Senior AI Software Engineer in भारत

Responsibilities

• Analyze client data complexity and develop solutions that fit the company’s products and offerings.
• Conduct ad hoc analysis to answer business questions and identify patterns, trends, and insights.
• Collect, organize, clean, and preprocess large datasets from multiple sources.
• Implement and maintain machine learning, generative AI, agentic AI, NLP, and software solutions.
• Design, implement, and maintain data infrastructure and pipelines for machine learning operations.
• Develop and maintain dashboards and monitoring tools for key performance indicators.
• Integrate software, APIs, cloud services, and machine learning systems end to end.
• Collaborate with clients, data scientists, software engineers, QA engineers, DevOps engineers, and data engineers.
• Evaluate new technologies and recommend tools and techniques to improve system performance, maintainability, reliability, and operational effectiveness.
• Communicate technical insights and recommendations clearly to stakeholders.

Requirements

• Bachelor’s or master’s degree in information science or computer science, including https://jobeax.com/link/2DENLGgQM7whDhaE, MCA, or MS in Computer Science.
• At least 5 years of experience in AI/ML implementation, data development, and software development.
• Proficiency in Python and experience with end-to-end development involving Gen AI, agentic AI, NLP, FastAPI, LangChain, Hugging Face, RAGAS, PySpark, ETL, and OCR.
• Experience with cloud infrastructure such as Microsoft Azure and AWS.
• Experience with Azure, AWS, AppInsight, Databricks, and Docker in cloud and DevOps environments.
• Knowledge of machine learning algorithms and experience implementing them with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Experience with LLMs, NLP libraries, API integration, visualization tools such as Power BI, and metadata management tools.
• Experience with data engineering, data wrangling, data integration and ETL, data profiling and quality, and data discovery.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Familiarity with data science concepts, machine learning algorithms, AI models, LLMs, Pandas, and related data technologies is preferred.

Benefits

• Epiq provides enterprise-wide learning, career mobility, and workplace flexibility.
• Benefits information is provided through Epiq’s benefits program.
• Specific salary and package details are discussed during the initial screening call.