Job Description
Machine Learning Engineer
Experience: 2 to 4 years
Work Location: Chennai, Madurai & Coimbatore | Hybrid
Job Summary:
We are looking for a Machine Learning Engineer with 2–4 years of experience in building and deploying ML-driven solutions, including ML and Gen AI-based systems. The role involves working across the full ML lifecycle, from data preparation and model development to deployment, monitoring, and continuous improvement in production environments.
Key Responsibilities:
- Build, train, and optimize machine learning and Gen AI models for production use cases.
- Work with large-scale structured and unstructured datasets (text, images, embeddings, tabular data).
- Implement feature engineering, data preprocessing, and model evaluation pipelines.
- Develop and deploy ML/Gen AI models. Integrate ML solutions with backend systems and applications.
- Work with embedding models, vector databases, or retrieval-based ML systems where applicable. Monitor model performance, latency, and quality in production.
- Collaborate closely with data engineers, backend engineers, and product teams.
- Document model behavior, assumptions, and deployment workflows.
Required Skills & Qualifications:
- 2+ years of hands-on experience as a Machine Learning Engineer.
- Solid understanding of machine learning concepts and algorithms.
- Experience with frameworks such as Py Torch, Tensor Flow, scikit-learn, Langchain, Lang Graph etc.
- Familiarity with NLP, embeddings, or deep learning–based models.
- Hands-on experience with Gen AI systems (LLMs, prompt engineering, RAG pipelines, fine tuning)
- Experience with data processing using Pandas, Num Py, and SQL.
- Understanding of model deployment, inference, and performance optimization.
- Experience using Git and working in Linux-based environments.
- Experience with cloud platforms such as AWS / GCP / Azure.
- Experience with Docker and containerized deployments.
- Strong communication skills with the ability to explain ML/Gen AI concepts clearly to both technical and non-technical stakeholders.
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Experience: 2 to 4 years
Work Location: Chennai, Madurai & Coimbatore | Hybrid
Job Summary:
We are looking for a Machine Learning Engineer with 2–4 years of experience in building and deploying ML-driven solutions, including ML and Gen AI-based systems. The role involves working across the full ML lifecycle, from data preparation and model development to deployment, monitoring, and continuous improvement in production environments.
Key Responsibilities:
- Build, train, and optimize machine learning and Gen AI models for production use cases.
- Work with large-scale structured and unstructured datasets (text, images, embeddings, tabular data).
- Implement feature engineering, data preprocessing, and model evaluation pipelines.
- Develop and deploy ML/Gen AI models. Integrate ML solutions with backend systems and applications.
- Work with embedding models, vector databases, or retrieval-based ML systems where applicable. Monitor model performance, latency, and quality in production.
- Collaborate closely with data engineers, backend engineers, and product teams.
- Document model behavior, assumptions, and deployment workflows.
Required Skills & Qualifications:
- 2+ years of hands-on experience as a Machine Learning Engineer.
- Solid understanding of machine learning concepts and algorithms.
- Experience with frameworks such as Py Torch, Tensor Flow, scikit-learn, Langchain, Lang Graph etc.
- Familiarity with NLP, embeddings, or deep learning–based models.
- Hands-on experience with Gen AI systems (LLMs, prompt engineering, RAG pipelines, fine tuning)
- Experience with data processing using Pandas, Num Py, and SQL.
- Understanding of model deployment, inference, and performance optimization.
- Experience using Git and working in Linux-based environments.
- Experience with cloud platforms such as AWS / GCP / Azure.
- Experience with Docker and containerized deployments.
- Strong communication skills with the ability to explain ML/Gen AI concepts clearly to both technical and non-technical stakeholders.
Your Next Big Opportunity Starts Here – Join Our Success Story
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