• Provide hands-on technical direction for generative AI projects, including architecture decisions and solution design
• Apply expertise in LLMs, data science, and object-oriented programming to guide delivery from prototype to production
• Leverage tools like Databricks, Python, R, and SQL across the project lifecycle — including building and managing data pipelines, feature engineering, and model deployment within the Databricks ecosystem

Team Leadership & Mentorship

• Lead and develop a cross-functional team of data scientists, AI engineers, and software engineers
• Set clear expectations, support career growth, and build a team culture oriented around craft and client outcomes
• Model the technical and communication standards you expect from the team

Cross-Functional Collaboration

• Drive alignment across AI, analytics, strategy, and engineering disciplines within OneMagnify
• Partner with delivery and operations teams to ensure AI workstreams integrate cleanly into broader project execution
• Represent the AI practice in client-facing settings alongside strategy and creative counterparts

Practice Development

• Stay current on the evolving AI landscape — new models, platforms, tools, and use cases — and bring relevant developments into client conversations and internal delivery
• Contribute to OneMagnify's point of view on AI-enabled solutions and how the practice continues to grow

What You'll Need:

• Bachelor's degree in computer science, data science, engineering, or a related field; Master's degree preferred
• 6+ years of experience in AI, data science, or ML engineering — with at least 2 years managing technical teams (data scientists, AI/ML engineers, or software engineers)
• Proven ability to take AI projects from conception through production, including architecture decisions, model deployment, and stakeholder communication
• Hands-on experience with LLMs, generative AI, and object-oriented programming
• Proficiency in Python, R, and SQL
• Hands-on experience with Databricks, including MLflow, Delta Lake, Unity Catalog, or Databricks-native model serving
• Working knowledge of MLOps practices — model versioning, monitoring, retraining pipelines, and scaling models in production environments
• Exposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
• Comfortable presenting complex technical work to non-technical clients and executive stakeholders

Future-Ready Skills (Nice to Have):

• Experience with agentic AI frameworks or orchestration tools (e.g., LangChain, AutoGen, or similar)
• Familiarity with prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG) in a production or client context
• Experience in a digital services, consulting, or agency environment where AI work is delivered alongside strategy and creative disciplines

• Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

Originally posted on Himalayas