Machine Learning Practice Leader Job at Provectus

Machine Learning Practice Leader

We are looking for a Machine Learning Practice Leader — a senior technical and p...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep understanding of Python best practices and ML design patterns
Proven experience across the full ML lifecycle: data preparation, model training, validation, deployment, and monitoring
Experience with deep learning model development and transformer architectures
Strong background in one or more domains: NLP, Computer Vision, Forecasting, Recommender Systems
Expertise in agentic workflows, RAG, and GraphRAG architectures
Practical experience with AWS or other cloud/open-source MLOps platforms
Hands-on experience with model post-production: monitoring, retraining automation, and maintenance
Familiarity with diverse data sources (OLTP, OLAP, DataLake, Streaming)
Experience in DataOps or MLOps is a strong advantage
Proven experience managing teams or departments in a technical environment

Job Responsibility

Build, lead, and mentor high-performing ML teams
Recruit, onboard, and coach new team members
Set objectives, conduct performance reviews, and drive career growth
Evaluate and improve delivery processes, ensuring consistency across projects
Collaborate with other managers and senior stakeholders across the company
Identify skill gaps, arrange training, and foster a culture of continuous learning
Ensure alignment with the company’s mission, vision, and values
Represent the company at conferences, meetups, and community events

What we offer

Attractive annual bonus based on performance
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Machine Learning Practice Leader

A Practice Leader is the first point of contact for their direct reports, and th...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Practical experience and strong understanding of Python patterns & best practices
Strong understanding of ML project lifecycle
Practical experience with creating training datasets involving human annotators
Experience with writing Deep Learning models from scratch
Experience in >1 of the following areas: NLP, CV, forecasting, recommender systems
Strong experience with agentic workflows, RAG architecture, and GraphRAG
Experience and in-depth understanding of transformers
Practical experience with /AWS/other cloud/open source alternatives/ MLOps platforms, frameworks, and libraries
Practical experience with model post-production & maintenance: model and data monitoring, retraining automation, etc.
Ability to make reusable components of ML pipelines

Job Responsibility

Build effective teams
Participate in meetups, conferences, and build community
Share best practices and culture with the team
Mentor engineers, coach Team Leads, and encourage others to share knowledge
Have technical excellence and be an influencer in different teams/projects
Hire and onboard newcomers
Conduct performance reviews, 1-on-1 meetings
Identify and address team gaps in knowledge
Evaluate, improve, and maintain processes
Сollaborate with other managers across the company

ML Practice Leader (GenAI)

A Practice Leader is the first point of contact for their direct reports, and th...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Practical experience and strong understanding of Python patterns & best practices
Strong understanding of ML project lifecycle
Practical experience with creating training datasets involving human annotators
Experience with writing Deep Learning models from scratch
Experience in >1 of the following areas: NLP, CV, forecasting, recommender systems
Strong experience with agentic workflows, RAG architecture, and GraphRAG
Experience and in-depth understanding of transformers
Practical experience with /AWS/other cloud/open source alternatives/ MLOps platforms, frameworks, and libraries
Practical experience with model post-production & maintenance: model and data monitoring, retraining automation, etc.
Ability to make reusable components of ML pipelines

Job Responsibility

Build effective teams
Participate in meetups, conferences, and build community
Share best practices and culture with the team
Mentor engineers, coach Team Leads, and encourage others to share knowledge
Have technical excellence and be an influencer in different teams/projects
Hire and onboard newcomers
Conduct performance reviews, 1-on-1 meetings
Identify and address team gaps in knowledge
Evaluate, improve, and maintain processes
Сollaborate with other managers across the company

Engineering Manager - Machine Learning

Plaid’s Data organization is building models, services and platforms that improv...

