Machine Learning Officer - Junior Job at Inetum (Lisbon)

Data Analyst Junior - Pricing

Location

Italy , Milano

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Master's degree in Statistics, Mathematics, Actuarial, Physics or Computer Science
Python, Sas\Sql
Office
Strong analysis, problem-solving, and communication skills
Curious about new approaches and committed to continually increase technical knowledge
Team spirit, self-motivation, and a proactive result-driven working style as well as ability to interact in a global work environment with people from different countries and cultures
Fluent in Italian and English

Job Responsibility

Data collection and preparation for further analysis and modelling
Develop and update statistical models for Motor products using advanced statistical techniques like GLM and ML approach
Analysis of classification based on technical features
Demand models with application of different algorithms
Tariff definition/revision based on evidence from statistical models
Assessment on a regular basis of the quality and correctness of the models
Data exploration to improve model predictiveness
Update of the portfolio analysis with the main KPIs to monitor the acquired portfolio
Data processing to support standard portfolio or ad hoc simulation and monitoring analysis

Fulltime

Junior Data Scientist

Aramark Sports + Entertainment is hiring a Junior Data Scientist - Oracle Park, ...

Location

United States , San Francisco

Salary:

70000.00 - 95000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field
equivalent practical experience may be considered
1–3 years of experience in an analytical or data science role
Proficiency in data manipulation and transformation using Python or R
Familiarity with SQL for data querying and analysis
Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling
Effective organizational and time management skills, with the ability to manage multiple projects simultaneously
Solid understanding of statistics, experimental design, and core data science concepts
Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences

Job Responsibility

Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences
Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations
Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations
Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants
Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives
Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist

What we offer

medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

R&D Scientist/Engineer

ARiA is looking for highly motivated self-starters and low-ego team players to j...

Location

United States , Madison; Alexandria; Seattle

Salary:

Not provided

Applied Research in Acoustics

Expiration Date

Until further notice

Requirements

Master’s degree or greater (Ph.D. is desirable) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience
Appropriate experience working in the field of signal processing in radar or sonar (waveform design, detection and classification, beamforming, etc.) and/or machine learning for acoustic or image data or AI (supervised and unsupervised learning, deep learning, kernel machines, latent semantic analysis, etc.)
Facility designing and developing code in modern programming/scripting languages such as C, C++, Java, Matlab, and Python
Exceptional ability and desire to acquire new knowledge and skills to solve challenges
Ability to work independently but collaboratively
Ability to manage multiple projects in a fast-paced professional office environment
Ability to communicate technical solutions to colleagues and customers
Superior oral and written communications skills
Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information

Job Responsibility

Formulation and prototype implementation of original concepts and algorithms in numerical modeling, sonar-signal processing, and/or machine learning/artificial intelligence (AI)
Testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation
Coordination with ARiA scientists and engineers in the development of algorithms and software products
Presentation of findings and results at scientific meetings and program reviews
Serving as a technical lead on projects by setting technical direction as well as mentoring and supporting the work of more junior colleagues
Supporting the transition of research algorithms to real-time operational prototypes through coordination with software engineers inside and outside of ARiA
Preparing documentation for customers to summarize design and status of software prototypes and products
Assisting with in-field integration, testing, and support, with some local travel required

Fulltime

Senior Robotics Software Engineer, Manipulation

As a Senior Robotics Software Engineer, Manipulation at Chef Robotics, you'll le...

Location

United States , San Francisco

Salary:

150000.00 - 260000.00 USD / Year

Chef Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field
7+ years of professional experience in robotics software development with focus on manipulation
Expert-level proficiency in Python and/or C++ with strong software engineering fundamentals
Deep understanding of both classical and machine/reinforcement learning approaches to robot manipulation
Extensive experience with robotic waypoint generation, path planning, and trajectory optimization
Proven experience leading and shipping complex robotics software projects
Strong background with common deep learning frameworks (TensorFlow, PyTorch)
Advanced knowledge of manipulation algorithms including grasping, placement, and dexterous manipulation
Experience with force control, impedance control, and compliant manipulation strategies
Understanding of contact dynamics and physics-based manipulation modeling

Job Responsibility

Lead the development of classical and ML/RL-based motion planning and manipulation algorithms that work reliably across thousands of different foods with varying physical properties (stickiness, density, viscosity, texture)
Design and implement novel algorithms to learn ingredient properties on-the-fly and intelligently adapt manipulation parameters in real-time
Develop robust manipulation strategies that can handle edge cases and unexpected ingredient behaviors
Incorporate new sensor data including force control, tactile feedback, and vision systems for enhanced manipulation precision
Develop sensor fusion algorithms that combine multiple data sources for improved manipulation decision-making
Implement real-time feedback loops that adjust manipulation parameters based on sensor input
Design calibration systems for accurate sensor-based manipulation control
Create diagnostic systems to monitor and validate sensor performance during manipulation tasks
Analyze manipulation performance across different ingredients and environmental conditions
Optimize manipulation trajectories and control parameters for maximum throughput while maintaining quality

What we offer

medical, dental, and vision insurance
commuter benefits
flexible paid time off (PTO)
catered lunch
401(k) matching
early-stage equity

Fulltime

Data Analytics Intern

KAIROS, Inc is searching for an energetic, experienced, and highly motivated Dat...

