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10.0 - 18.0 years
0 Lacs
karnataka
On-site
As a Senior Scientist specializing in Responsible AI & Research Integration, you will be playing a critical role in bridging the gap between academic research in AI safety and the practical development of AI products. Based in Bangalore, this high-impact position requires 10 to 18 years of experience in the field. Your primary responsibility will be to advance the frontiers of Responsible AI and AI safety through both foundational and applied research. Approximately 60% of your time will be dedicated to conducting research on topics such as model alignment, transparency, behavioral safety, and oversight mechanisms for autonomous systems. The remaining 40% will involve translating these research insights into practical tools, features, and governance components that can be integrated into internal systems and external offerings. Collaboration will be key in this role, as you will work closely with the AI Research Lab and Responsible AI Office to define research agendas and translate findings into product features and governance frameworks. Additionally, you will be involved in building partnerships with academic labs, participating in external working groups, and providing strategic intelligence on the evolving ecosystem of responsible AI technologies and companies. Your responsibilities will also include developing product roadmap specifications, evaluating early-stage startups in the AI safety space, and monitoring the competitive landscape to identify market gaps in responsible AI tooling. Building collaborative relationships with academic labs, research consortia, and external fellows, as well as representing the company in research summits and public forums, will be part of your external engagement activities. To excel in this role, you should have a PhD in Computer Science, Artificial Intelligence, or a related discipline, with a strong publication record in AI safety research. Experience in translating research into production-ready tools, collaborating with interdisciplinary teams, and evaluating early-stage AI companies will be essential. Strong communication skills, the ability to synthesize insights from academic research, and a network within the responsible AI research community will also be valuable assets. If you are passionate about driving advancements in Responsible AI, thriving at the intersection of science, systems thinking, and strategic influence, and have a track record of contributing to cutting-edge research and product development, this role offers a unique opportunity to make a significant impact in the field.,
Posted 3 days ago
15.0 - 24.0 years
1 - 6 Lacs
Gurgaon, Haryana, India
On-site
Key Responsibilities: Strategic Leadership: Develop and implement strategic plans , aligning with the organization's goals and long-term vision. Drive business growth, profitability , and market expansion initiatives . Identify opportunities for process optimization, cost reduction, and operational efficiency. Operational Oversight: Manage day-to-day operations across departments such as production, logistics, sales, finance, and HR (depending on the business). Monitor and improve key operational KPIs. Ensure compliance with statutory and regulatory standards (labor, environmental, safety, etc.). Financial Accountability: Take ownership of budgeting, forecasting, and P&L management . Approve resource allocation, capital expenditures, and vendor contracts in line with business strategy. Collaborate with finance teams to ensure robust financial controls and audits. Team & Culture Management: Lead and mentor functional heads and middle management teams. Drive employee engagement, performance management, and leadership development programs. Foster a culture of accountability, innovation, and continuous improvement. Stakeholder & External Relations: Engage with key clients, partners, regulatory bodies, and suppliers. Represent the organization in senior forums, negotiations, or industry events. Collaborate with board members and the executive team for governance and reporting. Required Skills and Qualifications: Bachelor's degree in Business, Engineering, Finance, or related field; MBA or equivalent preferred . 15+ years of progressive experience in operations, general management, or business leadership , with at least 5 years at a senior management level. Proven track record in managing large teams , multi-location operations , and delivering results. Strong business acumen and understanding of market dynamics , financial management , and regulatory landscapes .
Posted 1 week ago
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