Machine Learning Engineer (Sound Detection) Job at Sigma Software Group

Machine Learning Researcher Engineer

Machine Learning Engineer / Researcher at BoldVoice, you’ll play a critical role...

Location

United States , New York

Salary:

150000.00 - 220000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

At least 5 years of experience working on machine learning models in production environments, specifically training, fine-tuning, evaluating and directly implementing machine learning models, in the fields of Speech, NLP, and/or Vision
Experience in Automatic Speech Recognition (ASR) will be particularly useful, as will knowledge of phonetics and the ability to discern sounds and accents
Proficiency in Python and frameworks like TensorFlow, PyTorch, or similar
Up to date with latest developments in using LLM tools like Claude Code, Cursor, Codex or similar to rapidly prototype, and ship code quickly

Job Responsibility

Designing, training, and fine-tuning machine learning models for AI coaching, pronunciation feedback, and accent detection. This will include working on LLMs, speech models like Wav2Wec2.0, and multi-modal models like speech to speech models
Deploying these models into production environments for real-time and batch inference
Building reusable and organized data preprocessing pipelines for various data, including audio data, text data and more
Setting up automated evaluation systems to monitor model performance
Optimizing training workflows to reduce time-to-deployment

What we offer

Excellent fully paid health/vision/dental insurance
401K program
Help with relocation to NYC
Access to exclusive startup events, conferences and networks
Generous stock options

Fulltime

Senior Data Scientist - Digital / Device Intelligence

Socure is seeking a Senior Data Scientist to join our Digital Intelligence team....

Location

United States

Salary:

150000.00 - 185000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field
6+ years of experience in data science or applied machine learning, including experience working in production environments
Excellent SQL skills and extensive experience with large-scale databases and data modeling
Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data
Proficiency in Python and distributed computing tools (e.g., Spark, PySpark)
Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar
Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership
Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness
Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies
Strong judgment across data quality, model selection, and business impact tradeoffs

Job Responsibility

Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics
Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data)
Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse
Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques
Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning
Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust
Contribute to team standards for ML explainability, risk evaluation, and feature logging
Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences
Mentor junior data scientists and participate in cross-functional working groups

What we offer

Offers Equity
Offers Bonus
total rewards package includes equity, benefits, and an annual bonus or a commission plan
A collaborative and inclusive work environment that fosters learning and growth
Opportunities to grow into staff-level or technical leadership roles over time

Fulltime

AVP - Fraud Operations Sr Analyst

The Fraud Ops Sr Analyst is a senior level positions responsible for contributin...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4-7 years of relevant experience in fraud risk management, fraud analytics, or digital banking risk within a financial services or regulated environments
Intermediate to senior level experience in a similar position preferred
Strong understanding of digital banking customer journeys and online/mobile fraud typologies
Experience working with commercial digital fraud monitoring platforms or behavioral risk technologies e.g. Threatmetrix, BioCatch etc
Knowledge of Machine learning, behavioral and rule‑based fraud detection approaches
Experience in trend analysis and alerts in early fraud detection
Strong analytical skills with the ability to translate data insights into actionable monitoring recommendations
Effective written and verbal communication skills
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Solve complex fraud prevention and loss control issues with significant cross-departmental and departmental impact
Support fraud detection and monitoring activities across digital access channels, including desktop web, mobile web, and native mobile applications
Monitor and analyze fraud risks associated with digital banking activity, including account takeover, social engineering and scam‑related fraud, suspicious device or session behavior, and unauthorized customer profile or payment‑related changes
Analyze fraud risk across multi‑step digital journeys using behavioral, device, and session‑level indicators rather than isolated transactional events
Develop data‑supported recommendations to improve fraud detection effectiveness and reduce unnecessary customer impact
Conduct post‑implementation analysis to assess strategy performance and control outcomes
Partner with Technology and data teams to support strategy implementation, rule changes, data feed validation, and platform optimization initiatives
Prepare clear and accurate reporting and analytical insights for fraud risk management and governance forums
Highlight material risks, emerging themes, and anomalies through structured analysis and timely escalation
Collaborate with fraud operations, investigations, digital product teams, technology, and data partners to support effective digital fraud risk management

Fulltime

Digital Software Engineering Senior Group Manager – Head of Quality & Performance Engineering

We are seeking a visionary and experienced Digital Software Engineering Senior G...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant experience, with significant time in a product line management, e-commerce, or strategic planning role
Proven track record of managing the full SDLC for large-scale, complex software projects and succeeding in delivering high-quality technology products/services in a high-growth environment where priorities shift rapidly
Extensive experience in designing and implementing CI/CD pipelines and automated testing frameworks
First-class leadership, influencing, and talent management skills, with significant experience managing and developing a Software Engineering Team
Ability to use hard data and metrics to back up assumptions and develop business cases
Deep understanding of various testing methodologies, including performance, functional, and non-functional testing
Strong knowledge of agile development methodologies (Scrum, Kanban) and modern software architecture patterns
Familiarity with AI/ML concepts and their application in software development is highly desirable
Excellent communication and negotiation skills, with experience negotiating internally at a senior level
Bachelor’s/University degree required

