Ai/ml Intern

**Key Responsibilities**:

- Collaborate with cross-functional teams to integrate AI models into robotics systems.
- Implement and optimize machine learning pipelines and workflows.
- Develop and maintain software for data collection, preprocessing, and analysis.
- Participate in code reviews, testing, and documentation to ensure high-quality software delivery.
- Mentor and guide junior engineers and students in AI/ML techniques and best practices.
- Communicate project progress and results to stakeholders, including technical and non-technical audiences.

**Required Qualifications**:

- Bachelor's or Master's degree in Computer Science, Electronics Engineering, Robotics, or a related field.
- Strong programming skills in Python, C++, and familiarity with software development practices.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Experience with cloud platforms like AWS, GCP, or Azure for deploying ML models.
- Knowledge of data structures, algorithms, and statistical methods.
- Experience with NLP, computer vision, reinforcement learning, or robotics.
- Hands-on experience with version control systems like Git.
- Understanding of DevOps practices, including CI/CD pipelines.
- Excellent problem-solving skills and the ability to work independently and in a team.
- Strong communication skills in English and Tamil.

**Perks and Benefits**:

- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI and robotics projects.
- Collaborate with leading experts in the field.
- Access to state-of-the-art facilities and resources.
- Continuous learning and development opportunities.
- Flexible working hours and a dynamic work environment.

Please send your resume and a cover letter detailing your experience and qualification to process further, Thank you.

**Job Types**: Fresher, Internship
Contract length: 3 months

Pay: ₹6,000.00 - ₹12,000.00 per month

**Benefits**:

- Flexible schedule
- Internet reimbursement

Schedule:

- Monday to Friday

Supplemental pay types:

- Performance bonus

**Experience**:

- total work: 1 year (preferred)

Work Location: Hybrid remote in Kancheepuram, Tamil Nadu