:

Skills Required :

- Python
- CI-CD
- LLM
- Deep learning
- API
- AI/ML
- ALGORITHMS

Experience Required : 10 years in IT; 8 years in development

Experience Preferred :

- CI/CD for ML (GitHub Actions, Jenkins) : Experience with cloud platforms : AWS/GCP/Azure with AI services (SageMaker, Vertex AI, Bedrock - nice to have)
- Problem-Solving & Solution : Ownership Able to identify the right ML approach (fine-tuning, retrieval, prompting, multimodal pipeline).
- Ability to break vague product problems into clear ML tasks.
- Skilled in PoC building, quick prototyping, and converting them into production systems. Capability to estimate feasibility, complexity, cost, and timelines of ML solutions.
- Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.

Key Responsibilities :

- Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics,



machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
- Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
- Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Education Required :

- Bachelor's Degree, Master's Degree

Education Preferred :

- Certification Program

Additional Information :

- Ability to design end-to-end ML system architecture with : Model orchestration (LLM OCR embeddings prompt pipelines).
- Preprocessing for images/PDF/PPT/Excel Embedding store, vector DB, or structured extraction systems Async processing queue, job orchestration, microservice design GPU/CPU deployment strategy.
- Must be solid in scaling ML systems : Batch processing large files Handling concurrency, throughput, latency Model selection, distillation, quantization (GGUF, ONNX) CI/CD for ML (GitHub Actions, Jenkins) Model monitoring (concept drift, latency, cost optimization).
- Experience with cloud platforms : AWS/GCP/Azure with AI services (SageMaker, Vertex AI, Bedrock - nice to have)

📌 Senior Machine Learning Engineer - Python Programming (India)
🏢 The Judge Group
📍 India