Machine Learning Engineer

Why Join Exadel

Exadel is an AI-first global tech company with 25+ years of engineering excellence, 2,000+ professionals, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people — ambitious, collaborative, and constantly evolving.

About the Client

Our client is a global leader in the energy sector, specializing in both subsea and surface technologies. Their mission is to enhance the performance of the world’s energy industry. They achieve this by constantly challenging conventions and investing in over 20,000 employees across 48 countries. The company strives to provide an inspiring work environment, tackling some of the world's most complex technical and engineering challenges in collaboration with a truly global team

What You’ll Do

• Optimize ML models through hyperparameter tuning, feature engineering, and algorithm selection
• Collaborate with data scientists to translate prototypes into production-ready solutions
• Design and implement scalable ML pipelines for training, validation, and deployment
• Develop APIs and services to integrate ML models into enterprise applications
• Ensure robustness and reliability through testing, CI/CD, and best software engineering practices
• Monitor model performance in production and implement retraining or updates as needed
• Deploy solutions on cloud platforms (AWS, Azure, GCP) using containerization tools (Docker, Kubernetes)
• Manage infrastructure for data ingestion, model training, and inference at scale
  Apply model governance practices, including auditability, reproducibility, and compliance
• Collaborate with cross-functional teams and communicate results to technical and non-technical stakeholders
• Stay updated on ML engineering tools, frameworks, and deployment strategies, including deep learning, MLOps, and distributed computing technologies

What You Bring

• At least 5 years of experience in machine learning engineering, designing, building, and deploying advanced ML solutions
• Proven ability to develop ML systems addressing complex problems, preferably within the oil and gas industry
• Strong skills in Python (preferred), Java, SQL, or Scala, and experience with ML libraries such as scikit-learn, NumPy, Pandas, and joblib
• Hands-on experience with TensorFlow, PyTorch, ONNX, and modern MLOps tools like MLflow, Docker, Kubernetes, and Airflow
• Experience deploying ML models via APIs (FastAPI, Flask, TensorFlow Serving, or TorchServe) and managing end-to-end ML lifecycles
• Proficiency in SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra)
• Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and monitoring tools (Prometheus, Grafana, Seldon Core)
• Ability to manage project delivery, collaborate with cross-functional teams, and mentor junior engineers
• Strong academic background in Computer Science, Statistics, Mathematics, or a related quantitative field
• Awareness of Generative AI, foundation models, and LLMs, with motivation to stay current with ML trends

English level

Fluent

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.