AI/ML Engineer (Mumbai) - Contractual (3 months)

Proximity Works; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

Proximity Works is seeking an AI/ML Engineer to develop and optimize machine learning models for advanced automation. This contractual role requires strong programming and statistical skills, along with experience in machine learning frameworks. Join a leading technology firm and contribute to projects impacting millions of users globally.

Benefits

Continuous learning opportunities

Engaging company talks with industry experts

Qualifications

• 3+ years experience in AI and Machine Learning.
• Proven experience as a Machine Learning Engineer or Data Scientist.
• Hands-on experience with cloud platforms and deploying models.

Responsibilities

• Designing and deploying machine learning models for various applications.
• Collaborating with teams to develop data-driven features and optimize models.
• Implementing scalable machine learning pipelines.

Skills

Statistical Analysis

Programming in Python

Machine Learning

Data Visualization

Cloud Platforms

Natural Language Processing

Education

Bachelor's or Master's in Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Git

Job description

AI/ML Engineer (Mumbai) - Contractual (3 months)

• We are looking for a Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.
• The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data.
• The candidate should also be able to execute tests and optimize Proximity's machine-learning models and algorithms.
• The ideal candidate will have a strong background in machine learning, data science, and software development and will work closely with our product, data science, and engineering teams to develop, deploy, and maintain machine learning models that drive our vision.

Responsibilities

• Designing, developing, testing, and deploying machine learning models for various applications.
• Collaborating with data scientists, software engineers, and product managers to develop data-driven features.
• Optimizing and improving the performance of existing machine learning models.
• Implementing and maintaining scalable machine learning pipelines and infrastructure.
• Analyzing and preprocessing large datasets to extract valuable insights and features.
• Staying updated with the latest developments in machine learning, deep learning, and related technologies.
• Conducting model training, validation, and performance evaluation to ensure models meet the required accuracy and reliability.
• Creating and maintaining documentation related to machine learning models, algorithms, and processes.
• Developing A/B testing frameworks and managing the deployment of models in production.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
• 3+ years of experience in AI and Machine learning.
• 1+ years of experience in GenAI.
• Proven experience as a Machine Learning Engineer, Data Scientist, or in a similar role.
• Strong programming skills in Python, R, or similar languages.
• Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, etc., and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with data preprocessing, data wrangling, and data visualization.
• Hands-on experience with SQL databases and API integration.
• Experience with text generation techniques, including language models like GPT.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production.
• Solid 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 work in a collaborative environment and communicate effectively with cross-functional teams.

Bonus Points

• 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.
• Experience with reinforcement learning, generative models, or unsupervised learning techniques.

Benefits

• Proximity Talks: Meet other designers, engineers, and product geeks and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About Us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We are headquartered in San Francisco with offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

We are Proximity, a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be significant. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

Here's a quick guide to getting to know us better: Watch our CEO, Hardik Jagda, tell you all about Proximity. Read about Proximity's values and meet some of our Proxonauts here. Explore our website, blog, and the design wing Studio Proximity. Get behind-the-scenes with us on Instagram! Follow @ProxWrks and @H.Jagda.