Build a Micro Off-Shore Development Team with us
Trusted by leading brands around the globe for their mission-critical projects requirements
Reduced time to hire
Having access to an already vetted database of talent means you can find the perfect fit quickly.
Hire for specific projects or tasks
Bring on new talent as needed to get the optimal balance between capacity, capabilities, and flexibility
Reduced employee management
We can take care of much of the bureaucratic work involved with: contract, background checks, payments, time tracking, and training in company culture.
Less risk involved in hiring
Do you require support to quickly get a project completed? Or maybe your requirements may change over time. With Inference you can effectively and affordably retain a new hire.
Flexible Delivery Model.
Offshore Teams are committed to work as your dedicated team, working from our location. Get 100% control over your resources & priorities, having someone looking after for you.
Get the perfect fit for your culture
We provide candidates who understand your unique company culture and values. Who can understand their responsibilities and can quickly integrate into your team.
Selection Process
You're just a step away from best talent!
Requirement Gathering
We gather the requirements about the project like Tech stack, team size etc.
Shortlisting of Candidates
Based on the requirements, the candidates are shortlisted
Written Test
The shorted candidates then go through a written test for evaluation.
Assignments and Evaluations
You can also ask the candidates to submit time-goal-specific assignments.
Interview
Based on the evaluation, further shortlisted candidates are Interviewed.
Start your project
Start cost-effectively with off-shore talent with expertise in analytics categories.
Build a Team!
Choose from our wide gamut of talent
Data Engineer
Building, testing and maintaining the data architecture & laying the foundation, enabling data scientists and data analysts to create new insights from data. Some essential skills this role include SQL database, ETL tools, coding, big data tools, and sometimes Statistics and Maths.
Data Analyst
Retrieving relevant data from various sources and preparing it for further analysis through statistics, a data analyst needs to perform testing and validation of data sets to make complete reports and supports them with visuals.
Decision Scientist
Heavily lean on predictive analytics, machine learning, data conditioning, mathematical modeling, and statistical analysis. Ability to explore business domain, interacts with business leaders, managers and communicate the findings.
Natural Language Processing
Computer Vision
Machine Learning
Visualisations
Python
SQL
Data Engineering
No SQL
MS Excel
Let's build something together
Let's Collaborate!
