Who We Are

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $6 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh and Pune.

Work Location - Bengaluru

The Role

Join Addepar’s innovative data and intelligence initiatives! We're seeking a Software Engineer to craft and build an AI/ML Ops platform from the ground up, enabling our teams to scale AI/ML solutions efficiently!

What You’ll Do

• Build and scale a comprehensive platform, accelerating AI adoption across teams.
• Use core Addepar systems like the Data Lakehouse to advise and strategize Ops and Data Governance infrastructure.
• Simplify processes by promoting strategic data architecture and optimized workflows.
• Implement data governance strategies to enhance the value of our data.

Who You Are

• 2+ years of relevant work experience and 4+ years of overall experience that shows proficiency in platform development, particularly in enabling Machine Learning and AI outcomes.
• Proficient in one or more cloud platforms (AWS, GCP, Azure), with hands-on experience in cloud infrastructure and handling machine learning workloads.
• Strong expertise in CI/CD for ML pipelines—building, automating, and optimizing the pipeline lifecycle.
• Experienced with containerization (Docker, Kubernetes) to deploy models at scale.
• Skilled in monitoring and observability tools like FiddlerAI, Datadog, and Grafana to track model performance, data drift, and system health.
• Knowledge of Infrastructure as Code tools (Terraform, Ansible, CloudFormation) for consistent, scalable environment setups.
• Familiar with ML lifecycle management (Kubeflow, MLflow, TFX) to manage experiments, model versioning, and deployment.
• A collaborative, low-ego problem-solver who takes ownership and delivers results.

Bonus points for:

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

Our Values 

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value. 
• Champion Our Clients - Exceed client expectations. Our clients’ success is our success. 
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. 
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. 

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

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

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.