Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

WHO WE ARE As the largest private-sector power producer in the world and the nation's largest producer of clean and r...

Fulltime Data Science Ai

$116k - $174k · Senior Fully remote

Mission: We are seeking a skilled and motivated Data Scientist to join our team and contribute to the development, im...

Machine Learning Data Science Ai

Fully remote

Join Data & Analytics as Data Scientist and help build the next generation of data and AI-driven solutions. What will...

Fulltime Ai Machine Learning Data Science

Fully remote

Tel Aviv · Hybrid | Full-Time | Cybersecurity What You'll Do: Design and develop LLM-powered security features and in...

Ai Ai Engineer Mlops Generative Ai

Fully remote

Location – Bucharest,Timisoara,Cluj,Sibiu Business Unit – ADM Today, the corporate landscape is dynamic and the world...

Ai Engineer Robotics Ai

Fully remote

Ubicación: Madrid (Modelo presencial preferente con alta flexibilidad a negociar) Compensación: 70.000 EUR - 90.000 E...

Fulltime Ai Ai Engineer

Fully remote

Network Plus is one of the UK's leading providers of essential utility and infrastructure services, delivering critic...

Ai Ai Engineer

Fully remote

Artificial Intelligence Engineer Work Location: Dubai, United Arab Emirates DigitalQatalyst is seeking a highly motiv...

Fulltime Ai Ai Engineer Generative Ai

Fully remote

Mission: As a Data Scientist specializing in LLM you will be responsible for developing, implementing and optimizing ...

Remote Machine Learning Data Science Generative Ai

Fully remote

Sr. Director of Engineer - AI Practice Who We Are Solera is a global leader in data and software services that strive...

Fulltime Ai Ai Engineer

$235k* · Senior Fully remote

2026/06 | Milan IFOM is an internationally recognized non-profit cancer research institute supported by the Italian A...

Fulltime Ai Ai Engineer Data Science

$49k - $60k* · Senior Fully remote

Senior Data Scientist At a glance Do you want to shape how AI transforms the banking industry? Are you passionate abo...

Ai Machine Learning Data Science Generative Ai

Fully remote

Are you interested in how to build AI reasoning systems that give provably correct answers? Are you excited by scienc...

Fulltime Ai Robotics Generative Ai

Fully remote

Excited about AI? At ZDF Sparks, we focus on making AI tangible, turning complex ideas into reliable tools for our cl...

Fulltime Ai Ai Engineer

Fully remote

We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on help...

Remote Ai Machine Learning

Fully remote

We’re looking for an AI Engineer to help us build and scale the next generation of AI-powered systems at Starbridge. ...

Fulltime Remote Ai Ai Engineer

$120k - $140k* · Senior Fully remote

Lead AI Engineer We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Lear...

Ai Ai Engineer Machine Learning Generative Ai

Fully remote

Gen AI Engineer Exp Required – 8 years Plus Location: London About the Job you are considering: We are seeking a Seni...

Ai Ai Engineer Data Engineer Generative Ai

$250k* · Senior Fully remote

About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Bi...

Fulltime Ai

Fully remote

Company Description: Crown Equipment Corporation is a leading innovator in world-class forklift and material handling...

Data Science Mlops Data Engineer Ai

$401k* · Senior Fully remote

Selected role

Sr Data Scientist

Constellation Energy Hurstbourne Acres, KY, US

$116k - $174k Senior Full-time

Overview:

WHO WE ARE

As the largest private-sector power producer in the world and the nation's largest producer of clean and reliable energy, Constellation is focused on our purpose: lighting the way to a brilliant tomorrow for all. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. Now integrated with Calpine, our portfolio includes 55 gigawatts of capacity from nuclear, natural gas, geothermal, hydro, wind and solar facilities, with the generating capacity to power the equivalent of 27 million homes.

Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things. Join us in meeting the country's energy needs today and tomorrow.

TOTAL REWARDS

Constellation offers an extensive selection of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and a wide-range of benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, eligible employees are offered a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including robust wellbeing programs; disability and life insurance benefits; paid time off for vacation, holidays, and sick days; and much more.

Expected salary range of $130,500 to $145,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).

Responsibilities:

PRIMARY PURPOSE OF POSITION

Apply the appropriate data science or analytical methods to extract knowledge and insights from data, which may take the form of time-series (power plant equipment data, environmental data or other), structured (relational data stores), and unstructured (text and multi-media) data sets. Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision making. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Mine big and small data for insights, using advanced statistic and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. Fill role of a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from a variety of internal and external sources. Produce novel insights to help inform business actions using statistical modeling and machine learning techniques on complex data-sets on the order of several terabytes or petabytes.

PRIMARY DUTIES AND ACCOUNTABILITIES

Develop key predictive models that lead to delivering reduced overall annual expense for nuclear, performance improvement, and optimize specific performance criteria. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed.
Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but not limited to Python, R, Scala, or equivalent; Spark, Hadoop file system and others
Access and analyze data sourced from various Company systems of record. Support the development of strategic business and program implementation plans.
Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems.
Provide expert data and analytics support to multiple business units
Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities.

MINIMUM QUALIFICATIONS

Education: Bachelor's degree in a Quantitative discipline. Ex: Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or related field
Experience: Between 5-8 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze large datasets and extract actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
Analytical Abilities: Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.).
Communication Skills: Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills.

Qualifications:

PREFERRED QUALIFICATIONS

Education:
- Masters, or PhD in a Quantitative discipline.
Experience:
- Strong Python proficiency with scikit-learn, pandas, numpy
- 3+ years experience building and shipping real-world business applications of classification/regression models in production
- Expertise in feature engineering and model evaluation and tuning
- Experience with MLOps tools (MLFlow or Azure ML)for model tracking and deployment
- Ability to communicate technical concepts clearly to non-technical stakeholders
- Familiarity with time series or volatility analysis , clustering, decision tree learning, artificial neural networks etc.
- Experience with imbalanced classification problems
- Nice to have - Domain knowledge in energy, finance, or commodity pricing

Showing 261–280 of 11,186 AI roles

1 … 12 13 15 16 560

Find your next AI role

Sr Data Scientist

Data Scientist

Data Scientist

Senior AI Engineer

AI Engineer

Founding Senior Applied AI Engineer

AI Engineer

AI Engineer

Data Scientist | LLM Engineer

Sr.Director of AI Engineering

AI Engineer

Senior Data Scientist

Sr. Applied Scientist, Amazon Robotics

(Junior) AI Engineer

Senior Machine Learning Engineer, AI Platform

AI Engineer | EMEA/LATAM

Lead AI Engineer

Gen AI Engineer

Senior Research Scientist, Mathematical Foundations

Senior Data Scientist