Role & responsibilities :

We are seeking a skilled AI/ML Engineer with 4+ years of experience to design, develop, and deploy scalable machine learning and AI solutions. The role involves working on real-world problems using advanced ML, deep learning, and Generative AI techniques, while ensuring production-grade reliability, performance, and compliance.

Key ResponsibilitiesModel Development & Deployment
Design, develop, and optimize machine learning and deep learning models
Work on supervised, unsupervised, and reinforcement learning use cases
Deploy models into production using scalable APIs and microservices
Optimize models for performance, latency, and cost

Generative AI & LLMs
Build and integrate solutions using LLMs (e.g., OpenAI, open-source models)
Implement RAG (Retrieval-Augmented Generation) pipelines
Fine-tune models and design prompt engineering strategies
Develop AI agents and workflow automation systems

Data Engineering & Processing
Collect, clean, and preprocess structured and unstructured data
Build feature engineering pipelines
Work with large-scale datasets and distributed systems

MLOps & Lifecycle Management
Implement CI/CD pipelines for ML models
Monitor model performance, drift, and retraining needs




Use tools for experiment tracking, versioning, and model governance

Collaboration & Stakeholder Interaction
Work closely with product managers, engineers, and business stakeholders
Translate business requirements into technical AI solutions
Present findings and model performance to leadership

Required SkillsCore AI/ML Skills
Solid experience in machine learning algorithms and statistical modeling
Hands-on experience with deep learning frameworks (TensorFlow / PyTorch)
Experience with NLP, Computer Vision, or Time-Series models

Generative AI
Experience with LLMs, prompt engineering, and RAG architectures
Familiarity with frameworks like LangChain, LlamaIndex, or LangGraph
Understanding of embeddings, vector databases (FAISS, Pinecone, etc.)

Programming & Tools
Solid programming in Python
Experience with libraries: scikit-learn, pandas, NumPy, Hugging Face
Knowledge of REST APIs, FastAPI/Flask
Experience with Docker, Kubernetes (preferred)

Cloud & Platforms
Hands-on experience with AWS / GCP / Azure
Familiarity with ML services like SageMaker, Vertex AI, or Azure ML

📌 Python Ai Developer Karnataka
🏢 Atem Software Solutions
📍 Karnataka