ML Engineer I

Role Description

Job Title:

AI Engineer

Location: Kochi / Trivandrum

Experience: 5-7 Years

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.

This individual will be a key contributor to our AI transformation, working closely with AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to life.

Key Responsibilities

Model Development & Implementation:

Design, develop, and implement machine learning models and AI algorithms, from initial prototyping to production deployment. Data Engineering:

Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for AI model training.

Solution Integration

Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless functionality and performance.

Model Optimization & Performance

Optimize AI models for performance, scalability, and efficiency, and monitor their effectiveness in production environments.

Collaboration & Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver impactful AI solutions.

Code Quality & Best Practices

Write clean, maintainable, and well-documented code, adhering to best practices for software development and MLOps.

Research & Evaluation

Stay updated with the latest advancements in AI/ML research and technologies, evaluating their potential application to business challenges.

Troubleshooting & Support

Provide technical support and troubleshooting for deployed AI systems, identifying and resolving issues promptly.

Key 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