AI/ML Engineer Job Summary

We are seeking a highly motivated AI/ML Engineer to join our growing Artificial Intelligence and Automation team. The ideal candidate will have a strong foundation in Machine Learning, Generative AI, Python development, and data-driven problem solving. This role provides an excellent opportunity to work on cutting-edge AI initiatives, including Large Language Models (LLMs), Agentic AI systems, Retrieval-Augmented Generation (RAG), MLOps, Intelligent Automation, and AI-powered enterprise solutions.

The candidate will collaborate with cross-functional teams to design, develop, deploy, and optimize AI solutions that drive business value across multiple domains.

Key Responsibilities

Develop and implement Machine Learning and Generative AI solutions to solve business challenges.
Build, test, and optimize AI models using Python and modern AI/ML frameworks.
Design and develop Retrieval-Augmented Generation (RAG) applications using enterprise knowledge sources.
Assist in developing AI Agents and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.
Perform data preparation, feature engineering, model training, evaluation, and performance monitoring.
Support deployment and operationalization of AI models using MLOps best practices.
Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
Collaborate with business stakeholders, developers, and data teams to gather requirements and deliver AI-driven solutions.
Conduct research on emerging AI technologies, tools, and frameworks and recommend innovative solutions.
Create technical documentation, test cases, and deployment artifacts for developed solutions.
Participate in code reviews, knowledge-sharing sessions, and continuous improvement initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related field.
0-2 years of experience in AI, Machine Learning, Data Science, Software Development, or related areas.
Strong programming skills in Python.
Understanding of Machine Learning concepts including supervised and unsupervised learning.
Familiarity with Generative AI and Large Language Models (LLMs).
Knowledge of data structures, algorithms, and software engineering fundamentals.
Basic understanding of REST APIs, databases, and cloud technologies.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.

Preferred Skills

Experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or Hugging Face.
Exposure to LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, Gemini, or similar.
Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or agentic AI frameworks.
Understanding of Vector Databases and Retrieval-Augmented Generation (RAG).
Knowledge of MLOps concepts including MLflow, model deployment, monitoring, and CI/CD practices.
Exposure to cloud platforms such as Azure, AWS, or Google Cloud.
Understanding of Git, Docker, and containerized deployments.
Experience working on AI-related academic, internship, personal, or open-source projects.

What You'll Gain

Hands-on experience with enterprise-scale AI and Automation initiatives.
Opportunity to work on Generative AI, Agentic AI, and next-generation AI technologies.
Exposure to cloud-native AI solutions and MLOps practices.
Mentorship from experienced AI and technology leaders.
Opportunity to contribute to impactful business transformation programs through AI innovation.

Fortive

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