Bizacuity - Machine Learning Engineer - Neural Networks (3-6 yrs)

About BizAcuity :

BizAcuity is a Business Intelligence and Data Analytics product development and consulting company developing solutions for clients across globe in various domains, including Gaming, BFSI, Media, E-Commerce etc.

Established in 2011, BizAcuity has developed and delivered high class solutions to many medium to large clients using the latest and the best technologies in the analytics world.

BizAcuity has developed a product, which is an AI-powered Software-as-a-Service (SaaS) platform that provides visual and predictive analytics using Machine Learning and Artificial Intelligence.

Job Title : Machine Learning (ML) Engineer.

Job Type : Full Time / on BizAcuity payroll.

Job Mode : Onsite/Work from Office | Monday to Friday | Shift 1 (Morning).

Job Location : Hyderabad (Hi-Tech City nearby Image Hospital).

Responsibilities :

- Work experience of 3+ years with Deep Learning and Neural networks.

- Researching new models and machine learning algorithms.

- Designing prototypes and conducting experiments to guide engineering efforts.

- Creating ML applications based on client/customer requirements.

- Tell business stories through model outcomes and data.

- Analyzing test results to improve models.

- Exploring and visualizing data to identify potential issues that might affect model performance.

- Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use.

- Production deployment and maintenance of ML Systems.

Skills required for this position include :

- Advanced math and stats skills (calculus, linear algebra, Bayesian statistics).

- A degree in a related field (math, computer science, statistics).

- Strong teamwork, problem-solving, and analytical abilities.

- Knowledge of data science.

- Proficiency in coding and programming languages (Python, SQL).

- Practical experience with ML frameworks and libraries.

- Knowledge of software architecture, data modeling, and data structures.

- Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud).