AI/ML Engineer

Proximity Works; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A tech consulting company in Singapore seeks a Machine Learning Engineer to develop data-driven AI systems. Responsibilities include designing and deploying machine learning models and collaborating with various teams. Candidates should have a degree in a relevant field, 3+ years of ML experience, and proficiency in Python. Join a dynamic team and benefit from continuous learning opportunities in a cutting-edge environment.

Benefits

Continuous learning opportunities

Engagement with industry professionals

Qualifications

• 3+ years of experience in AI and Machine Learning.
• At least 1 year of experience in Generative AI.
• Proficiency in programming languages such as Python or R.

Responsibilities

• Designing, developing, testing, and deploying machine learning models.
• Collaborating with cross-functional teams on data-driven features.
• Enhancing performance of existing machine learning models.

Skills

Machine Learning

Data Analysis

Python

Experience with TensorFlow

Collaboration

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

SQL databases

Job description

We are seeking a Machine Learning Engineer to develop efficient, data-driven artificial intelligence systems that enhance our predictive automation capabilities. As a Machine Learning Engineer at Proximity, you will leverage your expertise in statistics and programming to effectively evaluate, analyze, and structure large volumes of data. You will be responsible for designing, testing, and optimizing machine-learning models and algorithms, working closely with our product, data science, and engineering teams to create and maintain models that align with our vision.Your key responsibilities will include:- Designing, developing, testing, and deploying machine learning models for various applications- Collaborating with data scientists, software engineers, and product managers to integrate data-driven features- Enhancing the performance of existing machine learning models- Implementing and managing scalable machine learning pipelines and infrastructure- Analyzing and preprocessing extensive datasets to extract valuable insights and features- Keeping abreast of the latest advancements in machine learning, deep learning, and related technologies- Conducting model training, validation, and performance assessments to ensure accuracy and reliability- Creating and updating documentation related to machine learning models, algorithms, and processes- Developing A/B testing frameworks and overseeing model deployment in production environmentsTo qualify for this role, you need:- A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field- At least 3 years of experience in AI and Machine Learning- Minimum 1 year of experience in GenAI- Demonstrated experience as a Machine Learning Engineer, Data Scientist, or similar position- Proficiency in programming languages such as Python, R, or similar- Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, scikit learn, etc., including NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers)- Expertise in data preprocessing, data wrangling, and data visualization- Hands-on experience with SQL databases, API integration, and cloud platforms (AWS, GCP, or Azure)- Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods- Experience with version control systems (e.g., Git) and CI/CD pipelines- Ability to collaborate effectively in a team environment and communicate with cross-functional teamsPreferred qualifications include:- Knowledge of natural language processing (NLP) and its applications- Experience with MLOps tools and best practices for scalable model deployment and monitoring- Familiarity with data privacy and security regulations- Experience with real-time data processing and streaming technologies- Exposure to reinforcement learning, generative models, or unsupervised learning techniquesBenefits:As a part of Proximity, you will enjoy benefits such as:- Proximity Talks: Engage with other professionals in the industry and learn from experts- Continuous learning opportunities with a world-class team: Collaborate with top talents, challenge yourself, and acquire new skills regularlyAbout Us:Proximity serves as the trusted technology, design, and consulting partner for major Sports, Media, and Entertainment companies globally. Headquartered in San Francisco with offices in Palo Alto, Dubai, Mumbai, and Bangalore, Proximity has developed high-impact, scalable products used by 370 million daily users, with a cumulative net worth of $45.7 billion among client companies. Join our dynamic team of coders, designers, and experts to solve intricate problems and create cutting-edge technology at scale. As a Proxonaut, your contributions will significantly impact our success, allowing you to collaborate with seasoned leaders who have led multiple tech, product, and design teams. Explore more about us by watching our CEO, Hardik Jagda, sharing insights about Proximity, discovering our values, meeting our team members, exploring our website and blog, and getting a glimpse behind the scenes on Instagram! Follow @ProxWrks and @H.Jagda.,

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