Urwah Admin

NorthBay Solutions

<div>
 
 
 Job Title:
 
 Senior Full Stack Engineer (React + .NET)
 
 
 Location:
 
 Lahore / Karachi / Islamabad &ndash; onsite
 
 
 Experience Required:
 
 5+ Years
 
 
 Employment Type:
 
 Full-time
 
 Job Overview
 
 We are looking for a highly skilled
 
 Senior Full Stack Engineer
 
 with strong expertise in
 
 .NET technologies and React.js
 
 to join our engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications while collaborating with cross-functional teams to deliver high-quality software solutions.
 
 Key Responsibilities
 <ul>
 <li>
 
 Design, develop, and maintain
 
 full-stack web applications
 
 using
 
 .NET / .NET Core and React.js
 
 .
 
 </li>
 <li>
 
 Build and maintain
 
 RESTful APIs and backend services
 
 .
 
 </li>
 <li>
 
 Develop responsive and user-friendly
 
 front-end interfaces using React.js
 
 .
 
 </li>
 <li>
 
 Collaborate with product managers, designers, and other developers to define and implement new features.
 
 </li>
 <li>
 
 Write clean, maintainable, and efficient code following best development practices.
 
 </li>
 <li>
 
 Optimize applications for
 
 performance, scalability, and security
 
 .
 
 </li>
 <li>
 
 Participate in
 
 code reviews, testing, debugging, and deployment activities
 
 .
 
 </li>
 <li>
 
 Troubleshoot issues and provide timely solutions.
 
 </li>
 <li>
 
 Contribute to
 
 system architecture and technical design discussions
 
 .
 
 
 </li>
 </ul>
 Required Skills &amp; Qualifications
 <ul>
 <li>
 
 
 5+ years of professional experience
 
 in software development.
 
 </li>
 <li>
 
 Strong experience with
 
 .NET / .NET Core / C#
 
 .
 
 </li>
 <li>
 
 Solid hands-on experience with
 
 React.js
 
 and modern JavaScript frameworks.
 
 </li>
 <li>
 
 Experience with
 
 HTML5, CSS3, JavaScript, and responsive design
 
 .
 
 </li>
 <li>
 
 Experience building and consuming
 
 RESTful APIs
 
 .
 
 </li>
 <li>
 
 Strong understanding of
 
 relational databases (SQL Server or similar)
 
 .
 
 </li>
 <li>
 
 Familiarity with
 
 Git or other version control systems
 
 .
 
 </li>
 <li>
 
 Good understanding of
 
 software development lifecycle (SDLC)
 
 and agile methodologies.
 
 </li>
 <li>
 
 Strong problem-solving, analytical, and communication skills.
 
 </li>
 </ul>
 Preferred Qualifications
 <ul>
 <li>
 
 Experience with
 
 cloud platforms (AWS, Azure, or GCP)
 
 .
 
 </li>
 <li>
 
 Familiarity with
 
 Docker or containerized applications
 
 .
 
 </li>
 <li>
 
 Experience with
 
 CI/CD pipelines and DevOps practices
 
 .
 
 </li>
 <li>
 
 Knowledge of
 
 microservices architecture
 
 .
 
 </li>
 </ul>
</div>

Senior Software Engineer (React + .NET)

<div>
 
 
 Senior MLOps Engineer &ndash; AWS
 
 
 
 
 Experience:
 
 5&ndash;7 Years
 
 
 Location:
 
 &nbsp;Cairo, Egypt (Onsite Role)
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 We are looking for a skilled and hands-on
 
 Senior MLOps Engineer
 
 with strong AWS expertise to support the deployment, automation, and monitoring of machine learning models in production. The ideal candidate will collaborate closely with Data Science and Engineering teams to operationalize ML models using cloud-native best practices.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement end-to-end MLOps pipelines from data ingestion to model deployment
 </li>
 <li>
 Deploy and manage ML models using AWS-native services such as SageMaker
 </li>
 <li>
 Build and maintain CI/CD pipelines for ML workflows
 </li>
 <li>
 Implement model monitoring, performance tracking, and basic drift detection
 </li>
 <li>
 Containerize ML workloads using Docker and deploy on EKS/ECS
 </li>
 <li>
 Support infrastructure automation using Terraform or CloudFormation
 </li>
 <li>
 Ensure scalability, availability, and security of ML systems
 </li>
 <li>
 Collaborate with cross-functional teams to productionize ML solutions
 </li>
 <li>
 Troubleshoot ML pipelines and cloud infrastructure issues
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 MLOps &amp; Machine Learning
 
 
 <ul>
 <li>
 5&ndash;7 years of overall experience with at least 3+ years in MLOps or ML production environments
 </li>
 <li>
 Experience managing ML lifecycle (training, deployment, monitoring)
 </li>
 <li>
 Hands-on experience with TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Experience with MLflow or similar experiment tracking tools
 </li>
 </ul>
 
 AWS Cloud (Mandatory)
 
