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APA Engineering
AI Engineer | Designing, developing, and deploying AI/ML solutions (Chennai)
APA Engineering
Chennai•On-site•1-3 Yrs•Jul 1
Job description
Overview
Key Responsibilities
Responsibilities
- Develop, deploy, and optimize machine learning and Generative AI solutions.
- Build end-to-end ML pipelines, including data processing, model training, evaluation, and deployment.
- Work with LLMs, RAG frameworks, prompt engineering, and AI agents.
- Collaborate with cross-functional teams to deliver business-driven AI solutions.
- Monitor model performance and implement continuous improvements.
- Stay updated with the latest advancements in AI and machine learning technologies.
Qualifications
- 35 years of experience in AI, Machine Learning, or Data Science.
- Solid proficiency in Python, SQL, and ML libraries such as Scikit-learn, Pandas, TensorFlow, or PyTorch.
- Knowledge of MLOps, Docker, Git, and cloud platforms (AWS, Azure, or GCP).
- Strong analytical, problem-solving, and communication skills.
- Bachelor's degree in Computer Science, Engineering, AI, or a related field.
- Knowledge of NLP, Computer Vision, or Deep Learning.
- Familiarity with Kubernetes, MLflow, and CI/CD pipelines.
- Master's degree or relevant AI certifications are a plus. Key Responsibilities
- Develop, deploy, and optimize machine learning and Generative AI solutions.
- Build end-to-end ML pipelines, including data processing, model training, evaluation, and deployment.
- Work with LLMs, RAG frameworks, prompt engineering, and AI agents.
- Collaborate with cross-functional teams to deliver business-driven AI solutions.
- Monitor model performance and implement continuous improvements.
- Stay updated with the latest advancements in AI and machine learning technologies.
- 35 years of experience in AI, Machine Learning, or Data Science.
- Solid proficiency in Python, SQL, and ML libraries such as Scikit-learn, Pandas, TensorFlow, or PyTorch.
- Knowledge of MLOps, Docker, Git, and cloud platforms (AWS, Azure, or GCP).
- Strong analytical, problem-solving, and communication skills.
- Bachelor's degree in Computer Science, Engineering, AI, or a related field.
- Knowledge of NLP, Computer Vision, or Deep Learning.
- Familiarity with Kubernetes, MLflow, and CI/CD pipelines.
- Master's degree or relevant AI certifications are a plus.