Advanced Analytics and Machine Learning Specialist

As a Senior Data Scientist at our company in Hyderabad, your primary roles and responsibilities will include: - Designing, developing, and deploying AI/ML products and services based on customer needs. - Designing data pipelines to ensure smooth data flow. - Continually developing capabilities in alignment with demand and technology/business roadmaps. - Reviewing and integrating all application requirements to ensure functionality, security, performance, and quality. - Improving technologies used by the team to enhance product and service delivery. - Implementing all application requirements, including security, integration, and operations. - Collaborating closely with Product Owners and Architects to develop data science products and pipelines on Modern Data Platforms. - Providing guidance and assistance on technical issues to the team. - Demonstrating expertise in handling unstructured, semi-structured, and structured data effectively. Qualifications required for this role are: - 3+ years of experience as a data scientist. - Bachelor's or master's degree in data science, Applied Statistics, AI/ML, or a relevant specialization. - Knowledge of cloud data engineering and Big Data services in Azure, AWS, or GCP. - Proficiency in Python and SQL for data analysis and model deployment. - Expertise in GenAI, LLMs, RAG, NLP, and deep learning architectures. - Familiarity with ML stack tools such as scikit-learn, Tensorflow, and Keras. - Proficiency in MLOps, containerization, CI/CD pipelines, and cloud-native deployments. - Experience in fine-tuning models to improve accuracy rates. - Strong interpersonal and verbal communication skills. - Desire to thrive in a performance-driven environment. Additionally, it is preferred that you have: - Knowledge of Computer Vision and Image processing techniques. - Familiarity with Snowflake Cortex, Cortex AI Features, and Snowpark Container would be advantageous for this role. As a Senior Data Scientist at our company in Hyderabad, your primary roles and responsibilities will include: - Designing, developing, and deploying AI/ML products and services based on customer needs. - Designing data pipelines to ensure smooth data flow. - Continually developing capabilities in alignment with demand and technology/business roadmaps. - Reviewing and integrating all application requirements to ensure functionality, security, performance, and quality. - Improving technologies used by the team to enhance product and service delivery. - Implementing all application requirements, including security, integration, and operations. - Collaborating closely with Product Owners and Architects to develop data science products and pipelines on Modern Data Platforms. - Providing guidance and assistance on technical issues to the team. - Demonstrating expertise in handling unstructured, semi-structured, and structured data effectively. Qualifications required for this role are: - 3+ years of experience as a data scientist. - Bachelor's or master's degree in data science, Applied Statistics, AI/ML, or a relevant specialization. - Knowledge of cloud data engineering and Big Data services in Azure, AWS, or GCP. - Proficiency in Python and SQL for data analysis and model deployment. - Expertise in GenAI, LLMs, RAG, NLP, and deep learning architectures. - Familiarity with ML stack tools such as scikit-learn, Tensorflow, and Keras. - Proficiency in MLOps, containerization, CI/CD pipelines, and cloud-native deployments. - Experience in fine-tuning models to improve accuracy rates. - Strong interpersonal and verbal communication skills. - Desire to thrive in a performance-driven environment. Additionally, it is preferred that you have: - Knowledge of Computer Vision and Image processing techniques. - Familiarity with Snowflake Cortex, Cortex AI Features, and Snowpark Container would be advantageous for this role.