Head of Machine Learning Job at EarnIn (Bengaluru)

Head of Machine Learning

We are seeking an experienced and visionary Head of Machine Learning to lead and...

Location

United States , Mountain View

Salary:

414000.00 - 506000.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

MS or Ph.D. degree in Computer Science, Statistics or a related technical field, and or equivalent work experience
10+ years of experience in Engineering or Scientific domains
7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
Extensive breadth and depth of knowledge of machine learning algorithms
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Job Responsibility

Define and own the machine learning roadmap in alignment with business goals
Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems
Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
Collaborate with data engineers, product managers, and marketing to coordinate timely deployments from conception to release

What we offer

equity and benefits

Fulltime

Head of AI - Driving Innovation Across Product & Enterprise

At Volkswagen Group Innovation, we are pioneering the technologies that will def...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Successfully completed degree in Computer Science, Physics or Electronics with a strong academic background in Artificial Intelligence, Data Science, or a related field
Deep expertise in Artificial Intelligence, including machine learning, deep learning, and generative AI
A strong track record of leading AI teams and projects, ideally across both product development and enterprise transformation
Leadership experience in research, pre-development and development projects in the field of AI & Machine Learning
Experience in applying AI to real-world automotive or mobility products as well as enterprise systems (e.g., supply chain optimization, predictive maintenance, intelligent automation)
Experience working in international setups, collaborating across geographies and cultures
Strategic thinking, excellent communication skills in English C1 and German B2 and the ability to inspire and align diverse stakeholders

Job Responsibility

Managing and inspiring a group of AI developers working across international hubs as well as fostering collaboration with top experts and diverse stakeholders, aligning teams around strategic objectives
Developing with the team intelligence features and ensuring integration of AI into real-world automotive and mobility products
Bridging research and implementation by identifying promising AI technologies and ensuring their scalable deployment as well as engaging with internal and external partners to drive AI transformation
Product AI Leadership: Driving intelligent features in areas such as Autonomous Driving, Smart Cabin Experiences, and other next-generation mobility solutions
Enterprise AI Strategy: Leveraging AI to enhance efficiency, logistics, and production processes, unlocking new levels of operational excellence

What we offer

30 vacation days + 24.12. and 31.12. off
40-hour week
Company pension
Flexible working hours
Mobile working
Training and consulting offers
Special conditions for the purchase and leasing of vehicles
Bicycle leasing
Sabbatical program

Fulltime

Head of Engineering, Product AI

Atlassian is looking for a Head of Engineering to lead product AI feature develo...

Location

United States , Seattle; Mountain View; San Francisco

Salary:

251700.00 - 400000.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Over 8 years of experience in building and scaling engineering teams, specializing in Artificial Intelligence or Machine Learning domains
Extensive experience leading engineering teams, including managing managers of managers, and efficiently running organizations with 30+ engineers across multiple geographies
A track record of delivering high-quality AI solutions in a product-driven organization
Deep expertise in AI/ML technologies, particularly in quality assurance, testing, and validation
Previous experience collaborating with Engineering, Product Management, and Platform teams
Exceptional communication and leadership skills, capable of inspiring and guiding teams effectively
Strong problem-solving abilities and adaptability to thrive in fast-paced, collaborative environments
Demonstrated ability to manage complex projects and foster cross-functional collaboration
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Job Responsibility

Define and execute the engineering strategy for Product AI quality, ensuring alignment with Atlassian's AI vision and product roadmap
Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and technical excellence
Collaborate with cross-functional teams, including product managers, data scientists, and designers, to integrate personalized AI solutions into Atlassian's ecosystem
Oversee the development of frameworks and tools to evaluate and ensure the quality, fairness, and reliability of personalized AI models and systems
Drive the adoption of best practices in AI quality assurance, including rigorous testing, monitoring, and validation processes
Ensure the scalability, security, and ethical deployment of personalized AI technologies
Partner with product and engineering teams across geographies to integrate quality-focused AI solutions into Atlassian's suite of products
Act as a thought leader within the organization, advocating for responsible AI practices and continuous improvement in AI quality
Represent the Central AI team in external forums, showcasing Atlassian's commitment to AI quality and innovation

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...

Location

Sweden , Stockholm

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
Experience deploying AI-powered features into customer-facing SaaS platforms
Proven expertise in exposing ML inference via scalable, low-latency REST APIs
Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
Demonstrated ability to translate AI capabilities into product strategy
Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Job Responsibility

Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
Partner with the Domain Expert to formalize AI-driven rules within the BRD
Implement robust monitoring for model drift, bias, and performance
Develop and expose "explainability" endpoints for critical AI decisions
Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Head of Quality Engineering

At Fospha, speed and quality aren’t trade-offs — they’re the same thing. Our goa...

