Senior Software Engineer - AI/ML

iSpace Software Solutions India Private Limited; Hyderabad; Hybrid; INR 350,000 - 600,000; Full time

Job summary

iSpace Software Solutions India Private Limited is seeking a highly skilled Machine Learning Engineer to design, build, and deploy ML models at scale. You will own end-to-end ML pipelines, from data preprocessing to production deployment, utilizing modern frameworks and MLOps practices.

You will also collaborate with analytics teams to design dashboards that provide actionable insights for stakeholders. The role emphasizes core ML engineering competencies, model development, data pipelines, and

Qualifications

• 5–7 years of experience in ML engineering or applied machine learning.
• Proficient in Python and libraries like Pandas, Dask, NumPy, Scikit-learn.
• Hands-on experience with PyTorch or TensorFlow for model development.
• Solid understanding of MLOps tools: Airflow, Kedro, MLflow (or equivalents).
• Experience deploying ML models in production environments (APIs, batch jobs, streaming).
• Hands-on experience with big-data and lakehouse platforms such as Apache Spark, Databricks, and Snowflake for large-scale data processing and ML pipelines.
• Strong problem-solving skills and ability to work in agile, fast-paced environments.

Responsibilities

• Design and build end-to-end ML pipelines from data preprocessing to production deployment.
• Develop and optimize ML models for scalable, real-time or batch inference.
• Collaborate with analytics teams to design dashboards and actionable visualizations.

Skills

Python programming

ML engineering

Data preprocessing

Agile collaboration

Tools

Pandas

Dask

NumPy

Scikit-learn

PyTorch

TensorFlow

Airflow

Kedro

MLflow

Apache Spark

Databricks

Snowflake

Job description

We are looking for a highly skilled Machine Learning Engineer with hands-on experience in designing, building, and deploying ML models at scale. You will work on end-to-end ML pipelinesfrom data preprocessing to production deploymentleveraging modern frameworks and MLOps practices. This role is ideal for someone who thrives in solving complex problems, optimizing workflows, and applying AI to deliver impactful business solutions. Additionally, you will collaborate with analytics teams to design dashboards and visualizations that provide actionable insights for stakeholders. This is a pure Machine Learning role: candidates will be evaluated on core ML engineering competenciesmodel development, data pipelines, and MLOps

REQUIRED QUALIFICATIONS

• 5–7 years of experience in ML engineering or applied machine learning.
• Strong proficiency in Python and libraries like Pandas, Dask, NumPy, Scikit-learn.
• Hands-on experience with PyTorch or TensorFlow for model development.
• Solid understanding of MLOps tools: Airflow, Kedro, MLflow (or equivalents).
• Experience deploying ML models in production environments (APIs, batch jobs, streaming).
• Hands-on experience with big-data and lakehouse platforms such as Apache Spark, Databricks, and Snowflake for large-scale data processing and ML pipelines.
• Strong problem-solving skills and ability to work in agile, fast-paced environments.