Job Description & How to Apply Below
Location
- Remote
Budget
-2.5L
Experience 8+yrs
Position: AIML Developer
Experience : 4+ yrs
Location :
Remote
Budget: 2
LPM
Roles and Responsibilities:
● Develop Code using python for machine learning
● Discuss with Engineers, Product Managers to formulate hypotheses, solutions and desired outcomes.
● Act as Subject Matter Expert on ML, Data and AI statistical models and how they apply to business problems.
● You will help to implement models in Machine Learning, Optimization, Neural Networks, Artificial Intelligence (Natural Language Processing), and other quantitative approaches.
● Familiarity with Data Engineering techniques to gather, prepare, cleanse and transform data for analysis and AI automation, including data pipelines.
● Familiarity with getting data from social media - twitter, instagram, reddit, facebook, etc.
● Create prototypes, minimally viable products
● Deliver meaningful insights and predictions
● Demonstrate business value
● Mentor and coach others in the team.
Must Have
Skills:
● 5+ years of hands-on working experience as Data Scientist with deep understanding of Machine Learning and AI algorithms
- Linear Regression, Logic Regression, Decision Trees, K-Nearest Neighbors, Neural Networks, Random Forests, NLP/NLU, etc.
● 5+ years of experience with different frameworks such as Tensor flow, PyTorch, Keros, Spark
ML.
● 4+ years of hands-on coding experience with languages such as Python, R, Scala, Go, etc.
● Good experience with source control systems such as git.
Good to Have:
● Experience in prompt engineering, RAG system setup, microservices with container technologies like Docker/Kubernetes
● Working experience with using LLM and prompt engineering to solve problem,
● Handle on deploying and running services in Kubernetes
● Experience with the AWS services (Examples: Sage Maker, Comprehend, Lex, Rekognition, Transcribe, EKS, Lambda, S3, etc)
● Experience with troubleshooting production systems.
● Good understanding and use of CICD systems such as Jenkins, Gitlab, etc.
Qualification:
● Bachelor’s degree in Computer Science Engineering, or a related technical degree.
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