Ivy Mobility is rapidly expanding in the enterprise SaaS market and Consumer Goods verticals.
The company provides cloud-based technologies for retail execution, direct store delivery, and distribution management to enhance customer experiences, increase revenue, and improve field force productivity.

Ivy Mobility's enterprise CRM solution supports multiple sales channels, enabling seamless connection with manufacturers, distributors, and sellers.
Headquartered in Singapore, Ivy operates offices in North America, Europe, Asia, the Middle East, and Latin America, serving over 55,000 enterprise app users and processing more than 100 million mobile transactions monthly.

Role Description :

This is a full-time, on-site role for a Machine Learning Engineer located in Gurugram.

The Machine Learning Engineer will be responsible for designing, developing, and implementing machine learning models and algorithms.
Day-to-day tasks include analyzing data, identifying patterns, building neural networks, and optimizing statistical models to enhance various business processes.

The role involves collaboration with cross-functional teams to translate business requirements into technical solutions and contribute to ongoing innovation within the organization.

Required Skills : Deep learning, Computer Vision , Docker, Python AWS or Azure.

Role :

The role is of an AI Engineer who is responsible for developing scalable solutions using AI tools.

To understand business requirements and map them to analytical questions effectively and provide meaningful recommendations.

Perform EDA, develop machine learning algorithms and predictive models and test them.
Develop components of the Data Pipeline Management (DPM) for the respective Use-Cases.
Work on daily tasks to complete them effectively to meet the project goals and timelines.

Responsibilities :

- Deliver robust and well-tested modules to serve the use cases.

- Collaborate within the AI team.

- Continuously improve the efficiency and robustness of existing modules.

- Promote best practices and establish team processes.

Qualifications :

- Overall - 4 years of industry work experience in computer vision, object detection, pattern recognition, artificial intelligence, automation, and/or vision processing.

- 2+ years of relevant experience as a CV Engineer, Data Scientist, Machine Learning Engineer, or related role.

- Experience with common languages (e.g., Python, SQL) and tools (e.g., TensorFlow, PyTorch, distributed training / inference with Spark) in the ML toolkit.

- Knowledge of CUDA, OpenCL, OpenGL, and, OpenCV.

- Proficient in at least one of : PyTorch (Preferable), TensorFlow and Keras.

- Coding experience in programming Languages : Python (definite).

- Knowledge of text detection & OCR, human / face detection, generative models, video

analytics, model compression / optimization.

Very good understanding and knowledge of Statistical and ML Concepts :

- Statistics.

- EDA (Univariate/ Bivariate/ Multivariate Analysis).

- Hypothesis Testing.

- Regression/ Classification and Unsupervised Approaches.

- Algorithms (Generic and Bayseian).

- Ensemble approaches.