 <ul>
 <li>
 Hands-on experience with:
 <ul>
 <li>
 Amazon SageMaker
 </li>
 <li>
 S3, EC2, Lambda
 </li>
 <li>
 IAM, CloudWatch
 </li>
 <li>
 ECR, ECS or EKS
 </li>
 </ul>
 </li>
 <li>
 Understanding of secure and scalable AWS architecture
 </li>
 </ul>
 
 DevOps &amp; Automation
 
 <ul>
 <li>
 Docker and containerization
 </li>
 <li>
 CI/CD using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
 </li>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 </li>
 </ul>
 
 Programming &amp; Data
 
 <ul>
 <li>
 Strong Python programming skills
 </li>
 <li>
 Experience with SQL and working knowledge of NoSQL databases
 </li>
 <li>
 Experience handling structured and unstructured datasets
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Exposure to feature stores and data versioning
 </li>
 <li>
 AWS Associate-level certification
 </li>
 <li>
 Basic understanding of ML governance and compliance
 </li>
 </ul>
</div>

Senior MLOps Engineer – AWS

<div>
 
 Lead Data Scientist &ndash; GenAI
 
 
 
 Experience:
 
 10&ndash;12+ Years
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 Employment Type:
 
 Full-Time
 
 
 About the Role
 
 
 NorthBay Solutions is seeking a
 
 Lead Data Scientist
 
 with deep expertise in
 
 GenAI, AI/ML, and enterprise architecture
 
 . This senior role will
 
 lead AI initiatives
 
 , mentor technical teams, and deliver complex AI solutions across cloud, on-premises, and hybrid environments.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Lead the design and architecture of
 
 AI-powered enterprise solutions
 
 </li>
 <li>
 Drive technical decisions across
 
 infrastructure, databases, APIs, microservices, and AI components
 
 </li>
 <li>
 Lead
 
 Agentic AI
 
 , multi-agent systems, and RAG workflow implementations
 </li>
 <li>
 Deploy LLMs and GenAI applications in
 
 production environments
 
 </li>
 <li>
 Provide guidance on
 
 prompt engineering
 
 , Chain-of-Thought, and advanced AI/ML techniques
 </li>
 <li>
 Integrate AI/ML models with
 
 enterprise systems
 
 for high performance and scalability
 </li>
 <li>
 Mentor and manage technical teams, ensuring
 
 knowledge transfer and best practices
 
 </li>
 <li>
 Lead
 
 AI/ML projects from conceptualization to delivery
 
 , including cloud and hybrid deployments
 </li>
 </ul>
 
 Technical Requirements
 
 <ul>
 <li>
 
 GenAI Expertise:
 
 3+ years hands-on experience with LLM fine-tuning and production deployment
 </li>
 <li>
 
 AI/ML &amp; Enterprise Architecture:
 
 5+ years in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices
 </li>
 <li>
 
 Cloud &amp; Deployment:
 
 Strong experience with AWS/Azure/GCP, SageMaker, Bedrock, Lambda, API Gateway
 </li>
 <li>
 
 DevOps &amp; CI/CD:
 
 Experience managing pipelines for ML/AI production systems
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Cloud certifications (Solutions Architect + ML Specialty preferred)
 </li>
 <li>
 Agile/Scrum leadership experience
 </li>
 <li>
 Excellent communication skills bridging business and technical stakeholders
 </li>
 </ul>
</div>

Lead Data Scientist – GenAI

<div>
 &nbsp;
 
 
 
 
 
 
 
 Job Title:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineer (Snowflake)
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Hybrid - Lahore, Karachi, Islamabad
 
 
 
 
 
 
 
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 
 
 
 
 
 
 6-8 years (Minimum 4-6 years of Snowflake experience)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Category:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineering
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Database Design &amp; Development:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Utilize Snowflake to design, develop, and optimize data architecture.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Work with PostgreSQL and other databases to manage and manipulate data.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Lead conversion projects from SQL-based platforms to Snowflake.
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Programming &amp; Scripting:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Develop robust applications and scripts using C#, Java, and Python, or other relevant technologies.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Write efficient Snowflake functions and stored procedures using JavaScript.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement big data solutions using Spark and PySpark (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Cloud Integration:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Implement data storage solutions using Amazon S3 (AWS).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate and manage data pipelines using AWS Glue (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize AWS Lambda for serverless computing (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to cloud data strategies involving GCP (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Additional Database Management:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Work with Aurora and MSSQL for various data management tasks (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Languages:
 
 
 
 
 
 
 
 
 
 
 
 
 C#, Java, Python, or other relevant technologies
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Snowflake (Design, Develop), PostgreSQL
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 Amazon S3 (AWS)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Scripting:
 
 
 
 
 
 
 
 
 
 
 
 
 JavaScript (for Snowflake functions and stored procedures)
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Big Data Technologies:
 
 
 
 
 
 
 
 
 
 
 
 
 Spark, PySpark
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 AWS Glue, AWS Lambda, GCP
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Aurora, MSSQL
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Conversion:
 
 
 
 
 
 
 
 
 
 
 
 
 SQL to Snowflake code conversion
 
 
 
