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.

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.