Machine Learning Engineer

HCLTech; Dadri; Remote; INR 800,000 - 1,500,000; Full time

Job summary

A leading tech company located in India is seeking an AI/ML Engineer to design and implement solutions addressing complex business challenges. The role requires expertise in developing and optimizing machine learning models and deploying them on cloud platforms. The ideal candidate will work with Python, TensorFlow, and GCP, collaborating with cross-functional teams to ensure alignment with business goals. Familiarity with CI/CD principles and containerization tools like Docker is essential.

Responsibilities

• Design and implement AI/ML solutions for complex business problems.
• Develop and optimize Machine Learning and Deep Learning models.
• Build and maintain scalable data pipelines and ML workflows.
• Deploy and monitor models on public cloud platforms.
• Transform prototypes into robust production-ready solutions.
• Implement CI/CD principles for seamless integration and deployment.
• Collaborate with cross-functional teams.

Skills

Python (expert)

R (working knowledge)

Spark

GCP (Vertex AI, BigQuery)

AWS/Azure

Statistical Analysis

Machine Learning

Deep Learning

Tools

TensorFlow

Keras

PyTorch

Docker

Kubernetes

Python

Job description

The role involves designing and implementing AI/ML solutions to address complex business challenges, developing and optimizing machine learning models, and ensuring seamless deployment and monitoring of these models on public cloud platforms.

Responsibilities

• Design and implement AI/ML solutions for complex business problems across domains like Banking, Finance, Telecom, Retail, and Technology.
• Develop and optimize Machine Learning and Deep Learning models using frameworks such as TensorFlow, Keras, PyTorch.
• Build and maintain scalable data pipelines and ML workflows using Python, Spark, PySpark, and GCP services.
• Deploy and monitor models on public cloud platforms (AWS/Azure/GCP), with hands-on experience in Vertex AI, BigQuery, Cloud Composer.
• Transform prototypes into robust, production-ready solutions.
• Implement CI/CD principles for ML Ops, ensuring seamless integration and deployment.
• Work with containerization and orchestration tools like Docker and Kubernetes.
• Apply advanced statistical analysis, text mining, and machine log processing techniques.
• Collaborate with cross-functional teams to ensure alignment with business goals.

Required Skills

• Programming: Python (expert), R (working knowledge), Spark.
• Cloud Platforms: Google Cloud Platform (Vertex AI, BigQuery, AI/ML services), AWS/Azure experience is a plus.
• Statistical Analysis: Strong foundation in statistics and data-driven decision-making.
• Domain Knowledge: Exposure to supervised, unsupervised, and reinforcement learning.

Preferred Skills

• Experience with additional programming languages.