Sr. Software Engineer - Ai/ml Operations Job in Addepar

Work Location: Bengaluru

The Role

Join Addepar s innovative data and intelligence initiatives as a Staff Engineer! In this role, you will design and build an AI/ML Ops platform from the ground up, facilitating efficient scaling of AI/ML solutions across our teams.

What You ll Do

• Platform Development: Build and scale a comprehensive platform to accelerate AI adoption within the organization.
• Collaboration: Work closely with product managers and engineers to define requirements and architect solutions for complex data and workflow challenges.
• Data Governance: Utilize core Addepar systems like the Data Lakehouse to strategize and advise on Ops and Data Governance infrastructure.
• Process Optimization: Simplify processes by promoting strategic data architecture and optimized workflows.
• Data Strategies: Implement data governance strategies to enhance data value.

Who You Are

• Experience: 7+ years in relevant work and 10+ years overall, with a focus on platform development for AI and ML outcomes.
• Cloud Proficiency: Expertise in one or more cloud platforms (AWS, GCP, Azure) with hands-on experience managing machine learning workloads.
• CI/CD Expertise: Strong experience in building, automating, and optimizing CI/CD pipelines for ML.
• Containerization: Proficient with containerization tools (Docker, Kubernetes) for deploying models at scale.
• Monitoring Tools: Skilled in monitoring and observability tools (e.g., FiddlerAI, Datadog, Grafana) for tracking model performance and system health.
• Infrastructure as Code: Knowledgeable in tools like Terraform, Ansible, or CloudFormation for scalable environment setups.
• ML Lifecycle Management: Familiar with tools like Kubeflow, MLflow, or TFX for managing experiments and model deployment.
• Security & Compliance: Experienced in securing ML systems and ensuring compliance with regulations such as GDPR.
• Problem Solver: A collaborative, low-ego individual who takes ownership and delivers results.
• Data Governance: Experience with data governance initiatives.

Bonus Points For:

• Familiarity with LLM frameworks (LangChain, Llama Index, Semantic Kernel) and LLM observability.
• Experience handling large-scale datasets and high-velocity data streams.
• Proficiency with ML frameworks (TensorFlow, PyTorch).
• Knowledge of the financial domain.
• Experience with PySpark, Databricks, or similar technologies (willingness to cross-train).

Our Values

• Act Like an Owner: Operate with intention and care. Own outcomes.
• Build Together: Collaborate to find the best solutions and deliver lasting value.
• Champion Our Clients: Exceed client expectations; our clients' success is our success.
• Drive Innovation: Be bold in problem-solving and transformative in our industry.
• Embrace Learning: Engage with our community to broaden perspectives and foster a growth mindset.