Senior AI Software Engineer

Job Responsibilities:

• Participate in discussion and analyzing client’s data and its complexity. Every client’s 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 / master’s 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 what needs to be done and takes action before being asked; does more than what is normally required in a situation; establishes metrics to monitor progress and measure success; maintains focus by avoiding or overcoming roadblocks.

Entrepreneurial Orientation – Proposes innovative business opportunities/ideas to customers and business partners; encourages and supports entrepreneurial behavior in others; demonstrates willingness to take calculated risks to achieve business goals.

Decisiveness – Makes well-informed, effective, and timely decisions even when data is limited, or solutions produce unpleasant consequences; perceives the impact and implications of decisions; can make tough decisions.

Your specific salary will be determined based on several factors:

Location-based market rate for the role

Your abilities in relation to the job specification

Performance during screening and interview

Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

Build trust-based partnerships

Nurture long-term relationships

Remove collaboration barriers

Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

Use storytelling to build buy-in

Align communication with organizational goals

Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.

Use data to identify improvement opportunities

Make informed decisions

Align team goals with boarder strategy

Empower teams to manage their own goals

Translate vision into clear priorities

Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

Improve workflows for team efficiency

Use clear documentation and expectations

Resolve issues quickly using data and feedback

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.