Location

India , Mumbai

Salary:

Not provided

Blenheim Chalcot

Expiration Date

Until further notice

Requirements

Senior leadership experience scaling QA or Quality Engineering functions, ideally across multiple geographies
Ability to drive transformation from traditional QA to developer-owned Quality Engineering and continuous delivery
Deep technical mastery in automation frameworks, data quality engineering, and ML validation
Understanding of how to validate GenAI-powered systems — including prompt resilience, output coherence, and model drift
Retain hands-on credibility — able to advise on tooling, review architecture, and guide senior engineers

Job Responsibility

Define and embed a unified QA strategy across software, data and ML pipelines — building on existing frameworks to drive measurable improvements in speed, quality and delivery confidence
Architect and execute systemic quality interventions — using real-time data and deep organisational observation to identify bottlenecks and rework process, tooling and team structures
Advance quality in GenAI-powered interfaces — pioneering validation strategies for conversational and emergent UIs where traditional testing is insufficient
Lead and grow a distributed QA team — evolving the current team into a global centre of excellence, embedding Quality Engineering expertise across all delivery teams
Own and communicate QA metrics — defining and reporting on speed, quality, rework and schedule achievement to drive visibility and strategic decision-making across the SLT

What we offer

Competitive salary
Be part of a leading global venture builder, Blenheim Chalcot, and learn from the incredible talent in BC
Be exposed to the right mix of challenges and learning and development opportunities
Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc
25 days of paid holiday + your birthday off
Free snacks in the office
Quarterly team socials

Fulltime

AI System Development Section Head

The AI Systems Development Section Head is responsible for leading and managing ...

Location

Egypt , Cairo

Salary:

Not provided

Giza Systems

Expiration Date

Until further notice

Requirements

Deep technical expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), data engineering and big data tools (e.g., Hadoop Eco-System, AirFlow, ELK Stack), and business intelligence platforms (e.g., Power BI, Tableau)
Familiarity with ML Platforms (DataRobot, Dataiku, Alteryx), Data Platforms (Cloudera Data Platform) and Cloud ML Engines. (e.g., Azure ML, Amazon Sage Maker)
Proven experience dealing with various multi-modal machine learning tasks and data types including tabular, time-series, image, GenAI, and text data
Proficient in Agile/Scrum methodologies and project management tools
Experience in driving process improvements and implementing best practices for AI systems development
Experience in a fast-paced, dynamic, and complex AI-driven product or service development environment
Proven experience in managing a team of 20-30 experts in AI, Data Science, Machine Learning, Data Engineering, and Business Intelligence
Strong problem-solving and critical-thinking skills, with the ability to address complex technical and organizational challenges in AI systems development
Excellent communication, interpersonal, and stakeholder management skills
Excellent team leading skills

Job Responsibility

Leading and managing a team of AI, Data Science, Machine Learning, Data Engineering, and Business Intelligence
Overseeing the successful development and delivery of innovative, AI-powered products and services, ensuring alignment with strategic business goals
Providing technical guidance, mentorship, and strategic direction to the diverse development team
Serving as a key liaison between the team and other business stakeholders

Fulltime

Head of Data Science

The ideal candidate will bring strong leadership experience in data science, str...

Location

United Kingdom , London

Salary:

Not provided

RedCloud

Expiration Date

Until further notice

Requirements

Significant experience as a senior leader in a data science or AI-related role, with a track record of managing multi-disciplinary teams and budgets
Deep technical knowledge of the entire data science lifecycle, including data engineering, machine learning, and MLOps
Proficiency in programming languages such as Python, R, or SQL, and experience with various data science and machine learning libraries
Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others
Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI)
Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL
Strong understanding of how to apply data science techniques to solve business problems and deliver tangible value
Excellent communication skills with the ability to build trust, influence stakeholders, and advocate for data-driven decisions
Proven ability to scope, design, implement, and evaluate data science projects to tight deadlines

Job Responsibility

Develop and implement data science and AI strategies, aligning them with company-wide objectives
Build, manage, and inspire a high-performing data science team through setting objectives, performance management, and talent development
Define the technical roadmap, champion best practices, and drive the transition to production-level machine learning engineering
Collaborate with senior leaders and other stakeholders to identify new opportunities and ensure data science solutions meet business needs
Oversee the design, development, and deployment of data science solutions, from research to production, and maintain a focus on innovation
Translate complex data science concepts into clear, compelling, and user-friendly information for various audiences, including senior leadership
Ensure data governance and ethics are embedded in organizational strategy and champion these principles across the company

What we offer

25 Days Annual leave, increasing to 26 days after 12 months in the business
Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
Healthcare Cashplan with Medicash
Private Healthcare with Aviva
Life Insurance with AIG
Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness
Stock / Equity

Fulltime

New

Head of Machine Learning

At Wiremind, the Data Science team is responsible for the development, monitorin...

Location

France , Paris

Salary:

Not provided

Wiremind

Expiration Date

Until further notice

Requirements

Master’s Degree in Data Science, Applied Mathematics or Computer Science with a minimum of 5 years of working experience
Strong technical background and master the full lifecycle of a data-science project
Familiar with MLOps concepts
2+ years experience in a management position
Result oriented and have a pragmatic approach to ML: testing and frequent deliveries of small incremental gains is preferred to a long tunneled research process
Enjoy mentoring junior colleagues, guiding them in their professional growth

Job Responsibility

Lead, mentor and grow the ML team, composed of members with various experience levels, ensuring high-quality delivery and team cohesion
Participate in shaping the ML roadmap, and be responsible for turning it into an actionable and achievable plan for the team
Drive execution and delivery: structure the team's work, ensure priorities are clear, coordinate efforts across stakeholders, and remove blockers
Collaborate closely with R&D, Product, and Data Engineering to translate business needs into scalable ML features
Oversee new client implementations, ensuring a smooth and robust integration of algorithmic components into our SaaS products
Ensure the reliability of our models in production, supervising monitoring, debugging, and continuous improvement efforts

What we offer

Training on demand
A hybrid policy: 2 days of remote work per week and the possibility to work occasionally from abroad
A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)
An annual budget for your IT equipment
A partnership with the People & Baby network of inter-company nurseries to help with childcare for children aged 0 to 3

Fulltime

Head of Machine Learning

EarnIn

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 21, 2026

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