Analyst and Consultant

10 hours ago

Faridabad, India Sirius AI Full time

Key ResponsibilitiesEngage with clients to understand their business objectives and challenges, providing data-driven recommendations and AI/ML solutions that enhance decision-making and deliver tangible value.Solve business problems using data analysis and machine learning techniques: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.Develop and deploy AI/ML models, including supervised and unsupervised learning algorithms, NLP solutions, and model performance optimization.Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.Contribute to the development of AI-based applications, including but not limited to LLM use cases, while ensuring integration with broader ML system architecture.Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.Be a master storyteller for our services and solutions to our clients at various stages of engagement such as pre-sales, sales, and delivery using data-driven insights.Translate business problems into AI/ML project plans and provide strategic input on solutioning and model deployment strategies.Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.Mentor junior team members, provide guidance on modelling practices, and contribute to an environment of continuous learning and improvement.Job Requirements0 to 2 years of relevant experience in building AI/ML solutions, with a strong foundation in machine learning modelling and deployment.Experience in developing traditional ML models (e.g., regression, classification, clustering) across business functions such as risk, marketing, customer segmentation, and forecasting.Bachelor’s or Master’s degree from a Tier 1 technical institute.Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch.Experience in end-to-end model development lifecycle: data preparation, feature engineering, model selection, validation, deployment, and monitoring.Experience working with unstructured data including complex PDF extraction and information retrieval pipelines.Familiarity with Agentic frameworks and MCPStrong problem-solving capabilities and the ability to independently lead tasks or contribute within a team setting.Effective communication and presentation skills for internal and client-facing interactions.Ability to bridge technical solutions with business impact and drive value through data science initiatives.

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