AI/ML Engineering Manager
2 months ago
TaskUs People First culture has grown the company to have approximately 45K employees worldwide. We are currently in twenty-three locations across twelve countries, including 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 moment’s notice, and mastering consistency in an ever-changing world.
What We Offer: TaskUs provides world-class benefit packages with competitive industry salaries to all its employees. With well-developed departments, such as Total Rewards, Wellness, HR, and Diversity, we continuously thrive in supporting a People First culture. We are known for our inclusiveness and community impact. We also promote internal mobility and professional development at every step of an employee's career within TaskUs. Come be part of TaskUs that supports People First by applying today
What can you expect in a 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.- 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.- 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.- 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:
- With 3-5 years of experience in AI/ML engineering, with a track record of designing and deploying successful AI/ML models and systems.- At least 1 year of experience in people/team management.- Strong programming skills in Python, with experience using Python, AWS, PyTorch, OpenCV and other existing and emerging AI/ML technologies (OpenAI, GPT etc..).- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.- Strong analytical and problem-solving skills, with the ability to think creatively and outside the box.- Experience working in an Agile development environment is a must.- Can start ASAP or within 30 days.
Education / Certifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.- Master's degree in a relevant field.
Work Location / Work Schedule / Travel:
- TaskUs Chennai office only- Mid Shift Schedule- 100% onsite work setup
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
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