Data Scientist (Freelancer)

Soul Ai; Chennai; Remoto; INR 1.200.000 - 2.400.000; Tempo parcial

Resumo da vaga

Soul AI in India is seeking top-tier Data Scientists for a contract-based opportunity to design, develop, and deploy scalable data science solutions. You will work with industry leaders on predictive modeling, ML model deployment, and MLOps, across remote or onsite settings.

The role emphasizes deep learning, ML pipelines, and cloud platforms with collaboration across engineering teams and business units. Excellent analytics and communication are essential.

Qualificações

• Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling.
• Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure).
• Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen.

Responsabilidades

• Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams.
• Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights.
• Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights.
• Own the full lifecycle of data science projects from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring.
• Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models.

Conhecimentos

Python

Pandas

NumPy

Scikit-learn

XGBoost

PyTorch

TensorFlow

Spark

Dask

AWS

GCP

Azure

Docker

Kubernetes

MLflow

Tableau

Kafka

NLP

Flink

GDPR

CCPA

Ferramentas

Apache Spark

Dask

AWS

GCP

Azure

Docker

Kubernetes

MLflow

Tableau

Plotly Dash

Kafka

Flink

Descrição da vaga

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Data Scientists for a unique job opportunity to work with the industry leaders.

Who can be a part of the community

We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders.

Whats in it for you

• Pay above market standards.
• The role is going to be contract based with project timelines from 2 12 months, or freelancing.
• Be a part of an Elite Community of professionals who can solve complex AI challenges.

Work location could be.

• Remote (Highly likely).
• Onsite on client location.
• Deccan AIs OfficeHyderabad or Bangalore.

Responsibilities.

• Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams.
• Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights.
• Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights.
• Own the full lifecycle of data science projects"”from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring.
• Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models.

Required

• Skills:
• .Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling.
• Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure).
• Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen.

Nice to Have.

• Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink).
• Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices.
• Contributions to open-source projects or published research.