1,363 Machine Learning Specialist jobs in Indonesia

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related quantitative field.
• Minimum of 3 years of professional experience in developing and deploying AI/ML models.
• Proficiency in programming languages such as Python, R, or Java, and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills for technical documentation and presentations.
• Proven ability to work effectively in a remote, collaborative environment.
• Fluency in English.

• Design, develop, and implement machine learning models.
• Analyze and interpret large, complex datasets.
• Perform feature engineering and data preprocessing.
• Evaluate model performance and optimize algorithms.
• Deploy models into production environments.
• Collaborate with engineering and product teams on model integration.
• Communicate technical findings and insights to stakeholders.
• Stay current with advancements in machine learning and AI.

• Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
• Proven experience in developing and deploying machine learning models.
• Strong programming skills in Python or R.
• Expertise in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies and cloud platforms.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation abilities.
• Ability to work effectively in a remote, collaborative environment.

Minimum Qualifications and Experience

The Requierement :

• Can communicate in English (basic communication)
• Have experience working professionally for at least 2 years
• Full remote work (WFH)
• Available during office hours
• No issues in working for financial services (banking, insurance, etc)
• Experience with deep learning and associated tools and technologies, demonstrated experience in Python and/or R
• Ability to understand business concerns and formulate them as technical problems that can be solved using data and ML
• Experience working with large data sets, coming from varied sources
• Ability to write clear and concise technical documentation

Job Description

We are hiring developers for projects with one of the biggest reputable conglomerates in Indonesia.

With us, you will be exposed to many exciting challenges and opportunities to grow through developing our websites, mobile apps, mobile websites, and applications across our business units.

Programming stack we are looking for :
Data Scientist

Do reach out to us if you believe you have the relevant skills, looking forward to working together with you

• Design, develop, and implement state-of-the-art NLP models.
• Preprocess and analyze large volumes of text data.
• Train, tune, and evaluate machine learning models for NLP tasks.
• Deploy models into production environments using MLOps practices.
• Collaborate with cross-functional teams to integrate AI features into products.
• Conduct research into new NLP techniques and algorithms.
• Write clean, maintainable, and well-documented code.
• Stay current with the latest advancements in AI and machine learning.

• Master's or PhD in Computer Science, AI, or a related field, or equivalent practical experience.
• Proven experience in developing and deploying NLP models.
• Strong programming skills in Python.
• Proficiency with ML frameworks (TensorFlow, PyTorch, Keras).
• Experience with NLP libraries (spaCy, NLTK, Hugging Face Transformers).
• Familiarity with cloud platforms and MLOps principles.
• Excellent analytical and problem-solving abilities.
• Strong communication and teamwork skills.

GroupM is the world's largest media investment company and a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for Manager. The role will be responsible to drive the development of digital marketing research as a form of service or product for clients as well as a tool to support the growth of digital business for GroupM agencies

Reporting of the role
This role reports to Mindshare Lead

3 Best Things About The Job

• Our ideal team member will have the mathematical and statistical expertise you'd expect.
• You will join a team of data specialists, but will "slice and dice" data using your own methods, creating new visions for the future.
• Insightful data to power our systems and solutions

In Three Months
In this role, your goals will be:

• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
• Implement analytical models into production by collaborating with software developers and machine learning engineers.

In Six Months

• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Analyse data for trends and patterns, and Interpret data with a clear objective in mind

In 12 Months

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the digital specialist team to strategize and execute the development of data products
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

What Your Day Job Looks Like At Mindshare

• Collaborate with connection planning and digital specialists to develop an understanding of needs
• Research and devise innovative statistical and machine learning models for data analysis

What You'll Bring

• Communicate findings to all stakeholders, using relevant data visualisations
• Enable smarter business processes—and implement analytics for meaningful insights
• Keep current with technical and industry developments

Minimum Qualifications

• Bachelor's degree in statistics, applied mathematics, or related discipline
• 5+ years' experience in data science
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition, recommendation engines and predictive modelling experience
• Experience with Power BI, Tableau, SQL, and programming languages (i.e., Java/Python/R, SAS)
• Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects

requisitionid:43174

Job Title:

Data Science Engineer

About The Role:

To apply data science techniques and machine learning algorithms to solve business problems, improve decision-making, and ensure the efficient deployment of models in production.

What Will You Do:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, andoror ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining validation strategies
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

What we are looking for:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.

Soft Skill Requirements:

• Strong problem-solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem-solving.

Technical Skill Requirements:

• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.

Pengalaman kerja minimal 2 tahun Pendidikan minimal S1, diutamakan Teknik Komputer, Informatika, Sistem Informasi, Ilmu Komputer. Menguasai Bahasa pemrograman seperti Phyton atau R