Staff Data Scientist

Role Overview: At Osmos.ai, you will play a crucial role as a Senior Data Scientist, utilizing your expertise in statistical modeling, machine learning, and data engineering to provide advanced analytical solutions. Your responsibilities will include translating complex business problems into analytical frameworks, applying AI/ML solutions to real-world use cases, and collaborating with cross-functional teams to drive AI-powered solutions. Key Responsibilities: - Translate complex business challenges into analytical frameworks using statistical and ML methodologies. - Apply AI/ML solutions to real-world business use cases across multiple industries. - Extract insights from large-scale datasets to enhance model accuracy, fairness, and relevance. - Lead the design, development, and deployment of scalable ML and DL solutions, with a focus on LLMs and GenAI. - Build training, fine-tuning, evaluation, and serving pipelines for LLMs in various applications. - Provide technical and strategic leadership to cross-functional teams and collaborate with engineering and product teams. - Mentor junior data scientists and promote best practices in MLOps, Responsible AI, and ML system design. - Drive the execution of business plans and projects, manage data science initiatives, and stay ahead of industry trends. Qualifications Required: - Master's or doctoral degree in a relevant field (computer science, statistics, mathematics, data science preferred). - 8-12 years of practical experience in data science, generative AI, machine learning, and analytics. - Minimum 3-4 years of hands-on expertise in NLP, LLMs, and Generative AI. - 2+ years of demonstrated experience in leading projects and teams. - Advanced proficiency in Python for data manipulation, statistical analysis, and machine learning model development. - Strong foundation in machine learning, deep learning, and NLP. - Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA). - Proficiency in Python, PyTorch/TensorFlow, SQL, and cloud platforms (GCP/AWS/Azure). - Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.). - Strong data engineering skills for building ETL pipelines for large-scale datasets. - Statistical rigor including hypothesis testing, regression, time-series analysis, and causal inference. - Soft skills such as leadership, collaboration, and project management are essential for success in this role. (Note: This is a requirement for one of Uplers' clients - OnlineSales.ai) Role Overview: At Osmos.ai, you will play a crucial role as a Senior Data Scientist, utilizing your expertise in statistical modeling, machine learning, and data engineering to provide advanced analytical solutions. Your responsibilities will include translating complex business problems into analytical frameworks, applying AI/ML solutions to real-world use cases, and collaborating with cross-functional teams to drive AI-powered solutions. Key Responsibilities: - Translate complex business challenges into analytical frameworks using statistical and ML methodologies. - Apply AI/ML solutions to real-world business use cases across multiple industries. - Extract insights from large-scale datasets to enhance model accuracy, fairness, and relevance. - Lead the design, development, and deployment of scalable ML and DL solutions, with a focus on LLMs and GenAI. - Build training, fine-tuning, evaluation, and serving pipelines for LLMs in various applications. - Provide technical and strategic leadership to cross-functional teams and collaborate with engineering and product teams. - Mentor junior data scientists and promote best practices in MLOps, Responsible AI, and ML system design. - Drive the execution of business plans and projects, manage data science initiatives, and stay ahead of industry trends. Qualifications Required: - Master's or doctoral degree in a relevant field (computer science, statistics, mathematics, data science preferred). - 8-12 years of practical experience in data science, generative AI, machine learning, and analytics. - Minimum 3-4 years of hands-on expertise in NLP, LLMs, and Generative AI. - 2+ years of demonstrated experience in leading projects and teams. - Advanced proficiency in Python for data manipulation, statistical analysis, and machine learning model development. - Strong foundation in machine learning, deep learning, and NLP. - Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA). - Proficiency in Python, PyTorch/TensorFlow, SQL, and cloud platforms (GCP/AWS/Azure). - Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.). - Strong data engineering skills for building ETL pipelines for large-scale datasets. - Statistical rigor including hypothesis testing, regression, time-series analysis, and causal inference. - Soft skills such as l