Data Scientist – Artificial Intelligence (AI) | IBM
🚀 Company: IBM
🌟 Ratings: 4.0/5 (22,361 Reviews)
📍 Location: Bengaluru, India
💼 Experience Required: 3 – 7 years
💰 Salary: Not Disclosed
📅 Posted: 28 days ago
📢 Applicants: 404
✅ Employment Type: Full-time, Permanent
🔗 Apply Now: IBM Careers Website
🔍 Job Highlights
🎓 Education Requirements:
- Required: Bachelor’s Degree
- Preferred: Master’s Degree
🛠 Technical & Professional Expertise:
- Strong programming skills with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.
- Expertise in data processing, machine learning models, and AI-driven solutions.
- Experience with big data technologies, predictive modeling, and cloud platforms.
📊 Preferred Skills & Experience:
- Hands-on experience with SciKit-Learn, Pandas, NumPy, and Matplotlib.
- Working knowledge of COBOL & Java (preferred but not mandatory).
- Experience with SQL, PySpark, and data visualization tools.
- Familiarity with Natural Language Processing (NLP) and Neural Networks.
- Understanding of large-scale AI models, deep learning, and computer vision.
📝 Job Description
As a Data Scientist – Artificial Intelligence (AI) at company, you will collaborate with cross-functional teams to design, develop, and implement cutting-edge AI and machine learning models. You will leverage big data and cloud computing to enhance IBM’s AI-driven business strategies.
Your primary responsibilities will include:
✅ AI Model Development & Deployment
- Develop, validate, and deploy AI models for predictive and prescriptive analytics.
- Build scalable and efficient machine learning solutions.
- Work with structured and unstructured data to generate business insights.
✅ Data Integration & Processing
- Design efficient data pipelines for large-scale AI applications.
- Implement data preprocessing, feature engineering, and model optimization.
✅ Collaborative AI Innovation
- Work in an Agile and collaborative environment alongside engineers, consultants, and analysts.
- Partner with internal and external clients to develop tailored AI-driven solutions.
- Communicate technical insights to stakeholders with diverse expertise levels.
✅ Machine Learning & Deep Learning
- Develop deep learning models using TensorFlow and PyTorch.
- Implement Natural Language Processing (NLP) and Computer Vision models.
- Optimize AI performance through continuous model improvement.
✅ AI in Business & Strategy
- Leverage AI for automation, process optimization, and business intelligence.
- Apply machine learning techniques to solve real-world challenges.
- Work on Gen AI projects, including code transformation (e.g., COBOL to Java).
🛠 Tools & Technologies
- Programming: Python, R, Java, COBOL
- Frameworks: TensorFlow, PyTorch, Keras, Hugging Face
- Data Science Libraries: SciKit-Learn, Pandas, NumPy, Matplotlib
- Big Data Tools: Apache Spark, Hadoop, PySpark
- Cloud Platforms: AWS, Google Cloud, IBM Cloud
- Databases: SQL, NoSQL, PostgreSQL, MongoDB
- Version Control: Git, GitHub, Bitbucket
🎯 Key Responsibilities
- Proof of Concept (PoC) Development: Develop rapid prototypes to validate AI feasibility.
- Predictive Modeling: Create models to anticipate customer behavior and optimize business strategies.
- Data Wrangling & Integration: Process and integrate data from diverse sources.
- AI-driven Business Intelligence: Transform raw data into actionable insights.
- AI Research & Innovation: Stay updated with latest AI advancements.
📌 Why Join IBM?
IBM is a global leader in AI and enterprise technology, known for its cutting-edge research and innovation. As a Data Scientist at IBM, you will:
✔️ Work on high-impact AI projects that shape industries.
✔️ Collaborate with world-class AI experts and engineers.
✔️ Leverage IBM’s state-of-the-art AI and cloud computing tools.
✔️ Get access to career growth opportunities and upskilling programs.
✔️ Enjoy competitive compensation and employee benefits.
📈 Career Growth & Learning
IBM fosters a culture of continuous learning. As part of the AI team, you will:
- Gain hands-on experience in AI model development and deployment.
- Attend AI summits, hackathons, and training sessions.
- Access IBM’s vast AI research and learning resources.
- Participate in cross-industry AI collaborations.
💡 How to Apply?
Interested in revolutionizing AI with IBM? Apply now! Click the link below to submit your application:
🔗 Apply on IBM Careers
📅 Application Deadline: Open until filled
🚀 Join IBM today and be part of the AI revolution!
