Factspan’s Post

We are #Hiring for ML Engineer role. Experience: 5 to 12 Yrs. Location: Remote Notice Period: Immediate to 10 days. Send your CVS to svaraganti@randomtrees.com Job Description: Programming Language: Python, PySpark, SQL Tech Stack: GCP Vertex, Storage, BigQuery, Composer, Airflow, Git #MLEngineer #Jobs #AIML #MachineLearning #AI #ML #UrgentHiring #UrgentOpenings #ExperiencedJobs #Python #Pyspark #DataScientist #BigData #Airflow #DataEngineer #GCP #ImmediateOpenings

Hiring for Data scientists @ bangalore Exp: 5-8 Yrs Rel exp : 4+ Yrs Python, AWS, GCP, Azure, Jupyter,SQL, Docker, Kubernetes Should be a minimum of 4-5 hours every day. Can also include research work We need at least 3-4+years of experience in core data science. If you see analyst/system engineer/..etc ask if that was completely on data science or mix. What was the split? The majority should be in data science Content & Growth - Building audience base, increasing engagement. Data Science work on article/video recommendations, Search optimization, content classification Direct revenue - Improving revenue from digital ads. Ad targeting, Forecasting, Anomaly detection, Dynamic pricing models Transactional Revenue - Improving affiliate revenue. Link and conversion optimization models A lot of focus on NLP and LLM - Large Language Models. Working on use cases based on LLM embeddings #datascientistjobs #datascientist

Data Scientist opportunity in Bangalore

Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring

When comparing the job ecosystem for AI Engineers at foreign companies (outside Indonesia) or even multinational companies within Indonesia, a significant difference becomes evident. These companies place a strong emphasis on the specialized role of AI Engineers, with a focus on skill sets that are directly related to artificial intelligence. Candidates are often evaluated on their knowledge of Machine Learning (ML) and Deep Learning (DL), their ability to perform Exploratory Data Analysis (EDA), and their experience in model training and research. This contrasts sharply with some local startup environments, where the AI Engineer role can sometimes encompass a much broader range of responsibilities, including Database System Management, Frontend Development, System Integration, and even deploying applications using Docker. The specialized focus in multinational and foreign companies allows AI Engineers to concentrate more deeply on developing and refining AI models, ensuring they stay at the forefront of technological advancements in the field.

Most recruiting processes today:

Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring

Hey friends! Have gotten an outpouring of interest for those AI focused engineering roles... feel free to apply directly with the link in comments! The team is still actively interviewing for: ✅ Full Stack Engineers (#java and #python on backend, #react on front end) ✅ Data Scientist (experience with LLMS, MLOPs and RAG) ✅ Enterprise Architect (several years of architecting/ leadership experience) ✅ Machine Learning #Engineer ✅ Staff Engineer in Test Cheers to #hiring and your #jobsearch 😄 #ai

Machine Learning Engineer

Finally! Posting for LinkedIn hiring on LinkedIn, sounds funny right?😂 Jokes apart. Hello Folks, LinkedIn is hiring Engineers from AI, Data Science & System Infrastructure. Anyone who's looking for these roles, check this out 👇 #hiring #linkedin #hiringnow #ai #datascience #jobopportunties #engineers