AI Engineer - WGDT

Wadhwani Foundation; India; Remote; INR 10,00,000 - 15,00,000; Full time

Job summary

A pioneering organization in social impact is seeking an AI Engineer to develop AI solutions that support digital transformation initiatives within government entities. The ideal candidate will have at least 5 years of relevant experience, proficiency in machine learning and programming, and a strong collaborative spirit. This role offers the opportunity to make a significant impact on government policies and initiatives in India.

Qualifications

• 5+ years of experience in a related field.
• Prior experience in deploying AI models in production environments is a plus.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop and implement AI/GenAI models for business challenges.
• Collaborate with data scientists to design and deploy scalable AI solutions.
• Research new AI technologies and frameworks.

Skills

Machine learning algorithms

Deep learning frameworks (e.g., TensorFlow, PyTorch)

Programming languages such as Python, Java, or C++

Data processing libraries (e.g., NumPy, Pandas)

Cloud platforms (e.g., AWS, Azure, Google Cloud)

Containerization technologies (e.g., Docker, Kubernetes)

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field

Tools

Spark

Hadoop

Databricks

Job description

Overview

The Role Context: This is an exciting opportunity to join a dynamic and growing organization, working at the forefront of technology trends and developments in social impact sector. Wadhwani Center for Government Digital Transformation (WGDT) works with the government ministries and state departments in India with a mission of enabling digital transformation to enhance the impact of government policy, initiatives and programs.

We are seeking a highly motivated and detail-oriented individual to join our team as an AI Engineer with experience in developing cutting-edge AI/GenAI solutions that drive innovation and contribute to the successful implementation of digital government policies and programs. You will collaborate with cross-functional teams to design, implement, and deploy AI models and algorithms to solve complex problems and optimize business processes across various government ministries and state departments in India.

Responsibilities

1. Develop and implement AI/GenAI models and algorithms to address business challenges and improve operational efficiency.
2. Collaborate with data scientists and software engineers to design and deploy scalable AI solutions.
3. Research and evaluate new AI technologies, frameworks, and tools to enhance our capabilities and stay ahead of industry trends.
4. Design and optimize machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
5. Work closely with product managers and stakeholders to understand requirements and translate them into actionable AI solutions.
6. Conduct experiments and analyze data to measure the performance of AI models and identify areas for improvement.
7. Ensure the reliability, scalability, and maintainability of AI systems in production environments.
8. Stay up-to-date with the latest advancements in AI, machine learning, GenAI and related fields, and share knowledge with the team through presentations, workshops, and technical discussions.

Qualifications

• a) Bachelors or Masters degree in Computer Science, Software Engineering, Data Science, mathematics, or a related field with at least 5 years of experience.
• b) Solid understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI techniques.
• c) Proficiency in programming languages such as Python, Java, or C++.
• d) Experience with data processing and manipulation libraries (e.g., NumPy, Pandas) and big data technologies (e.g., Spark, Hadoop, Object stores, Databricks, etc.).
• e) Strong analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful insights.
• f) Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• g) Prior experience in deploying AI models in production environments is a plus.
• h) Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is desirable.

KPIs

1. Model Performance Metrics: Accuracy, precision, recall, F1 score, and other relevant metrics specific to the AI models being developed for government ministries and programs.
2. Model Efficiency: Time taken for model training, inference time, and resource utilization (e.g., CPU/GPU usage, memory consumption).
3. Data Quality and Quantity: Measurement of data completeness, correctness, and diversity to ensure robust model performance.
4. Feature Engineering: Efficiency in feature selection, transformation, and extraction to enhance model accuracy and efficiency.
5. Model Deployment Time: Time taken from model development to deployment in production environments.
6. System Reliability: Monitoring system uptime, error rates, and response times to ensure consistent AI services.
7. Feedback Loop Effectiveness: Ability to incorporate feedback from users or other systems to iteratively improve models.
8. Model Interpretability: Development and implementation of techniques to explain AI model predictions and decisions.
9. Continuous Learning: Engagement in ongoing learning activities to stay updated with the latest AI techniques, technologies, and best practices.
10. Collaboration and Communication: Effectiveness in collaborating with cross-functional teams and communicating technical concepts to non-technical stakeholders of various stakeholders involved in the government program.

Experience

Ideal years of experience: 3-5 years