Senior AI/ ML Engineer

At Epiq, your work contributes to complex, global legal outcomes. Youll join a valuesdriven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility thats recognized externally. Enabled by modern platforms and AI, youll do the most meaningful work of your career and see your impact at scale. Job Description: Summary We are seeking a highly skilled AI/ML Engineer with good knowledge on AI/ML Implementation, Data and Software Development for our company's machine learning operations. As an AI/ML Consultant, you will work closely with business stake holders, clients, data scientists, software engineers, QA engineers, DevOps engineers. You will also be responsible for implementing and maintaining complex data and AI/ML Solutions for our clients. Job Responsibilities: Participate in discussion and analyzing clients data and its complexity. Every clients data consistency may vary. Not only you should understand the data, but also provide solutions in that can fit in our product and solution offering. Conducting ad-hoc analysis to answer specific business questions. Collecting and organizing large sets of data from various sources. Cleaning and preprocessing data to ensure accuracy and consistency. Machine Learning Algorithms: Knowledge of advanced machine learning algorithms and their implementation. Must have exposure to software programming, integration, and implementation experience. Identify and evaluate new technologies to improve performance, maintainability, and reliability of existing machine learning systems. Analyzing data to identify patterns, trends, and insights. Developing and maintaining dashboards and other tools to monitor key performance indicators. Proficiency in working with deep learning frameworks like TensorFlow, PyTorch, scikit-learn, etc. Collaborating with other data engineers and data scientists to ensure data quality and accuracy. Design, implement, and maintain the data infrastructure and pipelines for machine learning operations. Communicating insights and recommendations to stakeholders in a clear and concise manner. Stay up to date with the latest advancements in data engineering and machine learning and recommend new tools and techniques to improve our operations. Requirements / Skills : Bachelors / masters degree in information or computer science required B.Tech, MCA, MS Computers. 5+ years of experience in AI/ML implementation, Data and Software development area Experience with cloud-based infrastructure such as Microsoft Azure, AWS. Proficiency in Python Handson end-to-end development onGen AI, Agentic AI, NLP, FastAPI, LangChain, HuggingFace, RAGAS, PySpark, ETL, OCR. Must have exposure to software programming, integration, and implementation experience. Experience with some NLP libraries Cloud & DevOps - Azure & AWS, AppInsight, Databricks, Docker, Knowledge of machine learning algorithms and their implementation. Implementation with visualization tools such as PBI or similar. Familiarity with Metadata Management tools Experience working with LLMs Proficiency in integrating APIs. Strong analytical and problem-solving skills All-round communication skills and ability to work collaboratively. Good to have: Knowledge of Power BI Familiarity with data science concepts, machine learning algorithms, and frameworks like TensorFlow, PyTorch, scikit-learn, Keras, Pandas, etc. Added advantage Knowledge on data technologies such Data wrangling, Data Integration/ETL, Data Profiling & Data Quality, Data Discovery Clear understanding of Data Engineering, Machine Learning and AI Models, LLMs Competencies Integrity Behaves in an honest, fair, and ethical manner; shows consistency in words and actions; does what she/he commits to doing; respects the confidentiality of information or concerns shared by others; is honest and forthright with people; carries his/her fair share of the workload; takes responsibility for own mistakes. Client Focus Takes action with the clients, both internal and external, and sees their needs as a primary focus; builds a sustaining collaborative and productive relationship with clients; seeks to understand client situations, issues, expectations, etc.; takes appropriate action to meet client needs and address concerns; implements or utilizes methods to monitor and evaluate client feedback. Results-Driven Sets stretch goals for personal and team accomplishment and works tenaciously to achieve those goals; acts with a sense of urgency; takes the initiative on actions; identifies w .