JD:
● Productionize ML/AI models around semantic understanding and personalization
which power our Search and Recommendation applications.
● Building fast and scalable data pipelines aggregating various data sources.
● Participate in lean and agile development processes in a test and
monitoring-driven environment, while collaborating with Data Scientists and
Product Managers.
● Crunch historical data, search queries, product catalog, and images to extract
hidden relations and features.
● Conduct research to explore cutting edge ML / MLOps stack and ability to
execute a quick POC.
● Lead the effort to integrate and scale the ML components to a production-level
that can handle terabytes of data.
Qualifications:
● BS/MS degree in Computer Science or a related discipline with a strong
understanding of algorithms and data structures (Preferably from Tier 1 or 2
college)
● 3+ years experience building ML-driven fast and scalable ML/analytical
algorithms in a corporate/startup environment using Python, Spark/MLlib and
Hadoop.
● Experience working with distributed systems in a cloud-based production
environment (AWS).
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure
to data streaming stack (e.g. Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning)
models to bring down serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills with ability to slice and dice data at
scale using SQL in Redshift/BigQuery.
● Decent understanding of various machine learning and natural language
processing technologies, such as classification, information retrieval, clustering,
knowledge graph, semi-supervised learning and ranking.
● Excellent problem solving, analytical and communication skills.
● Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques
(Representation/Transfer Learning, RNN/LSTM, Transformers).
#ML #machinelearning #deeplearning #nlp #dataengineer
If Interested, kindly forward your updated CV to hr4@tasolutions.in or may call on 9041287949 . We will really appreciate, if you share this position with your colleagues or Friends.
No. of days working – 5 days
Shift Timings: 4:30 am – 1:00 pm (Oct-Mar) & 5:30 AM 2:00 PM (Apr-Sep)
Benefits – Cab Facility & Breakfast( Free of Cost)
Job Description
Selling Business products including mobiles, broadband, wireless, fixed & cloud products to new & existing customers.
Supporting customer retention & new business strategies.
Contacting new customers – Identify & quality opportunities.
Maximizing cross-sell, up-sell & solution selling opportunities.
Required Experience, Skills, and Qualifications
Any graduate/postgraduate.
Be self-motivated with an ability to work autonomously in a team environment.
Excellent communication & organizational skills.
Should be willing to work morning shifts.
Job Description :
Promoting the filling line introducing new products to the market. Shrink packaging machine, end to end packaging solution.
Searching data, visiting customer, calling
Giving information to customer about VFFS, Shrink packaging machines
Sending quotations, negotiation and close the customer.
Special experience in Packaging machine industry Ex . Shrink wrap fully automatic machine, VFFS, PFS, HFFS, Liquid filling line, flow wrappers. Should have experience selling these machines.
#technicalsales #salesengineerjob #salesjobinpune #punesalejob #punesalesengineer #job #jobs
If Interested,kindly forward your updated CV on hr4@tasolutions.in or may call on 9023404909. We will really appreciate it if you share this position with your colleagues or Friends.
