CareerNet Technologies Pvt Ltd
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Noida · On-site · 2-5 Yrs · Aug 20
HR Consulting · 501 to 1000 Employees · Bengaluru, India
Established in 1999, CareerNet is the leading provider of Talent Acquisition and Management solutions to the Technology, Knowledge Services, Banking & Financial Services, Hospitality & Healthcare sectors in India. For sales enquiry, contact: sales@careernet.co.in DISCLAIMER: CareerNet does not practice charging a placement fee from any job seeker across profiles. Word of caution to the fraudulent news and information, if anyone demands any kind of charges from you, in the name of CareerNet Consulting. We do not practice sending any emails/ messages/ will not do any kind of calls/ any other kind of communication-related to financial transactions of any kind from the job seekers, and also we will suggest you not to trust any such kind of people who demand you charges in the name of CareerNet Consulting. In case of any kind of charges/payments carried out at your free will, please note that we will not hold accountability on the premise of Refund OR fraudulent transactions.
Hiring: Engineering
What employees say
+ Good clients-products, name in the market, value their employee, Hybrid mode, only 1 Saturdays working. reasonable pressure.
− not much, must focus on Service clients also
More reviews on the company profile.
Interview experience · Associate
Two to Three rounds of interview 1st round general discussion ( personal details, work experience, education) 2nd round technical ( Tech / non- Tech) Based on the job description 3rd round human resource
Average difficulty · Bengaluru · 96 reports
More interview insightsJob description
Overview
Key Skills: Machine Learning, AI Artificial intelligence
Qualifications
- Develop AI solutions for image understanding, OCR, document structure recognition, and video analytics
- Build end-to-end machine learning pipelines covering data preparation, model training, evaluation, and iteration
- Implement GenAI workflows for prompt engineering and retrieval-augmented generation over unstructured data
- Improve model accuracy, latency, and scalability for production use cases
- Partner with product and engineering teams to translate business requirements into deployable AI systems
- 2 - 7 years of relevant experience in AI/ML, Computer Vision, or Data Science
- Strong hands-on experience in Machine Learning, Deep Learning, and Computer Vision
- Proficiency in Python with practical experience in PyTorch and TensorFlow
- Good to Have:
- Exposure to semi-supervised learning, active learning, and model optimization techniques
- GenAI exposure with LLM workflows and retrieval-augmented generation
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