Overview

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.

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.

Qualifications

• 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
• 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.
• 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
• 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
• 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
• Build trust-based partnerships
• Nurture long-term relationships
• Remove collaboration barriers
• Celebrate cross-team success
• Use storytelling to build buy-in
• Align communication with organizational goals
• Guild alignment through strong engagement
• Use data to identify improvement opportunities
• Make informed decisions
• Align team goals with boarder strategy