scripting.
• Strong analytical and problem-solving skills with the ability to quickly diagnose and resolve network issues.
• Cisco CCNA or equivalent certification is a plus.

Scripting for automation ○ Python ○ Bash

Non-Functional Requirements: 

• Performs regular audits of server security and websites exposed outside to the world.
• Documenting any processes which employees need to follow in order to successfully work within our computing system.
• Experience supporting technical teams (e.g., developers and/or IT teams)
• Strong attention to details of problems and ability to navigate complex issues in high pressure situations
• The ability to effectively collaborate with various internal teams
• Excellent critical thinking and problem solving skills.
• Ensures all the problems are resolving in a timely manner and following SLAs.
• Ability to prioritize a wide range of workloads with critical deadlines.
• Experience in a 24x7 environment.
• Good communication skills

Looking Data Enginner for our OWn organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.

• 3+ years of work experience as a Python Developer. 
• Sound understanding and knowledge of Python and its ecosystem libraries like pandas and numpy. Also be able to write modular code and understand the python packaging system. 

• Experience on web crawling, scraping (Scrapy,BeautifulSoup, Selenium) and web application development using Django/Flask Framework. 
• Experience on Data-Science; exposure to Theanos, Tensorflow, Pytorch (preferable) 
• Exposure to data mining, Pyspark (preferable)