Technical Support Engineer - Network

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Job Role: Teamcenter Admin

• Teamcenter and CAD (NX) Configuration Management

• Advanced debugging and root-cause analysis beyond L2

• Code fixes and minor defect remediation

• AWS knowledge, which is foundational to our Teamcenter architecture

• Experience supporting weekend and holiday code deployments

• Operational administration (break/fix, handle ticket escalations, problem management

• Support for project activities

• Deployment and code release support

• Hypercare support following deployment, which is expected to onboard approximately 1,000+ additional users

years MS SQL Server Administration experience required 

∙Provide 24x7 support for critical production systems. 

∙ Provide technical leadership for the service component or the product. 

∙IT Operations with strong understanding of database structures, theories, principles, and best practices. 

∙Experience with Performance Tuning and Optimization (PTO), using native monitoring and third-party tools 

∙Experience with backups, restores and recovery processes 

∙Knowledge of High Availability (HA) and Disaster Recovery (DR) options for SQL Server  

∙Assist developers with complex query tuning and schema refinement. 

∙Experience in handling database corruption 

∙Manage Encrypted database, TDE and SSL certificate 

∙Manage PaaS and IaaS environment 

∙Experience with SSIS packages, SSRS and SSAS 

∙Experience working with Windows server, including Active Directory 

Tech Lead

Duties & Responsibilities

Candidate will be responsible for the architectural design, development and continuous improvement of the software and development process. The system involves real-time quote fetching and policy issuance with a deep integration with different insurance company systems.

Work Experience & Skills

• Strong experience in architecting and developing full-stack software systems.
• 5-7 years of hands-on experience in developing complex, large scale full stack consumer-facing responsive web products.
• Must have experience in Java and at least one Web framework such as Laravel / Django / CodeIgnitor and preferably with at least one JS framework like NodeJS, AngularJS or VueJS.
• Good exposure to few middleware technology tools such as application servers (nGinx, Apache, Tomcat), message queues (Gearman, ActiveMQ, Rabbit MQ, Kafka) etc..
• Experience in SOA architecture, micro services and scalable web-services (SOAP & REST) are mandatory.
• Good command & experience on database concepts like RDBMS, NoSQL, data modelling, data normalization etc.
• Prior knowledge of technical documentation techniques like UML diagrams, flow charts, sequence diagram, interaction diagrams etc. is must for the role.
• Experience with Elastic infrastructure solutions / deployment (Docker, Kubernetes, OpenShift, Mesos) and CI/CD systems such as Jenkins is required.
• Exposure to Agile & Scrum processes with experience as Scrum Master on Jira or Rally or similar tools is desired.
• Past record of handling cloud hosting services of Amazon, Google or MS Azure for engineering deployments.

Qualifications

B Tech / BE / M Tech / ME or equivalent in Computer Science, Engineering or similar relevant fields

Your Responsibilities:   

• Independently coordinate webinars, tradeshows, and conferences, including overseeing logistics, managing registrations, coordinating with vendors, and ordering marketing collateral. 
• Coordinate product, event, or content email marketing campaigns, including copy, scheduling, testing, and database management 
• Assist with website content social media and digital marketing programs. 
• Evaluate and monitor campaign performance on an ongoing basis by analyzing key metrics and creating comprehensive reports 

• Manage relationships with external vendors to ensure high-quality and timely execution of marketing programs, and to ensure competitiveness 

You Have:   

• Exceptional problem-solving skills  
• Strategic, data-driven mindset with excellent execution skills for rapid project completion  

• Strong interpersonal and teamwork skills  
• Experience with marketing automation tools and communication platforms 

Your Key Competencies:   

• Self-motivated  
• Detail-oriented  
• Results-driven   
• Project management for ensuring timely delivery of projects   

Your Education and Experience:   

• BA/BS University degree with a concentration in marketing, advertising, or business. 
• 2+ years of marketing experience