Data science Jobs

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Data science

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🔥 Principal AI Engineer (Indonesia)

Posted 30 minutes ago

📍 Indonesia

🧭 Full-Time

🔍 Financial Services

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor's, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience as an AI Engineer, Principal Engineer, or Data Scientist, with a track record of leading successful AI projects.
Proficiency in AI and ML frameworks and programming languages (e.g., Python, TensorFlow, PyTorch, Scikit-learn).
Strong expertise in data preprocessing, feature engineering, and model evaluation.
Experience in deploying and optimizing AI models in a production environment.
Excellent problem-solving, analytical thinking, and debugging skills.
Strong leadership, communication, and team management abilities.
Passion for staying at the forefront of AI and machine learning advancements.

💡 Responsibilities

Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
Drive data-driven decision-making through advanced analytics and visualization techniques.
Ensure the security, scalability, and efficiency of AI solutions.
Lead research efforts to explore and integrate cutting-edge AI techniques

AWS Docker Leadership Python SQL Apache Airflow Artificial Intelligence Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms Data science REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Data visualization Team management Debugging

Posted 30 minutes ago

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🔥 ML/AI Engineering Manager, Computer Vision - UK/Europe

Posted 39 minutes ago

📍 UK

🧭 Full-Time

🔍 AI/ML

🏢 Company: Mimica

🔧 Requirements

Strong background as an applied AI/ML researcher, particularly in deep learning (ideally advanced NLP and/or Computer vision)
Proven track record in managing growing teams, including hiring, mentoring, and developing talent.
Background in high-impact Startups/Scale-ups, driving iterative development and rapid delivery.
Experience leading machine learning/data science technical initiatives, particularly in high-growth and large-scale production environments.
Deep understanding of good ML engineering practices, including MLOps, data engineering, and scalability.
Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions.
Drive to continually develop your skills, improve team processes and reduce debt.
Fluency in English, with effective communication skills: being able to articulate complex ideas and trade-offs clearly to a diversity of stakeholders.

💡 Responsibilities

Lead, nurture and scale a remote team of 5-8 members, including ML Engineers and Software Engineers, supporting their career development through 1:1s, coaching, mentorship, and performance reviews.
Leading project management discussions, coordinating and facilitating the Weekly planning and team meetings.
Collaborate with the CTO, Platform and Product to align team priorities with company OKRs.
Collaborate with the People team on recruiting and onboarding talent that matches our values and technical excellence by being a part of interviewing, debriefs, defining scorecards and onboarding plans.
Facilitate and lead discussions that drive the development and deployment of our new generation of ML models, optimizing tools and infrastructure for efficiency, while upholding engineering excellence.
Identifying and resolving bottleneck and efficiency blockers, enabling the team to iterate faster.
Championing initiatives to improve the quality, security and performance of our systems, processes and code.
Promoting a culture of collaboration, transparency, feedback and continuous learning.

Backend Development Docker Leadership Project Management Python Software Development SQL Agile Kubernetes Machine Learning Cross-functional Team Leadership Data engineering Data science Communication Skills RESTful APIs Mentoring Fluency in English Team management

Posted 39 minutes ago

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🔥 Machine Learning Engineer (Singapore)

Posted 40 minutes ago

📍 Singapore, Malaysia

🔍 Financial Services

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist.
Proficiency in AI and machine learning frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
Expertise in data preprocessing, feature engineering, and model evaluation.
Strong problem-solving and analytical thinking skills.
Effective communication and teamwork abilities.

💡 Responsibilities

Collaborate with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Manage the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
Optimize AI models for scalability, efficiency, and security.
Utilize data-driven insights and advanced analytics for continuous improvements.
Conduct research to explore and integrate innovative AI techniques.

Python Artificial Intelligence Machine Learning PyTorch Algorithms Data science Tensorflow RESTful APIs Data modeling Data analytics

Posted 40 minutes ago

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🔥 Machine Learning Engineer (Vietnam)

Posted 41 minutes ago

📍 Vietnam

🔍 Financial Services

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist.
Proficiency in AI and machine learning frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
Expertise in data preprocessing, feature engineering, and model evaluation.
Strong problem-solving and analytical thinking skills.
Effective communication and teamwork abilities.

💡 Responsibilities

Collaborate with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Manage the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
Optimize AI models for scalability, efficiency, and security.
Utilize data-driven insights and advanced analytics for continuous improvements.
Conduct research to explore and integrate innovative AI techniques.

Python Artificial Intelligence Machine Learning PyTorch Algorithms Data science Tensorflow Data visualization

Posted 41 minutes ago

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🔥 Principal Technical Product Manager, Personalization

Posted about 2 hours ago

📍 United States

💸 181705.0 - 227000.0 USD per year

🔍 Music

🏢 Company: Splice👥 101-250💰 $55,000,000 Series D about 4 years agoMedia and Entertainment Music Machine Learning Software

🔧 Requirements

7-10 years of experience leading AI/ML-driven personalization or search product development at scale, including direct experience with recommendation engines, search relevance, and ranking algorithms.
Expertise in search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning techniques.
Proven track record of driving business impact through AI-powered product initiatives, with experience influencing executives and aligning teams around a shared vision.
Strong analytical skills with experience designing and interpreting A/B tests, analyzing large data sets, and using data to drive decision-making.
Exceptional ability to partner with engineering, data science, design, and business stakeholders to deliver high-quality, scalable solutions.
Deep understanding of user behavior, design principles, and usability best practices in digital discovery experiences.

