Software Lead

Not just a job, but a career

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries. 

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

About the Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

Job Title: AI Engineer / Senior AI Engineer

Experience:5+ Years in AI / ML Engineering

Location

Flexible / Hybrid / Onsite (as applicable)

Job Summary

We are seeking a highly skilled AI Engineer with strong hands-on experience in Machine Learning, MLOps, Generative AI, NLP, and emerging AI technologies. The ideal candidate will design, develop, deploy, and scale AI solutions from experimentation to production while collaborating with cross-functional teams.

Key Responsibilities

Machine Learning & AI Development

• Design, build, and optimize ML models for structured and unstructured data
• Implement supervised, unsupervised, and deep learning models
• Perform feature engineering, model evaluation, and hyperparameter tuning
• Translate business problems into scalable AI solutions

Generative AI & NLP

• Develop Generative AI solutions using LLMs (OpenAI, Azure OpenAI, Hugging Face, Anthropic, etc.)
• Build RAG pipelines, prompt engineering, fine-tuning, and embeddings
• Implement NLP solutions: text classification, NER, summarization, sentiment analysis, chatbots
• Optimize LLM performance, cost, latency, and safety

MLOps & Deployment

• Build end-to-end ML pipelines (training, validation, deployment, monitoring)
• Implement CI/CD for ML models
• Use model versioning, experiment tracking, and monitoring
• Ensure model reliability, scalability, and retraining strategies

Cloud & Infrastructure

• Deploy AI solutions on Azure / AWS / GCP
• Work with Docker, Kubernetes, and cloud ML services
• Optimize compute usage and cost management

Collaboration & Innovation

• Work with product, data, and engineering teams
• Mentor junior engineers and review code
• Stay updated with latest AI research, tools, and frameworks

Required Skills

Core Technical Skills

• Programming: Python (mandatory), SQL; basic Java/Scala is a plus
• ML Frameworks: Scikit-learn, TensorFlow, PyTorch
• NLP & GenAI: Transformers, Hugging Face, LangChain, LlamaIndex
• LLMs: GPT, Claude, LLaMA, Mistral (experience with APIs and self-hosted models)
• Data: Pandas, NumPy, Spark (preferred)

MLOps & DevOps

• MLflow, DVC, Kubeflow, Airflow (any)
• CI/CD tools (GitHub Actions, Azure DevOps, Jenkins)
• Docker, Kubernetes
• Model monitoring and drift detection

Cloud & Platforms

• Azure ML / AWS SageMaker / GCP Vertex AI
• REST APIs, microservices architecture

Preferred Qualifications

• Experience with enterprise-scale AI deployments
• Knowledge of Responsible AI, security, and compliance
• Exposure to vector databases (FAISS, Pinecone, Weaviate, Azure AI Search)
• Experience in AI cost optimization and performance tuning

Soft Skills

• Strong problem-solving and analytical thinking
• Excellent communication and stakeholder interaction
• Ability to work in fast-paced, evolving environments

Nice to Have

• Knowledge of Agentic AI frameworks
• Experience with multimodal AI (text, image, audio)
• Contributions to open-source or research publications

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.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!