Machine Learning Engineer

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Remote India, India

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AI/ML

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Cross Industry Solutions

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03/11/2025

Req. VR-118738

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Project description

We are seeking a skilled and domain-expert Machine Learning Engineer to develop and deploy data-driven solutions in the context of Digital Oilfield (DOF) systems. The ideal candidate will have a strong foundation in machine learning, model development, and data analytics, with the ability to apply these skills to subsurface and production engineering workflows.
This is a hands-on technical role focused on building ML models that enhance forecasting, optimization, and operational decision-making across complex oilfield environments. Experience with agent-based or generative AI systems is a bonus, but not a requirement.

Responsibilities
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Develop and maintain machine learning models tailored to oilfield data and engineering processes.

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Work closely with domain experts to understand workflows and identify ML opportunities across production, reservoir, and facility systems.

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Build, train, and deploy models for time series prediction, classification, anomaly detection, or clustering using structured and semi-structured data.

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Validate model accuracy and performance in real-world operational settings.

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Collaborate with software teams to integrate models into DOF platforms or dashboards.

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(Optional but valued) Explore the use of LLMs or agentic AI to support technical queries or enhance interaction with data systems.

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business trip to Kuwait

Skills

Must have

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Strong background in machine learning, data modeling, and applied statistics.

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Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.

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Familiarity with oilfield datasets, including production data, sensor logs, simulation outputs, or engineering inputs.

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Understanding of the challenges and context of oil & gas workflows, even if not from direct experience.

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Ability to collaborate with geoscientists, production engineers, or field operations teams to co-design effective models.

Nice to have

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Experience working with or developing for Digital Oilfield systems (DOF platforms, custom solutions, or commercial tools).

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Exposure to cloud platforms such as Azure (preferred) or AWS.

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Familiarity with Agentic AI frameworks (LangChain, CrewAI, AutoGen), or LLMs as a support layer in technical environments.

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Knowledge of MLOps practices or tools (e.g., MLflow, Airflow, or model deployment pipelines).

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Certifications:

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Azure Data Engineer or AI Engineer certifications are a plus, especially for roles involving cloud-based deployment.

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AWS experience is appreciated but not mandatory

Other
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Languages

English: C1 Advanced

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Seniority

Senior

Remote India, India

Req. VR-118738

AI/ML

Cross Industry Solutions

03/11/2025

Req. VR-118738

Apply for Machine Learning Engineer in Remote India

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