Machine Learning Engineer

4 hours ago

Noida, Uttar Pradesh, India RocketFrog Full time ₹ 8,00,000 - ₹ 12,00,000 per year

About

is an AI Studio for Business, delivering deep science and real-world impact through cutting-edge AI solutions. We specialize in Agentic AI, Deep Learning, and full-stack AI-first product development across Healthcare, Pharma, BFSI, and Hi-Tech industries.


Ready to take a Rocket Leap with Science?

Role Overview:

We are seeking a high-potential
Machine Learning Engineer
with 2–4 years of experience and a strong academic background to join our AI innovation team. You'll design and implement ML models that drive intelligent automation and AI-first products for enterprise-grade use cases.

Key Responsibilities:

  • Design, develop, and optimize machine learning models for NLP, computer vision, or multi-modal applications
  • Build scalable pipelines for data preprocessing, training, and evaluation
  • Translate academic research and ideas into efficient, production-ready implementations
  • Explore and research relevant papers to propose plausible approaches for solving business problems
  • Apply optimization techniques such as quantization, pruning, and distillation
  • Collaborate with product, engineering, and domain teams to align ML systems with business needs
  • Stay updated with the latest developments in ML frameworks, tooling, and deployment strategies

Required Skills & Expertise:

  • Strong knowledge of Linear Algebra, Probability, and Statistics
  • Machine Learning Proficiency:
    Hands-on experience with supervised, unsupervised, and deep learning methods (CNNs, RNNs, Transformers)
  • Model Training Workflows:
    Familiarity with training-validation pipelines, k-fold cross-validation, early stopping, and hyperparameter tuning
  • Evaluation Metrics:
    Experience evaluating models using confusion matrix, PR curves, F1 score, accuracy, and ROC-AUC
  • Frameworks:
    Proficient in PyTorch with strong coding practices (clean, modular, testable)
  • Tools:
    Experience with model libraries and hubs such as Hugging Face Transformers, TorchVision, etc.
  • Data Handling:
    Ability to manage large datasets, custom data loaders, and data augmentation workflows
  • Deployment:
    Experience with model packaging (TorchScript, ONNX) and serving (FastAPI, TorchServe)
  • Experimentation & Reproducibility:
    Familiarity with tools like Weights & Biases, MLflow, or equivalent

Desirable Skills:

  • Experience with seq2seq models, LLM fine-tuning, or multi-modal architectures
  • Hands-on with knowledge distillation and other model compression techniques
  • Exposure to Agentic AI or orchestration frameworks like LangChain or LangGraph
  • Understanding of vector databases, embedding stores, and RAG pipelines
  • Contributions to open-source ML projects or academic research
  • Cloud AI Platforms:
    Preference for experience with
    Amazon SageMaker
    ,
    Azure AI Services
    ,
    Google Vertex AI
    , or
    Azure AI Foundry

What We Look For:

  • Strong foundations in mathematics, algorithmic thinking, and ML system design
  • Curiosity-driven mindset and a passion for solving complex problems
  • Ability to convert ideas into scalable and efficient solutions
  • Desire to learn and grow in a high-performance, innovation-first environment
  • Clear communication and collaborative problem-solving skills

Required Education Background:

  • B.Tech / M.Tech / MS from
    IISc, IITs, Top NITs, BITS Pilani, IIIT-H, DTU, NSUT
    , or equivalent Tier-1 institutions.

Why Join

Be part of the growth journey of

  • Work in an AI-driven company that is making a real business impact.
  • Enjoy a dynamic, fast-paced environment with career growth opportunities.
  • Apply now and be part of our journey to shape the future of AI

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