Posted:4 weeks ago|
Platform:
On-site
Full Time
Work experience - For Juniors- 0-2 years, For Associates- 2-4 years
Qualification - Master’s/Bachelor’s in Computer science/Data science/Mathematics/Statistics
or related disciplines.
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem solving skills are essential for interpreting data. We also want
to see a passion for machine learning and research.
● Prior experience in working with Flask based APIs for backend development
● Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software
architecture
● Outstanding communication and organizational skills
● Strong project management skills
● High proficiency in using Python/Spark, Hadoop platforms,Tableau, SQL, NoSQL, SAS or R
● Experience in using services like Azure, Databricks, AWS, Snowflake
● Proficient with Numpy, Pandas, Matplotlib, Scipy, Web Scraping, Data Structures, Sklearn, NLP, Deep
Learning
● Strong mathematical and statistical skills
● Experience deploying scalable ML solutions on AWS or Azure.
● Knowledge of Pytorch/Tensorflow,Kubernetes, Docker.
● Experience with the LLM stack (Langchain, Langsmith, Uptrain, Llamaindex,
haystack) and vector databases (FAISS,Pinecone, opensearch)
● NLP and Image analysis solutions into production.
● Selecting features, building and optimizing classifiers using machine learning techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third party sources of information when needed
● Enhancing data collection procedures to include information that is relevant for building analytic
systems
● Procession, cleansing, and verifying the integrity of data used for analysis
● Work on time bound projects
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