AI Engineer - WGDT

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 a 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 optimizing business processes across various government ministries and state departments in India.

Key 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.
   

Desired Skills/ Competencies

a)       Bachelor's or Master's 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 program.

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.

Years of experience of the current role holder 

New Position

Ideal years of experience 

3 – 5 years

Career progression for this role 

CTO WGDT (Head of Incubation Centre)

*******************************************************************************

Wadhwani Corporate Profile: (Click on this link)

Our Culture:

WF is a global not-for-profit, and works like a start-up, in a fast-moving, dynamic pace where change is the only constant and flexibility is the key to success.

Three mantras that we practice across job roles, levels, functions, programs and initiatives, are Quality, Speed, Scale, in that order.

We are an ambitious and inclusive organization, where everyone is encouraged to contribute and ideate. We are intensely and insanely focused on driving excellence in everything we do. 

We want individuals with the drive for excellence, and passion to do whatever it takes to deliver world class outcomes to our beneficiaries. We set our own standards often more rigorous than what our beneficiaries demand, and we want individuals who love it this way.

We have a creative and highly energetic environment – one in which we look to each other to innovate new solutions not only for our beneficiaries but for ourselves too. Open to collaborate with a borderless mentality, often going beyond the hierarchy and siloed definitions of functional KRAs, are the individuals who will thrive in our environment.

This is a workplace where expertise is shared with colleagues around the globe. Individuals uncomfortable with change, constant innovation, and short learning cycles and those looking for stability and orderly working days may not find WF to be the right place for them.

Finally, we want individuals who want to do greater good for the society leveraging their area of expertise, skills and experience.

The foundation is an equal opportunity firm with no bias towards gender, race, colour, ethnicity, country, language, age and any other dimension that comes in the way of progress.

Join us and be a part of us!