 
 
 
</div>

Data Engineer(Snow Flake)

<div><h1 class="jobSectionHeader">Senior MLOps Engineer &ndash; AWS</h1>
Experience: 5&ndash;7 Years 
Location: Cairo, Egypt (Onsite Role) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Summary</h2>
We are looking for a skilled and hands-on Senior MLOps Engineer with strong AWS expertise to support the deployment, automation, and monitoring of machine learning models in production. The ideal candidate will collaborate closely with Data Science and Engineering teams to operationalize ML models using cloud-native best practices.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and implement end-to-end MLOps pipelines from data ingestion to model deployment</li><li>
Deploy and manage ML models using AWS-native services such as SageMaker</li><li>
Build and maintain CI/CD pipelines for ML workflows</li><li>
Implement model monitoring, performance tracking, and basic drift detection</li><li>
Containerize ML workloads using Docker and deploy on EKS/ECS</li><li>
Support infrastructure automation using Terraform or CloudFormation</li><li>
Ensure scalability, availability, and security of ML systems</li><li>
Collaborate with cross-functional teams to productionize ML solutions</li><li>
Troubleshoot ML pipelines and cloud infrastructure issues</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Qualifications</h2><h3 class="jobSectionHeader">
MLOps &amp; Machine Learning</h3><ul><li>
5&ndash;7 years of overall experience with at least 3+ years in MLOps or ML production environments</li><li>
Experience managing ML lifecycle (training, deployment, monitoring)</li><li>
Hands-on experience with TensorFlow, PyTorch, or Scikit-learn</li><li>
Experience with MLflow or similar experiment tracking tools</li></ul><h3 class="jobSectionHeader">
AWS Cloud (Mandatory)</h3><ul><li>
Hands-on experience with:<ul><li>
Amazon SageMaker</li><li>
S3, EC2, Lambda</li><li>
IAM, CloudWatch</li><li>
ECR, ECS or EKS</li></ul></li><li>
Understanding of secure and scalable AWS architecture</li></ul><h3 class="jobSectionHeader">
DevOps &amp; Automation</h3><ul><li>
Docker and containerization</li><li>
CI/CD using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline</li><li>
Infrastructure as Code (Terraform or CloudFormation)</li></ul><h3 class="jobSectionHeader">
Programming &amp; Data</h3><ul><li>
Strong Python programming skills</li><li>
Experience with SQL and working knowledge of NoSQL databases</li><li>
Experience handling structured and unstructured datasets</li></ul><h2 class="jobSectionHeader">
Good to Have</h2><ul><li>
Exposure to feature stores and data versioning</li><li>
AWS Associate-level certification</li><li>
Basic understanding of ML governance and compliance</li></ul>
kssbAC2wIO</div>

<div><h2 class="jobSectionHeader">Senior Data Scientist &ndash; GenAI</h2>
Experience: 5&ndash;7 Years 
Location: Cairo, Egypt (Onsite) 
Employment Type: Full-Time<h3 class="jobSectionHeader">
About the Role</h3>
NorthBay Solutions is seeking a Senior Data Scientist with strong expertise in GenAI and AI/ML. The candidate will build, fine-tune, and deploy AI/ML models, integrate them with enterprise systems, and support AI initiatives on cloud and hybrid infrastructures.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Build, fine-tune, and deploy Large Language Models (LLMs) including LLAMA, Mistral, and GPT.</li><li>
Implement Agentic AI, multi-agent systems, and RAG workflows.</li><li>
Design, develop, and deploy AI/ML models integrated with enterprise systems.</li><li>
Work with vector databases, LangChain, Langraph, and other GenAI toolchains.</li><li>
Apply advanced prompt engineering and Chain-of-Thought techniques.</li><li>
Deploy AI/ML models on cloud platforms (AWS, Azure, GCP) and maintain production pipelines.</li><li>
Contribute to CI/CD pipelines and DevOps practices for AI/ML solutions.</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
GenAI &amp; AI/ML Skills: 2&ndash;3 years hands-on experience with LLMs and GenAI applications.</li><li>
Programming &amp; ML Frameworks: Proficient in Python, TensorFlow, PyTorch.</li><li>
Data &amp; Database Skills: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB).</li><li>
API &amp; Integration: Experience with RESTful APIs, microservices, and model integration.</li><li>
Cloud &amp; Deployment: Hands-on experience with AWS SageMaker, Lambda, Azure ML, or equivalent.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Cloud certifications (AWS, Azure, or GCP).</li><li>
Agile/Scrum experience.</li><li>
Strong communication skills to bridge technical and business stakeholders.</li></ul>
VOolGsiiIj</div>

Senior Data Scientist – GenAI

Join NorthBay Solutions and explore 12   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

NorthBay Solutions

About Company

Senior Software Engineer (React + .NET)

Senior MLOps Engineer – AWS

Lead Data Scientist – GenAI

Data Engineer(Snow Flake)

Data Engineer(Snow Flake)

Senior MLOps Engineer – AWS

Senior Data Scientist – GenAI