Senior MLOps Engineer - Remote AI Deployment Leader

About Us

AtSPDTechnology, webring together ateam oflike-minded people who are driven bythe desire tobring value through their work, united intheir commitment tohigh performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. Weempower our people with aculture ofexcellence and enable them with the opportunity touphold their accountability tocontribute oneach level. Wevalue humanity and collaboration, encourage professional and personal growth, and foster asupportive and flexible work environment where everyone’s contribution iswelcomed.

Now weare looking for a Senior MLOperations Engineer tojoinus aspart ofour team.

About the role

AsaSenior MLOperations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges inthe MLdevelopment, deployment, and support lifecycle. This role offers autonomy indecision-making, encouraging aproactive approach tosolving complex issues and finding optimal solutions for scalable systems.

About the project

PitchBook— aplatform for investment professionals. Our software provides access todata and the analytical tools toget answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data ofmore than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features ofPitchBook: Advanced search/ Discovery &insights/ Company profiles/ Workflow &efficiency/ Financials and many more.

Team composition

1Engineering Manager, 4Senior MLOps Engineers

Work Environment

The role offers aflexible work schedule, allowing you toadapt your working hours with the requirement toattend all team meetings. The team follows aScrum-based Agile methodology.

Asaqualified expert, You will

• Serve asaforce multiplier for development teams bycreating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders inanAgile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver onprojects end-to-end with little tonoguidance.
• Provide support toteams building and deployingAI applications byaddressing common pain points inthe MLDLC.
• Learn constantly and bepassionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can beleveraged toimprove PitchBook’s AIcapabilities.
• Support the vision and values ofthe company through role modeling and encouraging desired behaviors.
• Participate invarious cross-functional company initiatives and projects asrequested.
• Contribute tostrategic planning inaway that ensures the team isbuilding exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can beused tooptimize processes and costs with minimal guidance.

We’re looking for you ifyou have

• Degree inComputer Science, Information Systems, Machine Learning, orasimilar field preferred (orequivalent practical experience).
• 5+years ofhands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+years ofexperience designing and building distributed software systems and architectures.
• 3+years ofhands-on experience deploying and operating Machine Learning services inproduction.
• Experience supportingML lifecycle operations including post-deployment monitoring and maintenance.
• Experience incloud-native stack, with apractical understanding ofcontainerization technologies such asKubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability todecompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus onbuilding scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability toengage effectively with internal customers across various cultures and regions.
• Ability tobeateam player who can also work independently.
• Experience working across multiple development teams isaplus.

Bonus points

• Experience with cloud platforms (AWS, Google Cloud Platform, orAzure).
• Proficiency inGitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLMInfrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLMTooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, orsimilar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google VertexAI, orAzure ML
• Familiarity withML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• MLexperiment tracking and model management: Weights &Biases, MLflow, KubeFlow.
• API development with FastAPIor similar frameworks.
• Java programming experience isaplus.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.

Embrace the opportunity for personal and professional growth

Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.

Feel cared about

Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Interview steps

• Interview with the recruiter
• Live Coding (upto30min)
• Tech Interview: MLFundamentals, Software Engineering (upto60min)
• MLSystem Design Interview (upto45min)
• Interview with Engineering Manager (60min)