About Motifworks

At Motifworks, we are AZURESMART. We are one of the fastest-growing cloud solutions providers, specializing in Cloud Adoption, Application Innovation, and Effective Data Strategies. Our passion is to empower you to accelerate your digital transformation initiatives using the Microsoft Azure cloud. We’re here to simplify your path to explore what’s possible.

Corporate Office

200 W Townsontown Blvd, Suite 300D, Towson, MD, 21204, US

Regional Offices

Philadelphia ¦ Detroit ¦ Dallas ¦ Florida ¦ Cincinnati ¦ Ohio

Development Office

101 Specialty Business Center, Balewadi Road, Pune- 411045, Maharashtra, India

Connect with us
info@motifworks.com +1 443-424-2340
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Machine Learning Lead

Job Type: Full Time
Job Location: Hybrid Pune
Experience: 8+ Years

Machine Learning Lead

Job Type: Full Time
Job Location: Pune, Hybrid
Total Experience: 8+ Years

Roles & Responsibilities

  • Provide design and architecture of E2E ML solutions using Azure & open-source frameworks
  • Design, Train, Re-Train, and Monitor machine learning models
  • Provide solutions (s) and implement them to solve complex problems with multilayered datasets
  • Optimize/Enhance existing machine learning models, libraries, and frameworks
  • Collaborate with the data team including scientists, engineers, and data architects to propose optimized solution(s)
  • Help identify opportunities to solve complex challenges and deliver tangible business benefits through Analytics, AI/Machine Learning solutions, and skillsets
  • Work closely and collaboratively with other functions within BI & Analytics to assess the scalability of analytical opportunities and further development into production-level solutions
  • Build cost & performance-optimized data pipelines to feed machine learning models
  • Analyse & Transform data science prototypes
  • Perform statistical analysis and use results to improve models
  • Set up the ML Ops & development practices
  • Train/Guide the team to improve the delivery outcomes

Technical Skills

  • Proficient in solutioning the ML challenges
  • Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Scikit-Learn, & etc
  • Proficient in fine-tuning DL models including LLMs, SLMs
  • Proficient with Vector Stores and RAG pipelines
  • Proficient with various data ingestion techniques including event sourcing
  • Proficient with Data-Modelling Tools
  • Proficient with multiple ML deployment strategies including static and dynamic
  • Proficient in ML Ops like continuous integration, continuous deployment, feature engineering ETL’s, designing feature stores & etc
  • Proficient in analysing multiple models and recommending the refinements
  • Comfortable with calculation and balancing of resource utilization cost during training and inference
  • Comfortable with versioning of ML artifacts including data, model and code
  • Comfortable with setting up and recommending best practices involved during the journey
  • Comfortable with developing and exposing API endpoints
  • Experience in translating ML-based outcomes to business-digestible insights
  • Excellent communication skills and experience in managing stakeholders at various levels

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