Lead AI/ML Engineer

AI/ML Strategy & Solution Design Define the AI/ML strategy and roadmap for oil & gas solutions, aligning with Yokogawa’s digital transformation objectives.

Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.

Technical Leadership & Mentorship Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.

Advocate best practices in model development, version control, MLOps, and engineering excellence.

Data Pipeline & Model Lifecycle Management Oversee data gathering, cleaning, and preprocessing from diverse sources (e.g., sensors, IoT devices, DCS, SCADA systems).

Implement robust CI/CD pipelines to streamline model development, testing, deployment, and updates.

Optimization & Real-time Analytics Develop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.

Perform model performance tuning to ensure reliability and scalability under production environments.

Stakeholder Collaboration & Communication Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.

Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.

Compliance & Risk Management Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.

Proactively address potential risks related to data privacy, model bias, and operational safety.

Bachelor’s/master’s in computer science, AI, Machine Learning, or related field. 8+ years of hands-on experience in AI/ML, with at least 3 years in a senior or lead role.

Proven project delivery experience in industrial or energy sectors, with a preference for oil & gas.

Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and Keras.

Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.

Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.

Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.

Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.

Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.

Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.

with SCADA, DCS, PLCs, smart sensors, IoT platforms, and Historians.

Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.

Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job) Programming & Frameworks Languages: Proficiency in Python is essential; exposure to C++/Java or other languages is a plus.

ML Libraries: Expert-level knowledge of TensorFlow, PyTorch, Scikit-learn; familiarity with Keras, XGBoost.

MLOps & DevOps Experience with CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and version control (Git).

Exposure to logging, monitoring, and performance tuning tools to maintain high availability and performance of AI/ML solutions.

Cloud & Big Data Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.

Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.

Data Engineering & Integration Understanding of data ingestion workflows, ETL/ELT processes, and streaming data (Kafka, MQTT etc.).

integrating AI/ML solutions into existing industrial control systems and operational dashboards.

Personal Attributes (Special personal characteristics/ interpersonal skills) Consistently demonstrates exceptional technical skills, competence, and productivity.

Deeply passionate about transforming emerging technologies into practical, industrial solutions.

Possesses excellent communication and interpersonal abilities.

A fast learner with a strong aptitude for collaboration and teamwork.

Yokogawa is an Equal Opportunity Employer.

Yokogawa wants a diverse, equitable and inclusive culture.

We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status.

We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances.

Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

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