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Salary
≈ $16k – $42k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 6+ years exp

First seen by Alion on Aug 25, 2026.

Overview
Company
Impact
Profile match
Algoleap is a Hyderabad-based digital product engineering and AI services firm offering software engineering, AI solutions, data, cloud and DevOps, automation and technology advisory to enterprises. Operating as Algoleap Technologies Pvt Ltd from HITEC City in Hyderabad, with a US address in Plainfield, Illinois, it works in heavily regulated industries on client lifecycle management, sustainable finance, data strategy and cloud adoption, and runs Algoleap Digital Studios. Its openings, mostly in Hyderabad and Bengaluru, include .NET, FileNet, Salesforce and backend developers, AI engineers, data scientists and architects, Kubernetes and Azure engineers and database administrators.

Job Summary :

Contribute to technical design discussions, code reviews, documentation, and engineering best practices.

Stay current with emerging AI/ML technologies, frameworks, and industry trends.

Required Skills & Experience :

- Bachelor's degree in Computer Science or equivalent practical experience.

- 6+ years of software engineering experience, with at least 2 years focused on AI/ML.

- Strong proficiency in Python.

- Hands-on experience with AI/ML frameworks such as PyTorch and/or TensorFlow.

- Strong understanding of machine learning concepts, model evaluation, and system design.

- Good knowledge of MLOps and the end-to-end lifecycle of AI-powered applications.

- Experience integrating AI/ML models into production systems through APIs and data pipelines.

- Experience with at least one major cloud platform: AWS, Azure, or GCP.

- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes.

- Strong software engineering, debugging, and problem-solving skills.

- Ability to design scalable, maintainable, and production-ready AI solutions.

Preferred Qualifications :

- Experience building and deploying enterprise-scale AI/ML applications.

- Familiarity with CI/CD practices for ML and AI applications.

- Experience with model monitoring, performance optimization, and production troubleshooting.

- Knowledge of modern AI technologies such as Generative AI, LLMs, or NLP is an advantage.

- Strong communication and collaboration skills.

- Experience working in an Agile/Scrum environment.

Tech Stack :

- Programming: Python

- AI/ML: PyTorch, TensorFlow, Machine Learning

- MLOps: ML Lifecycle, Model Deployment, Monitoring, Data Pipelines

- Cloud: AWS / Azure / GCP

- Containers: Docker, Kubernetes

- Integration: APIs, Data Pipelines

- Engineering: System Design, Software Development, Testing & Deployment

Skills

Machine Learning, Python, Tensorflow, PyTorch, MLOps, Artificial Intelligence

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