Senior Machine Learning Engineer, Dow Jones
MLOps
€55-70k
Business news & financial information publishing
Open for applications
Business news & financial information publishing
1001+ employees
Open for applications
€55-70k
1001+ employees
Company mission
To deliver trusted news and data to help businesses and society make decisions for a better future.
Role
Who you are
- We are seeking a highly experienced and technically adept Senior Machine Learning Engineer to join our team
- This position Demands a strong blend of hands-on technical expertise, strategic thinking, and the
- A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related
- Quantitative field; a Master's degree or Ph.D. is a strong plus
- 2-4 years of professional experience in machine learning with a strong portfolio
- Of models deployed in a production environment
- Strong experience with LLMOps, including fine-tuning frameworks, prompt
- Engineering, and managing the lifecycle of large language models, as well as
- Experience in the development of agent and multi-agent systems
- Advanced hands-on experience with cloud-based data warehouse solutions
- Snowflake experience strongly preferred
- Proficiency in Python and SQL and deep, hands-on experience with ML
- Frameworks like TensorFlow, PyTorch
- A grasp of the broader data science toolkit, including libraries like Scikit-learn,
- Pandas, and NumPy
- Experience building and maintaining MLOps pipelines using tools like MLflow, or
- Airflow
- Experience with cloud platforms (AWS, GCP, or Azure) and large-scale data
- Processing frameworks like Spark or Dask is preferred
What the job involves
- In this pivotal role, you will own the entire lifecycle of MLOps from optimization to deployment, with a strong focus on LLMOps
- We are seeking a highly experienced and technically adept Senior Machine Learning
- Engineer to join our team. In this pivotal role, you will own the entire lifecycle of MLOps
- From optimization to deployment, with a strong focus on LLMOps. This position
- Demands a strong blend of hands-on technical expertise, strategic thinking, and the
- Ability to foster innovation within a dynamic environment
- You Will:
- Develop and manage LLM-based solutions, including semantic layer
- Development, fine-tuning, model evaluation, deployment strategies, and the
- Development of agent and multi-agent systems
- Own end-to-end ML model development, optimization, and deployment
- Ensure the scalability, efficiency, and reliability of ML pipelines
- Design and implement robust model monitoring and retraining strategies
- Optimize model inference and performance for production environments
- Collaborate closely with data scientists, engineers, and product teams to
- Integrate ML solutions
- Improve experimentation frameworks, model versioning, and A/B testing
- Strategies
- Ensure best practices in MLOps, including automation, reproducibility, and CI/CD
- For ML
- Contribute to architectural decisions and improve ML infrastructure
- Mentor and provide technical guidance to junior ML engineers
Our take
Dow Jones is a global leader in news and business intelligence, powering a range of well-respected brands, including The Wall Street Journal, Financial News, MarketWatch, and more. The company delivers its content to consumers through a range of formats, such as print, digital, mobile, and live events.
As companies seek to draw Millennials and Gen Z consumers to their platforms, adaptability is vital, since they are driving the demand for innovative tools and techniques, as the world evolves toward the digital-first era. Dow Jones has proven its ability to meet product optimization challenges with its reimagined Factiva offering that includes a list of new features, such as personalized results, an easy-to-use modern interface, and faster free-text search, all with a mobile-first design that adapts to any device.
The company has also focused on new product innovation by expanding its portfolio of capabilities and partnerships, further expanding into AI-powered personalization technologies and ongoing digital transformation. Already a powerhouse in the market, Dow Jones is well set to capitalize on future expansion and innovation opportunities.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Company benefits
- 20 weeks of parental leave
- 4 weeks of paid caregiver leave
- Up to 4 weeks of remote work per year
- 1 paid volunteer day annually
- $700 caregiver reimbursement
- Headspace emotional wellness membership
- ClassPass fitness and wellness membership
- Financial rewards for well-being activities
Company HQ
Theater District, New York, NY
Leadership
Almar Latour
(CEO)Before becoming the CEO of Dow Jones and Publisher of The Wall Street Journal, they were the Publisher of Barron’s Group and Executive VP of Dow Jones. They were also the previous Executive Editor of The Wall Street Journal.
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