Ai researcher manager

We are seeking an exceptional AI Research Manager to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for overseeing the strategic direction, operational management, and hands-on implementation of research projects aimed at advancing our GenAI technologies. Duties and Responsibilities:  Lead and contribute to the hands-on implementation of research projects, including coding and technical development. Collaborate with the team to design, develop, implement, and optimize GenAI models and algorithms. Participate in code reviews and provide technical guidance to team members. Oversee the execution of research projects from ideation to deployment, ensuring timely and quality delivery. Manage project budgets and resource allocation, ensuring efficient use of resources. Develop and implement the research strategy and roadmap that aligns with the companys long-term goals. Provide strategic direction and oversight for research initiatives, ensuring alignment with business objectives. Collaborate with cross-functional teams, including product, engineering, and business development, to integrate research findings into product development. Build and maintain relationships with academic institutions and industry partners to foster research collaborations and knowledge sharing. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Hire, mentor, and develop a high-performing team of AI researchers and engineers. Foster a collaborative and innovative research culture, encouraging creativity and continuous learning. To be successful in this role, it is essential to have knowledge and/or experience in:  Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field. Professional experience:8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies. A strong background in parallel/distributed computing (preferably on the cloud). Proven track record of publications in top-tier conferences and journals.  Core technical skills: probability theory and statistics, machine learning, deep learning, natural language processing, computer vision, audio/speech processing, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. It would be nice/it s a plus if you know/have experience in: PhD in Computer Science, Machine Learning (ML), or related technical fields. 8+ years of hands-on experience as an applied ML/AI researcher 5+ years in a leadership role managing research teams. Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Experience with cloud computing platforms such as AWS, Azure, or GCP. Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Ability to follow and oversee projects, coordinating resources, setting milestones, monitoring progress, and adjusting plans accordingly. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others contributions. Benefits: Medical insurance (SulAmérica) - adding dependents will incur an additional charge; Meal Voucher credited at Flash Card; Life Insurance. We ll be happy to look at your application Subscribe to our networks and follow the world of TalentX.Digital:   LinkedIn: Click here  Instagram: Click here Come to Gluker Try our profile tests Click here