Location

United States , San Francisco

Salary:

268000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

7+ years of industry experience developing machine learning models from inception to business impact
Proven ability to tailor your solutions to business problems in a cross functional team
3+ years of experience in DS/ML managerial role
Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural network and natural language processing
Strong product intuition and excitement to work fast and iteratively
Proven track record of strategic influence by partnering with key stakeholders to shape and launch cutting-edge ML-driven products that drive revenue and market growth
Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Economics, or a closely related field

Job Responsibility

Leading a talented ML team that builds systems powering growth, personalization, and financial insights across CGX, EWA, and NEA
Working hands-on in ML model development and productionization, driving business impact
Partnering with product and platform teams to turn data and models into production features that reach millions of users
Shaping Plaid’s broader ML ecosystem by influencing technical standards, shared pipelines, and model development best practices
Growing as a leader who balances deep technical engagement with long-term organizational and strategic impact

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Engineering Manager - Machine Learning

Plaid’s Data organization is building models, services and platforms that improv...

Location

United States , New York

Salary:

268000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

7+ years of industry experience developing machine learning models from inception to business impact
Proven ability to tailor your solutions to business problems in a cross functional team
3+ years of experience in DS/ML managerial role
Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural network and natural language processing
Strong product intuition and excitement to work fast and iteratively
Proven track record of strategic influence by partnering with key stakeholders to shape and launch cutting-edge ML-driven products that drive revenue and market growth
Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Economics, or a closely related field

Job Responsibility

Leading a talented ML team that builds systems powering growth, personalization, and financial insights across CGX, EWA, and NEA
Working hands-on in ML model development and productionization, driving business impact
Partnering with product and platform teams to turn data and models into production features that reach millions of users
Shaping Plaid’s broader ML ecosystem by influencing technical standards, shared pipelines, and model development best practices
Growing as a leader who balances deep technical engagement with long-term organizational and strategic impact

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Safety Engineer Expert – Machine Learning - ISO 26262

As a Safety Expert for Machine Learning, you will address one of the most challe...

Location

Canada , Montréal

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Electrical/Computer Engineering, AI/ML Engineering, or a related discipline
Strong expertise in functional safety and AI/ML safety challenges, ideally in the context of automotive ADAS and autonomous systems
Advanced studies (PhD) in AI safety, ML validation, or related research areas are considered a strong asset
Solid understanding of machine learning model development, validation, and testing, and life-cycle data management
Practical experience applying STPA, FMEA, or similar system-theoretic hazard analyses to automotive or aerospace systems
Knowledge of emerging standards and guidelines for ML safety (e.g., ISO 21448 – SOTIF, ISO 8800, UL 4600)
Ability to bridge the gap between research and practical engineering implementation
Collaborative mindset, able to work across data, perception, and system safety teams

Job Responsibility

Researching, defining, and pioneering best practices and standards for the verification and validation of ML systems
Applying STPA and related system-safety techniques to identify unsafe control actions and derive ML-specific safety requirements
Collaborating closely with World Understanding and Behavior teams to define processes for data quality, model robustness, and Operational Design Domain (ODD)
Developing and formalizing novel safety arguments and evidence to support production-ready deployment of AI-based ADAS features
Acting as a thought leader, helping shape the integration of machine learning into safety-critical automotive systems

What we offer

Hybrid Work
Industry leading medical, dental, and vision Insurance
Access to a telemedicine service
RRSP program
Personal and sick days
Recreation room with pool table and foosball table

Fulltime

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...

Location

United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver

Salary:

210000.00 - 260000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

8+ years of professional experience in machine learning engineering or data science roles
Proven track record of designing and implementing ML systems at consumer tech scale and speed
Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
Understanding of ML methods at a fundamental level
Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
Technical leader who can identify both emergent technical opportunities and gaps relative to best practice

Job Responsibility

Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
Design, implement, and maintain robust evaluation frameworks
Develop novel new product experiences
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
Provide technical mentorship

What we offer

Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Bonus

Fulltime

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...

Location

United States; Canada

Salary:

189900.00 - 237400.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

6+ years of experience delivering end to end solutions that drive business growth
Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
Strong expertise creating custom embeddings from raw data sources
Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
Strong communication skills with technical and non-technical stakeholders
Background in consumer-facing products preferred
Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership

Job Responsibility

Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Machine Learning Practice Leader

Provectus

Location:

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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Machine Learning Practice Leader

Provectus

Location:

Category:IT - Software Development

Contract Type:B2B

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 11, 2025

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