Data Engineer - Artificial Intelligence/Machine Learning

Responsibilities

• Strategic Data & AI Advisory : Lead the development of data and AI strategies that align with clients business objectives, enabling digital transformation and data-driven Data & AI Strategy : Design comprehensive data and AI roadmaps, helping clients unlock insights and drive innovation through advanced analytics and automation.
• Data Governance Leadership : Design and implement data governance frameworks including policies, roles, processes, and tools to ensure data quality, security, compliance, and usability across the organization.
• Guide clients on data stewardship, metadata management, master data management (MDM), and regulatory compliance (e.g., GDPR, HIPAA).
• IT Infrastructure Optimization : Oversee the assessment and optimization of clients IT infrastructure, systems, and processes to enhance efficiency and scalability.
• Technology Consulting : Provide expert guidance on the selection, deployment, and integration of technology solutions including software, hardware, cloud, and network systems.
• Cross-functional Collaboration : Work closely with engineering, business, and data teams to deliver tailored, end-to-end IT solutions that meet client-specific needs.
• Assessment & Solution Design : Conduct detailed assessments of clients IT environments and recommend targeted improvements or AI & ML Automation : Architect and deploy machine learning and AI solutions to optimize operations, automate decision-making, and generate business insights, using best-in-class technologies and platforms.
• Client Relationship Management : Serve as a trusted advisor, cultivating long-term relationships with clients and providing continuous strategic support.
• Innovation & Best Practices : Stay ahead of industry trends in data, AI, and IT strategy, bringing new ideas and continuous improvement to client engagements and internal consulting frameworks.
• Workshops & Enablement : Facilitate client workshops, training sessions, and capability-building engagements to foster adoption of data and AI practices.
• Governance & Risk Oversight : Identify and mitigate risks related to data use, technology implementation, and regulatory compliance.
• Methodology Development : Contribute to the evolution of internal consulting frameworks, tools, and best practices to enhance team performance and service quality.
• Monitoring & Reporting : Track project progress against milestones and communicate updates to clients and leadership, ensuring transparency and :
• Education : Bachelors or Masters degree in Computer Science, Data Science, Business Analytics, or a related field.
• Experience : 3 years in consulting roles with a focus on data strategy, AI/ML, and project management.
• Technical Skills : Proficiency in data analytics tools (e.g., Python, R), machine learning frameworks (e.g., TensorFlow, scikit-learn), and data visualization platforms (e.g., Tableau, Power BI).
• Certifications : Relevant certifications such as PMP, Certified Data Management Professional (CDMP), or equivalent are advantageous.
• Soft Skills : Excellent communication, problem-solving, and interpersonal skills. Ability to work collaboratively in a team
  

Skills And Abilities

• Strong analytical and problem-solving skills.
• Excellent communication and documentation skills.
• Ability to work independently and as part of a team.
• Detail-oriented with a strong commitment to data security.
• Familiarity with data security tools and Qualifications :
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• Familiarity with regulatory standards related to data privacy and security (e.g., GDPR, HIPAA).
• Demonstrated ability to drive business development and contribute to practice growth.