
The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance.
Key Responsibilities
•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments
•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval
•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents)
•Build and maintain transformation workflows with strong testing and validation
•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns
•Integrate data pipelines with application services
•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement
•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents
•Apply data governance and security best practices
•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions
•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence
Required Qualifications
•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
•5+ years of experience in data engineering, analytics engineering, or platform data operations
•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts
•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling
•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation
•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis
•Understanding of data security, privacy, and governance principles in enterprise environments
Preferred Qualifications
•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning
•Experience with unstructured data processing for generative AI
•Familiarity with vector databases or vector search and RAG patterns
•Experience with event streaming and messaging
•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting)
•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks)

About Bell Techlogix
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Carsome’s Data Department is on the lookout for a Data Scientist/Data Science Lead who has a strong passion in building data powered products.
Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform.
You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.
Job Descriptions
- Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
- Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing.
- Identify, prioritize, and design testing opportunities that will inform algorithm enhancements.
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
- Unlock insights by analyzing large amounts of complex website traffic and transactional data.
- Implement analytical models into production by collaborating with data analytics engineers.
Technical Requirements
- Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
- Machine Learning / Data Science Certification
Experience & Education
- Bachelor’s in Engineering / Master’s in Data Science / Postgraduate Certificate in Data Science.
Job Title: Sales Executive - B2B Software (SaaS) Company: Ruumin (Arthat AI Technologies) Location: Jayanagar 7th Block, Bangalore Salary: ₹20,000 - ₹40,000 + Attractive Incentives Experience: 1+ Years
About Us: Ruumin is a fast-growing AI software company for hotels. We work with top brands like Marriott, Hilton, and Hyatt to automate guest services.
Job Role:
- Identify and contact Hotels/Resorts in the target market.
- Give product demos to Hotel Owners and General Managers.
- Explain how our AI helps hotels save money and improve service.
- Close deals and achieve monthly sales targets.
Requirements:
- Experience: Min 1 year in B2B Sales or Field Sales (Software or Hotel sales is a bonus).
- Skills: Good communication in English & Hindi.
- Tech-Savvy: Must be comfortable explaining software features.
- Device: Must have a laptop and smartphone.
Perks:
- High incentives on every sale.
- Work with a global AI brand.
- Office in Jayanagar (Bangalore).
We are looking for a solution architect who can build exceptional solutions in and around Hyper-Converged Infrastructure. His/her role primarily includes ©designing the solutions around the HCI Platform used by the company to build solutions also should include the different flavors of technologies to build solutions as per the requirement of the customer.
A successful solution architect should be ahead in tech innovation taking place in the HCI field. Should be creative in identifying new software, hardware and/or platforms that can be added advantage to the solution offerings and deliver an excellent solution to the customer.
Responsibilities:
- Conduct an architectural system evaluation.
- Analyze the technology environment.
- Define a collaboration framework.
- Analyze technical and business requirements.
- Define a procedure and process to ensure solution delivery.
- Create a solution prototype.
- Take part in the technology selection.
- Comply with strategic guidelines and architecture.
- Control the solution development.
- Collaborate with project management and IT development teams.
- Deep knowledge of IT Infrastructure, HCI, HCP, SND, and Virtualization (Compute, Network and Storage).
- Strong knowledge of VDI solutions and Edge Computing.
- Excellent understanding of VMWare VX-Rail, V-San, Nutanix, HP SimpliVity (Any one technology deep knowledge is expected)
- Excellent knowledge of solution designing and documenting solutions.
- Building solutions and technical documents which are relevant for the successful execution of projects.
- Monitoring the solution implementation at a technical level to make sure that the solution is error-free, and the team is taking lesser time to deliver it.
- Good technical writing skills.
- Good communication and interpersonal skills with team and subordinates. Should be a team player and coordinate work with all the stakeholders in the project.
- Solution compliance with various laws should be known.
- Good communication skills both – written and spoken.
Requirements and Qualifications
- Bachelor’s degree in computer science, information technology, or related field
- Minimum of 3+ years experience in the Information Technology field
- Minimum of 2+ years experience in solution building
- Ability to work in a high-pressure, deadline-driven environment
- Exceptional communication and reporting skills
- Solid working knowledge in all required computer infrastructure and data center environments.
- Outstanding team-player skills and ability to delegate responsibilities effectively
Added Advantage
- Any HCI Related certificate to prove the credibility.
Age Limit : below 45 years
JOB DESCRIPTION – Technical Support
Educational Qualification: Bachelor’s / Masters, CCNA Certification Experience: Fresher / 1 Year
Job Location: Delhi (Posist Head Office)
About Posist Technologies:
Posist (www.posist.com) is a B4B (Business-for-Business) company partnering with global restaurant chains in their digital transformation via its restaurant technology platform. It allows restaurant operators to automate operations, delight guests, grow revenues, and become prosperous. Posist powers 10,000+ restaurants in 50+ countries. Headquartered in New Delhi, Posist has a global presence spread across the US, UAE, Singapore, Thailand, UK, and Mexico.
Responsibilities:
- Taking Client queries over Call / Email / Chat
- Resolve the tickets via Call / Email / Chat/ Remote tools
- Register Client queries in Ticketing Tool.
- Follow-up with clients and with internal teams.
- Resolve the issue within the SLA and Company guidelines.
- Escalate the ticket to the respective team and follow-up.
- Resolve the tickets related to Printers, Cash Drawer, networking and Posist product. ● Sending updates to clients related to reported queries.
- Working in Rotational Shifts.
- Creating troubleshooting documents.
Skills Required:
- Good Communicable skills.
- Should be able to work in 24*7 environment, Rotational Shifts (weekly offs will be there)
- Practical knowledge of Hardware, network troubleshooting, Printer Installation (USB and network)
- Good Decision making skills
- Multitasking
- Willing to work Cross teams
- Should be a Team player
- Should have Knowledge of Remote Tools
- Good Skills to adapt any Software tool.
- Documentation Skills is an add on.
Roles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus

- Experience in developing and validating diagnostics (UDS Protocol)
- Excellent knowledge of UDS Protocol (ISO 14229)
- Expertise in VBA / C# or Python Scripting
- Experience with Vector Toolchain - Candela Studio, CANoe + DIVA, CANape
- Experience in handling various Automotive diagnostic – Flashing, parameter changes, etc.
- Preferred experience in Matlab / Simulink
- Preferred experience ECU SW Development and architecture
- Fair communication interpersonal skills.
- Interpersonal skills.
- Good to have ISTQB certification
Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
Excellent hands-on design, coding, testing methodologies, and debugging skills
Thorough knowledge of software development best practices, including coding standards, code reviews, source control management, build process, continuous integration, and continuous delivery
Good exposure to programming constructs and writing algorithms
Good architectural & design skills
Experience in understanding platforms & key AWS services like Elastic







