Job title: Machine learning engineer (Gen AI)

Location: Bangalore

experience: 5 To 7Years

Key responsibilities

Advise clients on GenAI use cases, strategies, and provide feedback for product roadmap
Evaluate and recommend suitable GenAI models and solutions for clients problem statement
Design and prototype GenAI features and applications, focusing on user needs and value
Keep up with the latest advancements in AI technologies, including Gen AI and the latest features of popular tools (RAG)
Collaborate with engineering and design teams to ensure successful product integration
Collect, clean, and preprocess data using appropriate tools and libraries, ensuring compatibility with AI algorithms and frameworks
Train, test, and evaluate AI models employing appropriate evaluation metrics
Optimize and fine-tune models for performance, scalability and efficiency
Implement and deploy AI solutions in production environments under different frameworks
Ability to build applications and use appropriate prompting on generative AI models
Strong experience in Natural Language Processing, Large Language Models, and RAG approaches
Assess the ethical implications and risks associated with GenAI product deployments
Support pre-sales activities by providing GenAI expertise and contributing to product roadmaps

Skills and attributes for success - To qualify for the role you must have

Bachelor's /Master's degree in computer science, data science, engineering, or a related field.
Strong hands-on background in AI, machine learning, deep learning, and statistical modeling
Proficiency in programming languages such as Python, Java
Strong understanding of existing GenAI services
Strong understanding of data structures, algorithms and AI project lifecycle

What we look for

Strong analytical, problem solving and critical thinking skills
Desire to investigate and try-out new tools and technologies as they are released
Ability to work under tight timelines, in cases for multiple project deliveries
Good interpersonal skills and ability to work effectively within high-performing teams
Confidence to convey technical advice and guidance to clients
Ability to adapt in a fast-paced multinational environment
Evidence of self-motivation for continuous development

Machine Learning Engineer