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AI/ML Engineer
iLink Digital
posted 17d ago
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Flexible timing
Key skills for the job
Job Description
22Job_Description":"
About The Company:
iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.
What makes iLinks offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.
Requirements
Key Responsibilities
AI/ML Development:
Design, develop, and deploy AI/ML models (e.g., PINNs, RNNs, Gradient Boosting ) to simulate, predict, and optimize drilling fluid performance.
Develop real-time anomaly detection systems for sensor data from drilling operations.
Implement time-series analysis models for monitoring and forecasting drilling fluid properties.
Data Management:
Integrate and manage large-scale data from various sources (sensors, lab results, historical data) into Azure Data Lake or Synapse Analytics.
Perform data cleaning, preprocessing, and exploratory analysis to identify actionable insights.
Cloud Integration:
Deploy and scale AI solutions using Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Stream Analytics.
Build and automate workflows using Azure Logic Apps and IoT Hub for seamless integration with drilling systems.
Collaboration and Reporting:
Work closely with cross-functional teams, including drilling engineers, data scientists, and IT specialists, to understand requirements and deliver tailored solutions.
Provide detailed reporting and visualization using Power BI to communicate results and insights effectively.
Continuous Improvement:
Monitor AI model performance using Azure Monitor and incorporate feedback to refine and improve predictions.
Stay updated with the latest trends in AI/ML and cloud technologies to implement innovative solutions.
Required Qualifications
Education:
Bachelor or Master degree in Computer Science, Data Science, Engineering, or a related field.
Experience:
6+ years of experience in AI/ML development, with at least 2 years in the oil and gas industry or related fields.
Strong background in predictive modeling, simulation, and optimization of fluid systems.
Technical Skills:
Proficiency in Python, TensorFlow, PyTorch, and scikit-learn for AI/ML model development.
Expertise in Azure services, including Azure Machine Learning, Data Lake, Synapse Analytics, and IoT Hub.
Familiarity with time-series analysis tools (RNNs, LSTMs) and physics-informed modeling (PINNs).
Soft Skills:
Strong analytical and problem-solving skills.
Excellent communication skills for collaborating with technical and non-technical teams.
Employment Type: Full Time, Permanent
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What people at iLink Digital are saying
What iLink Digital employees are saying about work life
based on 127 employees
Flexible timing
Monday to Friday
No travel
Night Shift
iLink Digital Benefits
Submitted by Company
Continuing Education Reimbursements and In-House Technology Training Competitive salaries Medical, Dental, Vision Insurance Pre-Paid Commute Options 401K With Generous Company Match
Submitted by Employees
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