We are looking at augmenting our team with an ML Engineer. We are a retail house and need an ML Engineer to train for our upcoming e commerce venture. 

Visualization expert:

·        Resources having 3-5 years of experience creating user interfaces using Power BI and R-Shiny

·        Have basic Analytics concepts like Predictive modelling, Optimization and Simulation

·        Knowledge of Python would be desirable

·        Knowledge of Trade Promotion Optimization would be plus

·        Excellent written and verbal communication.

·        Good organizational skills.

·        Ability to work as part of a team.

Experience:

• 3 to 5 years

Job location:

• Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

• 3months. May get extended.

Joining:

• immediate

We need help with our inventory planning. More details to be shared. Interested partie please contact

Position: NiFi /Big Data Developer 

Must Have Technical Skills: NiFi

Good to have Technical Skills: Python, ETL

Preferred Industry Experience: Telecom

·         Extensive experience on Nifi to setup data pipeline.

·         Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi

·         Extensive experience in Python

·         Food understanding on Spark, Spark Streaming & PySpark.

·         Good understanding of Big Data components

Nos of Resources required: 2 to 3

Work location: Remote

Qualification: BTech

Experience: 4 yrs – 5 yrs

Mobilization Period in weeks: 1 week

Duration: 3 to 6 months  

We have two plant which we manufacture over 500 items. At both two plants operations run in 2 shifts. Both plant have capability to manufacture all 500 items, but the costs to manufacture is differnt at both plant.

Our senior mangement want to have dshboard that give visibiity:

1. What is made at which plant

2. Costs to manufacture item wise

3. Best production plan that will ensure products are made at the cheapest price

4. Ability to change the plan and see 

Experts whi can help, please get in touch. 

Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.