Immediate Candidates Only

Location : Bangalore

Experience: 6 to 8 Years

Role Overview:

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 Responsibilities:

Model 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 Skills:

Core AI/ML Skills:

- Strong 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:

- Strong 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

Qualifications:

- Bachelors/Masters degree in Computer Science, AI, Data Science, or related field

- Relevant certifications in AI/ML or Cloud (preferred)

Preferred Experience:

- Experience in BFSI / FinTech / Healthcare domains

- Working with sensitive or regulated data environments

- Exposure to real-time AI systems and high-scale deployments

Key Competencies:

- Strong problem-solving and analytical thinking

- Ability to work independently and in cross-functional teams

- Good communication and presentation skills

- Ownership mindset and attention to detail

Nice to Have:

- Experience with AI agents / autonomous systems

- Knowledge of model explainability (SHAP, LIME)

- Familiarity with data privacy, compliance, and security standards

- Experience in building AI platforms or internal tools