AI Engineer (FSS)

Kandivali Plant (AD), Kandivali Plant (AD), IN

Mahindra Group

A technology & innovation-led, global, federation of companies, that provides a wide range of products, services & possibilities, enabling people to Rise

View all jobs at Mahindra Group

Apply now Apply later

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.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0

Tags: APIs AWS Azure CI/CD Computer Science Computer Vision Deep Learning Diffusion models Docker Engineering FastAPI Feature engineering Flask GANs GCP Generative AI Git JavaScript Kubeflow LangChain LLaMA LLMs Machine Learning Microservices MLFlow ML models MLOps Model deployment Model training NLP Node.js Open Source Pandas Pipelines Python PyTorch React Scikit-learn Spark SQL TensorFlow Testing

Region: Asia/Pacific
Country: India

More jobs like this