AI ML Engineer
AI ML Engineer
Posted on :
20-06-2024
Employer Active
1 Vacancy
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Jobs by Experience
5years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
20-06-2024
Job Description
Company Overview
Lifesight is a fastgrowing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300 customers across 5 offices in the US Singapore India Australia and the UK.
Our mission is to make it easy for nontechnical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth.
Position Overview
This role will be a part of the Foundations Data Science / Machine Learning team at Lifesight which builds analytics products that utilize data science machine learning and cuttingedge CV/NLP deep learning based models to provide insights for the measurements and attribution suite of products.
Requirements
You are a great fit if you have:
- Bachelors degree in Computer Science Mathematics Statistics or equivalent practical experience
- Proven 5 years of experience as a Data Scientist or similar role with a strong track record of successfully delivering datadriven insights and solutions.
- Solid understanding of statistical analysis predictive modeling and machine learning algorithms.
- Proficiency in programming languages such as Python R and SQL with experience in data manipulation statistical analysis and machine learning libraries.
- Modeling skills Use adequate modeling techniques to produce relevant models.
- Evaluation skills Assess quality and robustness of models to meet business objectives.
- Identify approaches to improve model accuracy and effectiveness of analytics
- Define output of use cases for end user consumption to perform optimization analytics
Benefits
What is in it for you
As a team we are concerned with not only the growth of the company but each other s personal growth and well being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people s lives easier our team also bonds over our shared love for all kinds of tea movies & fun filled Friday s events with a prioritizing healthy worklife balance.
1. Working for one of the fastest growing and successful MarTech companies in times
2. Opportunity to be part of an early member of the core team to build a product from scratch
starting from making tech stack choices driving and influencing the way to simplify building
complex products.
3. Enjoy working in small teams and a non bureaucratic environment
4. Enjoy an environment that provides high levels of empowerment and space to achieve your
Objectives and grow with organization.
5. Work in a highly profitable and growing organization with opportunities to accelerate and
shape your career
6. Great benefits apart from competitive compensation & benefits
7. Above all a fun working environment.
Why Join us
Be part of building a Zero to One SaaS product
Discover amazing career opportunities being the initial core team member driving tech strategy of Lifesight.
We have a growth plan for everyone
Rise to rewarding challenges enjoy attractive incentives competitive compensation and more ...
Develop your skills you will enabled with program to help you with limitless resources for your learning
You are perfect for the role if you have.. Master s or PhD in Computer Science, Statistics, Mathematics, or a related field. Minimum of 5 years of experience in data science or a related field. Proven track record in developing and implementing machine learning models. Proficiency in programming languages such as Python or R. Strong understanding of statistical modeling, machine learning, deep learning,and data mining techniques. Experience in marketing measurement and intelligence, particularly in marketing mix modeling and causal inference, is highly desirable. Excellent communication and team collaboration skills.
Employment Type
Full Time
Key Skills
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