Artificial Intelligence & Machine Learning • 2–3 Years
Machine Learning Engineer
Develop, tune, and deploy production machine learning models, feature engineering pipelines, and FastAPI inference services.
Job Overview
We are seeking a Machine Learning Engineer with 2–3 years of hands-on experience building and deploying ML models into production environments. At Akshora AI Labs, ML models do not stay in notebooks—they are packaged into deterministic, low-latency microservices.
About the Role
In this role, you will own end-to-end model development across predictive analytics, intelligent document processing (GST/invoice parsing), and conversational AI workflows. You will design feature engineering pipelines, conduct hyperparameter optimization, wrap trained models in asynchronous FastAPI endpoints, and monitor model drift in production.
Key Responsibilities
- Develop and optimize machine learning models.
- Build data preprocessing and feature engineering pipelines.
- Perform model evaluation and hyperparameter tuning.
- Deploy models through APIs and production environments.
- Work on predictive analytics and AI-driven solutions.
- Containerize ML inference services using Docker for private VPC and on-premise deployments.
- Collaborate with full-stack engineers to integrate ML predictions into enterprise dashboards.
Educational Qualifications
- B.Tech / B.E. / M.Tech / MCA in Computer Science, Artificial Intelligence, Data Science, or related quantitative discipline.
Experience Requirements
Required Experience: 2–3 Years
- 2–3 Years of professional experience developing, evaluating, and deploying machine learning models in production.
- Demonstrated ability to serve PyTorch/TensorFlow or Scikit-learn models via REST APIs using FastAPI.
What We Offer
- Hands-on engineering work on production enterprise software, applied AI, and edge hardware systems.
- Direct mentorship and architectural reviews from senior engineers, technical leads, and company founders.
- Collaborative, builder-first studio environment at our Sector 62, Noida, Uttar Pradesh engineering hub.
- Structured career progression path with clear module ownership and technical leadership opportunities.
- Exposure to modern production tooling including Next.js, TypeScript, Python FastAPI, PyTorch, and NVIDIA Jetson rigs.
Application Instructions
- 1Complete the online application form on this page with accurate contact and experience details.
- 2Attach your updated resume in PDF, DOC, or DOCX format (maximum file size 5 MB).
- 3Include links to your GitHub profile, live deployed projects, technical portfolio, or case studies.
- 4Ensure your email address and phone number are active so our recruitment team can reach you for interview scheduling.
Official Recruitment Portal
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