Ph.D. in Computer Science, Artificial Intelligence, or a related field., Proven track record in AI, Deep Learning, and NLP with relevant publications., Strong programming skills in Python or Java and experience with machine learning frameworks like TensorFlow or PyTorch., Ability to work collaboratively and communicate complex ideas effectively..
Key responsibilities:
Contribute hands-on to AI and machine learning projects.
Design and implement algorithms and models to solve real-world problems.
Collaborate with cross-functional teams to integrate AI solutions into applications.
Stay updated on AI research advancements and contribute to the organization's knowledge base.
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Saviance Technologies is a US Healthcare IT Service provider focusing on Patient Engagement with Innovative Products and Solutions like Patient Intake Tablet, iHealthConnect Wellness Portal, Mobile Applications, Actionable Analytics and ICD-10 Testing Services. Incorporated in 1999 in New Jersey, with over 15 years of excellent industry track record, Saviance offers services & solutions that enable enterprises to achieve critical objectives.
Saviance is a Gold Category Corporate Member with Healthcare Information Management Systems Society (HIMSS), member of mHealth Alliance and Corporate member of NJ-HITEC. We are awarded by INC. 5000 as one of the fastest growing privately held companies in North America. Saviance is also ranked among the Fast 50 Asian American Businesses in the United States by USPAACC (US Pan Asian American Chamber of Commerce) and selected as a 2014 "Top Business"​ recipient byDiversityBusiness.com.
A certified Minority Business Enterprise recognized by NMSDC, Saviance is also partner with leading global brands such as Microsoft, Amazon Web Services, Apple, Samsung and Red Hat.
Job Title: AI and Gen. AI Data Scientist and Data Engineers Location: India, Remote Part time/Consulting
About BigRio: BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. We deliver software solutions ranging from: custom development, software implementation, data analytics, and machine learning/AI integrations. We are a one-stop shop that attracts clients from a variety of industries because of our proven ability to deliver cutting-edge and cost-conscious software solutions.
Description: BigRio is looking for experienced and motivated software engineers who possess a unique balance of business knowledge, technology effective interpersonal skills. Technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. Must be hands-on Data Scientists with Data Engineering skills. As an AI Data Scientist at Bigrio Gen AI CoE and Innovation Hub, you will play a pivotal role in advancing the field of artificial intelligence through innovative research and development. You will collaborate with a multidisciplinary team of experts to address complex challenges and contribute to the creation of next-generation AI solutions.
Key Responsibilities:
Contribute hands on to projects in artificial intelligence, machine learning, and related fields.
Design and implement Client algorithms and models to solve real-world problems along with necessary data engineering.
Collaborate with cross-functional teams to integrate AI solutions into practical applications.
Stay abreast of the latest advancements in AI research and contribute to the organization's knowledge base.
Qualifications:
Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Proven track record of impactful research and projects in AI, Deep learning and NLP as evidenced by publications and contributions to the field.
Strong programming skills, with proficiency in languages such as Python or Java.
Set up AI and Gen AI Infrastructure.
Prompt engineering with LLMs
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Ability to work collaboratively in a team environment and communicate complex ideas effectively.
Excellent problem-solving skills and a passion for pushing the boundaries of AI technology.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.