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AI & ML Architect @ UKG

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 AI & ML Architect

Job Description


Role Overview:As a Senior Principal Software Engineer, you will be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You will lead high priority projects, set technical direction for teams, and ensure alignment with organizational goals. Thisrole demands a high degree of technical expertise, strategic thinking, and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar.Key Responsibilities: Strategic Technical Leadership :
  • Define and drive the technical vision and roadmap for AI/GenAI systems, aligning with company objectives and future growth.
  • Provide architectural leadership for complex, large-scale AI systems, ensuring scalability, performance, and maintainability.
  • Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. Advanced AI Product Development: 
  • Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures.
  • Drive innovation by exploring and integrating emerging AI technologies and best practices. Mentorship & Team Growth: 
  • Mentor senior and junior engineers, fostering a culture of continuous learning and technical excellence.
  • Elevate the teams capabilities through coaching, training, and providing guidance on best practices and complex problem-solving. End-to-End Ownership: 
  • Take full ownership of high-impact projects, from ideation and design to implementation, deployment, and monitoring in production.
  • Ensure the successful delivery of projects with a focus on quality, timelines, and alignment with organizational goals. Collaboration & Influence: 
  • Collaborate with cross-functional teams, including product managers, data scientists, and engineering leadership, to deliver cohesive and impactful solutions.
  • Act as a trusted advisor to stakeholders, clearly articulating technical decisions and their business impact. Operational Excellence: 
  • Champion best practices for software development, CI/CD, and DevOps, ensuring robust and reliable systems.
  • Monitor and improve the health of deployed services, conducting root cause analyses and driving preventive measures for long-term reliability. Innovation & Continuous Improvement: 
  • Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and product capabilities.
  • Stay at the forefront of AI/GenAI research, driving thought leadership and contributing to the AI community through publications or speaking engagements. Minimum Qualifications: 
  • Educational BackgroundBachelors or Masters degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required.
  • Experience10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. Proven track record of designing and deploying scalable, production-grade AI solutions.
  • Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, and LangChain.
  • Advanced knowledge of AI/ML algorithms, generative models, and LLMs.
  • Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).
  • Leadership Skills:
  • Demonstrated ability to lead complex technical initiatives, influence cross functional teams, and mentor engineers at all levels.
  • Problem-Solving Skills:
  • Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful solutions.
  • CollaborationExcellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders. Preferred Qualifications: 
  • AI/ML ExpertiseExperience with multi-modal models, reinforcement learning, and responsible AI principles.
  • Cloud & InfrastructureAdvanced knowledge of GCP technologies such as VertexAI, BigQuery,GKE, and DataFlow.
  • Thought LeadershipContributions to the AI/ML community through publications, open-source projects, or speaking engagements.
  • Agile ExperienceFamiliarity with agile methodologies and working in a DevOps model.
    Disability Accommodation: UK*******s@***.com.

    • Job Classification

    Industry: Software Product
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Technical Architect
    Employement Type: Full time

    Contact Details:

    Company: UKG
    Location(s): Pune

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    Keyskills:   python distribution system artificial intelligence microservices ml algorithms algorithms software development microsoft azure glm cloud platforms aiml sql nosql tensorflow gcp devops pytorch bigquery agile aws ml agile methodology

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    UKG

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