Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

Job Summary:

We are seeking a highly skilled and motivated Machine Learning Engineer with expertise in machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP). The ideal candidate will have a strong background in developing and implementing ML/DL models to solve complex problems and drive innovation in our projects.

Key Responsibilities:

• Develop and Implement ML/DL Models: Design, build, and deploy machine learning and deep learning models for various applications in computer vision and natural language processing.
• Research and Development: Stay updated with the latest advancements in ML, DL, CV, and NLP. Implement cutting-edge techniques to solve challenging problems.
• Data Analysis: Perform data collection, pre-processing, and analysis to prepare datasets for training and testing models.
• Collaborate with Teams: Work closely with cross-functional teams including data scientists, engineers, and product managers to understand requirements and deliver solutions.
• Performance Optimization: Optimize and tune models for performance, accuracy, and scalability.
• Documentation and Reporting: Document methodologies, processes, and results. Communicate findings and progress to stakeholders.

Qualifications

Educational Background:

• Bachelor’s degree in computer science, Engineering, Mathematics, or a related field with at least 4 years of relevant work experience.
• Master’s degree in computer science, Engineering, Mathematics, or a related field with at least 2 year of relevant work experience.
• Research degree (MS by Research) or Ph.D. in a related field.

Technical Skills:

• Solid programming skills in Python.
• Familiarity with data manipulation and analysis libraries such as Pandas and NumPy.
• Strong proficiency in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
• Knowledge of popular machine learning algorithms and techniques.
• Deep understanding of deep learning architectures such as CNNs, RNNs, LSTMs, transformers, and multi-modal models like CLIP and BLIP.
• Experience with image classification, object detection, recognition, generative models, Visual Question Answering (VQA) models, and image captioning.
• Familiarity with basic image processing and text processing techniques.
• Proficiency in natural language processing techniques and libraries such as SpaCy, BERT, Transformers, or similar.

Additional Skills:

• Familiarity with Linux environments and using AWS EC2 for developing and deploying models.
• Excellent problem-solving skills and ability to think critically.
• Strong communication skills to effectively collaborate with team members and stakeholders.

#LI-NK1
#LI-Hybrid 

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.