Machine Learning

2 weeks ago

Dehra Dūn, Uttarakhand, India DKAI Technologies Full time ₹ 5,00,000 - ₹ 10,00,000 per year

Job Title: Machine Learning & AI Intern

Location:

Doon Business Park, Dehradun
(On-site)

Duration:

3 – 6 Months

Eligibility:

Final-Year Students

Pre-Placement Offer (PPO):

Based on performance

About DKAI Technologies

DKAI Technologies

is a forward-thinking technology company committed to leveraging Artificial Intelligence and Machine Learning to build innovative and intelligent solutions.

We are seeking a motivated
Machine Learning & AI Intern

eager to apply theoretical knowledge to real-world challenges and explore emerging AI frameworks and agentic technologies.

Role Overview

As a
Machine Learning & AI Intern

, you will work alongside our data and AI engineering teams to develop, optimize, and implement AI-driven solutions.

You'll gain exposure to a wide range of tools and frameworks, from traditional ML algorithms to the latest AI Agent and RAG (Retrieval-Augmented Generation) workflows.

Key Responsibilities

  • Assist in developing and training
    Machine Learning models
    (Supervised, Unsupervised, and Ensemble methods).
  • Apply
    optimization techniques
    for model fine-tuning and performance enhancement.
  • Contribute to the design and execution of
    AI Agentic workflows
    and
    RAG pipelines
    .
  • Work with
    vector stores
    and
    NoSQL databases
    for data retrieval and storage in RAG systems.
  • Implement solutions using frameworks such as
    LangChain
    and
    Autogen
    .
  • Develop interactive
    Python applications
    and
    Streamlit dashboards
    for model deployment and visualization.
  • Collaborate with the team to explore and prototype innovative AI-driven applications.

Required Skills & Knowledge

  • Strong understanding of
    Statistics for Machine Learning
    .
  • Knowledge of
    ML algorithms
    — Supervised, Unsupervised, and Ensemble learning techniques.
  • Experience in
    model optimization and hyperparameter tuning
    .
  • Proficiency in Python
    and working experience with
    Streamlit
    .
  • Familiarity with
    LangChain
    ,
    Autogen
    , and
    RAG
    workflow concepts.
  • Understanding of
    Vector databases
    and
    NoSQL systems
    .
  • Basic awareness of
    Deep Learning
    concepts (a plus, not mandatory).
  • Knowledge of
    cloud platforms
    such as
    AWS
    ,
    Azure
    , or
    Databricks
    (preferred but not required).

Additional Details

  • A
    technical task
    will be assigned prior to the interview process.
  • Internship duration:
    3–6 months
    , with the possibility of a
    Pre-Placement Offer (PPO)
    based on performance.
  • Excellent opportunity to gain
    hands-on experience
    with next-generation
    Agentic AI
    and
    RAG
    systems.

Interested candidates may apply for the job post or share their resume on

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