Senior Machine Learning Engineer - Python Programming

Job Description :

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 strong 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)