Data Scientist

Slate Technologies Inc.; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Paid time off

Healthcare coverage

Career development

Job summary

Slate Technologies, Inc. in Bengaluru, India, seeks a Senior Data Scientist to design and deploy AI systems for smart buildings and infrastructure. You will own end-to-end data pipelines, build NLP and multimodal models, and ship production-grade code in a cloud-native environment.

You will work with unstructured data, develop agentic workflows with LLMs, and deliver scalable AI solutions in a fast-paced startup setting. 7+ years of production ML/AI experience and strong Python required.

Qualifications

• 7+ years building production ML/AI systems with recent LLM/AI agent experience.
• Strong Python engineer with focus on clean, scalable code.
• Experience with unstructured data and images at scale.
• Hands-on with agent patterns (tool use, function calling, planning, memory).
• Experience deploying AI systems on cloud providers in micro-services.

Responsibilities

• Analyze product requirements and develop data science solutions.
• Develop data engineering scripts to build training datasets.
• Build deep learning NLP and multimodal models.
• Write production-grade Python code for modeling and inference.
• Own AI solutions end-to-end: data pipelines, modeling, deployment, monitoring.
• Design agentic workflows using LLMs, tools, retrieval and memory.

Skills

Python programming

LLMs

NLP

Multimodal modeling

AWS/GCP/Azure

Data pipelines

Model deployment

PyTorch/TensorFlow

Unstructured data handling

Education

Bachelor’s or Master’s Degree in Computer Science

Tools

PyTorch

TensorFlow

Keras

NumPy/SciPy/Pandas

Job description

Company Profile

At Slate Technologies we are bringing fresh minds and tools to the world of Smart Buildings, Smart Infrastructure, Sustainability, architecture, and construction. With a credible team from world‑renowned institutions, we are leading the way in transforming the way buildings and infrastructure come to life.

Position: Senior Data Scientist

Location: Bengaluru, India

Position Summary: Exciting career opportunity in a worldwide engineering organization, in designing and implementing a new generation of products and solutions that are transformational in nature. In this position, you will play a key role in building a state‑of‑the‑art AI system to modernise the Smart Buildings and Infrastructure space. This is a unique opportunity to work with some of the brightest minds in this space and create AI solutions from ground up.

Roles & Responsibilities

• Analyze product requirements and come up with data science solutions
• Identify and develop data engineering scripts (example: parsers) necessary to build training datasets
• Build deep learning NLP model(s), customise as needed to meet the requirements
• Write production‑quality Python code for model development and as well as for inference
• Ability to think out‑of‑the‑box and implement custom loss functions and quantitative methods to increase accuracy of AI solutions
• Build and ship AI agent‑driven systems that reason, plan, and act across real‑world, messy data
• Design agentic workflows using LLMs, tools, retrieval, and memory to solve high‑impact product problems
• Work hands‑on with unstructured and multimodal data (text, PDFs, drawings, images, logs)
• Develop multimodal models (text + vision) for document understanding and contextual reasoning
• Own AI solutions end‑to‑end: data pipelines, modelling, deployment, monitoring, and iteration
• Write production‑grade Python code and rapidly prototype, test, and ship in a cloud‑native environment
• Take complete ownership of the solution in all phases – analysis, proof of concept, data engineering, model development, model tuning, and model implementation

Desired Profile of the Candidate

• 7+ years of experience building production ML / AI systems, with recent experience in LLMs or AI agents in data science
• Strong Python engineer with a bias toward clean, scalable, and maintainable code
• Proven experience working with unstructured data and images at scale
• Hands‑on experience with agent patterns (tool use, function calling, planning, memory)
• Good proficiency and hands‑on experience with LLMs and advanced AI models
• Experience deploying AI systems on AWS, GCP, or Azure in micro‑services architectures
• Thrives in fast‑moving startup environments with high ownership and ambiguity
• Strong Python skills with focus in data engineering and data analysis. Proficiency with data mining algorithms such as Scikit‑Learn, NumPy, SciPy and Pandas
• Strong understanding of machine learning models, model training, and hyper‑parameter tuning
• Working knowledge of deep learning models, loss functions, and accuracy measures
• Hands‑on proficiency with PyTorch / TensorFlow / Keras
• Experience in NLP solutions preferred
• Experience in parsing PDF and text documents preferred
• Experience with statistical regression, neural nets, deep learning, decision trees, SVM, ensembles is expected
• Multi‑cloud experience and proficiency with providers AWS, GCP or Azure
• Comfortable working in a micro‑services environment
• Self‑motivated, enthusiasm to build next generation AI systems

Desired Years of Experience

• Passion for developing robust software and writing maintainable code
• Proven ability to work in a fast paced, highly responsive agile team with rapidly evolving requirements and architectures
• Excellent verbal and written communication skills

Qualitative Skills / PG Qualification

Bachelor’s or Master’s Degree in Computer Science or related fields

Perks & Benefits

At Slate, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development strategies.

If this sounds like you, you should apply right away so we can discuss how you can be a part of this exciting, fast‑paced organization!

Slate Technologies, Inc is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.