AI Transformation - Data Engineering

3 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

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Job Description

Job Title: Senior AI Transformation Specialist

Experience: 3+ years

Job Location: Hyderabad


Job Overview:

This is a customer-facing, hands-on leadership role responsible for delivering end-to-end AI transformation starting from AI readiness assessments and data strategy to model development, intelligent agent deployment, and automation. The ideal candidate will have consulting experience, excellent communication skills, and a strong background in data engineering and applied AI.


Primary Responsibilities:

· Engage directly with customers to understand their business goals, current challenges, and workflow gaps.

· Conduct detailed discovery sessions to assess existing data infrastructure, sources, and readiness for AI.

· Identify AI opportunities and recommend tailored solutions aligned with the customer’s use case.

· Design scalable data pipelines and AI-ready data layers while ensuring data quality and integrity.

· Develop and deploy AI/ML models and intelligent agents integrated with business operations.

· Ensure all solutions align with customers' data security, privacy, and compliance requirements.

· Collaborate with internal teams to ensure smooth delivery, adoption, and long-term success of AI solutions.

· Communicate technical solutions clearly to both technical and non-technical stakeholders.


Required Skills and Qualifications:

· 3+ years of experience in AI/data transformation roles at a consulting or technology services company.

· Proven experience in engaging enterprise clients and leading AI strategy and execution.

· Strong knowledge of data engineering, cloud data lakes, and modern AI/ML development workflows.

· Hands-on experience with Python, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch.

· Familiarity with LLMs, AI agent frameworks (e.g., LangChain, RAG), and vector databases (e.g., FAISS, Qdrant).

· Experience with cloud platforms like Azure, AWS, or GCP.

· Strong understanding of data security and regulatory compliance in solution design.

· Excellent communication and stakeholder management skills.

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