Job Description

Who We Are

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation, and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people.

Why Escalent? Once you join our team, you will have the opportunity to...

Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more.
Gain exposure to a rich variety of research techniques from knowledgeable professionals.
Enjoy a remote first/hybrid work environment with a flexible schedule.
Obtain insights into the needs and challenges of your clients—to learn how the world’s leading brands use research.
Experience peace of mind working for a company with a commitment to conducting research ethically.
Build lasting relationships with fun colleagues in a culture that values each person.

Role Overview:

As a Machine Learning Engineer at Escalent in India, you will be part of an award-winning data analytics and advisory firm. In this role, you will be responsible for providing front-line support for products and services, handling service requests within SLAs, monitoring and resolving issues, and acting as a team specialist in specific areas of IT support and products.

Roles & Responsibilities:

Collaborating with data scientists, software engineers, and business stakeholders to understand complex problem domains and define machine learning requirements and objectives
Creating AI algorithm prototypes based on project specifications
Engineering and extracting relevant features from the data to enhance model performance and accuracy
Implementing changes to algorithms to improve AI performance
Troubleshooting and addressing problems with deployed AI to improve user experience
Documenting all steps in the development process
Remaining up to date on the latest innovations in machine learning

Required Skills:

Deep knowledge of Python programming and experience with deep learning frameworks
6-8 years of experience in software design, development, and algorithm related solutions
3+ years of relevant machine learning experience including machine learning, optimization algorithms, deep-learning techniques
Ability to diagnose technical problems, debug code, and automate routine tasks
Understanding of the Agile methodology
Ability to work in a team setting
Organizational and time management skills

Desirable skills: