Armakuni
Website:
armakuni.com
Job details:
We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies—including large language models (LLMs), computer vision, machine learning, and data science—to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments.
Key Responsibilities:
Leadership & Strategy
- Drive the technical vision and roadmap for AI/ML and Generative AI initiatives.
- Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture.
- Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions.
- Own the AI/ML lifecycle from prototyping and experimentation to production deployment and monitoring.
Generative AI & LLMs
- Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks.
- Deep experience in working with large language models (LLMs), including fine-tuning, evaluation, and deployment.
- Expertise in prompt engineering, agentic workflows, and custom LLM development.
- Proficient with LangChain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications.
Machine Learning & Data Science
- Solve complex machine learning problems using supervised, unsupervised, and deep learning methods.
- Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring.
- Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies.
- Apply advanced analytics, time series forecasting, and predictive modeling techniques.
Computer Vision
- Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning.
Skills & Qualifications:
- 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs.
- Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost.
- Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc.
- Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc.
- Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies.
- Hands-on with deep learning frameworks such as PyTorch and TensorFlow.
- Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc.
- Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools.
- Strong database knowledge—both SQL (PostgreSQL) and NoSQL (DynamoDB).
- Familiarity with caching systems like Redis and Memcached.
- Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders.
Preferred:
- Experience in leading enterprise-scale AI/ML deployments.
- Contributions to open-source GenAI/ML projects.
- Certifications in AWS AI/ML or equivalent.
Click on Apply to know more.