Introduction SymphonyAI is at the forefront of innovation leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth As a global leader in AI-powered solutions we empower organizations to harness the full potential of data-driven insights SymphonyAI enterprise applications rapidly deliver transformative business value across retail CPG financial services manufacturing media Enterprise IT SymphonyAI Summit and the public sector SymphonyAI combines unrivalled AI technology vertical expertise and industry-specific data and insights into applications that drive the highest value for customers We are one of the largest and fastest growing AI portfolios We are on a mission to build a World Class Team with a high-performance culture As a Senior Data Scientist you will lead the design development and deployment of advanced machine learning and deep learning solutions across a variety of domains You will work with large and complex datasets to drive business insights and power cutting-edge AI products including state-of-the-art Natural LanguageProcessing NLP and Generative AI GenAI systems You will collaborate closely with engineering product management and business stakeholders to deliver end-to-end data science solutions from problem definition through scalable deployment You will play a key role in shaping our AI ML strategy leveraging your expertise in Python ML DL frameworks and cloud technologies to deliver best-in-class solutions What You ll Do Design build and deploy end-to-end machine learning and deep learning models for business-critical applications with a focus on NLP text classification and generative AI use cases Lead development and fine-tuning of Large Language Models LLMs and implement retrieval-augmented generation RAG pipelines Utilize LangChain LangGraph and LangFlow frameworks to orchestrate LLM applications and workflows Apply advanced NLP techniques to solve real-world business problems including text extraction summarization classification information retrieval and entity recognition Build scalable production-grade ML pipelines using TensorFlow PyTorch and manage model lifecycle including versioning monitoring and retraining Design and execute experiments and benchmarks on model performance data quality and feature engineering Deploy models as robust secure APIs using Docker and Kubernetes on cloud platforms such as Azure Collaborate with data and DevOps engineers to build optimize and maintain MLOps workflows and infrastructure Work closely with stakeholders to understand requirements and translate business needs into technical solutions Stay up-to-date with the latest research in AI ML NLP and GenAI and identify opportunities for innovation and improvement Mentor and guide junior data scientists promoting best practices in coding experimentation and documentation Skills You ll Need 6 years of hands-on experience in data science with strong expertise in Python and its libraries NumPy pandas scikit-learn Pytorch etc Deep knowledge of core machine learning and deep learning algorithms and architectures Demonstrated experience 1 years working with Generative AI technologies including LLMs fine-tuning and RAG Hands-on experience with NLP techniques and frameworks spaCy Hugging Face Transformers NLTK etc Extensive experience in TensorFlow and or PyTorch including building and training custom models Proven track record of deploying ML solutions at scale using Kubernetes Docker and Azure cloud services Practical experience with LLM orchestration frameworks such as LangChain and LangFlow Strong understanding of software engineering best practices version control git containerization and CI CD for ML Familiarity with data engineering concepts and tools for large-scale data processing and feature pipelines Excellent communication and stakeholder management skills with the ability to explain complex technical topics to a broad audience Self-motivated collaborative and passionate about driving business impact through AI innovation Bachelor s or Master s degree in Computer Science Data Science Engineering or a related field PhD is a plus Preferred Experience in multi-cloud environments Preferably Azure Knowledge of model monitoring explainability and responsible AI practices Publications or contributions to the open-source data science AI community About Us Why Join SymphonyAIWork on cutting-edge AI and Generative AI projects Tackle diverse real-world challenges across multiple industries Lead and mentor in a high-performance innovative team Use advanced tech stack and modern MLOps tools Enjoy a collaborative inclusive and growth-oriented culture We re excited about the possibility of having you join our team and contribute to our mission

📌 Senior Data Scientist (Karnataka)
🏢 SymphonyAI
📍 Karnataka