Data Scientist

Anarock Property Consultants; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Anarock Property Consultants in Mumbai is seeking a hands-on machine learning engineer to implement and deploy ML and DL models, including transformer models, to tackle complex business challenges. You will conduct EDA, feature engineering, build scalable data pipelines with data engineers, and work with stakeholders to translate requirements into real-world ML solutions.

3+ years of experience and strong Python and ML/DL framework skills are required.

Qualifications

• 3+ years of hands-on experience in machine learning with a strong focus on deep learning, transformers, and LLMs.
• Proficient in Python and ML/DL frameworks with expertise in EDA, feature engineering, and model evaluation.
• Experienced in deploying, fine-tuning, and scaling ML models in production environments.
• Skilled in working with large structured and unstructured datasets and building scalable data pipelines with data engineers.
• Strong collaborator with the ability to translate business problems into effective, real world ML solutions.

Responsibilities

• Implement and deploy machine learning and deep learning models to solve complex business challenges.
• Conduct exploratory data analysis and feature engineering to extract meaningful insights from large structured & unstructured datasets.
• Evaluate and fine-tune deep learning models, including transformer models, for optimal performance, scalability, and efficiency.
• Stay abreast of the latest advancements in machine learning and deep learning and contribute to the adoption of new technologies within the team.
• Collaborate with data engineers to build and maintain scalable data pipelines for model training and inference.
• Work closely with data scientists and stakeholders to understand project goals and requirements.
• Contribute to the development and maintenance of a robust and scalable machine learning infrastructure.

Skills

Python

Deep Learning

Transformers

LLMs

EDA

Feature Engineering

Model Evaluation

Production Deployment

Data Pipelines

Collaboration

Tools

TensorFlow

PyTorch

Job description

Role & responsibilities

• Implement and deploy machine learning and deep learning models to solve complex business challenges.
• Conduct exploratory data analysis and feature engineering to extract meaningful insights from large structured & unstructured datasets.
• Evaluate and fine-tune deep learning models, including transformer models, for optimal performance, scalability, and efficiency.
• Stay abreast of the latest advancements in machine learning and deep learning and contribute to the adoption of new technologies within the team.
• Collaborate with data engineers to build and maintain scalable data pipelines for model training and inference.
• Work closely with data scientists and stakeholders to understand project goals and requirements.
• Contribute to the development and maintenance of a robust and scalable machine learning infrastructure. Requirements:
• 3+ years of hands-on experience in machine learning with a strong focus on deep learning, transformers, and LLMs.
• Proficient in Python and ML/DL frameworks with expertise in EDA, feature engineering, and model evaluation.
• Experienced in deploying, fine-tuning, and scaling ML models in production environments.
• Skilled in working with large structured and unstructured datasets and building scalable data pipelines with data engineers.
• Strong collaborator with the ability to translate business problems into effective, real world ML solutions.