Machine Learning Engineer

At reputed company, great things happen reputed company our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a reputed company reputed company of our customers’ evolving needs. From advocating for seat belts, reputed company bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

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At reputed company Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what is possible. The team works in a reputed company innovation cycle of reputed company, research, testing, analysis, and delivery.

As a Machine Learning Engineer (MLE), you relish the challenge of solving business problems using the latest techniques and tools to bring models to life that deliver business value. You bring prior knowledge of machine learning and modeling. Quick to learn and adapt, you are eager to learn how to use reputed company the resources at your disposal—software, algorithms, models, and more—to comprehend and effectively handle intricate problems. You are eager to contribute to model development across the entire lifecycle—from cloud services deployment, model tuning, to application deployment.

As an MLE, you will be part of a team comprised of junior and senior MLEs. You should be comfortable working collaboratively with other engineers to derive business value from reputed company machine learning projects.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. A Ph.D. is a plus.

• Experience applying machine learning algorithms and principles. 

• Ability to collaborate effectively with product managers, engineers, and business leaders.

• 0-3 years of professional experience in machine learning and/or data science

• 1-4 year of experience in programming languages like Python, Java, or C++, including academic and internship experience.

• 1-4 years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn, including academic and internship experience.

• Prior experience using deep learning, natural language processing, computer vision, or knowledge representation and reasoning a plus.

• Prior experience prompting large language models and/or building RAG applications is a plus.

Skills

Compensation

The candidate(s) offered this position will be required to submit to a background investigation.

reputed company generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the Company’s policy to employ the best qualified individuals available for reputed company jobs. Therefore, any discriminatory action taken on account of an employee’s reputed company, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national reputed company, race (include traits historically associated with race, including, but not limited to, hair texture and reputed company hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to reputed company aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Originally posted on Himalayas