Data Architect - DL/ML

India
Product Development – Product Development /
Full-time /
Remote

We are 3PILLAR GLOBAL
We build breakthrough software products that power digital businesses. We are an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Our key differentiator is our Product Mindset. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset’s core values – Minimize Time to Value, Solve For Need, and Excel at Change. Our teams apply this mindset to build digital products that are customer-facing and revenue-generating. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through market launch and beyond.

In 2023, 3Pillar Global India was named as a “Great Place to Work” for the fifth year in a row based on how our employees feel about our company, collaborative culture, and work/life balance - come join our growing team

Job Description:
 
We are looking for a Data Architect with 12 to 17 years of experience to be part of the product engineering team.



Responsibilities

    • Assessments of existing data components, Performing POCs, Consulting with the stakeholders
    • Proposing end-to-end solutions to an enterprise's data-specific business problems, and taking care of data collection, extraction, integration, cleansing, enriching, and data visualization
    • Ability to design large data platforms to enable Data Engineers, Analysts & Scientists
    • Data Science: Lead the development and design efforts of model architecture, ensuring high-quality results
    • Mentorship and Code Review: Mentor junior developers, conduct code reviews, and enforce coding standards to maintain code quality and facilitate skill development within the team.
    • Performance Optimization: Identify and resolve performance, optimizing model and backend integration for efficiency and more accurate results
    • Documentation and Collaboration: Create and maintain technical documentation, collaborate with cross-functional teams, and contribute to project planning and estimation, ensuring effective communication and project success.
    • Provide thought leadership by representing the Practice / Organization on internal/external platforms

Requirements

    • Must have:
    • - Experience working with AWS, Devops, IAAC, and common Deep Learning frameworks in Python.
    • - At least one of the following: Tensorflow, PyTorch, JAX, ONNX, or Keras.
    • - Experience with the standard ML tools in Python, specifically: numPy, SciPy, and SciKit-Learn.
    • - Strong understanding of the fundamental concepts and architectures used in Deep Learning, including loss functions, activation functions, convolution operators, pooling, attention mechanisms, and optimization algorithms.
    • - Willingness to work in a collaborative manner.
    • At Least One Resource Should Have:
    • - Experience with common NLP Toolkits.
    • - Including at least two of the following: Transformers Library, LangChain, NLTK, Gensim, SentenceTransformers, LlamaIndex, and SpaCy.
    • - Experience serving/deploying ML models in Python.
    • - Preferably using REST or gRPC APIs.
    • - Experience with common Computer Vision Toolkits.
    • - Including at least one of the following: OpenCV, scikit-image, Kornia, PIL.
    • - Experience with CNNs used for Computer Vision.
    • - Experience with Transformer networks for NLP.
    • Leading ML Initiatives

    • Nice to have
    • Experience with Transformer networks for Computer Vision.
    • Experience with LLM-driven search applications.
    • Experience with Time Series forecasting.

Benefits

    • A competitive annual salary based on experience and market demands 
    • Flexi-timings 
    • Work From Anywhere
    • Medical insurance with the option to purchase a premium plan or HSA option for your entire family 
    • Regular Health check-up camps arranged by the company 
    • Recreational activities (Pool, TT, Wii, PS2) 
    • Business casual atmosphere
    • #LI-Remote