Machine Learning Engineer

What Were Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role
Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment
Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.
Experience working with natural language processing (NLP) or computer vision is highly desirable.
Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.
Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.
Familiarity with data architecture, data engineering, and data pipeline tools.
Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.
Bachelors/Masters degree in Computer Science, Data Science, Mathematics, or a related field.

What Youll Be Doing

Algorithm Development:
Design and implement advanced machine learning algorithms tailored for our datasets.
Model Creation:
Build, train, and refine machine learning models for business integration.
Collaboration:
Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.
Industry Innovation:
Stay updated with Insurtech trends and ensure our solutions remain at the forefront.
Validation:
Test algorithms for accuracy and efficiency, collaborating with the QA team.
Documentation:
Maintain clear records of algorithms and models for team reference.
Professional Growth:
Engage in continuous learning and mentor junior team members.

At OIP Robotics, we care about our employees and offer a range of benefits to support their well-being, growth, and work-life balance. Join our team and enjoy the following benefits

• Continuous Education
• Education Day Off
• You will be covered under employee medical insurance cover benefits as per Company policy.
• Vacation & Paid Time Off
• Weekday Working Hours
• 8-Hour Shifts
• Wedding Time Off
• Team Buildings
• Private Health Insurance
• Birthday Gift Card
• New Year Gift Card