AI Engineer (FSS)

We are seeking a motivated Junior AI Engineer to join our Mahindra AI team, focusing on Generative AI (GenAI) and related technologies. The candidate will work closely with cross-functional teams, including application development, to design, develop, and deploy end-to-end AI solutions that drive business impact. This role offers an exciting opportunity to contribute to cutting-edge AI projects while growing your technical expertise.

Key Responsibilities

• Model Development: Design, develop, and fine-tune Generative AI models (e.g., LLMs, GANs, VAEs) for applications such as text generation, image and video analysis and insight generation.


• End-to-End Project Ownership: Collaborate with stakeholders to define project requirements, develop AI pipelines, and deploy models into production environments.


• Application Integration: Work closely with application development teams to integrate AI models into web, mobile, or enterprise applications, ensuring seamless functionality.


• Data Processing: Preprocess and analyze large datasets to prepare them for model training, including data cleaning, feature engineering, and augmentation.


• Testing & Validation: Conduct rigorous testing, validation, and monitoring of AI models to ensure accuracy, robustness, and reliability in production.


• Collaboration: Partner with product managers, software engineers, and data scientists to align AI solutions with business objectives and technical requirements.


• Stay Updated: Keep abreast of the latest advancements in GenAI, machine learning, and related fields to propose innovative solutions.

Qualifications

• Education: Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Master s degree is a plus.


• Experience:
  
  
  
  • 1-4 years of experience in AI/ML development, with exposure to Generative AI, deep learning, NLP, Machine Learning, Computer Vision and Speech technology frameworks.
  
  
  • Hands-on experience with end-to-end AI project lifecycles, from data preparation to model deployment.
  
  
  • Experience collaborating with software development teams to integrate AI solutions into applications.
  
  
  
  


• Technical Skills:
  
  
  
  • Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, scikit-learn, llama-index, langchain).
  
  
  • Familiarity with Generative AI techniques (e.g., LLMs, GANs, diffusion models).
  
  
  • Proficiency in writing prompts and Fine-tuning LLM
  
  
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for model training and deployment along with working with Open-source model deployment
  
  
  • Knowledge of software development practices, including version control (Git), CI/CD pipelines, and containerization (Docker).
  
  
  • Understanding of REST APIs, microservices, or web frameworks (e.g., Flask, FastAPI) for application integration.
  
  
  • Basic knowledge of data engineering tools (e.g., SQL, Pandas, Spark) for data preprocessing.
  
  
  
  


• Soft Skills:
  
  
  
  • Strong problem-solving skills and a proactive approach to tackling challenges.
  
  
  • Excellent communication skills to collaborate with technical and non-technical stakeholders.
  
  
  • Ability to work in a fast-paced, team-oriented environment.
  
  
  
  


• Nice-to-Have:
  
  
  
  • Experience with MLOps tools (e.g., MLflow, Kubeflow) for model tracking and deployment.
  
  
  • Familiarity with front-end or back-end development (e.g., JavaScript, React, Node.js).
  
  
  • Contributions to open-source AI projects or a portfolio showcasing relevant work.
  
  
  
  

Why Join Us

• Opportunity to work on cutting-edge AI projects with real-world impact.


• Collaborative and innovative work environment with a focus on technical excellence.


• Access to state-of-the-art tools, technologies, and resources to fuel your success.