Senior Data Engineer (AI & ML)

We are looking for highly skilled and experienced professionals for the role of Senior Data Engineer (AI & ML) 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.  General Responsibilities • Collaborate with architects, business teams, analysts, and engineering teams.  • Provide technical leadership and mentoring to junior engineers and data scientists.  • Participate in architecture discussions, code reviews, and technical governance.  • Support cloud migration, modernization, and digital transformation initiatives.  • Prepare technical documentation, solution designs, and implementation plans.  • Ensure adherence to security, privacy, and regulatory compliance standards.  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:  • TensorFlow / PyTorch / Scikit-learn  ML pipelines and MLOps frameworks  Model monitoring and optimization  • Understanding of AI governance, explainability, and responsible AI practices.  Cloud & DevOps • Experience with cloud platforms such as:  • AWS  Azure  GCP  • Knowledge of:  • Docker  Kubernetes  CI/CD pipelines  Infrastructure automation  Government/Public Sector Experience (Preferred) • 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.