AI/ML Engineer

1 month ago

Delhi, India Intuitive.Cloud Full time
About us:Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.

Intuitive Superpowers:- DataOps & AI/ML- Cloud Native, AppSecOps, DevSecOps- Cloud Migration & Transformation- Cloud FinOps- Cybersecurity (App/Data/Infra) & GRC- SDx & Digital WorkspaceWe are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.

Title –

AI/ML Engineer (FinTech/ Energy, Oil & Gas)Start date: ImmediatePosition Type: Full-TimeLocation: Remote across India

AI/ML Engineer – (Fintech or Energy or Oil & Gas)

Job Overview:

Join our forward-thinking Energy, Oil & Gas team as a mid-level AI/ML Engineer, where you'll leverage cutting-edge artificial intelligence and machine learning to drive innovation across the entire value chain, including upstream, midstream, and downstream sectors. Your role will involve developing and implementing AI solutions that optimize exploration, production, distribution, and refining processes, significantly enhancing efficiency, safety, and sustainability. Collaborating with experts from various disciplines, you'll transform complex industry challenges into scalable, impactful AI-driven solutions.

Key Responsibilities:● Design and deploy machine learning models to improve oil and gas exploration and production, focusing on enhancing accuracy in seismic data interpretation and reservoir characterization.● Develop AI-driven solutions for predictive maintenance and anomaly detection in midstream operations, optimizing pipeline integrity and transportation efficiency.● Implement machine learning algorithms to enhance downstream operations, including refining processes optimization, demand forecasting, and energy management.● Conduct in-depth data analysis and feature engineering to extract insights from geological, sensor, operational, and financial datasets, driving decision-making and operational improvements.● Collaborate with cross-functional teams to integrate AI models into existing energy systems, ensuring seamless operation and scalability.● Continuously monitor, evaluate, and refine AI solutions, adhering to industry regulations and environmental standards.

Basic Qualifications:● Master’s degree in Computer Science, Engineering, Data Science, or related field, with a focus on AI/ML technologies.● 5+ years of experience in applying machine learning models and data science techniques in the energy, oil, and gas industry, with a well-rounded understanding of upstream, midstream, and downstream sectors.● Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).● Familiarity with geospatial analysis, time-series forecasting, and optimization algorithms relevant to the energy sector.● Experience with cloud computing platforms (AWS, Azure, Google Cloud) and knowledge of container technologies (Docker, Kubernetes) is advantageous.● Strong analytical skills, capable of handling complex data sets and translating them into actionable insights.● Excellent collaboration and communication skills, with the ability to work effectively in a multidisciplinary team environment.

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