AI/ML Lead Engineer

Role Overview: As a software engineer with 8+ years of experience, including at least 5 years in AI/ML solution delivery, you will have a strong understanding of tax-related data structures. You will be required to build and deploy machine learning models using Python, TensorFlow/PyTorch, and ML Ops frameworks. Additionally, hands-on experience with Knowledge graph technologies such as Neo4j, RDF, SPARQL, and GraphQL will be essential. Your deep familiarity with software architecture, microservices, and API design will play a crucial role in this position. Experience with NLP techniques for document comparison and semantic analysis is also a requirement. Your proven ability to lead cross-functional teams and deliver complex projects on time, along with strong communication and stakeholder management skills will be beneficial for this role. Key Responsibilities: - Utilize your expertise in AI/ML solution delivery to build and deploy machine learning models using Python, TensorFlow/PyTorch, and ML Ops frameworks. - Work with tax-related data structures, including IRS TRCs, to enhance the understanding of tax-related information. - Apply hands-on experience with Knowledge graph technologies such as Neo4j, RDF, SPARQL, and GraphQL to develop innovative solutions. - Collaborate with cross-functional teams to design and implement software architecture, microservices, and APIs. - Utilize NLP techniques for document comparison and semantic analysis to improve data processing capabilities. - Lead and mentor team members, ensuring timely delivery of complex projects. Qualifications Required: - 8+ years of experience in software engineering, with at least 5 years in AI/ML solution delivery. - Strong understanding of tax-related data structures, especially IRS TRCs. - Expertise in building and deploying machine learning models using Python, TensorFlow/PyTorch, and ML Ops frameworks. - Hands-on experience with Knowledge graph technologies (e.g., Neo4j, RDF, SPARQL, GraphQL). - Deep familiarity with software architecture, microservices, and API design. - Experience with NLP techniques for document comparison and semantic analysis. - Proven ability to lead cross-functional teams and deliver complex projects on time. - Strong communication and stakeholder management skills.,