Data Scientist - Machine Learning/Artificial Intelligence in Hyderabad, भारत

About the Role :We are looking for a Data Scientist with strong experience in developing and deploying machine learning solutions for business problems. The ideal candidate should have hands-on expertise across data preparation, statistical and machine learning techniques, model development, experimentation, validation, and productionization, along with exposure to Generative AI and modern AI https://jobeax.com/link/NEGihx4n1Wqwy714 Responsibilities :- Lead the ML development track within client engagements, from problem definition through deployment.- Perform data collection, profiling, exploratory data analysis (EDA), feature engineering, and data preparation.- Develop, experiment with, tune, and validate machine learning and deep learning models.- Apply appropriate statistical and ML techniques to solve complex business problems across structured and unstructured data.- Work with supervised, unsupervised, and reinforcement learning approaches where applicable.- Explore and implement Generative AI and large language model (LLM) use cases, including model adaptation and fine-tuning approaches.- Evaluate pre-trained models, open-source models, datasets, and third-party AI capabilities for business applications.- Develop AI/ML solutions across domains such as NLP, computer vision, speech, and structured data, based on project requirements.- Apply ensemble modelling, model optimization, and responsible AI practices to improve solution quality and reliability.- Deploy and scale models using appropriate ML deployment and cloud technologies.- Work with Azure, AWS, or GCP and leverage their AI/ML capabilities for solution development.- Explore emerging AI technologies and conduct proofs of concept (PoCs) to evaluate their applicability to client and business use cases.- Propose ML/AI solution approaches, estimate effort, and contribute to solution development and pre-sales activities.- Present analytical findings, model outcomes, and business recommendations to clients, business users, and project leadership.- Contribute to AI-based modules and accelerators within organizational solution development initiatives.- Mentor junior team members and promote adoption of AI/ML best practices across the organization.- Maintain high standards of model quality, documentation, scalability, security, and responsible https://jobeax.com/link/ZamumwRzozPx7l4P Skills :- 5 - 10 years of experience in Data Science, Machine Learning, or a closely related role.- Strong hands-on programming experience in Python, R, and SQL.- Strong understanding of statistical machine learning, deep learning, and model ensembling.- Experience with data preparation, EDA, feature engineering, experimentation, model tuning, and validation.- Experience working with supervised and unsupervised learning; exposure to reinforcement learning is an advantage.- Hands-on experience with Generative AI/LLMs, including model fine-tuning or adaptation approaches.- Good understanding of NLP, Transformer architectures, embeddings, and modern AI models.- Exposure to computer vision, speech analytics, or other AI domains is preferred.- Experience with AI/ML tools for data analysis, model development, deployment, scaling, and fine-tuning.- Good understanding of open-source and pre-trained models, datasets, and third-party AI platforms.- Experience with at least one hyperscaler: Azure, AWS, or GCP, with knowledge of their AI/ML capabilities.- Understanding of Responsible AI, model fairness, transparency, and data privacy.- Knowledge of model optimization techniques such as quantization and pruning is an advantage.- Good understanding of software development practices, APIs, and application architecture.- Strong analytical and problem-solving skills with the ability to break complex problems into structured hypotheses.- Excellent communication skills with the ability to translate technical AI concepts and findings into business value and actionable recommendations.- Strong innovation, experimentation, and mentoring capabilities. (ref:hirist.tech)