Senior ML Engineer

6 days ago

Bengaluru, Karnataka, India krtrimaIQ Cognitive Solutions Full time

Job Title: Senior Machine Learning Engineer

Location: Bangalore (Hybrid Mode)

Experience Required: 3 - 4+ Years

Budget: Up to 15 LPA

About Us

At KrtrimaIQ Cognitive Solutions, we enable enterprises to become intelligent organizations by leveraging AI/ML, Data Engineering, NLP, Computer Vision, and Generative AI solutions. We are looking for a Senior Machine Learning Engineer who is passionate about designing, building, and deploying scalable ML models and solutions.

Key Responsibilities
  • Design, build, and deploy machine learning models into production environments.
  • Work closely with Data Engineers, Product, and AI teams to deliver end-to-end ML solutions.
  • Optimize model performance and ensure scalability, reliability, and low latency.
  • Explore, experiment, and implement advanced ML techniques including LLMs (Large Language Models) and Retrieval Augmented Generation (RAG).
  • Automate ML pipelines for efficient data processing and model training.
  • Document, test, and maintain ML systems to ensure smooth deployment cycles.
Required Skills & Qualifications
  • 3-4 + years of hands-on experience as a Machine Learning Engineer.
  • Strong expertise in Python, ML frameworks (TensorFlow / PyTorch / Scikit-learn).
  • Proven experience in deploying ML models in real-world production environments (Docker, Kubernetes, cloud platforms).
  • Solid understanding of data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud environments like AWS / Azure / GCP.
  • Strong problem-solving, debugging, and analytical skills.
Good to Have
  • Hands-on experience working with LLMs, RAG-based systems, or Generative AI projects.
  • Exposure to NLP, Transformers, and Vector Databases (Pinecone, Weaviate, FAISS, etc.).
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow, CI/CD pipelines).
What We Offer
  • Competitive salary up to 15 LPA.
  • Flexible hybrid work model (Bangalore).
  • Opportunity to work on cutting-edge AI/ML & Generative AI projects.
  • A collaborative team culture that encourages innovation and learning.

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