Dear Candidate,

We are looking for highly skilled and experienced professionals for the role of Senior Data Engineer / Senior AI & ML Engineer with strong expertise in enterprise data platforms, artificial intelligence, machine learning, and large-scale analytics solutions. The ideal candidate should possess deep technical knowledge in modern data engineering and AI/ML ecosystems, along with experience delivering scalable and secure solutions for government or public sector programs. The role requires hands-on engineering expertise, architecture understanding, and the ability to work across complex data transformation and AI-driven initiatives.

Key Responsibilities

Data Engineering Responsibilities

Design, develop, and maintain scalable data pipelines and enterprise data platforms.
Build robust ETL/ELT frameworks for structured and unstructured data processing.
Develop and optimize data ingestion, transformation, and integration workflows.
Implement data lakes, data warehouses, and real-time streaming architectures.
Ensure data quality, governance, security, lineage, and compliance standards.
Work with large-scale datasets from multiple enterprise and government systems.
Optimize data storage, processing performance, and scalability.

AI/ML Responsibilities

Design, develop, train, and deploy machine learning and AI models for enterprise use cases.
Build predictive analytics, NLP, computer vision, recommendation systems, or intelligent automation solutions.
Implement MLOps practices for model deployment, monitoring, retraining, and governance.
Collaborate with business and domain teams to translate requirements into AI-driven solutions.
Evaluate emerging AI technologies and recommend modernization strategies.
Develop responsible AI frameworks aligned with governance and compliance requirements.

Job Requirements:

· Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field.

8+ years of hands-on experience in Data Engineering and AI/ML practices.
Data Engineering- Strong expertise in: Python ,SQL ,Spark / PySpark ,Hadoop ecosystem ,ETL/ELT pipelines ,Data Warehousing concepts
Experience with: Apache Kafka ,Airflow ,Databricks ,Snowflake ,Big Data technologies
Strong knowledge of batch and real-time data processing.

· AI/ML Engineering: Hands-on experience in: Machine Learning algorithms ,Deep Learning frameworks ,NLP and Generative AI concepts ,Model training and deployment

Experience with: ensorFlow / PyTorch / Scikit-learn ,ML pipelines and MLOps frameworks ,Model monitoring and optimization
Understanding of AI governance, explainability, and responsible AI practices.
Experience with cloud platforms such as: AWS ,Azure ,GCP
Knowledge of: Docker ,Kubernetes ,CI/CD pipelines ,Infrastructure automation
Experience working on Government/Public Sector digital transformation projects.
Understanding of governance, compliance, security, and large-scale citizen data systems.
Exposure to smart governance, public administration, e-governance, or national-scale platforms is an advantage.

Preferred Skills

Experience with GenAI, LLMs, Retrieval-Augmented Generation (RAG), or AI copilots.
Familiarity with graph databases and knowledge graphs.
Exposure to data governance and metadata management tools.
Experience with BI and analytics platforms such as Power BI or Tableau.
Certifications in Cloud, Data Engineering, or AI/ML are preferred.

Senior Data & AI/ML Engineer