Senior ML Engineer

1 day 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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