Data Scientist

Hello,

Hope this email finds you well.

Job Location: Noida

Job Role: AI/ML Specialist/ Data Scientist

Overview:

An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data.

Key Responsibilities:

1. AI Model Development: Design and develop state-of-the-art AI and ML models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, recommendation systems, and more.

2. Data Preprocessing: Clean, preprocess, and transform raw data to ensure its suitability for AI model training and analysis. This may involve handling missing values, feature engineering, and data normalization.

3. Model Training and Validation: Use various machine learning frameworks and libraries to train AI models on large datasets. Validate and fine-tune models to achieve optimal performance and accuracy.

4. Deployment and Integration: Integrate AI models into data intelligence platforms and ensure seamless deployment in production environments, making them accessible to end-users.

5. Performance Monitoring and Optimization: Continuously monitor the performance of deployed models and optimize them as needed to adapt to changing data patterns and business requirements.

6. Data Visualization: Create meaningful and intuitive visualizations to communicate complex data insights to stakeholders effectively.

7. Collaborate with Cross-Functional Teams: Work closely with data engineers, data scientists, product managers, and other stakeholders to understand business needs and align AI solutions with the company's objectives.

8. Stay Updated on AI/ML Trends: Keep abreast of the latest advancements in AI/ML technologies, industry trends, and best practices to ensure the organization remains at the forefront of innovation.

Skills and Qualifications:

- Strong educational background in computer science, data science, artificial intelligence, or a related field (Master's or Ph.D. preferred).

- Extensive experience in developing AI and ML models, ideally in a data intelligence or analytics-focused company.

- Proficiency in programming languages such as Python, R, or Java, along with familiarity with popular AI/ML libraries like TensorFlow, Keras, PyTorch, and scikit-learn.

- Expertise in handling and analyzing large datasets, using tools like SQL, Spark, or Hadoop.

- Deep understanding of various machine learning algorithms and statistical methods.

- Experience with data visualization tools like Tableau, Power BI, or Matplotlib.

- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services.

- Excellent problem-solving and analytical skills, with the ability to translate business requirements into AI solutions.

- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.