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4.0 - 8.0 years

0 Lacs

karnataka

On-site

As a Data Scientist specializing in Conversational AI and Generative AI, you will play a crucial role in driving forward our AI initiatives. Your main focus will involve developing and optimizing intelligent conversational systems by leveraging advanced techniques, particularly Large Language Models (LLMs) from OpenAI. Your responsibilities will include designing and implementing Conversational AI solutions that utilize Generative AI and OpenAI models. You will fine-tune LLMs to improve their performance in conversational settings, analyze large datasets to extract insights for enhancing models, collaborate with cross-functional teams to incorporate AI solutions into products and services, conduct experiments to assess the efficacy of AI implementations, and keep abreast of the latest advancements in AI research and technology. To excel in this role, you should possess at least 4 years of experience in data science, machine learning, or a related field. A strong grasp of Conversational AI and Generative AI, along with hands-on experience with OpenAI technologies, is essential. Proficiency in natural language processing (NLP) techniques and frameworks, familiarity with CI/CD pipelines, Git, and prompt engineering, robust programming skills in Python, and knowledge of AI/ML libraries are also required. Familiarity with cloud platforms such as AWS, GCP, or Azure would be advantageous. Additionally, you should demonstrate excellent analytical and problem-solving abilities, strong communication skills for effectively presenting findings to technical and non-technical audiences, and the capability to work autonomously while efficiently managing multiple projects. If you are passionate about pushing the boundaries of AI technology and have a proven track record in data science and AI development, we encourage you to apply and be a part of our dynamic team.,

Posted 3 days ago

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5.0 - 10.0 years

18 - 20 Lacs

Noida

Work from Office

Key Responsibilities Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Experience designing and deploying machine learning models and AI systems in production environments Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval- Augmented Generation) pipelines Solid understanding of data security, privacy, and compliance principles, with experiencng implementing these in real-world projects Strong problem-solving skills and ability to translate complex business problems into technical solutions Excellent communication and collaboration skills, with the ability to work effectively across technical and non- technical teams Experience with version control (e.g., Git) and agile development practices Enthusiasm for learning and applying emerging technologies in AI and machine learning

Posted 1 week ago

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