Associate Lead - Data & AI

ProArch is seeking a dynamic, hands-on resource to join our team and drive innovation, solve complex problems, and support business growth.

Our culture thrives on working with ambiguity, a consultative mindset, and being a generalist capable of leveraging multiple platforms (Azure, AWS, GCP). This role will be pivotal in fostering continuous innovation, providing technical leadership, and delivering solutions that align with our strategic goals.

You will play a critical role in building innovative solutions, supporting presales, and enabling delivery teams. Your expertise and consultative approach will help navigate vagueness and create impactful outcomes for clients.

Key Responsibilities:

Continuous Innovation:

Idea Generation and Evaluation: Build and maintain a list of ideas, evaluated using the Idea Approval Committee.

• Assess feasibility using criteria such as transferability across domains, strategic fit, market potential, and revenue impact.
• Contribute to building MVPs and launching them in the market.

Sample Innovation Areas:

o IoT Testing

o Blockchain in Testing

o AI for Safety

o Generative AI Applications: BDD Testing, Automated Test Authoring

o Modernizing applications using Computer Vision and Generative AI

Presales Support:

Partner with presales teams to craft innovative solutions tailored to client needs.

Delivery Problem-Solving:

Provide technical expertise to resolve complex challenges faced by delivery teams.

Education for Sales and Marketing Teams:

Conduct workshops and knowledge-sharing sessions to enable sales and marketing teams to present new products and solutions effectively.

Sales Insights Sharing:

Share detailed summaries from sales calls with solutioning teams to offer insights into customer needs.

Technical Expertise:

Design and deploy end-to-end solutions in Data Engineering, Machine Learning (ML), AI, and full-stack development.

Build data pipelines using tools such as Apache Spark, Databricks, Kafka, or Snowflake.

Expertise in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, or LangChain.

Experience in building and deploying Generative AI applications, including LLM fine-tuning and integration.

Advanced knowledge in NLP, Computer Vision, and Recommendation Systems.

Full-stack expertise:

Frontend: React, Angular, or Vue. js.

Backend: Node. js, Python (Flask/Django), Java (Spring Boot), or . NET.

Databases: SQL Server, PostgreSQL, MongoDB, or Cosmos DB.

Proficiency in cloud platforms (Azure, AWS, GCP):

AI services (e. g. , Azure Cognitive Services, AWS SageMaker, GCP Vertex AI).

Serverless architectures and microservices.

Cloud-native data services (e. g. , Azure Synapse, AWS Redshift, GCP BigQuery).

Experience in developing APIs (REST/GraphQL) and integrating with third-party systems.

Strong understanding of DevOps and CI/CD pipelines: Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes.