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AI Software Architect

3 months ago

Visakhapatnam, India Netweb Technologies India Ltd. Full time

To join our team and oversee the creation of cutting-edge AI solutions, we are looking for a talented generative AI engineer. Your proficiency in data analysis, deep learning, and generative foundation models will be essential for developing clever and revolutionary AI applications. In the quickly developing field of artificial intelligence, you will collaborate closely with cross-functional teams, Partners and Customers to conceptualize, create, test, and implement AI initiatives that foster innovation and add value. Come work with us and be a part of a vibrant team that is contributing towards Confidential, Sovereign and Responsible AI. the “AI NATIVE” Fabric


Expertise:


Data Engineering

  • Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
  • Experience in model training, model optimization, ML system architecture design, and scalable ML model deployment
  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam
  • Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.
  • Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment.
  • Experience interacting with REST APIs and microservices
  • Proficiency with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.


Data Science/Machine Learning

  • Designing and developing machine learning and deep learning solutions and systems.
  • Using statistical analysis to determine data modeling approach, training machine learning tests and experiments.
  • Possess deep functional and technical understanding of the Machine Learning technologies and provide prescriptive guidance on how these are leveraged across different industry vertical solutions
  • Mine and analyze large structured and unstructured datasets.
  • Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools/Scripts to drive decisions.


Generative AI

  • Hands-on Experience working with Generative AI and LLM based solutions, Training, Fine tuning, Inferencing, Quantization, Model Pruning, Model Benchmarking
  • Hands-on Experience delivering products in Computer Vision, Computational Photography, multimodal-LLMs/Foundation models, Generative AI, Machine Learning (ML), or related areas
  • Hands-on Experience working with RAG technologies such as LLM frameworks (Langchain and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, prompting techniques (Chain of Thought, ReACT, etc.), and vector databases.


Software Engineering

  • Ensure delivery of architecture patterns that effectively leverage data foundation assets and incorporate API led designs
  • Build, Implement and oversee the implementation of new technologies and API functionality across the Solution Scope
  • Ability to create an end to end system architecture for a Data Analytics application.
  • Familiarity with API management platforms like APIGee.
  • Working understanding of software engineering patterns, solutions architecture, information architecture and security architecture with an emphasis on ML/GenAI implementations.
  • Extensive Knowledge on Spark, SQL, NOSQL, Python, PySpark, Scikit-Learn, TensorFlow, PyTorch, Large Language Models – LLAMA and Its Variants, MISTRAL, MIXTRAL, Grok, Stable Diffusion, Bloom, Falcon etc.


Thought Leadership

  • Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
  • Work across diverse teams, perspectives and opinions and quickly build consensus.
  • Encourages informed risk-taking and acts as a catalyst for innovation at Fuse; generates practical, sustainable and creative options to solve problems and create business opportunities, while maximizing existing resources.
  • Communicate results and statistical concepts to key business leaders.
  • Create visualizations of data that make distributions, trends, and results easy to understand for business leaders.
  • Diagnose business need, analyze business process, data flows, IT / technical artifacts and extract understanding of how the system or business process works as input into projects / solutions.
  • Keeps up-to-date on current trends and best practices.
  • Identify high-value ML business opportunities and work with Business and IT stakeholders to realize business benefit.
  • Ensure projects are delivered in-line with ML Reference Architecture, road map and to the defined standards and best practices.


What is expected of you

  • Familiar with the latest and greatest progress in the domain of AI and AGI. How AI is impacting the Industry verticals.
  • Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
  • Familiarity with ethical AI practices, including designing models that are fair, transparent, and respectful of privacy.
  • Participates in the development of policies and procedures to achieve specific goals
  • Recommends new practices, processes, metrics, or models
  • Works on or may lead complex projects of large scope
  • Projects may have significant and long-term impact
  • Provides solutions which may set precedent
  • Independently determines method for completion of new projects
  • Receives guidance on overall project objectives
  • Acts as a mentor to less experienced colleagues


Qualifications

  • Deep knowledge of any of the Industry Vertical and related datasets.

o Oil and Gas

o Healthcare

o Education

o Private 5G

o Government and Public Service Delivery


  • Experience in Generative AI, RAG implementation, re-ranking, vector db, embeddings etc.
  • Proven Machine Learning experience and involvement in data science project or product delivery.
  • Experience with Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, git.
  • Understanding of cloud data engineering and integration concepts. Strong mathematical and statistical skills.
  • 8 + years in any of the industry vertical mentioned above and knowledge of related data, preferred.
  • Delivery experience will be preferred.
  • Delivery of related information software solutions such as data warehouses and integration platforms, preferred.
  • Agile development skills and experience, preferred.
  • Bachelor’s degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. Advanced technical degree is a major plus.