💡 Responsibilities

Envision and define personalized sound discovery experiences, tailored to each customer's intent, that operates seamlessly across Splice’s products.
Drive roadmap to implement recommendation experiences, invent ways to multiply the rate of innovation across the company on behalf of our customers.
Establish a robust experimentation framework, designing and implementing A/B tests to measure and optimize key performance metrics such as relevance, engagement, customer activation and retention.
Work with a team of engineers, data scientists, engineering managers, and designers to define and execute a product roadmap to understand customers' intent and help complete their sound discovery missions.
Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints.
Clearly communicate goals, requirements, roadmaps, and timelines to internal cross-functional in a fully remote environment.
Serve as a thought leader and technical expert, working closely with engineering and data science to develop cutting-edge recommendation experiences.
Monitor industry trends and advancements in AI, search, and recommendation systems, bringing innovative ideas to Splice to maintain a competitive edge.
Mentor and guide cross-functional team members, fostering a culture of excellence and high-impact execution.

Business Intelligence Data Analysis ElasticSearch Machine Learning Product Management Algorithms Data science Data visualization A/B testing

Posted about 2 hours ago

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🔥 Machine Learning Manager (Singapore)

Posted about 2 hours ago

📍 Singapore, Malaysia

🔍 Financial Services

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience in AI engineering, data science, or related roles, with leadership experience.
Strong proficiency in AI frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
Expertise in data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving and critical-thinking skills.
Effective leadership, communication, and team management abilities.

💡 Responsibilities

Lead and mentor a team of AI engineers, providing technical guidance and fostering growth.
Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Oversee the AI model lifecycle, including data collection, preprocessing, training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
Ensure AI solutions are scalable, efficient, and secure.
Utilize data analytics and visualization techniques for data-driven decision-making.
Conduct research and explore new AI methodologies and applications.

Leadership Python Machine Learning PyTorch Algorithms Data science Tensorflow Communication Skills Problem Solving Data visualization Team management Data analytics

Posted about 2 hours ago

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🔥 Machine Learning Manager (Indonesia)

Posted about 2 hours ago

📍 Indonesia

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience in AI engineering, data science, or related roles, with leadership experience.
Strong proficiency in AI frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
Expertise in data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving and critical-thinking skills.
Effective leadership, communication, and team management abilities.

💡 Responsibilities

Lead and mentor a team of AI engineers, providing technical guidance and fostering growth.
Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Oversee the AI model lifecycle, including data collection, preprocessing, training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
Ensure AI solutions are scalable, efficient, and secure.
Utilize data analytics and visualization techniques for data-driven decision-making.
Conduct research and explore new AI methodologies and applications.

Python SQL Artificial Intelligence Machine Learning PyTorch Algorithms API testing Data science Tensorflow RESTful APIs Data visualization Data analytics

Posted about 2 hours ago

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🔥 Lead AI Engineer (Vietnam)

Posted about 2 hours ago

📍 Vietnam

🔍 Financial Services

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience in AI engineering, data science, or related roles, with leadership experience.
Strong proficiency in AI frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
Expertise in data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving and critical-thinking skills.
Effective leadership, communication, and team management abilities.

💡 Responsibilities

Lead and mentor a team of AI engineers, providing technical guidance and fostering growth.
Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Oversee the AI model lifecycle, including data collection, preprocessing, training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
Ensure AI solutions are scalable, efficient, and secure.
Utilize data analytics and visualization techniques for data-driven decision-making.
Conduct research and explore new AI methodologies and applications.

Python Artificial Intelligence Machine Learning PyTorch Algorithms Data science Tensorflow Data visualization Data analytics

Posted about 2 hours ago

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🔥 Machine Learning Engineering Lead

Posted about 4 hours ago

📍 Argentina, Brazil, Chile, Ukraine, Poland

🔍 Insider Risk Management and User Behavior Analytics

🏢 Company: Teramind👥 51-100 Productivity Tools Security Cyber Security Enterprise Software Software

🔧 Requirements

7+ years of experience in machine learning or data science roles, with at least 3 years in a leadership position
Strong proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Proven track record of successfully deploying ML models into production environments
Experience with cloud-based ML platforms (e.g., AWS Sagemaker, Google AI Platform) and MLops practices
Solid understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
Excellent leadership and team management skills with the ability to inspire and motivate team members
Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
A degree in Computer Science, Engineering, Data Science, or a related field (Master’s or Ph.D. is a plus)

💡 Responsibilities

Lead and mentor a team of machine learning engineers, providing technical guidance and fostering a collaborative environment
Design, implement, and oversee the entire ML lifecycle, from data preparation to model deployment and monitoring
Collaborate with cross-functional teams to define project goals, communicate progress, and ensure alignment with business objectives
Stay abreast of industry trends and advancements in ML and data science, integrating new technologies and methodologies as appropriate
Drive continuous improvement in ML processes and practices, ensuring high standards of model performance, accuracy, and interpretability

AWS Leadership Python SQL Cloud Computing Data Analysis Machine Learning PyTorch Algorithms Data science Tensorflow Communication Skills Problem Solving Data visualization Team management

Posted about 4 hours ago

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🔥 Head of AI Engineer (Vietnam)

Posted about 4 hours ago

📍 Vietnam

🔍 Software Development

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects.
Proficiency in AI and machine learning frameworks and programming languages (e.g., Python).
Strong expertise in data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving and critical-thinking skills.
Effective leadership, communication, and team management abilities.

💡 Responsibilities

Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
Drive data-driven decision-making through advanced analytics and visualization techniques.
Ensure the security, scalability, and efficiency of AI solutions.
Lead research efforts to explore and integrate cutting-edge AI techniques.

Python Artificial Intelligence Machine Learning Data science

Posted about 4 hours ago

Apply

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