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Large-Scale Data Modeling Specialist
Large-Scale Data Modeling SpecialistAkaike Technologies • Bengaluru, Republic Of India, IN
Large-Scale Data Modeling Specialist

Large-Scale Data Modeling Specialist

Akaike Technologies • Bengaluru, Republic Of India, IN
1 day ago
Job description

Senior Data Scientist

Experience : 5+ years | Location : Bengaluru, Chennai (Hybrid)

Akaike Technologies is a dynamic and innovative AI-driven company dedicated to building impactful solutions. Our mission is to empower businesses by harnessing the power of data and AI to drive growth, efficiency, and value. We foster a culture of collaboration, creativity, and continuous learning.

Experience Pre-Requisite : Having 5 years of experience, of which at least 4 years as relevant experience into Data Science

Job Description :

We are seeking an experienced and highly skilled Senior Data Scientist to join our team in Bengaluru. This role focuses on driving innovative, large-scale solutions using cutting-edge Classical Machine Learning, PySpark, Spark SQL, and Generative AI. The ideal candidate will possess a blend of deep technical expertise, strong business acumen, effective communication skills, sense of ownership & be motivated towards establishing quantifiable business impact . We require a proven track record in designing, developing, and real-time deploying scalable ML / DL pipelines and LLM Agents in a fast-paced, collaborative environment.

Key Responsibilities :

Large-Scale Data Handling, PySpark, & Databricks Deployment

  • Efficiently handle and model billions of data points using multi-cluster data processing frameworks ( PySpark , Spark SQL ).
  • Expertise on Databricks / AWS is a must have : Ability to design, write, scale, and monitor end-to-end ML Pipelines on Databricks / AWS.
  • Proven expertise to run and manage Databricks data pipelines in real time for low-latency decision-making.
  • Develop and implement scalable deployment pipelines using Docker and AWS services (ECR, Lambda, Step Functions).

Classical Machine Learning

  • Owning the entire workstreams end to end, from use-case identification, to initial designs & POC by building custom machine learning solutions as needed till the business impact calculation of the use-case while ensuring modularity, scalablity, and production-ready codebase.
  • Design and implement custom models, loss functions and be able to handle nuanced conversations of trade offs between various modelling choices.
  • Apply specialized modeling for marketing scenarios (Targeting, Budget optimisation, Churn) and data limitations (Sparse / incomplete labels, Single class learning).
  • Generative AI & Large Language Models :

  • Practical experience in building LLM-ready Data Management layers for large-scale structured and unstructured data.
  • Apply foundational understanding of LLM Agents and multi-agent systems (e.G., Agent-Critique, ReACT , Agent Collaboration), advanced prompting, LLM evaluation, confidence grading , and Human-in-the-Loop systems .
  • Team Mentorship and Stakeholder Management.

  • Mentor, support and manage a cross-functional team.
  • Bring in structure across the client engagement - both internally as well as externally, with effective and top down communication.
  • Act as the primary contact for clients, translating complex data needs into tasks. Present data insights to stakeholders, highlighting business impacts. Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Must Have Technical Skills

    Data Pipelines, PySpark & Databricks

  • Proficiency in Python and its data science ecosystem (NumPy, Pandas, Dask, PySpark ) for large-scale data processing .
  • Expert, hands-on experience with Databricks for MLOps, pipeline orchestration, and real-time deployment.
  • Ability to perform effective feature engineering by understanding complex business objectives.
  • Core Machine Learning & Deep Learning

  • In-depth knowledge of Classical ML : Tree Based Models, GLMs’, Clustering Models etc.
  • Deep Learning : ANN, 1D / 2D / 3D Convolutional Neural Networks (ConvNets) , LSTMs, Transformer models.
  • Strong proficiency in PU learning , single-class learning , representation learning , alongside traditional ML approaches.
  • Advanced understanding and application of model explainability techniques (e.G., SHAP, LIME).
  • Hands-on experience with ML / DL libraries such as Scikit-learn, TensorFlow / Keras, and PyTorch .
  • Others

  • Experience utilizing large-scale language models (GPT-4, Mistral, Llama, Claude) through prompt engineering and custom finetuning .
  • Code Versioning Systems : Github, Git
  • Must Have Soft Skills

  • Communication Skills : Of all the things, this is perhaps the most important soft skill for us, you must be able toCapture the attention of your audience - usually in client calls Succinctly put across your ideas to your team members Bring clarity of thought and next steps to the table and present it well.
  • Presentation Skills : Be able to visually present your ideas on a white board Be able to build compelling presentation for CxOs in a top down manner with an angle of business impact in mind.
  • Problem Solving Skills : Be able to leverage various internal tools, client datasets to craft a problem in shortest time possible. Be able to make trade-offs keeping the timelines in mind.
  • Relevant to Have

  • Background in Pharma Domain.
  • Knowledge of Recommender Systems & Next Best Action Systems.
  • Benefits and Perks

    Competitive ESOP grants.

    Support for publishing papers and attending academic / industry conferences.

    High visibility across all functions at Akaike.

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    Data Modeling Specialist • Bengaluru, Republic Of India, IN

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