Python( AI/ML Developer ) 3 to 5 Years

Overview

Job Description:

We are looking for a Python AI Developer with expertise in AI/ML model development using data sourced from internal/external databases.

The ideal candidate should have experience in building, training, and deploying machine learning models using structured and unstructured data.

You will work closely with data engineers and software developers to create AI-driven solutions that enhance our applications and business processes.

Key Responsibilities:

Develop and deploy AI models using Python and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

Worked with internal databases (SQL, NoSQL) to extract, clean, and preprocess data for AI models.

Design and implement data pipelines for training and inference.Optimise model performance and ensure scalability

.Collaborate with software developers to integrate AI solutions into production systems.

Ensure the security and integrity of AI-driven applications.Stay updated with the latest AI, ML, and data science trends.

Required Skills & Qualifications:

Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn.

Experience working with structured and unstructured data from relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase) databases.Knowledge of ETL processes and data engineering concepts.

Experience with API development for AI model integration.Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployments.Strong understanding of data preprocessing, feature engineering, and model tuning.

Ability to write clean, efficient, and scalable code.Experience with version control (Git) and Agile methodologies.

Preferred Skills:

Knowledge of Natural Language Processing (NLP) and LLM fine-tuning.

Experience with MLOps tools and practices.Familiarity with big data technologies such as Spark, Hadoop

.Understanding of deep learning architectures (CNNs, RNNs, Transformers).

Job Type: Full-time

Pay: Up to ₹100,000.00 per month

Benefits:

• Flexible schedule

Schedule:

• Monday to Friday
• Morning shift

Work Location: In person

Application Deadline: 07/04/2025