Job Responsibility

Lead an AI-first testing strategy to transform quality engineering across applications and platforms
Leverage AI to generate test cases, predict risks, accelerate defect detection, and enable synthetic data generation for comprehensive testing
Implement AI-powered solutions & automation for functional, integration, smoke, and performance testing, as well as self-healing automation
Enable developers to incorporate testing as part of the development lifecycle, including integration and smoke tests within the pipeline
Maximize test coverage and reliability by leveraging AI tools and techniques
Drive the adoption of autonomous, self-healing testing in the code and deployment pipeline to enhance speed, quality, and release confidence
Synthetic test data management
Oversee the end-to-end Software Development Lifecycle (SDLC), implementing best practices for agile development, continuous integration, and continuous delivery (CI/CD)
Design, build, and manage a highly automated testing pipeline that enables rapid, high-quality releases
Champion a "shift-left" approach to quality, embedding testing throughout the development lifecycle

Fulltime

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

India , Mumbai

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

United Kingdom , Leeds

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

New

Senior Electrical Engineer

CTP TEAM is an international engineering company based in Bergamo (Lallio) Italy...

Location

Italy , Lallio

Salary:

45000.00 - 55000.00 EUR / Year

CTP Team

Expiration Date

Until further notice

Requirements

All candidates must already be legally resident on Italian soil
at least 6+ years prior experience in electrical engineering gained within technical departments of companies operating in the electrical, mechanical, automation, industrial plant engineering, or similar sectors
appropriate educational qualification such as a degree in Electrical Engineering, Industrial Automation, Mechatronics, or a post-diploma technical qualification supported by relevant experience
good working knowledge of the English language
mandatory availability for frequent short on-site trips within Italy and abroad (up to 40% of working time especially during the site activity period)
Design of electrical systems: medium-voltage installations, MV/LV transformers, LV switchboards, motor control centres (MCC), single-line diagrams, supervision and control systems for electrical plants
Knowledge of power generation systems
Preparation of procurement requests for MV/LV electrical systems and switchboards
Technical alignment with suppliers to obtain consolidated offers for MV/LV switchboards
Management and development of MV/LV electrical system and switchboard projects

Job Responsibility

Will manage the electrical scope of supply within assigned projects, maintaining a proactive and direct relationship with clients and suppliers
Will identify all opportunities to reduce electrical supply costs
Will ensure that the project scope is completed in accordance with contractual obligations, coordinating closely with the procurement department and external suppliers
Will be responsible for anticipating potential risks related to the electrical portion of the project and defining corrective actions where needed
Will review layouts and technical drawings, verifying compatibility with the mechanical design and monitoring the proper execution of development activities
Will manage the preparation of all key project documentation, including single-line diagrams, lists (consumption lists, cable lists, etc.), layouts, and any additional schematics required for the successful progress of the project
Will be proactively involved from the bidding phase through project delivery, commissioning, and final handover to clients
Will provide support to the after-sales department when required
Will assist the sales department during tendering activities by estimating costs and timelines for potential projects

What we offer

Smart Working up to 1 day a week available for the position after probation
Flex Time, 07.00-10.00 /16.00-19.00 Monday to Friday
Electronic Ticket Restaurant: € 8
Extra Care-giving Hours: 16 hours a year paid leaves for caregiving/volunteering activities
Welfare Plan: € 250,00 a year net value as current Regulation
Medical examinations: paid leave up 2 hours for medical examination
daily travel allowance when away

Fulltime

New

Urgent Care Nurse Practitioner/Physician Assistant

Come experience an exceptional primary care delivery model at One Health! One He...

Location

United States , Rural Hall

Salary:

54.90 - 82.35 USD / Hour

Advocate Aurora Health

Expiration Date

Until further notice

Requirements

Board Certified/Board Eligible Nurse Practitioners
Board Certified/Board Eligible Physician Assistants
Board Certified/Board Eligible Nurse Midwives
Passionate about providing patient-centered care across the wide spectrum of primary care conditions within a practice
Focused on collegiality, professionalism, compassion, personal growth and leadership development
Ability to perform common outpatient procedures desired

Job Responsibility

Delivery of patient-centered primary care throughout the Piedmont of North Carolina
Imbedded urgent care clinics providing care 7 days/week
Outpatient primary care with telephone call that averages once every 30 days

What we offer

Paid Time Off programs
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits such as adoption assistance and paid parental leave
Defined contribution retirement plans with employer match and other financial wellness programs
Educational Assistance Program
Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training
Premium pay such as shift, on call, and more based on a teammate's job
Incentive pay for select positions
Opportunity for annual increases based on performance

Fulltime

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Machine Learning Engineer (Sound Detection)

Job Responsibility

Requirements

What we offer

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