Senior Data Scientist

Simform

full-time

Posted on: 9/4/2025

Location: 🇮🇳 India

✨ AI Apply

Senior

AirflowAWSAzureCloudDockerETLKubernetesPythonPyTorchTensorflow

About the role

Lead the design, development, and implementation of enterprise-scale AI/ML solutions optimized for real-world applications
Collaborate with cross-functional teams to identify business requirements and translate them into robust AI/ML strategies
Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents
Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms
Conduct analysis of data and identify trends, providing actionable insights to stakeholders
Mentor and guide junior data scientists, promoting a culture of innovation and continuous learning
Engage with clients to communicate project updates, understand their analytical needs, and deliver tailored AI solutions
Apply strong analytical skills to solve complex problems and improve existing models and algorithms
Build and manage ETL pipelines, deploy models to production, and monitor models (Docker, Kubernetes, MLflow, Airflow)
Build reproducible pipelines for training and serving models

Minimum 5 years of experience in developing and implementing AI/ML-powered services and algorithms
Experience with deep learning models for structured/unstructured data
Proven track record of building enterprise-scale AI/ML solutions
Extensive hands-on experience with generative AI and large language models (LLMs)
Hands-on experience with generative frameworks (LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, Agents)
Proficiency in Python
Strong understanding and hands-on experience with ML frameworks such as PyTorch and TensorFlow
Familiarity with cloud ML stacks, including Azure and AWS
Good understanding of ETL processes and working with data pipelines
Model evaluation and validation techniques (cross-validation, hyperparameter tuning)
Time Series Analysis and Forecasting
Model deployment and monitoring experience (Docker, Kubernetes, MLflow, Airflow)
Building reproducible pipelines for training and serving models
Strong analytical and problem-solving skills
Excellent communication skills and ability to lead cross-functional teams
Experience in both team leadership and as an individual contributor
Experience engaging with clients and stakeholders to align AI/ML solutions with business objectives