Posted:14 hours ago|
Platform:
Remote
Full Time
We at Magure Softwares are seeking a highly skilled ML/AI Developer who not only excels in building intelligent systems but also owns the complete lifecycle from development to deployment. You’ll be part of a cutting-edge team working on AI-driven solutions, real-time data pipelines, and scalable ML products that make real business impact. We are looking for someone who is not just comfortable with writing models but is also proficient in production-level deployment, versioning, MLOps, and problem-solving through DSA.
Build, train, and optimize machine learning models for various domains.
Use techniques such as regression, classification, NLP, deep learning, and RAG (retrieval augmented generation).
Implement data structures and algorithmic approaches to optimize model performance.
Deploy ML models on cloud or containerized environments (Azure, AWS, GCP, Azure Container Apps, etc.).
Develop CI/CD pipelines using tools like GitHub Actions, Docker, MLflow, and Kubernetes for automated training and deployment.
Manage model versioning, logging, rollback, and monitoring.
Work with ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, HuggingFace, LangChain, OpenAI API, and LLaMA
Use Azure-based tools like Azure Document Intelligence, Azure AI Search, and Azure OpenAI.
Automate data ingestion, validation (schema + drift checks), and preprocessing using Python and tools like Great Expectations.
Handle structured, semi-structured, and unstructured data from sources like MongoDB, SQL, PDFs, etc.
Collaborate with backend engineers, data scientists, and product managers.
Maintain clear documentation and contribute to knowledge-sharing sessions. Provide technical mentorship to junior developers.
Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or equivalent.
2+ years of experience in building and deploying end-to-end ML solutions.
Strong command of Python and ML/DL frameworks (PyTorch, TensorFlow, Sklearn).
Hands-on experience with MLOps, CI/CD, containerization, and cloud deployments.
Strong understanding of Data Structures & Algorithms (DSA).
Familiarity with modern/Traditional AI/LLM applications (e.g., RAG, LLM fine-tuning, chatbot systems).
Experience in building microservices or model APIs using FastAPI or Flask.
You’ve deployed production-grade ML systems with rollback/version control.
You write clean, scalable, and modular code — and understand its lifecycle in the real world.
You have experience integrating AI with business tools like email systems, PDF document processing, and real-time analytics.
Be part of AI solutions that drive real change.
Work in a collaborative, fast-paced, and technically exciting environment.
Opportunities to grow as a full-stack ML engineer, not just a data scientist.
Competitive compensation, high-impact roles, and a company that values innovation.
Apply Now: Send your resume to kirti@magureinc.com
Magure
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Practice Python coding challenges to boost your skills
Start Practicing Python NowRaipur, Chhattisgarh, India
Salary: Not disclosed
Bengaluru, Karnataka, India
Experience: Not specified
Salary: Not disclosed
Bengaluru, Karnataka, India
Salary: Not disclosed
Noida, Uttar Pradesh, India
Salary: Not disclosed
Chennai, Tamil Nadu, India
Salary: Not disclosed
Gurugram, Haryana, India
Salary: Not disclosed
Pune, Maharashtra, India
Salary: Not disclosed
Pune, Maharashtra, India
Salary: Not disclosed
Chennai, Tamil Nadu, India
Salary: Not disclosed
Pune, Maharashtra, India
Salary: Not disclosed