Lytx Hiring Freshers 2026 | Machine Learning Scientist I Jobs Apply Now

Lytx Hiring Freshers | Machine Learning Scientist I

Introduction

Looking for high paying AI jobs, machine learning careers, and enterprise tech roles? Lytx is hiring freshers for the Machine Learning Scientist I role. This is an excellent opportunity for candidates searching for deep learning jobs, computer vision careers, GenAI opportunities, LLM engineering roles, AI automation positions, and cloud machine learning jobs.

Lytx is a leading video safety and telematics technology company known for advanced AI systems, machine learning platforms, computer vision technologies, cloud-native analytics, and enterprise safety solutions. Fresh graduates passionate about artificial intelligence, deep learning, computer vision, Python programming, large language models, and cloud-based machine learning systems can apply for this latest recruitment opportunity.

Candidates joining Lytx will gain practical exposure to machine learning engineering, computer vision systems, AI-powered automation, deep learning frameworks, GenAI tools, cloud ML deployments, prompt engineering workflows, and enterprise-scale AI technologies. This opportunity is ideal for candidates looking to build long-term careers in AI engineering, data science, cloud ML systems, deep learning research, and enterprise artificial intelligence solutions.

Lytx Hiring Freshers – Machine Learning Scientist I

About Lytx

Lytx is a global leader in video safety, telematics, artificial intelligence, and computer vision technologies. The company develops advanced AI-powered systems that monitor drivers, assess environmental risks, and improve road safety through machine learning and computer vision solutions.

Lytx focuses on enterprise AI systems, deep learning technologies, cloud-native machine learning platforms, GenAI automation, and scalable analytics infrastructures. Employees gain opportunities to work on cutting-edge AI systems, enterprise-scale data platforms, and modern computer vision applications.

Job Description

Lytx is hiring passionate and innovative fresh graduates for the Machine Learning Scientist I role to support AI model development, computer vision systems, cloud ML deployments, and enterprise automation technologies. Selected candidates will contribute to developing machine learning and deep learning algorithms that improve driver safety and enterprise analytics systems.

The role focuses on machine learning engineering, deep learning frameworks, computer vision systems, GenAI technologies, prompt engineering, LLM-powered applications, cloud ML deployments, and scalable AI workflows. Candidates will gain practical exposure to enterprise AI systems and production-grade machine learning technologies.

Freshers joining Lytx will receive hands-on experience in model training, AI deployments, cloud-native ML systems, computer vision engineering, prompt workflows, RAG pipelines, AI automation systems, and enterprise-scale data science operations. This opportunity is ideal for candidates interested in AI engineering careers, machine learning systems, cloud-based analytics, and deep learning research.

Roles & Responsibilities

• Develop machine learning and deep learning models end-to-end.
• Work on problem formulation, data engineering, prototyping, training, and evaluation.
• Implement and improve DL models using PyTorch or TensorFlow.
• Optimize and deploy models on cloud and edge systems.
• Continuously improve AI models using large-scale field data.
• Leverage GenAI tools and LLM APIs to build AI-powered applications.
• Build prompt engineering workflows and RAG pipelines.
• Develop AI agents for task and workflow automation.
• Communicate technical findings and trade-offs to internal teams.
• Collaborate with AI engineering and data science teams.

Eligibility Criteria

• Candidates should possess a Bachelor’s or Master’s Degree in CS, EE, ECE, or related fields.
• Freshers and candidates with 0–2 years of experience are eligible.
• Hands-on experience with ML or DL projects is preferred.
• Knowledge of machine learning concepts is required.
• Strong analytical and mathematical abilities are important.
• Interest in AI, deep learning, and GenAI technologies is preferred.
• Good communication and teamwork abilities are necessary.
• Ability to work in fast-paced collaborative environments is beneficial.

Required Skills

• Hands-on experience with PyTorch or TensorFlow.
• Strong proficiency in Python programming.
• Familiarity with C/C++ programming.
• Understanding of machine learning and deep learning concepts.
• Knowledge of supervised and unsupervised learning techniques.
• Strong foundations in mathematics, statistics, and algorithms.
• Problem-solving and analytical thinking abilities.
• Professional communication and teamwork skills.
• Understanding of model evaluation and regularization techniques.
• Interest in enterprise AI and cloud-based ML systems.

Preferred Skills

• Experience with GenAI tools and LLM APIs such as Claude, OpenAI, or Gemini.
• Familiarity with AI coding tools like GitHub Copilot or Claude Code.
• Knowledge of prompt engineering and RAG pipelines.
• Experience with ONNX, TensorRT, Docker, or cloud ML platforms.
• Understanding of AI automation and workflow systems.
• Interest in enterprise AI infrastructure and cloud deployments.

Benefits

• Hands-on exposure to enterprise AI and machine learning systems.
• Opportunity to work on computer vision and deep learning technologies.
• Professional mentorship from experienced AI scientists and engineers.
• Exposure to cloud-native machine learning systems.
• Career growth opportunities in AI engineering and data science.
• Learning opportunities in GenAI and LLM technologies.
• Collaborative and innovation-driven workplace culture.
• Practical experience with enterprise-scale AI applications.

