D Square Consulting Services Pvt Ltd
Website:
dsquareconsulting.com
Job details:
JD - AI/ML Apprentice
We have an apprenticeship opportunity for an AI/ML Developer Apprentice. A successful apprenticeship can lead to certification and a full-time offer.
Required Experience: 0–6 Months
Work Mode: Onsite
Location: Arekere, Bangalore
Stipend: ₹10,000 (Fixed)
Only candidates who can complete the full 6-month engagement should apply.
Bangalore-based candidates may apply
Immediate joiners preferred
Job Summary:
We are looking for a quick-learning AI/ML Apprentice skilled in Python ecosystems and core ML concepts. Collaborate on impactful projects involving supervised/unsupervised learning to gain hands-on expertise and certification potential.
Must have skills & tools:
- Proficiency in Python programming.
- Strong grasp of data manipulation and analysis with NumPy and Pandas.
- Data visualization using Matplotlib (or similar libraries like Seaborn).
- Understanding of supervised learning (e.g., regression, classification) and unsupervised learning (e.g., clustering, dimensionality reduction).
- Experience with AI/ML-related projects (e.g., predictive modeling, image classification).
- Familiarity with AI tools like Jupyter Notebook, Scikit-learn, or TensorFlow basics.
Good to have:
- Knowledge of deep learning frameworks (e.g., Keras, PyTorch).
- Version control with Git.
- Cloud platforms for ML (e.g., AWS SageMaker, Google Colab).
- Basic statistics and linear algebra.
Responsibilities:
- Collaborate with the AI/ML team to develop and test machine learning models.
- Clean, preprocess, and analyze datasets using Python, NumPy, and Pandas.
- Build supervised and unsupervised learning models for tasks like prediction and clustering.
- Create insightful visualizations with Matplotlib to communicate results.
- Work on end-to-end AI projects, from data ingestion to model deployment.
- Experiment with AI tools and frameworks to prototype solutions.
- Participate in code reviews, debugging, and model optimization.
- Document projects and learn emerging AI technologies in a fast-paced environment.
- Assist in deploying models on cloud platforms.
Click on Apply to know more.