Job Title:
Senior ML Engineer
Company: krtrimaIQ Cognitive Solutions
Location: Bengaluru, Karnataka
Created: 2025-09-10
Job Type: Full Time
Job Description:
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.