Python - AI/ML Engineer
- Mindsprint
- 4 - 9 years
- Noida, Gurugram
- 4 months ago
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Job Description
Job Summary:
We are looking for a passionate and skilled Python AI/ML Engineer who brings strong expertise in building AI/ML solutions, productionizing models, and contributing to end-to-end ML pipelines. The ideal candidate should possess deep knowledge of traditional and deep learning concepts, hands-on programming capabilities, experience in enterprise-grade software engineering, and a good understanding of MLOps practices.
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative tasks.
- Build and optimize data transformation workflows using Python and Pandas.
- Lead AI/ML project pipelines from data ingestion to model deployment and monitoring.
- Implement model observability, monitoring for drift, and continuous model evaluation.
- Develop REST APIs and integrate ML models with production systems using frameworks like FastAPI.
- Participate in code reviews, write unit/integration tests, and ensure high code quality.
- Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers.
- Stay current with the latest developments in AI, GenAI, ML frameworks, and tools. Use DevOps/MLOps tools to automate and manage model lifecycle processes.
Required Skills:
Programming & Python Ecosystem:
- Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
- Strong understanding of asynchronous programming, FastAPI, and concurrency
(Starlette).
- Deep understanding of multithreading, multiprocessing, and the Python GIL.
- Ability to write clean, efficient, and testable code.
Machine Learning & Deep Learning:
- Solid grasp of traditional ML concepts: classification, regression, overfitting/underfitting, regularization (L1/L2), multicollinearity.
- Experience with deep learning: RNNs, attention mechanisms, dropout, early stopping, loss functions (BCE, categorical cross entropy), diffusion models vs GANs.
- Familiarity with transfer learning and pre-trained model fine-tuning. MLOps:
- Understanding of ML pipeline design including model training, deployment, and monitoring.
- Experience in detecting and mitigating data drift and concept drift.
- Exposure to model observability, monitoring unstructured data drift, and automated drift alerts.
Software Engineering & DevOps:
- Strong skills in REST API development, integration testing, and CI/CD practices.
- Experience with containerization tools like Docker.
- Familiarity with cloud-based ML deployment (AWS/Azure) and logging frameworks. Hands-On Problem Solving & Data Engineering:
- Ability to perform data transformation and aggregation using Python/Pandas.
- Experience handling dataframes, joins, ranking, filtering, mapping, and custom logic for preprocessing tasks.
Nice-to-Have:
- Experience in GenAI and working with LLMs.
- Exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms.
- Understanding of NLP, embeddings, and transformer-based models.
Prior contributions to open-source ML tools or GitHub repositories.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: MindsprintLocation(s): Noida, Gurugram
Keyskills: Python Data Engineering PyTorch Artificial Intelligence Pandas Scikit-learn Machine Learning NumPy TensorFlow
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