Perleybrook Labs Inc is hiring for an FRESHER entry level Machine Learning Engineer role in India

Position:

• Machine Learning Engineer
• Focus area includes computer vision based systems
• Entry level oriented role designed for early career professionals
• Strong emphasis on applied machine learning in industrial environments
• Role involves end to end ownership from data handling to deployment
• Suitable for candidates seeking hands on exposure rather than theory driven work

Company:

• Perleybrook Labs Inc
• AI focused product company working in industrial safety and automation
• Operates across global industrial environments
• Builds vision driven intelligence systems for real production usage
• Known for deploying solutions directly at customer locations
• Startup culture with high learning responsibility

Location:

• Kochi
• Kerala
• India
• Work location is within the company office and field aligned teams
• Close interaction with on ground industrial environments

Job type:

• Full time employment
• Long term opportunity with growth based progression
• Designed for candidates looking to invest early career years

Job mode:

• Onsite
• Daily collaboration with engineering and operations teams
• Direct exposure to deployment environments

Job requisition id:

• PBL ML CV ENG KOCHI

Years of experience:

• Zero to three years
• Fresh graduates with strong hands on projects considered
• Equivalent practical experience accepted

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Company description

• Perleybrook Labs Inc is an AI driven technology company working at the intersection of safety automation and industrial intelligence
• The organization focuses on creating systems that help industries operate with better control precision and workforce protection
• Their core strength lies in video analytics and vision based decision systems used inside manufacturing and industrial setups
• The company develops both hardware and software products that function together as a unified solution
• One of their flagship offerings integrates intelligent cameras IoT devices and cloud based analytics
• These systems are designed to detect unsafe behaviors operational risks and productivity gaps in real time
• Perleybrook Labs works with global customers across manufacturing logistics and heavy industry domains
• The company does not build demonstration tools or academic prototypes
• Every system is built for live deployment and continuous improvement in production settings
• Their mission aligns with the evolution toward next generation industrial operations where human safety and intelligent automation coexist
• The team consists of engineers product builders and domain experts who work closely with real customers
• Learning by doing forms the core culture of the organization
• Engineers are encouraged to take ownership experiment responsibly and iterate quickly
• The company provides exposure to international use cases and operational challenges
• With offices in India and global headquarters in the United States the company operates with a distributed yet tightly connected model

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Profile overview:

• This role is designed for individuals who want to build real machine learning systems rather than only studying algorithms
• The Machine Learning Engineer will work primarily on computer vision problems in industrial environments
• The role involves handling noisy real world data rather than curated academic datasets
• You will be involved in collecting organizing and refining image and video data
• The position requires collaboration with annotation teams and field engineers
• You will train and refine object detection models used for safety and automation use cases
• The work focuses on applied engineering rather than research publications
• You will learn how models behave when exposed to real lighting motion and occlusion conditions
• The role provides exposure across the full lifecycle from data ingestion to deployment
• Engineers will understand how model performance affects real operational outcomes
• You will participate in debugging model failures and edge cases
• The role emphasizes iteration experimentation and practical learning
• Close interaction with founders allows faster feedback and mentorship
• You will gain insight into how early stage AI products are built and scaled
• The role supports growth into advanced engineering or system design positions
• Candidates who value learning ownership and impact will benefit most

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Qualifications:

• Basic understanding of machine learning concepts and workflows
• Exposure to computer vision through coursework projects or internships
• Hands on experience with Python programming
• Familiarity with PyTorch for model training and experimentation
• Awareness of object detection concepts and pipelines
• Understanding of training fundamentals such as learning rate batch size and augmentation
• Experience handling datasets including cleaning labeling and validation
• Ability to analyze model outputs and identify failure patterns
• Comfort working with image based data
• Willingness to experiment iterate and learn from results
• Clear communication skills for working with cross functional teams
• Interest in deploying models rather than stopping at training stage
• Curiosity to understand how models behave in real environments
• Ability to take feedback and improve quickly
• Strong motivation to grow technical depth during early career phase

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Additional info:

• This role prioritizes learning exposure and responsibility over short term compensation
• Engineers will work on systems already deployed in live industrial environments
• The company offers mentorship from experienced builders rather than rigid hierarchies
• Growth opportunities expand as product adoption increases
• Exposure includes understanding customer requirements and operational constraints
• You will learn about performance optimization latency considerations and deployment challenges
• The role supports long term career value rather than immediate title driven growth
• Engineers gain experience that translates well across applied AI roles
• The environment suits individuals comfortable with ambiguity and fast iteration
• Strong performers may progress into senior engineering or architecture roles
• The company values practical problem solving over academic credentials
• Early career is treated as an investment phase for long term skill building

Please click here to apply.