Software Developer/ML Engineer
7 days ago
We at CH Solutions, a leading consulting and placement firm, are hiring experienced Software Developers for direct payroll positions with our esteemed client companies across various domains. This opportunity is ideal for professionals looking to work on impactful, real-time projects within a client environment while advancing their technical careers. This is an opening for our client company.
Language Requirement: The client prefers candidates who are proficient in both English and Tamil.
High Lights:
Only Tamil-Speaking Candidates are Eligible
Graduates from 2024 & 2025 batches are not eligible
Eligibility:
Must have completed your previous job
Relieving Letter (Hard Copy) required
Resume (Hard Copy) required
About the Role:
We are looking for a passionate and detail-oriented Python & Machine Learning Pipeline Engineer to join our growing AI/ML team. The ideal candidate should have strong Python skills and a keen interest in automating machine learning workflows from data ingestion to model deployment.
Key Responsibilities:
Develop and maintain data processing and ML training pipelines using Python.
Automate model training, validation, and deployment using Airflow, MLflow, or related tools.
Build and deploy REST APIs to serve ML models using Flask or FastAPI.
Work with data scientists to productionize ML models and manage their lifecycle.
Integrate models with applications and optimize performance for scalability.
Implement data collection and storage solutions using SQL / NoSQL databases.
Collaborate with DevOps for containerization (Docker) and deployment (Kubernetes).
Maintain proper version control, documentation, and CI/CD practices.
Required Technical Skills:
Strong knowledge of Python programming.
Experience with Pandas, NumPy, Scikit-learn, or other ML libraries.
Understanding of data preprocessing, model training, and evaluation.
Familiarity with REST APIs, Flask, or FastAPI frameworks.
Knowledge of Git / GitHub for version control.
Basic understanding of machine learning workflows and pipeline automation.
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