Naveera Technology LLC

• Design, develop, and deploy end-to-end machine learning and deep learning models. • Build scalable solutions for large-volume data processing. • Develop and optimize Generative AI applications using LLMs. • Collaborate with cross-functional teams on use cases in insurance. • Ensure model performance and monitoring in production environments.

Role Description We are looking for a highly skilled Machine Learning Engineer with strong expertise in both traditional machine learning and modern Generative AI (LLMs) to design, build, and deploy scalable AI solutions. The ideal candidate will work on large-scale structured and unstructured data, enabling intelligent automation and insights, particularly in domains such as insurance (claims, underwriting, fraud detection). Qualifications - Strong foundation in machine learning algorithms (supervised & unsupervised) - Experience with anomaly detection, time-series, and predictive modeling - Proficiency in Python and ML libraries (Scikit-learn, XGBoost, PyTorch/TensorFlow) - Hands-on experience with LLMs (OpenAI, Claude, Hugging Face, etc.) Requirements - Strong understanding of RAG (Retrieval-Augmented Generation) - Prompt engineering & evaluation - Embeddings & vector databases (e.g., FAISS, Milvus) - Experience building GenAI applications (chatbots, document summarization systems) - Experience working with large datasets (batch + streaming) - Knowledge of data pipelines and tools (Spark, Airflow, or similar) - Familiarity with cloud platforms (Azure, AWS, or GCP) - Experience deploying models using APIs (FastAPI/Flask) - Understanding of Docker, CI/CD pipelines, and model monitoring - Knowledge of version control and experiment tracking tools Benefits - Lead large-scale AWS-to-GCP cloud transformation initiatives. - Work on enterprise Data Lakehouse and analytics modernization projects. - Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker. - Flexible remote work environment. - Exposure to global enterprise customers. - Collaborative, innovation-driven engineering culture. - Continuous learning and certification opportunities.

• Lead end-to-end migration of enterprise data platforms from AWS to Google Cloud Platform • Design migration strategies for AWS Redshift, Glue, S3, DynamoDB, Data Lakes, Data Warehouses, and ETL pipelines into GCP-native services • Modernize existing AWS data architectures using Google Cloud best practices • Assess existing AWS environments and recommend optimized GCP solutions • Ensure seamless migration with minimal business disruption • Design scalable batch and streaming data pipelines using Google Dataflow (Apache Beam) • Develop event-driven architectures using Google Pub/Sub • Build enterprise analytical solutions using BigQuery, including streaming inserts and performance optimization • Develop and orchestrate workflows using Cloud Composer (Apache Airflow) • Manage enterprise-scale storage using Google Cloud Storage (GCS) • Implement cloud-native data engineering solutions following Google Cloud best practices • Design, develop, and optimize ETL/ELT pipelines using AWS Glue and AWS Glue DataBrew • Work extensively with Amazon Redshift, Amazon S3, and DynamoDB • Develop scalable ETL workflows using Python, PySpark, and SQL • Build and maintain Data Lakehouse architectures supporting enterprise analytics • Optimize data ingestion, transformation, and loading processes across hybrid cloud environments • Design modern Data Lakehouse, Data Warehouse, and Data Lake architectures • Develop dimensional data models, star schemas, and optimized analytical datasets • Build transformation pipelines using DBT (Data Build Tool) • Write and optimize complex SQL queries for high-performance analytics • Ensure data quality, governance, metadata management, and performance optimization • Lead migration of enterprise dashboards from Qlik Sense to Looker • Translate business reporting requirements into scalable semantic models • Optimize reporting performance using BigQuery and LookML best practices • Collaborate with business stakeholders to modernize enterprise reporting platforms • Lead architecture design sessions and cloud migration workshops • Mentor Data Engineers and establish engineering best practices • Conduct architecture, code, and design reviews • Collaborate with business, DevOps, QA, and Analytics teams • Coordinate effectively with onsite and offshore delivery teams • Implement enterprise security standards across AWS and GCP • Define IAM, encryption, auditing, and monitoring strategies • Ensure compliance with governance and regulatory standards • Establish data quality frameworks and operational monitoring • Gather business requirements and define cloud migration roadmaps • Estimate project efforts and prepare technical solution documents • Manage project timelines, risks, dependencies, and stakeholder communications • Present technical architecture and migration strategies to leadership and clients

