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Data Scientists

Data Scientists

TaskUsnavi mumbai, India
19 hours ago
Job description

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 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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