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Urgent! Data Scientist Job Opening In jaipur – Now Hiring Three Across

Data Scientist



Job description

Job Title: Data Scientist

Experience: 5+ Years

Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram

Industry: Must be from BPO/KPO or Healthcare Org.

or Shared Services


Key Responsibilities:

AI/ML Development & Research

  • Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.

  • Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.

  • Build agent-based AI systems with autonomous decision-making capabilities.

  • Conduct cutting-edge research on emerging AI technologies and explore their practical applications.

  • Perform model evaluation, validation, and continuous optimization to ensure high performance.


Cloud Infrastructure & Full-Stack Development:

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

  • Develop full-stack applications that seamlessly integrate AI models with modern web technologies.

  • Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).

  • Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.

  • Design and optimize cloud infrastructure to support high-performance computing workloads.


Data Engineering & Database Management

  • Design and implement data pipelines to enable large-scale data processing and real-time analytics.

  • Work with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.

  • Optimize database performance to support machine learning workloads and real-time applications.

  • Implement robust data governance frameworks and ensure data quality assurance practices.

  • Manage and process streaming data to enable real-time decision-making.


Leadership & Collaboration

  • Mentor junior data scientists and assist in technical decision-making to drive innovation.

  • Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.

  • Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.

  • Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.

Required Qualifications:

  • Education & Experience
  • Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.

  • 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.

  • 3+ years of experience working 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: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.

  • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.

  • Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.

  • Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.

  • Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.


Technical Skills - Development & Infrastructure

  • Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.

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

  • Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).

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

  • MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.

  • Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.


Non Negotiables:

  • Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
  • Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
  • Implement CI/CD pipelines for ML model deployment and monitoring
  • Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
  • Machine Learning: Scikit-learn
  • Deep Learning: TensorFlow
  • Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda)
  • vector databases and embeddings (Pinecone, Weaviate, Chroma)
  • Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.


If interested, please share your resume to


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