
Job Title: Practical Coordinator
Location: Mumbai
Employment Type: Full-time, In-Office Work (6 days per week)
Job Description:
• Conduct outbound calls to students who have completed their theory classes to assist them in scheduling their practical training sessions as part of the Personal Training Course.
• Manage incoming requests from students across various communication channels, including phone calls, emails, WhatsApp, and messages, ensuring effective communication and clarity regarding practical training schedules.
• Maintain and update practical scheduling data in Excel and Google Sheets, ensuring accuracy and accessibility for all relevant Stakeholders.
• Generate and distribute scheduling reports for review, tracking, and reference purposes.
If anyone intt then apply through link:- https://tiny.cc/NGtalent

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Support executive for Heyo, the candidate should be customer-focused and have at least a year of experience in a chat support process.They will handle real-time customer interactions over chat and calls, they will need to guide users through queries, troubleshoot issues, and ensure a smooth experience with Heyo’s platform.
Key Responsibilities
- Respond to customer queries via chat and phone calls in a timely manner
- Troubleshoot basic technical issues related to calling, WhatsApp setup, and app features
- Guide users through onboarding steps
- Document common issues and grab insights to contribute to internal knowledge bases
- Escalate complex issues to the product or tech team
- Collect and relay customer feedback
- Maintain high customer satisfaction
Requirements
- At least one year of experience (preferably 2) in a customer support role (SaaS or tech product experience is vital)
- Strong communication skills in English and Hindi.
- Ability to explain technical concepts clearly to non-technical users
- Familiarity with WhatsApp Business API(very important), cloud telephony, or CRM systems is an advantage
- Experience using tools like Freshdesk, Google Suit and Excel.
- Understanding of customer support terminologies (CSAT, FRT, TAT, etc.)
- Exposure to working in a startup or fast-paced SaaS environment
Strong Data Scientist/Machine Learnings/ AI Engineer Profile
Mandatory (Experience 1) – Must have 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
Mandatory (Experience 2) – Must have strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
Mandatory (Experience 3) – Must have hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
Mandatory (Experience 4) – Must have strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
Mandatory (Experience 5) – Must have experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
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Performance Optimization & Query Tuning
• Tune query performance for PostgreSQL, EdgeDB, MongoDB Atlas, and Snowflake.
• Analyze execution plans, identify bottlenecks, and implement indexing & caching strategies.
• Work with engineering teams to optimize schema design for OLTP (Postgres/EdgeDB) and metadata storage (MongoDB).
Database Architecture & Scalability
• Design multi-tenant scaling strategies for PostgreSQL and MongoDB Atlas (schema, sharding, partitioning).
• Implement high-availability, replication, and clustering configurations.
• Optimize Snowflake warehouse configurations for query speed and cost control.
Operational Excellence
• Plan and execute zero-downtime database upgrades and schema migrations.
• Set up proactive monitoring, alerting, and anomaly detection across all database systems.
• Manage capacity planning for storage and compute resources across Postgres, MongoDB Atlas, and Snowflake.
Storage & Cost Optimization
• Reduce storage costs via archiving, partitioning, compression, and lifecycle policies.
• Optimize Snowflake compute and storage usage with warehouse tuning and data pruning.
• Implement tiered storage strategies for cold vs. hot data.
Security, Compliance & Governance
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Collaboration & Knowledge Sharing
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• Provide training and documentation on query best practices and schema design.
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Required:
• 7+ years DBA experience, with deep expertise in PostgreSQL and MongoDB Atlas.
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• Proven success in executing zero-downtime upgrades and large-scale migrations.
• Strong skills in query optimization, indexing, partitioning, and sharding.
• Proficiency in scripting (Python, Bash, SQL) for automation.
• Hands-on experience with monitoring tools (pg_stat_statements, Atlas monitoring, Snowflake Resource Monitors, Prometheus, Grafana).
Nice to Have:
• Experience with EdgeDB or graph/relational hybrid databases.
• Familiarity with Kubernetes-based database deployments (StatefulSets, Operators).
• Background in distributed caching (Redis, Memcached).
Key Responsibilities:
- Generate qualified leads in Mumbai and Bangalore.
- Build and maintain strong client relationships.
- Prepare and deliver product demos, proposals, and technical presentations.
- Coordinate with pre-sales/engineering teams for customized solutions.
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Job Description
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Core Virtuazliation Skills
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Additional Skills Required
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