ThoughtFocus Recruitment | Engineer | BE/ B.Tech | Bangalore - Naukripool

ThoughtFocus Recruitment: ThoughtFocus schedule to hire Engineer for 2021. Freshers can also apply. The location of the job is Bangalore. The details for ThoughtFocus hiring process are provided below.

ThoughtFocus is a mid-sized, US based technology company serving clients in Manufacturing, Financial Services, Higher Education and Aerospace. We develop innovative solutions in product/application engineering, knowledge process outsourcing, and digital transformation. With over 2,000 employees and 12 locations globally, ThoughtFocus is one of the fastest growing technology companies.

ThoughtFocus Recruitment:

Company Name:	ThoughtFocus
Company Website:	www.thoughtfocus.com
Job Location:	Engineer – AI
Job ID:	Bangalore
Experience:	0 – 2 Years
Salary:	Best In Industry

Eligibility Criteria:

Bachelor’s Degree
Typically 0-2 years experience

Job Description:-

We invite you to be part of a growing organization and contribute actively to its success story. Work with a driven and passionate bunch of folks, who are reimagining possibilities, every day at ThoughtFocus.
We are looking for an AI Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries.

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Job responsibilities:

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Developing and enhancing algorithms and models to solve business problem.
Designing data science solution approaches to unstructured data problems, conducting quantitative analyses and interpreting results.
Design, develop and deploy ML algorithms.
Translate ideas into working solutions.
Collaborate with a team of data scientists and engineers to achieve team goals.

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Requirements:

0-2 years of experience.
Proficient level knowledge in Python.
Experience in developing machine learning algorithms.
Must have learning and experimentation mindset to solve new problems.
Data science approaches, machine learning algorithms and statistical methods.
Hands-on knowledge in frameworks like TensorFlow, Keras, PyTorch etc.
Understanding of various Deep Learning models.

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