Armakuni
Website:
armakuni.com
Job details:
Job Summary:
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.