Role Description We are seeking an experienced AWS to GCP Migration Data Architect with 10+ years of overall experience and hands-on AWS & GCP Data Engineering expertise. The ideal candidate will lead enterprise-scale cloud migration initiatives from AWS to Google Cloud Platform (GCP), modernize analytics platforms, migrate BI solutions from Qlik Sense to Looker, and architect scalable cloud-native data platforms. This role requires strong expertise in AWS data services, GCP data engineering, ETL modernization, Data Lakehouse architecture, and technical leadership while collaborating with onsite and offshore teams. Qualifications - 10+ years of experience in data engineering and cloud migration. - Strong expertise in AWS data services and GCP data engineering. - Experience in ETL modernization and Data Lakehouse architecture. - Technical leadership and collaboration skills. Requirements - AWS to GCP Migration. - Google Cloud Platform (GCP). - Google Pub/Sub. - Dataflow (Apache Beam). - BigQuery. - Cloud Composer (Airflow). - Google Cloud Storage (GCS). - AWS Redshift. - AWS Glue. - AWS Glue DataBrew. - Amazon S3. - DynamoDB. - DBT (Data Build Tool). - SQL. - Python. - PySpark. - Data Lakehouse. - ETL/ELT. - Qlik Sense to Looker Migration. - Cloud SQL. - Terraform. - CI/CD. Benefits - Lead large-scale AWS-to-GCP cloud transformation initiatives. - Work on enterprise Data Lakehouse and analytics modernization projects. - Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker. - Flexible remote work environment. - Exposure to global enterprise customers. - Collaborative, innovation-driven engineering culture. - Continuous learning and certification opportunities.

• Define and implement end-to-end Data Lakehouse solutions on AWS. • Lead the automation of cloud infrastructure using Terraform. • Orchestrate large-scale performance tuning initiatives. • Establish automated Data Quality gates using AWS Glue Data Quality. • Design complex, event-driven workflows using Step Functions and Airflow. • Serve as the primary technical liaison between Data Science, BI teams, and Business Stakeholders.

• Develop, maintain, and optimize LookML models, explores, and dashboards in Looker. • Work directly with business stakeholders and customers to gather requirements and translate them into analytics solutions. • Lead requirement discussions and clarify ambiguous business needs. • Design scalable data models and KPI-driven reporting solutions. • Collaborate with Data Engineers, Analysts, and Cloud teams for end-to-end analytics delivery. • Create structured documentation for business requirements, KPI definitions, and technical implementations. • Ensure data quality, consistency, and performance optimization across dashboards and reports. • Support customer-facing discussions, demos, and solution walkthroughs. • Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

• Design and develop service based architectures and distributed systems. • Work hands-on with .NET Core/.NET Framework, React/ Angular, SQL, AWS, and modern JavaScript frameworks. • Apply Domain-Driven Design (DDD) principles. • Champion AI driven SDLC process where Claude is used extensively to automate design, development, testing and CI/CD. • Drive technical redirection projects, specifically high-volume Angular-to-React conversions. • Establish and maintain rigorous coding standards and best practices across the team.

Role Description We are looking for an experienced Looker & LookML Developer with strong expertise in data analytics, business engagement, and customer-facing interactions. The ideal candidate should have hands-on experience in building scalable LookML models, dashboards, and analytics solutions while working closely with business stakeholders and technical teams. The candidate will play a key role in translating business requirements into meaningful data insights and analytics solutions within Brokerage & Logistics domain projects. Qualifications - 5 to 10 years of experience - Looker & LookML Developer with GCP Cloud - Ability to work closely with stakeholders and business users - Strong requirement gathering and KPI definition skills - Hands-on experience building LookML models, explores, and dashboards in Looker - Strong documentation and communication skills - Understanding of data structures, metric logic, and analytics modeling - Organized and structured problem-solving approach - Experience in Brokerage, Logistics, Supply Chain, or Transportation domain projects - Exposure to cloud-based analytics platforms on GCP or AWS - Experience handling customer-facing roles and stakeholder discussions independently - Strong analytical and communication skills Requirements - Develop, maintain, and optimize LookML models, explores, and dashboards in Looker - Work directly with business stakeholders and customers to gather requirements and translate them into analytics solutions - Lead requirement discussions and clarify ambiguous business needs - Design scalable data models and KPI-driven reporting solutions - Collaborate with Data Engineers, Analysts, and Cloud teams for end-to-end analytics delivery - Create structured documentation for business requirements, KPI definitions, and technical implementations - Ensure data quality, consistency, and performance optimization across dashboards and reports - Support customer-facing discussions, demos, and solution walkthroughs - Work with cloud-based data platforms and modern data warehouse solutions - Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives Benefits - Remote Work - This is a customer-facing role requiring strong communication and stakeholder interaction skills - Candidate should be comfortable working remotely in EDT time zone - Immediate joiners or candidates available at short notice will be preferred

