Senior Machine Learning Product Manager Job at Prima (Milan)

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building and deploying ML models in production
Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
Familiarity with evaluation and benchmarking frameworks for ML/LLM models
Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

Job Responsibility

Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
Optimize ML pipelines and data processing systems to operate efficiently at scale

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Compensation for this position includes a base salary, equity, and a variety of benefits

Fulltime

Senior Machine Learning Engineer

Providing the right track at the right moment for our users, notify to them the ...

Location

France , Paris

Salary:

Not provided

Deezer

Expiration Date

Until further notice

Requirements

At least 5 years of work experience in machine learning and models deployed in production
Fluent in at least one language in Python, Scala or Java
Already worked on a recommendation engine
Ability to take initiative, strong business sense and and innovative mindset
Fluent in English or French.

Job Responsibility

Look into the data, propose some Machine learning models and experiment to provide a technical solution to the product manager requirements
Code, deploy and monitor Machine learning models in production
Iterate on existing models to improve KPIs
Explore scientific literature, implement papers, design POC to explore innovative solutions to our users problems
Collaborate with our Research team on research project to build the future of the recommendation engine

What we offer

A Deezer premium family account for free
Access to gym classes
Deezer parties several times a year and drinks every thursday
Mental health and well-being support from Moka.Care
Allowance for sports, travelling and culture
Meal vouchers
Great offices always located in dynamic and attractive districts
Hybrid remote work policy

Fulltime

Senior Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is a key feature, our operation...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

MS degree or PhD degree in Computer Science or a related technical field
4+ years of experience in ML engineering
Strong programming skills in Python and data engineering skills
Extensive knowledge of machine learning algorithms
Hands-on experience on architectural patterns for large-scale software applications
Industry experience building and productionizing machine learning systems
Strong oral and written communication skills

Job Responsibility

Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

Senior Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is one of the key features, our...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

MS degree or PhD degree in Computer Science or a related technical field
4+ years of experience in ML engineering
Strong programming skill in Python and data engineering skills
Extensive knowledge of machine learning algorithms
Hands-on experience on architectural patterns for large-scale software applications
Industry experience building and productionizing machine learning systems
Strong oral and written communication skills

Job Responsibility

Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

Senior Product Manager - Data Intelligence

As the Data Intelligence Sr. Product Manager, your primary goal will be to build...

Location

Ireland , Cork

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

5+ years of experience in product management
Background in the retail industry, computer vision, machine learning and artificial intelligence development and delivery
Strong technical background with experience working with engineering teams to develop and launch software products including AI based solutions
Strong experience working with sales and marketing teams to develop collateral, go to market strategy and customer engagement
Strong analytical and problem-solving skills with the ability to use data to inform product decisions
Excellent communication and interpersonal skills, with the ability to build strong relationships with customers and internal stakeholders
Ability to work in a fast-paced, dynamic environment with a high degree of ambiguity and change

Job Responsibility

Conduct market, competitor and industry research, gather customer feedback, and use data-driven insights to inform product decisions
Define and prioritize product features and enhancements based on business value, technical feasibility, and customer needs
Collaborate with cross-functional teams to ensure successful product launches and revenue goals across all delivery vehicles including traditional reporting delivery through dashboards, an API, and an AI based customer facing solutions
Build and communicate product vision and roadmap to internal stakeholders and customers, and gather feedback to inform future product direction
monitoring product performance with data analytics to make informed product decisions
Build strong relationships with customers to understand their needs and use cases, and incorporate feedback into product development

Fulltime

Senior Product Manager

Lead the development and execution of our AI-powered products and analytics solu...

Location

United States

Salary:

Not provided

Follett Software

Expiration Date

Until further notice

Requirements

5+ years of product management experience
At least 2+ years focused on AI/ML products or data analytics platforms
Deep understanding of modern AI technologies including machine learning, agentic AI systems, generative AI, and their practical applications
Demonstrated ability to translate complex technical concepts into customer value and make data-driven product decisions
Thrives in fast-paced environments
Embraces challenges with a 'can-do' attitude
Strong problem-solving skills
Track record of successfully launching and scaling AI-powered or analytics products from 0-to-1 and beyond
Experience working with data science and engineering teams to ship products and deliver measurable business outcomes
Exceptional ability to work across product teams and functional areas to drive alignment on cross-product initiatives and platform strategies

Job Responsibility

Drive data-informed product strategy: Conduct quantitative and qualitative analysis of user behavior, product metrics, and market data to identify opportunities and validate hypotheses
Leverage machine learning insights and develop products that empower customers with actionable intelligence
Prioritize features based on customer value and business impact and collaborate with engineering and design to deliver exceptional AI-powered experiences
Shape cross-product strategy: Collaborate with stakeholders across product suites to identify opportunities for AI integration, ensure consistent user experiences, and build platform capabilities that unlock value across multiple products
Conduct market research and competitive analysis to inform product roadmap development and positioning
Drive execution excellence: Define success metrics and OKRs, manage cross-functional dependencies, and lead agile development processes to deliver high-quality products on schedule
Remove blockers and ensure alignment across engineering, design, and go-to-market teams
Communicate effectively and lead: Clearly articulate the product vision, provide direction to your team, and foster collaboration across functions
Measure success and iterate: Define, instrument, and analyze product performance metrics to understand impact and drive continuous improvement
Leverage experimentation frameworks to validate assumptions and optimize product experiences

What we offer

Comprehensive health care: Full health plan coverage (medical, dental, vision) and life insurance
Retirement planning with company match: 401(k) plan with matching contributions
Flexible time off: Flexible paid time off to maintain a healthy work-life balance
100% remote work: enjoy the flexibility of working from home with our fully remote work environment in the US

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Senior Machine Learning Engineer

Our Machine Learning Team is developing next-generation AI capabilities for High...

Location

Canada , Vancouver

Salary:

146000.00 - 220000.00 CAD / Year

Highspot

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in developing and deploying machine learning models and systems
Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.)
In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing
Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases
Strong problem-solving skills and ability to analyze complex data sets
Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders
An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals
Comfortable with modern open source technologies and tools
Passion to learn new technologies and infrastructure

Job Responsibility

Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability
Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings
Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills
Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting
Flexible PTO
Generous Holiday Schedule + 5 Days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
Flexible work schedules
Access to Coaches and Therapists through Modern Health
2 Volunteer days per year
Monthly transportation allowance for employees that work in our Vancouver Hub location
Employees are eligible to receive stock options

Fulltime

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Senior Machine Learning Product Manager

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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