Lead Data Scientist Chiselon Technologies Private Limited

8.0 - 12.0 years

0 Lacs

guntur, andhra pradesh

On-site

You are looking for a Lead Data Scientist with over 10 years of experience in the field. The ideal candidate should have a Master's or PhD in Computer Science, Mathematics, Statistics, or a relevant field. In this role, you will be responsible for leading the development of next-generation Analytics and Machine Learning software. Your primary responsibilities will include utilizing your strong expertise in Statistics, Mathematics, and Engineering to spearhead the development process. Experience in Bayesian modeling and Probabilistic modeling is essential. You should also have experience working with Python and one of the popular probabilistic programming systems such as Pyro, PyMC, or Stan. Additionally, machine learning programming experience in Python and PyTorch is required. The successful candidate will possess exceptionally strong analytical skills and excellent problem-solving abilities. You should be able to effectively translate business problems into Data Science or NLP problems. In-depth knowledge of Statistics, Machine Learning, LLM's, GenAI, and experience in creating visualizations for Data are also crucial for this role. Strong communication skills, both technical and day-to-day, are essential. If you meet the specified requirements and are interested in this exciting opportunity, please send your updated resume to drishyar@chiselontechnologies.com.,

Posted 2 weeks ago

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Lead Artificial Intelligence Yotta Data Services Private Limited

5.0 - 9.0 years

0 Lacs

maharashtra

On-site

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the field of no-code AI coding and AI orchestration platforms. Additionally, you will develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models. It will be crucial for you to architect and oversee end-to-end machine learning pipelines encompassing data processing, training, evaluation, deployment, and continuous monitoring. Collaboration with software engineering teams will be essential to ensure the successful productionization of models, focusing on factors such as reliability, scalability, and performance. Your role will also involve researching and integrating cutting-edge AI techniques and algorithms to uphold product competitiveness. Leading AI research efforts to contribute to intellectual property generation, patents, and academic publications will be a key aspect of your responsibilities. Moreover, you are expected to provide technical leadership and mentorship to junior AI/ML team members and collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features. Keeping abreast of AI research trends and technologies and evaluating their applicability, as well as ensuring compliance with data privacy and security standards in AI model development, will be integral to your role. Additionally, possessing experience with AI-driven no-code platforms, familiarity with AI workflow orchestration frameworks, knowledge of probabilistic modeling and uncertainty quantification, hands-on experience with MLOps tools and practices, familiarity with cloud platforms and container orchestration, contributions to open-source AI projects or patent filings, understanding of AI ethics and data privacy compliance, and a strong academic research background with publications in top-tier AI/ML conferences are considered advantageous skills. Qualifications for this role include a PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning. A strong research publication record in reputable AI/ML conferences, demonstrated experience in developing and deploying deep learning models, proficiency in NLP and/or computer vision, hands-on experience with Python and ML frameworks, experience in building scalable ML pipelines, and knowledge of distributed training, GPU acceleration, and cloud infrastructure are highly desirable. Excellent problem-solving, analytical, and communication skills, along with prior experience in mentoring or leading junior AI researchers/engineers, will be beneficial for this position.,

Posted 1 month ago

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