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AI/ML Engineer @ 66degrees

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 AI/ML Engineer

Job Description

Role Overview
As the ideal AI/ML Engineer, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis.
Responsibilities
  • Dive deep into a wide range of data (tabular, text, image, etc.) to identify pain-points and deliver data-driven insights to our clients.
  • Utilize AI/ML and analytical techniques to determine areas of opportunities to help meet business goals.
  • Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client s business problem.
  • Drive successful delivery of AI/ML projects and also contribute to key practice initiatives, whenever needed.
  • Create reports and presentations that showcase the value of your solution to our clients.
Qualifications
  • 3-6+ years of experience with data science and AI/ML.
  • Python (TensorFlow, Keras, SciKit-Learn, PyTorch), SQL, Shell Scripting experience.
  • Data Engineering experience in Data Cleansing, ETL/ELT Pipelines, Vector DBs, Relational DBs, NoSQL DBs, Warehouses
  • Generative AI experience in LLMs, Prompt Engineering, Tuning, RAG, LangChain
  • Statistics Modeling experience with Time-Series, Clustering, Regression, Classification, Recommendation Systems, Deep Learning, Ensemble Modeling, Reinforcement Learning, EDA, Data Visualization, Feature Engineering, Model Evaluation, Responsible AI
  • MLOps experience with GIT, building CI/CD Pipelines, API Development, Docker, Deployment, Retraining Pipelines, Monitoring, Model Versioning.
  • Google Cloud Experience in the following tools: Vertex AI, Document AI, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage.
  • Kubernetes, Looker, Graph Data Science experience is a plus.
  • Ability to communicate complex, technical processes to non-technical business stakeholders.
  • Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets.
  • Bachelor s degree in Data Science, Computer Science or similar.

Job Classification

Industry: Software Product
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: 66degrees
Location(s): Bengaluru

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Keyskills:   data cleansing GIT NoSQL Analytical Shell scripting Consulting Monitoring SQL Python

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66degrees

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform...