Data Science at InternB. M. Infotrade Pvt. Ltd.

Company: B M Infotrade Pvt. Ltd.

Position: Data Science

About Company:

We are a specialized IT System Integrator in India, with expertise in providing value-added IT services & solutions. Our solutions include Cloud Technology, Cyber Security, Business Continuity Plans, Managed Services, Consulting, Data Analytics, and RPA. We believe in dedicated & and honest commitment with transparent communication that should reflect in our Deliverables as well as transactions with our clients. Our company’s USP is commitment = delivery. And we have been delivering high-quality services to our esteemed customers for more than 25 years now.

Job brief:

We are looking for an enthusiastic AI-ML. Candidate must be self-motivated, an excellent problem solver, & and a go-getter. The candidate must have strong programming skills and an algorithmic solutions approach.

Responsibilities:

1. Strong programming skills.

2. Good understanding of AI & and ML applications & and algorithms.

3. IBM technologies like DataStage, DB2 warehouse, Cognos, and Watson.

4. Identify new opportunities to apply Machine Learning, Types of Machine Learning.

5. Implement algorithms and systems in an efficient way.

Requirements:

1. Candidate should be BTech/BCA/MCA.

2. Strong understanding of mathematical foundations of Machine Learning algorithms.

3. Knowledge of Python or C++, or the ability to learn them quickly.

4. Knowledge of Python pandas, Numpy, Scipy, and SKT Learn library, watsonx, Open-AI.

5. A passion for learning and always improving.

6. Excellent verbal and written communication skills.

7. The candidate should be a fast learner with and passion for technological learning.

8. Self-motivated with a results-driven approach.

9. Preference: Hands-on experience and projects.

Working:

1. Office hours: 10 AM to 07 PM, Days: Monday to Saturday.

2. For serious candidature only.

3. WFH Internship

Job Types: Full-time, Internship
Contract length: 6 months

Pay: ₹2,000.00 per month

Benefits:

• Work from home

Schedule:

• Day shift

Experience:

• total work: 1 year (Preferred)

Work Location: In person