Jr. AI/ML Developer

4 weeks ago

ahmedabad, India HubBroker ApS Full time
Job Description

About Us-
Hubbroker ApS is a Cloud Service Broker, which offers data integration solution for B2B and B2G.

 

Hub Broker ApS was started in 2012 by Jens Toke Lausen, and currently has offices in Denmark and India. Jens Toke has more than 20 years of experience in EDI and data integration.

 

Our core business is of cloud integration. We offer our customers a cloud platform (iPaas) for the transmission and integration of data between businesses. We always give data integration solutions with neither investment nor hardware and software installation. We always follow strict criteria of transparency, efficiency and professionalism.

 

Customers prefer our data integration tools as we are surpassing borders, technical complexities, and legislative nuances. We achieve this through robustness of our human power and resources. Moreover, it provides us capacity to attend thousands and thousands of clients each day.

 

Our partners’ B2B communication platforms are managed successfully due to our high technical resources. We give assurance of a complete digital electronic exchange of all transactions between our clients, suppliers, vendors and logistic providers, etc.


 

Job Description -

Abstract  ––  We are looking for and highly motivated ‘Jr. AI Developer ‘to join our dynamic team. As an AI Developer, you will play a crucial role in designing, developing, and implementing cutting-edge artificial intelligence solutions. You will collaborate with cross-functional teams to create innovative AI-driven applications, contributing to the advancement of our organization's technological capabilities.

Skills  – Communication skill, Programming skills, Algorithms and frameworks,Research and Innovation,Python, Java, Scala,Data Management Skills,AI infrastructure.Analytical skills.


Requirements Require ments               

· 1-2 years of L experience in AI development.

· Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development.

· Understanding of data structures, data modeling and software architecture

· Deep knowledge of math, probability, statistics and algorithms

· Ability to write robust code in Python, Java and R

· Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like sci kit-learn)

· Excellent communication skills

· Ability to work in a team 

·  Proficiency in programming languages commonly used in AI, such as Python, R, Java, and experience with ML frameworks like TensorFlow or PyTorch.

·  Familiarity with data pre processing, feature engineering, and model evaluation techniques essential for machine learning projects.


Benefits Benefits-

l5-day working company.

lProject-based rewards.

lQuarterly rewards based on road-map achievements and customers’ success.

l20 Yearly leaves.

l14 National Holidays Off.

lCross-team work culture.

lCareer Development & Training Programs.

lEmployee Referral Benefits.

lBirthday/Anniversary/Festival Celebrations.

lCompensatory Off Benefits.

lPaid half-day leaves on special occasions of Birthdays & anniversaries.

lMeals while working extra.

lYearly day-outing activities.

lYearly Achievement Awards.

 


Requirements
1-2 years of L experience in AI development. Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development. Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like sci kit-learn) Excellent communication skills Ability to work in a team Proficiency in programming languages commonly used in AI, such as Python, R, Java, and experience with ML frameworks like TensorFlow or PyTorch. Familiarity with data pre processing, feature engineering, and model evaluation techniques essential for machine learning projects.

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