AI / ML Developer (Lead)

&ltp&gtKey Responsibilities&lt/p&gt&ltp&gt? Lead Data Engineering, AI Engineering, and GenAI delivery teams.&lt/p&gt&ltp&gt? Design scalable data lakes, lakehouses, data warehouses, and analytics platforms.&lt/p&gt&ltp&gt? Build and oversee ETL/ELT pipelines, streaming architectures, and data governance&lt/p&gt&ltp&gtframeworks.&lt/p&gt&ltp&gt? Lead development of ML, MLOps, LLM, RAG, and AI Agent solutions.&lt/p&gt&ltp&gt? Drive engineering best practices, CI/CD, security, observability, and performance&lt/p&gt&ltp&gtoptimization.&lt/p&gt&ltp&gt? Collaborate with business stakeholders, product owners, and architects.&lt/p&gt&ltp&gtRequired Qualifications&lt/p&gt&ltp&gt? 10+ years of experience in software, data, or AI engineering.&lt/p&gt&ltp&gt? 5+ years leading engineering teams and enterprise programs.&lt/p&gt&ltp&gt? Bachelor&ampamp;#39;s or Master&ampamp;#39;s degree in Computer Science, Engineering, Data Science, or&lt/p&gt&ltp&gtrelated field.&lt/p&gt&ltp&gtTechnical Skills&lt/p&gt&ltp&gt? Python, SQL, PySpark, REST APIs, Git, DevOps&lt/p&gt&ltp&gt? Azure, AWS, or Google Cloud&lt/p&gt&ltp&gt? Microsoft Fabric, Databricks, Synapse, Data Factory&lt/p&gt&ltp&gt? Machine Learning, Deep Learning, NLP, MLOps&lt/p&gt&ltp&gt? Azure OpenAI, OpenAI, LangChain, Semantic Kernel, Vector Databases, RAG, AI Agents&lt/p&gt&ltp&gtLeadership Competencies&lt/p&gt&ltp&gt? Technical Leadership&lt/p&gt&ltp&gt? Strategic Thinking&lt/p&gt&ltp&gt? Delivery Excellence&lt/p&gt&ltp&gt? Stakeholder Management&lt/p&gt&ltp&gt? People Development&lt/p&gt&ltp&gt? Innovation Mindset&lt/p&gt&ltp&gtPreferred Certifications&lt/p&gt&ltp&gt? Azure AI Engineer Associate&lt/p&gt&ltp&gt? Azure Solutions Architect Expert&lt/p&gt&ltp&gt? Fabric Analytics Engineer&lt/p&gt&ltp&gt? Databricks Professional&lt/p&gt&ltp&gt? AWS ML Specialty&lt/p&gt