AI / ML Engineering Manager

About TaskUs :

TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moments notice, and mastering consistency in an ever-changing world.

What We Offer :

At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

What can you expect in an AI ML Engineering Manager role with TaskUs?

The AI ML Engineering Manager will lead our team in developing cutting-edge Gen AI and ML solutions using Python, GPT Models, AWS Lex, OpenAI, AWS, OpenCV, and other technologies. The ideal candidate will be responsible for overseeing the design, development, and deployment of AI / ML models and systems, as well as managing and mentoring a team of AI / ML Engineers. The successful candidate will have a strong background in AI / ML engineering, programming, and project management.

Key Responsibilities :

• Strong programming skills : AI and ML engineers need to have a strong foundation in programming languages such as Python, Java, and C .
• Knowledge of statistics and probability : AI and ML engineers should have a solid understanding of statistics and probability theory to build and optimize algorithms.
• Data modeling and evaluation skills : AI and ML engineers should be skilled in data modeling and evaluation, including data pre-processing, feature engineering, and model selection.
• Familiarity with machine learning algorithms : AI and ML engineers should have a deep understanding of various machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience with deep learning frameworks : AI and ML engineers should be proficient in using popular deep learning frameworks such as TensorFlow, Keras, and PyTorch.
• Knowledge of cloud computing platforms : AI and ML engineers should have a strong understanding of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
• Ability to work with big data : AI and ML engineers should be familiar with big data technologies such as Apache Hadoop, Spark, and NoSQL databases.
• Strong problem-solving skills : AI and ML engineers need to be skilled at identifying problems, breaking them down into smaller components, and developing solutions.
• Excellent communication and collaboration skills : AI and ML engineers need to be effective communicators and able to collaborate effectively with cross-functional teams.
• Continuous learning and curiosity : AI and ML engineers need to be constantly learning and keeping up with the latest advancements in AI and ML to stay competitive in the field.

Required Qualifications :

Education / Certifications :

Work Location / Work Schedule / Travel :

How We Partner To Protect You :

TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI :

In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL : TaskUs Careers .

Locations : IND - Chennai - CH