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Data Scientist

Jash Data Sciences

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Job Responsibility:

  • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems
  • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques
  • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions
  • Build and deploy production-ready LLM applications using modern frameworks and best practices
  • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models
  • Perform prompt engineering and optimization to maximize LLM performance for specific use cases
  • Implement agentic AI systems and multi-agent workflows for complex automation tasks
  • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks
  • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools
  • Optimize database performance and create efficient SQL queries
  • Deploy and monitor ML models in production using MLOps practices and containerization
  • Practice active listening to understand project requirements and team inputs
  • Collaborate with clients to translate business requirements into data science solutions
  • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats
  • Apply responsible AI principles and ensure ethical considerations in model development
  • Demonstrate punctuality and a strong sense of ownership in all tasks
  • Plan strategically and multitask efficiently to meet project deadlines
  • Employ critical thinking to break down problems and debug effectively
  • Take initiative and be biased towards action to drive project progress

Requirements:

  • Strong Python programming skills with hands-on project experience
  • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods)
  • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas
  • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning
  • Experience with NLP, Computer Vision, or Time Series Analysis
  • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models)
  • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy)
  • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS)
  • Strong prompt engineering skills and understanding of prompt optimization techniques
  • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them
  • Understanding of LLM evaluation metrics and benchmarking methodologies
  • Familiarity with agentic AI architectures and multi-agent systems
  • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases)
  • Proficiency with containerization using Docker and orchestration with Kubernetes
  • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring
  • Understanding of CI/CD pipelines for ML applications
  • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django)
  • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization
  • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar)
  • Familiarity with both SQL and NoSQL databases
  • Strong critical thinking and problem-solving skills
  • Excellent written and verbal communication abilities
  • Demonstrated ability to work well in a team and independently
  • High degree of flexibility and adaptability to rapidly evolving technologies
  • Understanding of AI safety principles and responsible AI practices
  • Data Scientist I: 0-2 years of hands-on experience in Data Science projects
  • Data Scientist II: 2-5 years of hands-on experience in Data Science projects
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field
  • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

Nice to have:

  • Experience with big data technologies (Spark, Hadoop, Databricks)
  • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker)
  • Knowledge of graph databases and knowledge graph construction
  • Experience with real-time streaming data processing
  • Active participation in data science competitions (Kaggle, DrivenData)
  • Contributions to open-source AI/ML projects or technical blog
  • Experience with multimodal AI models (vision-language models, audio processing)
  • Published research papers or conference presentations
What we offer:
  • Competitive salary commensurate with experience
  • Opportunity to work on diverse, cutting-edge AI/ML projects
  • Collaborative and innovation-driven work environment
  • Rapid growth and continuous learning opportunities
  • Exposure to latest AI technologies and industry best practices

Additional Information:

Job Posted:
February 20, 2026

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