Machine Learning Engineer

Company Description

Akross IT specializes in building, scaling, and deploying end-to-end AI and Machine Learning solutions that help businesses become smarter. We focus on custom AI/ML model development and AI-powered applications tailored to meet unique business needs.

Our services include full AI lifecycle management from data collection and preprocessing to model deployment and continuous monitoring. Additionally, we offer talent solutions to scale AI initiatives by leveraging skilled AI engineers, data scientists, and ML specialists.

Role Description

We are looking for a Senior Machine Learning Engineer with 5+ years of experience in developing and deploying AI/ML-powered applications. This is a full-time hybrid role based in Hyderabad, with some work-from-home flexibility.

You will play a key role in building and enhancing our SaaS platform, which will require designing, training, and deploying ML models, as well as developing intelligent AI-driven features. You will collaborate with cross-functional teams to create scalable, production-grade solutions that integrate seamlessly into our FastAPI + Python backend and React-based frontend.

Key Responsibilities:

• Design, develop, and deploy advanced machine learning models and algorithms.
• Collaborate with product and engineering teams to build AI-powered features for our SaaS platform.
• Handle the full AI lifecycle — from data acquisition and preprocessing to production deployment and performance monitoring.
• Optimize and scale ML models for high-performance real-time applications.
• Continuously research and implement the latest advancements in AI/ML to enhance platform capabilities.
• Ensure models are robust, explainable, and meet business requirements.

Qualifications & Skills:

• 5+ years of hands-on experience in building and deploying ML/AI applications in production.
• Strong foundation in Computer Science, Statistics, and Applied Mathematics.
• Proven expertise in Pattern Recognition, Neural Networks, and Algorithm Development.
• Proficiency in Python and experience with FastAPI for backend services.
• Experience integrating ML models with modern frontend frameworks (React preferred).
• Strong knowledge of model evaluation, optimization, and scaling techniques.
• Familiarity with cloud-based AI deployments (AWS, Azure, GCP).
• Excellent problem-solving, analytical, and collaboration skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

Nice to Have:

• Prior experience developing AI-powered SaaS products.
• Experience with MLOps tools for CI/CD, model monitoring, and automation.
• Exposure to real-time inference and large-scale data pipelines.