ML Engineer I

UST; Thiruvananthapuram; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology firm is seeking an experienced AI Engineer in Thiruvananthapuram to design and implement innovative AI solutions. The ideal candidate has 3-7 years of experience with strong programming skills in Python and expertise in frameworks like TensorFlow and PyTorch. Responsibilities include developing machine learning models and integrating AI solutions into systems. A bachelor’s or master’s degree in a related field is required. This position offers competitive opportunities for growth in a dynamic work environment.

Qualifications

• 3-7 years of experience in developing and deploying AI/ML solutions.
• Strong programming skills in Python or similar languages with extensive experience in AI/ML frameworks.
• Solid understanding of machine learning algorithms, deep learning concepts, and statistical modelling.

Responsibilities

• Design, develop, and implement machine learning models and AI algorithms.
• Work with large datasets, performing data cleaning, feature engineering, and data pipeline development.
• Integrate AI models into existing systems and applications.

Skills

Machine Learning

Deep Learning

Python

TensorFlow

PyTorch

Data Preprocessing

Model Deployment

MLOps

Cloud AI Services

Software Development

Problem-solving

Education

Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field

Tools

TensorFlow

PyTorch

Pandas

NumPy

Git

Docker

Kubernetes

AWS

Azure

GCP

Job description

About The Role

We are seeking a talented and experienced AI Engineer to join our growing team and play a pivotal role in the development and deployment of innovative AI solutions.

Role Description

Job Title: AI Engineer
Location: Kochi / Trivandrum
Experience: 3-7 Years

Responsibilities

• Design, develop, and implement machine learning models and AI algorithms, from initial prototyping to production deployment.
• Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for AI model training.
• Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless functionality and performance.
• Optimize AI models for performance, scalability, and efficiency, and monitor their effectiveness in production environments.
• Collaborate effectively with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver impactful AI solutions.
• Write clean, maintainable, and well-documented code, adhering to best practices for software development and MLOps.
• Stay updated with the latest advancements in AI/ML research and technologies, evaluating their potential application to business challenges.
• Provide technical support and troubleshooting for deployed AI systems, identifying and resolving issues promptly.

Requirements

• 3-7 years of experience in developing and deploying AI/ML solutions.
• Strong programming skills in Python (or similar languages) with extensive experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning algorithms, deep learning concepts, and statistical modelling.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.

Good to Have

• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow).
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Experience with big data technologies (e.g., Spark, Hadoop).
• Prior experience in an IT services or product development environment.
• Knowledge of specific AI domains such as NLP, computer vision, or time series analysis.

Key Skills

Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, Data Preprocessing, Model Deployment, MLOps, Cloud AI Services, Software Development, Problem-solving.

Skills

Machine Learning, Data Science, Artificial Intelligence