AI/ML Engineer
First seen by Alion on Jul 30, 2026.
Job Description :
We are seeking a skilled AI/ML Engineer who has good experience in 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.
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.
Skills
Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, LLM, RAG, Data Engineering, Prompt Engineering, LangChain, LangGraph, Python