Artificial intelligence engineer

Job Title: AI Engineer Location: Remote, must be based within Tamil Nadu Employment Type: Contract, 6 months About Profice:  Profice is a forward-thinking software development company specializing in custom solutions, data management and AI-powered HR & Payroll innovations. We empower businesses with cutting-edge technology, seamless automation and a culture of agility, flexibility and continuous learning. Learn more about us at . About this role:  We are looking for a highly skilled AI Engineer with 3-8 yrs experience in Python, Machine Learning and Data Engineering to design, build and deploy intelligent data-driven systems. This role will form the foundation of our future AI initiatives , focusing on data preparation, anomaly detection and automation of model pipelines. You will work independently across the full lifecycle from data ingestion and cleaning to model training, evaluation and production deployment . The ideal candidate is a hands-on engineer who combines strong programming, analytical and automation skills with a solid understanding of ML algorithms and modern AI concepts. Should have good communication skills and a passion to work in a start-up culture in UK time zone . It’s a remote based role for a fixed period of 6 months and must be based within Tamil Nadu state. Key Responsibilities Data Engineering & Profiling Ingest and process large, complex datasets (new and historical employee data). Identify, clean and handle missing or inconsistent data. Develop data-profiling pipelines to extract features, identify trends and prepare training / ev luation datasets. Work with structured datasets (CSV, Excel, XML, JSON) to preprocess, clean and transform them efficiently. Machine Learning & Analytics Build, train and optimize machine learning models for anomaly detection, data-quality scoring and pattern recognition (e.g., Isolation Forest, Autoencoders, One-Class SVM). Apply statistical and ML methods to evaluate data quality and detect inconsistencies. Create feedback loops to continuously improve AI model performance based on user corrections and validation results to improve accuracy. Integration & Services Collaborate with backend developers to integrate AI as REST, g RPC (or message-queue) services into the main application. Where appropriate, package models via ONNX Runtime / ML. NET for low-latency, in-process inference. Collaborate with Dev Ops to containerize and deploy AI models using Docker on Azure / AWS. Key Skills & Qualifications Strong proficiency in Python and hands-on experience with ML and data libraries (e.g., Pandas, Num Py, Scikit-learn, Py OD, Tensor Flow, Py Torch). Knowledge of ML. NET or ONNX for integrating models with. NET environments Experience building and deploying RESTful / g RPC AI microservices (Fast API, Flask or. NET Core). Deep understanding of ML algorithms and statistical models , especially for anomaly detection and predictive analytics. Proven experience in data engineering — designing and automating ETL pipelines, data cleansing and transformations. Familiarity with SQL / no SQL databases, data warehousing and data-profiling tools. Proficiency with Docker and containerised deployment of ML models. Excellent English communication skills (written and verbal). Who are we? Here at Profice, we build intelligent, scalable and people-centric software solutions that simplify the management of workforces in businesses. Rooted in our passion and interest for both technology and HR transformation, our mission is to bridge the gap between raw HR data and operational efficiency. With extensive expertise across software development, data integration and global HR system rollouts, we empower and inspire organizations to make their people data work smarter. What makes Profice a great place to work?  At Profice, we strongly believe in work-life balance and the continuous growth of our employees. Our employees are entirely remote based, focusing on delivering high-quality results on time without compromising standards. Our agile culture fosters open communication, eliminating rigid hierarchies and enabling direct access to leadership. We provide abundant opportunities to learn, innovate and thrive in a dynamic environment.