AI Research Scientist –

Description:

As an AI Research Scientist at NetoAI, you’ll be at the forefront of turning advanced research into real-world impact. Whether it’s building state-of-the-art models, exploring novel architectures, or rethinking how AI is applied across industries, your work will shape the core of what we build. From foundational LLMs and graph intelligence to generative models and reasoning systems, you’ll experiment, publish, prototype, and productionize AI that is scalable, efficient, and grounded in real problems. You’ll collaborate across product, engineering, and design to deliver innovations that go beyond papers—into platforms and products that matter.

Requirement:

PhD or Master’s degree in Computer Science, Machine Learning, or a related field with 3–6 years of research or applied experience. Strong foundation in deep learning, natural language processing, or generative models. You have a proven ability to move between theory and practice—driving research forward while solving practical challenges. Experience with large-scale datasets, LLMs, graph-based learning, or multi-modal AI is a plus. Curiosity, clarity in thought, and a bias for action are essential.

Machine Learning Engineer

Description:

As a Machine Learning Engineer at NetoAI, you’ll build and deploy robust ML systems that power our AI-native products. You’ll work on everything from data pipelines and feature engineering to model integration, performance tuning, and scalable deployment. Your focus will be on translating models into real-world, production-ready capabilities—working closely with product teams to ensure they’re fast, reliable, and impactful. Whether optimizing inference on edge systems or integrating LLMs into cloud workflows, you’ll be a key part of delivering ML solutions that work at scale and speed.

Requirement:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 3–5 years of experience building and deploying machine learning systems. Strong programming skills in Python, and hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Solid understanding of software engineering best practices, including CI/CD, testing, and version control. Familiarity with MLOps tools (e.g., Docker, Kubernetes, MLflow) and experience deploying models into production environments (cloud or on-prem) is essential.

Software Developer

Description:

As a Software Developer at NetoAI, you’ll design, build, and maintain scalable, high-performance systems that power our AI-native platforms. You’ll work across the stack—from backend services and APIs to frontend interfaces—translating product requirements into robust, production-grade software. Your work will directly contribute to the delivery, usability, and reliability of AI-driven applications used across industries.

Requirement:

Bachelor’s degree in Computer Science, Engineering, or a related field, with 2–5 years of experience in software development. Proficient in one or more programming languages (e.g., Python, Java), and experienced with modern frameworks like React, Node.js, or Django. Strong foundation in data structures, algorithms, and software design principles. Familiarity with RESTful APIs, databases (SQL/NoSQL), CI/CD workflows, and cloud infrastructure (AWS, GCP, or Azure) is a plus.

Business Development Lead

Description:

As a Business Development Lead at NetoAI, you’ll own and drive the growth strategy across priority markets and enterprise accounts. You’ll identify new opportunities, build strategic relationships, and collaborate with cross-functional teams to shape solutions that meet client needs. From early-stage outreach to deal closure, you’ll lead the full BD lifecycle—positioning NetoAI’s AI-native products as game-changers across industries. You’ll play a key role in expanding market presence, accelerating pipeline velocity, and unlocking new revenue streams through insight-driven, consultative selling.

Requirement:

Bachelor’s degree in Business, Engineering, or related field with 5+ years of experience in business development, enterprise sales, or strategic partnerships. Proven track record of winning and growing complex accounts, preferably in SaaS, AI, or enterprise tech. Strong understanding of solution selling, market dynamics, and stakeholder management. Excellent communication, negotiation, and relationship-building skills. Experience working in high-growth, fast-paced environments is a strong plus.