Ai Ml Engineer

Role & responsibilities

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Copilot said:

Job Title: AI/ML Engineer

Location: Hyderabad

Experience: 5-10 Years

Employment Type: Full-Time

Preferred candidate profile

Job Summary

We are seeking a highly skilled AI/ML Engineer to develop, deploy, and optimize machine learning and artificial intelligence solutions that drive business value. The ideal candidate will have hands-on experience in machine learning, deep learning, data science, model deployment, and cloud technologies.

Key Responsibilities

Design, develop, and deploy Machine Learning and AI models for real-world business problems.

Build predictive, classification, recommendation, and forecasting models.

Develop and optimize NLP, Computer Vision, and Deep Learning solutions.

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation.

Deploy ML models using MLOps best practices and cloud platforms.

Collaborate with Data Scientists, Data Engineers, and business stakeholders.

Monitor model performance and continuously improve accuracy and scalability.

Implement automated ML pipelines and CI/CD processes.

Stay updated with emerging AI/ML technologies and industry trends.

Required Skills

AI/ML Technologies

Machine Learning

Deep Learning

Artificial Intelligence

NLP (Natural Language Processing)

Computer Vision

Generative AI (Good to Have)

Programming & Frameworks

Python

Scikit-learn

TensorFlow

PyTorch

Keras

Pandas

NumPy

Data Engineering

SQL

Data Analysis

Feature Engineering

Data Visualization

MLOps & Deployment

MLflow

Docker

Kubernetes

Model Deployment

CI/CD Pipelines

Cloud Platforms

AWS / Azure / GCP

SageMaker / Azure ML Studio / Vertex AI

Preferred Skills

Experience with Large Language Models (LLMs).

Hands-on exposure to LangChain, RAG, Vector Databases, and Prompt Engineering.

Experience working with Hugging Face Transformers.

Knowledge of Agentic AI and Generative AI applications.

Familiarity with Spark, Databricks, or Big Data technologies.

Desired Candidate Profile

5-10 years of experience in AI/ML development.

Strong understanding of machine learning algorithms and statistics.

Experience building end-to-end ML solutions from development to production.

Strong problem-solving and analytical skills.

Excellent communication and stakeholder management abilities.

Ability to work in an Agile environment.

Educational Qualification

Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or a related field.