Location

United States , California

Salary:

20.00 USD / Hour

KAIROS Inc

Expiration Date

Until further notice

Requirements

Strong customer relations, analytics, and documentation skills
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft Office Suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently
Ability to multitask and meet competing, deliverable deadlines
Detail oriented
Excellent interpersonal and customer service skills
Excellent verbal and written communication skills to provide clear status and/or communicate issues
Ability to adapt to evolving technology

Job Responsibility

Provide Data Engineering support across various platforms, including Databricks, Advana, and Palantir Foundry, encompassing data ingestion, transformation, and pipeline optimization
Develop and maintain scalable data workflows to enable advanced analytics and machine learning initiatives aligned with organizational goals
Support Data Science projects by applying statistical modeling, machine learning, and AI techniques to solve complex problems and extract actionable insights
Learn and leverage tools within the Advana/Jupyter Data and AI ecosystem, contributing to innovation aligned with the NAWCAD Wolf Tech Roadmap
Collaborate with cross-functional teams to integrate data engineering and data science solutions into mission-critical applications
Document processes and best practices for reproducibility and knowledge sharing across teams

What we offer

Medical Coverage
Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
Health Savings Account with Contribution by Employer
401K Plan with Employer Matching
Annual Discretionary Bonuses
Paid Time Off
Eleven (11) Paid Holidays
Certification reimbursement program
Tuition Reimbursement Program
Paid Parental Leave

Parttime

Consultant, Advisors – AI & GenAI Consulting

Our Performance Analytics consultants are data-driven problem solvers who combin...

Location

Portugal

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Proven experience in designing, developing, and deploying Generative AI solutions, including working with large language models (LLMs), prompt engineering, and fine-tuning models for specific business use cases
Strong proficiency in Python and relevant AI/ML frameworks (e.g., Langchain, PyTorch, Google ADK)
Hands-on experience with cloud-based AI services (Azure OpenAI, AWS Sagemaker, Google Vertex AI) and integration into enterprise workflows
Solid understanding of machine learning, deep learning, and NLP techniques, with the ability to apply them to real-world problems
Familiarity with data engineering and big data tools (Spark, Databricks) to support scalable AI solutions
Ability to translate complex technical concepts into actionable insights for business stakeholders
Graduate Engineering with data and analytics experience in business intelligence or business translation
At least 2 years of relevant work experience in AI/ML roles
Proven experience collaborating with internal teams and external stakeholders to achieve shared objectives
Advanced Word, Excel, and PowerPoint skills

Job Responsibility

Support data-driven initiatives across Business Intelligence, machine learning, advanced analytics, and Generative AI by building robust models and leveraging cutting-edge tools to unlock measurable client value
Design methodologies tailored to client problem statements, applying critical thinking to account for internal and external constraints
Collaborate with Mastercard teams to understand client priorities, risks, and opportunities, ensuring alignment with business goals
Build trusted relationships with client stakeholders, acting as a strategic advisor and thought partner
Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
Maintain and share project resources and repositories in alignment with organizational best practices, ensuring proper version control, documentation, and accessibility for the team
Collaborate effectively with team members to identify trends, patterns, and anomalies, while independently driving analysis that supports project objectives—including leveraging Generative AI techniques where applicable
Engage with the client and drive internal workstreams, contributing to effective project execution and delivery
Contribute to Mastercard’s intellectual capital and innovation agenda, with a focus on advancing AI-driven and Generative AI solutions
Receive guidance from analytics leaders while actively mentoring junior consultants, fostering mutual growth and contributing to a high-performance culture

Fulltime

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Arrive, you will serve as a key technic...

Location

United States , Austin

Salary:

Not provided

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with ML ops, model serving and optimization
5+ years of experience with Python, object oriented programming and building highly scalable backend services
Expertise in frameworks like Sklearn, Pandas, Numpy
3+ years of experience with relational databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms like Statsig

Job Responsibility

Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the “gold standard” for ML engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
Own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers
Develop a thorough understanding of a domain and explain the behavior of and contribute to code bases that may be outside your domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices

What we offer

Comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours and more
Casual dress code
Convenient location close to the airport and downtown
Free on site parking
Fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through Employee Assistance Program

Fulltime

Military Writing Expert

We are hiring military writing experts to develop fine-tuned LLMs for national s...

Location

United States , St. Louis

Salary:

10000.00 USD / Month

Chameleon Integrated Services

Expiration Date

Until further notice

Requirements

10+ years as a military officer with intelligence, operations, aviation, or ground combat as your primary occupational specialty
One tour as an O-4 or higher in a General Officer-level command (e.g. G-level or J-level staff in an intelligence, operations, or plans directorate
Graduate of a joint or service intermediate-level school (e.g. Command and General Staff College)
Deep interest in AI / ML applications for national security purposes
A strong orientation towards outcomes and a history of being scrappy when it counts
Top Secret clearance or willingness to obtain one (preferred)

Job Responsibility

Audit and create high quality data related to military topics (written analyses of doctrinal, operational, and strategic documents) used to drive AI innovation
Interface with machine learning engineers to align on approaches to generative AI tasks like model comparison or prompt response pairs
Work with an operations team to improve overall workflows for generative AI tasks
Partner with product managers to provide user feedback on AI Defense Tools
Review and write analyses of doctrinal, operational, and strategic documents, which will later be used to train and evaluate AI models
Train and mentor junior AI writing specialists working on these projects
Regularly interface with machine learning engineers and operations teammates to optimize our workflows for improved model outcomes.

What we offer

Competitive Employee Health Insurance options including dental
100% company paid vision plan
401K plan with generous company match and no vesting period
100% company paid life insurance
100% company paid long and short-term disability insurance
Training allowance
PTO and more

Machine Learning Officer - Junior

Inetum

Location:
Portugal , Lisbon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 26, 2025

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Job Description:

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Job Posted:April 26, 2025

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