Front Deployed AI Engineer

Job Overview

Apprication Pvt ltd are seeking a proactive, results-driven Business Relationship Manager for a night shift role at our US-based POS software company located in Goregaon East.

Key Responsibilities:

• Onboard referral partners and expand the business network while building strong relationships
• Act as the primary contact, ensuring smooth communication and partner support
• Drive revenue through partner leads, conversions, and engagement strategies
• Monitor performance, resolve issues, and identify opportunities through market insights.

Key Requirements.

• 3–5 years of experience in partnership, business development, or relationship management
• Strong English communication, negotiation, and interpersonal skills
• Proven ability to build relationships and achieve targets
• Self-driven, with the ability to manage multiple partners and analyze performance metrics

Preferred Skills.

• Experience managing referral/affiliate programs, reporting dashboards, and strong stakeholder management skills with Excellent communication.

At Technoidentity, we’re a Data + AI product engineering company delivering scalable, modern enterprise solutions.

We are seeking a seasoned Senior Database Developer & PostgreSQL Expert with 8–10 years of experience across multiple database systems, with deep hands-on expertise in PostgreSQL internals, performance tuning, advanced indexing, and enterprise data architecture. 

With a strong preference for Oracle to AlloyDB (PostgreSQL) migration expertise, this role blends modernization, advanced PostgreSQL engineering, and cloud-native architecture on Google Cloud Platform (GCP). If you thrive in transforming complex data logic, optimizing performance, and architecting enterprise-grade PostgreSQL systems, this opportunity is built for you. 

Requirements

Key Responsibilities 

Database Migration & Development 

• Lead database migrations from Oracle to PostgreSQL-based platforms like AlloyDB, applying both manual and automated strategies. 
• Re-engineer stored procedures, triggers, and packages from PL/SQL to PL/pgSQL. 
• Recreate and optimize DB objects (schemas, constraints, views, indexes) across target platforms. 
• Design PostgreSQL-specific architecture including partitioning strategies, indexing plans (GIN, GiST, BRIN), and query optimization paths. 
• Leverage PostgreSQL internals such as vacuum tuning, WAL configuration, and connection management for optimal system performance. 

Performance Optimization 

• Implement indexing strategies, query plans, and table partitioning to enhance database performance. 
• Use tools like EXPLAIN ANALYZE, pg_stat_statements, and GCP-native monitoring dashboards for tuning. 
• Collaborate with DevOps for deployment pipelines and infrastructure-as-code (IaC) best practices. 
• Perform deep-dive PostgreSQL performance fine-tuning including buffer cache analysis, autovacuum configuration, and planner optimization. 
• Optimize PostgreSQL workloads for high concurrency and large datasets, ensuring stable and predictable performance. 

Data Integrity & Validation 

• Build and execute validation scripts for source-to-target comparison. 
• Ensure row-level data accuracy, transformation logic fidelity, and zero data loss post-migration. 
• Manage large-scale datasets for archival and bulk processing tasks. 
• Implement PostgreSQL-native data integrity strategies like constraint management, row-level security (RLS), and trigger-based validations. 

Collaboration & Documentation 

• Work with cross-functional teams to translate business logic and legacy workflows to scalable, modern database systems. 
• Maintain clear documentation on schema conversions, validation methods, rollback strategies, and change history. 
• Create PostgreSQL architecture documents, optimization playbooks, and database best-practice guidelines for engineering teams. 

Ideal Candidate Profile 

Experience & Skills 

• 4–10 years of database development experience across Oracle, PostgreSQL, and similar RDBMS platforms. 
• Strong expertise in PL/SQL and PL/pgSQL for procedural logic, error handling, and performance tuning. 
• Proven track record of large-scale database migration projects (Oracle to PostgreSQL/AlloyDB preferred). 
• Proficient in query optimization, indexing, partitioning, and schema normalization. 

Study Abroad Counsellor – Mumbai

Company: upGrad

Location: Mumbai

CTC: ₹6 LPA – ₹8 LPA Fixed + Up to ₹4 LPA Variable

About the Role

upGrad is looking for passionate and stStudy udent-focused professionals to join our Study Abroad Counselling team. As a Study Abroad Counsellor, you will guide aspiring students throughout their international education journey by providing personalized counselling and end-to-end admission support.

Key Responsibilities

• Counsel students on international education opportunities based on their academic background and career aspirations.
• Help students select suitable universities, courses, and study destinations across the UK, USA, Canada, Australia, and Europe.
• Assist students in preparing application documents, including Statements of Purpose (SOPs), Letters of Recommendation (LORs), and resumes.
• Guide students on tuition fees, scholarships, living expenses, visa processes, and admission requirements.
• Manage leads efficiently and maintain accurate records using CRM tools.
• Achieve monthly counselling and enrollment targets while ensuring an excellent student experience.
• Stay updated on global education trends, university requirements, and admission policies.

Requirements

• 1–2 years of experience in Study Abroad Counselling or EdTech (Mandatory).
• Strong knowledge of international education systems and study destinations.
• Excellent communication, counselling, interpersonal, and persuasion skills.
• Proficiency in MS Office and CRM platforms.
• Bachelor's degree required; Master's degree preferred.
• Target-driven, analytical, proactive, and solution-oriented mindset.

Compensation & Benefits

• Fixed Salary: ₹6 LPA – ₹8 LPA
• Performance Incentives: Up to ₹4 LPA Variable
• Opportunity to work with one of India's leading EdTech organizations and make a meaningful impact on students' global education journeys.

Location: Mumbai

Apply Now! : https://forms.gle/7hViY3UT3NLVrz9e7

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Experience:

1–3 years of SEO content writing (agency experience preferred)

Shift:

Day Shift (9:30 AM – 6:30 PM)

Key Responsibilities:

• Create strong content outlines based on search intent and competitor analysis

• Conduct keyword research and map keywords to content

• Write high-quality SEO content including blogs, landing pages, service pages, and guides

• Optimize content using SEO best practices (H1–H3 structure, metadata, internal linking,

readability, schema basics, E-E-A-T)

• Refresh existing content to improve rankings

Required Skills:

• Strong understanding of Google E-E-A-T guidelines

• Excellent command of English with clarity-driven writing skills

• Good knowledge of SEO writing, keyword intent, and readability

• Familiarity with tools such as Google Search Console, Semrush, or similar SEO tools

• Ability to conduct in-depth research and produce plagiarism-free content

• Experience in writing long-form SEO blogs

Job Description: .NET Core Developer (Immediate Joiners) - Jaipur

We are seeking talented and motivated .NET Core Developers to join our team at our Jaipur location. This is a full-time, in-office position ideal for candidates experienced in eCommerce applications, 3rd party API integrations, hardware integration, and inventory-based ERP applications.

Responsibilities:

- Develop and maintain eCommerce applications using .NET Core.

- Integrate third-party APIs seamlessly into existing systems.

- Implement hardware integration solutions for enhanced functionality.

- Design and develop inventory-based ERP applications.

- Collaborate with cross-functional teams to deliver high-quality software solutions.

Requirements and Skills:

- Proficiency in .NET Core development.

- Hands-on experience with eCommerce applications and 3rd party API integrations.

- Strong understanding of hardware integration principles.

- Experience in developing inventory-based ERP applications.

- Excellent problem-solving and analytical skills.

- Ability to work independently and as part of a team.

- Effective communication skills and ability to collaborate with stakeholders.

- Immediate availability to join the team in Jaipur.

If you are passionate about developing innovative software solutions and meet the requirements mentioned above, we encourage you to apply and be a part of our dynamic team.

Job Type: Full-time

Pay: Up to ₹50,000.00 per month