Artifical Intelligence

Artificial Intelligence/Machine Learning Engineer (AI/ML Engineer)

About the Role:
We are seeking a talented and motivated AI/ML Engineer to join our growing team. In this role,

you will play a key part in developing and implementing AI/ML solutions that drive innovation

and efficiency across our organization.

**Responsibilities**:

- Work closely with business stakeholders to understand their challenges and identify
- Design, develop, and deploy machine learning models to solve specific business

problems.
- Participate in the entire machine learning lifecycle, from data collection and cleaning to

model training, evaluation, and deployment.
- Stay up-to-date on the latest advancements in AI/ML and explore new technologies that

can benefit the company.
- Collaborate with data scientists, software engineers, and other technical professionals to

ensure the successful integration of AI/ML solutions.
- Communicate complex technical concepts to non-technical audiences in a clear and

concise manner.

Qualifications:

- Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a

related field (or equivalent experience).
- Strong programming skills in Python (or similar language) and experience with machine

learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data wrangling, cleaning, and analysis techniques.
- Excellent understanding of machine learning algorithms and concepts (e.g., supervised

learning, unsupervised learning, reinforcement learning).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Excellent communication, collaboration, and problem-solving skills.

**Benefits**:

- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI/ML projects that have a real-world impact.
- Collaborative and fast-paced work environment.
- Continuous learning and development opportunities.
- Be a part of a team that is transforming the future of our industry

Pay: Up to ₹800,000.00 per year

**Education**:

- Bachelor's (preferred)

**Experience**:

- total work: 3 years (preferred)

Work Location: In person

Application Deadline: 10/05/2024