Exadel
Machine Learning Engineer
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Machine Learning Engineer
role at
Exadel .
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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
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.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting, Information Services, and Software Development
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Machine Learning Engineer
role at
Exadel .
Get AI-powered advice on this job and more exclusive features.
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
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.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting, Information Services, and Software Development
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