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AIML Engineer Intern

AIML Engineer Intern

360DigiTMG

3 - 4 years

0 Lacs

hyderabad

Posted:None| Platform:

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Skills Required

computer science backend data science time series analysis analytical data structures forecasting internship data extraction python

Work Mode

Work from Office

Job Type

Internship

Job Description

Job Description:

We are seeking a highly motivated and skilled AI/ML Engineer Intern for a 1-year internship to join our growing team.

Key Responsibilities:

1. AI/ML System Development:

Design and implement AI/ML models for identifying patterns in sales behavior and trends.
Develop intelligent recommendation engines to optimize sales strategies.
Build real-time dashboards for sales performance monitoring.
Integrate APIs for seamless interaction with internal systems.

2. Programming & Development:

Use Python for AI/ML model development and deployment.
Work with PyTorch or TensorFlow for deep learning projects.
Backend development using FastAPI or Flask.
Maintain codebase using Git and follow collaborative workflows.

3. AI/ML Expertise:

Foundational knowledge of LLMs, Transformers, and Retrieval-Augmented Generation (RAG).
Apply NLP techniques for extracting and understanding customer insights.
Understand the end-to-end ML lifecycle including model training, tuning, and deployment.

4. Generative AI & AI Voice:

Experiment with Generative AI models (e.g., GPT, Claude) for automating content creation, email generation, and chat-based assistance.
Contribute to development of AI Voice solutions such as speech-to-text, call summarization, and conversational agents using tools like Whisper, ElevenLabs, or Dialogflow.
Integrate GenAI and Voice AI into the Sales Supervisor Agent to automate interactions and decision support.

5. Data Engineering & Analysis:

Write efficient SQL queries for data extraction and transformation.
Use libraries like Pandas and NumPy for data preprocessing and analysis.
Create meaningful visualizations to drive insights.

Preferred Skills (Good to Have):

Hands-on experience in applied ML or pattern recognition projects.
Knowledge of time series analysis and forecasting.
Familiarity with vector databases like Faiss or Pinecone.
Experience working with RESTful APIs and cloud services (AWS, Azure).
Exposure to modern dev tools such as Cursor AI, Claude Code, Copilot, Gemini, Grok.AI, Codegiantio etc.

Qualifications:

B.Tech/B.E. in Computer Science, Data Science, or related fields.
Strong academic background in AI/ML, data structures, and algorithms.

Key Personal Attributes:

Analytical thinker with a problem-solving mindset.
Quick learner with a passion for emerging AI technologies.
Strong communicator and team player with a proactive attitude.

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