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Software Developer
Bhoruka Extrusions Looking for IT Trainee/Assistant Engineer in AI/ML at Mysore, Karnataka Full Time
1. Candidate:
Skills: Problem Solving, Good Communication, Critical and creative Thinking.
Personality: Dynamism, Synergetic, Responsibility, Sense of Humour, Resourcefulness.
Attitude: Go-getter, proactive, diligent and meticulous, hardworking, ready to go the extra mile.
2. Selection Procedure:We are very selective recruiters and hence our selection process is rigorous and has stringent quality standards.
Step 1: Apply through our career portal for either open opportunity or send us your resume
Step 2: Resume shortlisting and preliminary screening
Step 3: Written Test
Step 4: Technical Interview with panel.
Step 5: HR Round.
Step 6: Medical Test, Document Verification, Final Offer.
Step 7: Onboarding.
IT Trainee/Assistant Engineer in AI/ML
Skills: Problem Solving, Good Communication, Critical and creative Thinking.
Personality: Dynamism, Synergetic, Responsibility, Sense of Humour, Resourcefulness.
Attitude: Go-getter, proactive, diligent and meticulous, hardworking, ready to go the extra mile.
2. Selection Procedure:We are very selective recruiters and hence our selection process is rigorous and has stringent quality standards.
Step 1: Apply through our career portal for either open opportunity or send us your resume
Step 2: Resume shortlisting and preliminary screening
Step 3: Written Test
Step 4: Technical Interview with panel.
Step 5: HR Round.
Step 6: Medical Test, Document Verification, Final Offer.
Step 7: Onboarding.
IT Trainee/Assistant Engineer in AI/ML
Experience: Fresher
Qualification: Bachelor of Science in Machine Learning & AI
Job Description:
Purpose: To offer more value to our customers than our competitors through the use of technology
Work on Bhoruka E-planner module, developed to predict delivery dates
Work on Bhoruka 360 modele, developed to provide real-time information
To research, modify, and apply data science and data analytics prototypes.
To create and construct methods and plans for machine learning.
Employing test findings to do statistical analysis and improve models.
To search internet for training datasets that are readily available.
ML systems and models should be trained and retrained as necessary.
To create machine learning applications in accordance with our environment.
To investigate, test, and put into practice appropriate ML tools and algorithms.
To evaluate the application cases and problem-solving potential of ML algorithms and rank them according to success likelihood.
To better comprehend data through exploration and visualization, as well as to spot discrepancies in data distribution that might affect a model’s effectiveness when used in practical situations.
Location: Mysore
For inquiries and HR support, please connect at [email protected].
