▷ [Only 24h Left] Data Scientists

Job Description

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 moment's 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.

Job Description Summary

Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models.

Job Description

Key Responsibilities

AI/ML Development & Research

. Design, develop, and deploy advanced machine learning and deep learning models for complex business problems

. Implement and optimize Large Language Models (LLMs) and Generative AI solutions

. Build agentic AI systems with autonomous decision-making capabilities

. Conduct research on emerging AI technologies and their practical applications

. Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

. Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP

. Develop full-stack applications integrating AI models with modern web technologies

. Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)

. Implement CI/CD pipelines for ML model deployment and monitoring

. Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

. Design and implement data pipelines for large-scale data processing

. Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)

. Optimize database performance for ML workloads and real-time applications

. Implement data governance and quality assurance frameworks

. Handle streaming data processing and real-time analytics

Leadership & Collaboration

. Mentor junior data scientists and guide technical decision-making

. Collaborate with cross-functional teams including product, engineering, and business stakeholders

. Present findings and recommendations to technical and non-technical audiences

. Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

. Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field

. 5+ years of hands-on experience in data science and machine learning

. 3+ years of experience with deep learning frameworks and neural networks

. 2+ years of experience with cloud platforms and full-stack development

Technical Skills - Core AI/ML

. Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms

. Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers

. Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering

. Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation

. Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills - Development & Infrastructure

. Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

. Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI

. Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)

. Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes

. MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks

. Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

. Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)

. Knowledge of LangChain, LlamaIndex, or similar LLM frameworks

. Experience with model compression and edge deployment

. Familiarity with distributed computing and parallel processing

. Experience with computer vision and NLP applications

. Knowledge of federated learning and privacy-preserving ML

. Experience with quantum machine learning

. Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

. Strong mathematical foundation in statistics, linear algebra, and optimization

. Ability to implement algorithms from research papers

. Experience with model interpretability and explainable AI

. Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

. Strong analytical and critical thinking skills

. Ability to translate business requirements into technical solutions

. Creative approach to solving complex, ambiguous problems

. Experience with rapid prototyping and experimentation

Communication & Leadership

. Excellent written and verbal communication skills

. Ability to explain complex technical concepts to diverse audiences

. Strong project management and organizational skills

. Experience mentoring and leading technical teams

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

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