Role Description We are looking for a talented, full stack senior level engineer to help build scalable software solutions in an agile environment. The ideal candidate will have experience building APIs that interface with modern frontend technologies. Additionally, this candidate will be familiar with building and supporting applications responsible for batch processing of large and complex data. - Design and develop service based architectures and distributed systems. - Work hands-on with .NET Core/.NET Framework, React/Angular, SQL, AWS, and modern JavaScript frameworks. - Apply Domain-Driven Design (DDD) principles. - Champion AI driven SDLC process where Claude is used extensively to automate design, development, testing and CI/CD. - Drive technical redirection projects, specifically high-volume Angular-to-React conversions. - Establish and maintain rigorous coding standards and best practices across the team. Qualifications - 5+ years of professional software development experience. - Extensive experience with .NET Core / .NET Framework and SQL Server. - Experience with modern JavaScript frameworks such as React and Angular. - Strong proficiency with AWS/Azure services or other cloud-based architectures. - Strong proficiency with Claude Code. - Experience with DevOps CI/CD pipelines and Jira. - Proficiency in Domain-Driven Design (DDD) and ability to architect and implement its principles. - Hands-on experience designing and building service-based architectures and complex integration with external applications/APIs. - Experience with batch processing and automated jobs. - Domain knowledge around Orthodontics Insurance is a plus. - Familiarity with event-driven architectures. Requirements - .NET Core (3+ Yrs) - ReactJs (2+ Yrs) - AWS/Azure Cloud (3+ Yrs) - Claude AI (6 months) - Orthodontics/Insurance Domain (2 Years) - Work Timing: 2 PM to 11:30 PM IST (Afternoon Shift) - Notice Period: Prefer candidates currently serving notice or immediate joiners who can join on or before 30th Jun'26. - Communication: Excellent communication (Experience in Working in product companies preferred) - Visa Status: Must hold an H1B or another onsite visa, have an expired visa, or be an Onsite Returned resource from the USA or UK. Benefits - Remote-first work culture - Global client exposure - Challenging projects in Claude AI, Data & Cloud - Flexible work environment - Continuous learning and career growth - Competitive compensation and recognition programs - Collaborative, innovation-driven team culture

Role Description We are looking for an experienced Looker & LookML Developer with strong expertise in data analytics, business engagement, and customer-facing interactions. The ideal candidate should have hands-on experience in building scalable LookML models, dashboards, and analytics solutions while working closely with business stakeholders and technical teams. The candidate will play a key role in translating business requirements into meaningful data insights and analytics solutions within Brokerage & Logistics domain projects. Qualifications - 5 to 10 years of experience - Looker & LookML Developer with GCP Cloud Requirements - Develop, maintain, and optimize LookML models, explores, and dashboards in Looker. - Work directly with business stakeholders and customers to gather requirements and translate them into analytics solutions. - Lead requirement discussions and clarify ambiguous business needs. - Design scalable data models and KPI-driven reporting solutions. - Collaborate with Data Engineers, Analysts, and Cloud teams for end-to-end analytics delivery. - Create structured documentation for business requirements, KPI definitions, and technical implementations. - Ensure data quality, consistency, and performance optimization across dashboards and reports. - Support customer-facing discussions, demos, and solution walkthroughs. - Work with cloud-based data platforms and modern data warehouse solutions. - Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Benefits - Remote Work