AI / ML Engineer

Arohak Technologies; Hyderabad; On-site; INR 11,407,000 - 17,110,000; Full time

Job summary

Arohak Technologies seeks an AI/ML Engineer to design, develop, and deploy end-to-end machine learning models and scalable data pipelines. The role covers data analysis, feature engineering, model training, experimentation, and statistical evaluation to ensure high-quality model performance.

You will deploy models into production via APIs and cloud platforms, collaborating with engineering, data, and product teams to deliver AI-powered solutions aligned with business goals.

Qualifications

• Bachelor's degree in CS, DS, Eng, Math, or related field.
• 3+ years in ML/DS projects or experience (preferred).
• Strong programming skills in Python or R.
• Hands-on ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with Pandas and NumPy for data processing.
• Knowledge of SQL for data analysis and data extraction.
• Experience deploying ML models on AWS, Azure, or Google Cloud.

Responsibilities

• Design, develop, and deploy end-to-end ML models and data pipelines.
• Data preprocessing, feature engineering, and model training.
• Conduct experimentation and statistical evaluation to improve performance.
• Build scalable data workflows for training and inference.
• Deploy ML models into production via APIs and cloud platforms.
• Monitor performance and continuously optimize accuracy, reliability, and efficiency.
• Collaborate with software, data, and product teams to deliver AI solutions.
• Work with structured and unstructured data to build predictive models.
• Ensure scalability, maintainability, and performance of AI systems.
• Maintain documentation for models, experiments, and workflows.

Skills

Python

R

SQL

Cloud platforms

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Job description

Job Details

• Location: USA and INDIA
• Type: Full-Time

Job Summary

We are seeking an AI / ML Engineer to design, develop, and deploy end-to-end machine learning models and scalable data pipelines. The role involves working on data analysis, feature engineering, model training, experimentation, and statistical evaluation to ensure high-quality model performance.

You will contribute to building intelligent systems by deploying models into production environments using APIs and cloud platforms while continuously improving model accuracy, reliability, and efficiency. This role requires close collaboration with engineering, data, and product teams to deliver AI-driven solutions aligned with business goals.

Key Responsibilities

• Design, develop, and deploy end-to-end machine learning models and data pipelines
• Perform data preprocessing, feature engineering, and model training
• Conduct experimentation and statistical evaluation to improve model performance
• Build scalable data workflows for training and inference
• Deploy machine learning models into production environments using APIs and cloud platforms
• Monitor model performance and continuously optimize accuracy, reliability, and efficiency
• Collaborate with software engineers, data engineers, and product teams to deliver AI-powered solutions
• Work with structured and unstructured data to build predictive and analytical models
• Ensure scalability, maintainability, and performance of AI systems
• Maintain documentation for models, experiments, and implementation workflows

Required Qualifications

• Bachelor s degree in Computer Science, Data Science, Engineering, Mathematics, or related field (or equivalent practical experience)
• Hands-on experience in machine learning or data science through academic projects, internships, or professional experience (3+ years preferred but not mandatory)
• Strong programming skills in Python or R
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience working with data processing libraries such as Pandas and NumPy
• Knowledge of SQL for data analysis and data extraction
• Understanding of machine learning algorithms, statistics, and model evaluation techniques
• Experience deploying machine learning models on cloud platforms such as AWS, Azure, or Google Cloud Platform
• Strong analytical thinking and problem-solving skills
• Ability to collaborate effectively in cross-functional teams

Good to Have

• Experience with Docker and Kubernetes
• Familiarity with MLOps practices and model lifecycle management
• Experience building REST APIs for ML model deployment
• Knowledge of data pipelines and ETL workflows
• Experience with version control tools such as Git
• Understanding of distributed systems or scalable architectures
• Exposure to Agile or Scrum methodologies
• Experience with monitoring and logging tools

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.