Role: –Data Scientist
Bill Rate: $87/hour C2C
Location: Remote
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Skype
Direct Client Requirement
Job description:
Over 8 years of experience in ML and Data Engineering, with expertise in building and scaling ML and Data solutions. Proven track record in designing real-time Data and ML processing pipelines and contributing to impactful software products. Adept at applying object-oriented programming in Python and/or.Net, containerization, and CI/CD practices to enhance development efficiency.
Skills & Expertise:
· Machine Learning & AI
· Strong foundation in Azure Open AI and LLM prompt engineering.
· Proficient in machine learning algorithms, model development, and deployment using tools such as TensorFlow, PyTorch, and Scikit-learn.
· Experience building and optimizing AI models for production environments.
· Real-time Data Processing
· Skilled in building real-time data pipelines and scalable products using Azure technologies like Azure Data Factory and Logic App.
· Object-Oriented Programming
· Proficient in Python with extensive experience in object-oriented and functional programming, as well as code optimization.
· Build & CI/CD
· Practical experience with build processes, CI/CD pipelines, Bicep deployment, and container frameworks such as Docker and Kubernetes.
· Databases
· Hands-on experience with databases, including Kusto, CosmosDB, and Cosmos.
· Software Testing
· Strong emphasis on unit, functional, integration, and end-to-end testing to ensure software quality.
· Azure Stack
· Familiar with Azure services such as Azure Functions, Azure Queues, and Azure Container Apps.
· Alerting and Monitoring
· Knowledge of integrating AppInsight and Azure Monitoring to set up alerting systems and monitor application performance and health.
Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible
Srinivasa Reddy Kandi
Client Delivery Manager
Valiant Technologies LLC
Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law