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ML Engineer

ML Engineer

SquareShift.co

4 - 9 years

4 - 7 Lacs

Chennai

Posted:2 hours ago| Platform:

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Skills Required

Computer science Computer vision deep learning data science Machine learning Manager Technology Healthcare Deployment SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

[{"Salary":null , "Remote_Job":false , "Posting_Title":"ML Engineer" , "Is_Locked":false , "City":"Chennai" , "Industry":"Technology" , "Job_Description":"

Job Description:

Job Summary:

We are looking for a skilled and driven Machine Learning Engineer with 4+ years of experience to design, develop, and deploy ML solutions across business-critical applications. You\u2019ll work alongside data scientists, software engineers, and product teams to create scalable, high-impact machine learning systems in production environments.

Key Responsibilities:

Build, train, and deploy ML models for tasks such as classification, regression, NLP, recommendation, or computer vision.

Convert data science prototypes into production-ready applications .

Design and implement ETL/data pipelines to support model training and inference.

Optimize models and pipelines for performance, scalability, and efficiency .

Collaborate with DevOps/MLOps teams to deploy and monitor models in production.

Continuously evaluate and retrain models based on data and performance feedback.

Maintain thorough documentation of models, features, and processes.

Required Qualifications:

4+ years of hands-on experience in machine learning , data science , or AI engineering roles.

Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, PyTorch , or similar.

Solid understanding of ML algorithms , data preprocessing, model evaluation, and tuning.

Experience working with cloud platforms (AWS/GCP) and containerization tools (e.g., Docker).

Familiarity with SQL and NoSQL databases , and working with large-scale datasets.

Strong problem-solving skills and a collaborative mindset.

\u200b Good to Have:

Experience with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).

Knowledge of deep learning , transformers , or LLMs .

Familiarity with streaming data (Kafka, Spark Streaming) and real-time inference .

Exposure to ElasticSearch for data indexing or log analytics.

Interest in applied AI/ML innovation within domains like fin-tech, healthcare, or ecommerce.

Education:

Bachelor\u2019s or Master\u2019s degree in Computer Science, Data Science, AI/ML, or a related field.

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ML Engineer