CareerNet Technologies Pvt Ltd
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Pune · On-site · 12+ Yrs · Aug 25
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: Artificial Intelligence, Machine Learning, Generative AI, Python, Data Science, MLOps, LLMs, RAG Pipelines, Big Data, SQL
Responsibilities
- Provide thought leadership and architectural oversight for all ML/AI/Gen AI solutions including setting technical vision for fraud analytics platform.
- Act as the team's chief architect and technical authority, providing hands-on guidance and contributing to the codebase for critical components.
- Establish and oversee a robust governance framework for the entire model lifecycle to meet regulatory and internal standards for AI/Gen AI models.
- Architect and own the team's enterprise-grade MLOps framework that supports both traditional ML and complex LLM-based systems.
- Lead, manage, and mentor a high-performing team of AI specialists including recruiting, hiring, and developing world-class AI talent.
- Drive strategic alignment by translating executive vision into a technical roadmap and articulate the value, risks, and ROI of complex AI initiatives to senior leadership.
- Define engineering standards, best practices, and technology stack for the team while leading by example in solving challenging technical problems.
- Make strategic decisions on build-vs-buy for MLOps tooling and platforms to create a best-in-class ecosystem.
Qualifications
- Artificial Intelligence, Machine Learning, Generative AI, Python, Data Science, MLOps, LLMs, RAG Pipelines, Big Data, SQL
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