IBM Hiring Artificial Intelligence Engineer Job| INR 3-6/- LPA

• Job Title: Artificial Intelligence Engineer
• Company: IBM
• Degree: B.Tech/B.E
• Salary: INR 3-6/- LPA
• Location: Multiple Locations, India
• Job Type: Full-time
• Experience: Freshers/Experienced Both Eligible

About IBM:

IBM is a global leader in generation and consulting, with a focal point on innovation and a dedication to building smarter organizations. We are at the vanguard of pioneering enhancements in cloud computing, AI, quantum computing, and one-of-a-kind growing technology.

At IBM, we foster a manner of the lifestyle of non-prevent studying and collaboration, wherein each worker can contribute to transformative answers for clients and organizations international.

Job Overview: Artificial Intelligence Engineer

IBM is seeking out gifted and passionate Artificial Intelligence (AI) Engineers to enroll in our AI group. As an AI Engineer, you will be chargeable for growing, deploying, and optimizing AI fashions that could electricity notable commercial agency outcomes.

You will work carefully with information scientists, software application program engineers, and company analysts to create AI solutions that clear up complex problems in severa industries together including finance, healthcare, retail, and additional.

Key Responsibilities: Artificial Intelligence Engineer

1. AI Model Development:

• Design, make bigger, and implement AI fashions and algorithms with the use of modern techniques in device mastering (ML), deep getting to know (DL), and herbal language processing (NLP).
• Work with massive datasets to teach and terrific-song AI models, making ensure accuracy, efficiency, and scalability.
• Experiment with all types of AI architectures and algorithms to select the handiest answers for particular issues.

2. Data Analysis and Preprocessing:

• Collaborate with information scientists to research and preprocess raw facts, making sure it’s miles clean, primarily based totally, and appropriate for AI modeling.
• Develop and maintain facts pipelines that automate the technique of records ingestion, transformation, and storage.
• Utilize statistics visualization equipment to talk insights and dispositions from records assessment.

3. Model Deployment and Integration:

• Deploy AI models into production environments, making sure they’re strong, scalable, and maintainable.
• Integrate AI models with modern software program program systems and business agency techniques, running carefully with software program software program engineers and IT groups.
• Monitor and study the overall performance of AI models in manufacturing, making modifications crucial to decorate consequences.

4. Collaboration and Communication:

• Work intently with past practical teams, which incorporate product managers, agency analysts, and location specialists, to recognize commercial organization requirements and translate them into AI answers.
• Present findings, insights, and suggestions to stakeholders, both technical and non-technical, cleanly and concisely.
• Participate in AI studies and improvement sports activities, staying updated with the cutting-edge traits and improvements inside the region.

5. Continuous Learning and Innovation:

• Engage in non-stop learning to stay cutting-edge with improvements in AI technology and methodologies.
• Participate in inner and out of doors AI groups, contributing to the collective know-how and records inside IBM.
• Innovate and check with new AI techniques and equipment, using the development of cutting-edge day-to-day solutions.

Qualifications: Artificial Intelligence Engineer

Educational Background:

Bachelor’s or Master’s diploma in Computer Science, Engineering, Data Science, or a related challenge. A Ph.D. In AI/ML or a related difficulty is a plus.

Technical Skills:

Strong expertise in programming languages which includes Python, R, or Java, with revel in in AI/ML frameworks like TensorFlow, PyTorch, or Keras.
Solid data of tool studying algorithms, deep getting to know architectures (e.g., CNNs, RNNs, transformers), and NLP techniques.
Experience with records manipulation and evaluation of the usage of libraries like Pandas, NumPy, and SciPy.
Familiarity with cloud platforms (e.g., IBM Cloud, AWS, Azure) and containerization generation (e.g., Docker, Kubernetes).

Experience:

2+ years of experience in AI/ML improvement, with a verified music report of correctly deploying AI models in actual global packages.
Experience in running with huge datasets, information preprocessing, and characteristic engineering.
Knowledge of software application engineering practices, collectively with model management (Git), CI/CD pipelines, and agile methodologies.

Soft Skills:

Strong hassle-fixing skills and the capacity to think significantly and creatively.
Excellent communique and collaboration skills, with the potential to work correctly in set-orientated surroundings.
The high diploma of self-motivation, with an ardor for analyzing and innovation.

Why Join IBM Artificial Intelligence Engineer?

1. Innovative Environment:

• Work on modern-day AI obligations that have a real impact on industries and organizations.
• Access to international-beauty research and improvement assets at IBM’s AI labs.

2. Career Growth:

• Opportunities for continuous gaining knowledge of and expert improvement.
• Potential for professional advancement interior IBM’s global community of AI professionals.

3. Work-Life Balance:

Flexible artwork preparations and supportive work surroundings that value variety and inclusion.

How To Apply for Artificial Intelligence Engineer?

Interested candidates are encouraged to apply online via IBM’s careers portal. Please position your resume, a cover letter, and any applicable undertaking portfolios. The choice procedure includes a technical evaluation, determined by the usage of interviews with the AI organization.

Click Here To Apply Online

More Other Jobs-

Amazon Hiring Staff Accountant Job Role

TCS Walk-In Drive 2024 for Freshers

BCD Travel Hiring 5712 Vacancies in Bangalore

HDFC Hiring Branch Banking Executive