Work Culture & Learning Environment

• Innovation-focused AI engineering environment.
• Collaborative and fast-paced technology culture.
• Exposure to enterprise AI and computer vision systems.
• Continuous learning opportunities in GenAI and cloud ML technologies.
• Supportive and growth-oriented workplace atmosphere.
• Professional development opportunities for fresh graduates.

Salary Insights

The average salary for Machine Learning Engineers, AI Scientists, Computer Vision Engineers, Data Scientists, and Deep Learning professionals in 2026 remains highly competitive across the artificial intelligence and cloud technology industry. Freshers entering AI engineering, cloud ML systems, GenAI development, and enterprise analytics careers can expect strong salary growth opportunities based on technical expertise and machine learning skills.

Entry-level salaries for Machine Learning Engineers, AI Researchers, Data Scientists, Computer Vision Developers, and enterprise AI professionals generally range from industry-standard fresher compensation to premium salary packages in high-demand AI and cloud computing sectors. Candidates with strong Python expertise, deep learning knowledge, GenAI experience, and cloud ML understanding may achieve faster career growth and higher earning potential.

Company Reviews

Lytx is widely recognized for its innovation-driven AI systems, enterprise computer vision technologies, and strong opportunities in machine learning engineering and deep learning research domains. Employees often appreciate the collaborative work environment, exposure to enterprise AI systems, cloud-native technologies, and opportunities to work on advanced safety and automation solutions.

Freshers joining Lytx can gain valuable experience in deep learning systems, AI deployments, GenAI technologies, computer vision engineering, prompt engineering workflows, and cloud ML operations while working with experienced AI professionals. Lytx is considered one of the best organizations for freshers looking to build careers in AI engineering and machine learning technologies.

Why Apply for Lytx Machine Learning Scientist Jobs?

Lytx provides excellent opportunities for fresh graduates to begin careers in artificial intelligence, machine learning engineering, computer vision systems, and cloud-native AI technologies. Candidates joining Lytx gain practical exposure to enterprise AI systems, deep learning frameworks, GenAI workflows, prompt engineering, and cloud ML deployments.

This role is ideal for candidates searching for machine learning jobs, AI engineering careers, GenAI opportunities, cloud ML roles, deep learning positions, enterprise tech careers, computer vision jobs, and remote software jobs. Freshers can strengthen AI expertise, Python programming skills, machine learning knowledge, and enterprise AI engineering practices while working on advanced technology platforms.

Selection Process

• Online Application Submission
• Resume Screening
• Machine Learning Assessment
• Technical Interview
• HR Interview
• Final Selection

Important Information

• Freshers and candidates with 0–2 years of experience are eligible.
• Strong Python and machine learning knowledge improve selection chances.
• Hands-on AI or ML project experience is preferred.
• Candidates should prepare updated resumes before applying.
• Only eligible candidates should apply.
• Strong analytical and communication skills are important.

Frequently Asked Questions (FAQs)

1. What is the role offered by Lytx for freshers?

Lytx is hiring candidates for the Machine Learning Scientist I role where candidates will work on AI systems, deep learning models, computer vision technologies, and enterprise ML workflows.

2. What qualifications are required for Lytx Machine Learning Scientist jobs?

Candidates should possess a Bachelor’s or Master’s Degree in CS, EE, ECE, or related disciplines.

3. What technical skills are preferred for this role?

Candidates should have knowledge of Python, PyTorch, TensorFlow, machine learning concepts, deep learning frameworks, mathematics, statistics, and AI engineering systems.

4. Can freshers apply for Lytx AI and machine learning jobs?

Yes, freshers and candidates with 0–2 years of experience including internships and academic projects are eligible to apply.

5. What technologies will candidates work on at Lytx?

Candidates may work on PyTorch, TensorFlow, cloud ML systems, GenAI tools, LLM APIs, prompt engineering workflows, RAG pipelines, computer vision systems, and AI automation technologies.

6. Is Lytx a good company for AI and machine learning careers?

Yes, Lytx offers excellent learning opportunities, enterprise AI exposure, computer vision technologies, cloud ML systems, and strong career growth opportunities for AI engineering professionals.

Conclusion

Lytx Machine Learning Scientist I jobs for freshers provide an outstanding opportunity to begin a successful career in artificial intelligence, machine learning engineering, computer vision technologies, and cloud-native AI systems. Candidates interested in AI engineering, deep learning, GenAI technologies, and enterprise machine learning careers should apply as soon as possible.

This opportunity offers practical industry exposure, hands-on experience with enterprise AI platforms, mentorship from experienced AI professionals, and opportunities to work on cutting-edge machine learning systems. Prepare your resume, strengthen your Python and AI skills, and start your machine learning career journey with Lytx.