Senior Data Scientist

Senior Data Scientist

Experience: 5+ years | Location: Bengaluru (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.

4 years as relevant experience into Data Science

large-scale

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.