<p></p><p><b>Description :</b><br/><br/></p><p>We are seeking an experienced AI/ML Solution Architect to design and deliver enterprise-grade Machine Learning and Generative AI solutions.
</p><p><br/></p><p>The ideal candidate will define scalable, production-grade architectures across model development, training, deployment, and orchestration integrating LLMs, MLOps, and distributed data systems.<br/><br/>You will collaborate closely with Data Science, ML Engineering, and Business teams to drive innovation and technical excellence in the AI roadmap.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Define and own end-to-end AI/ML architecture, from data pipelines to production deployment.<br/><br/></p><p>- Evaluate and select ML frameworks, tools, and platforms to ensure scalability, cost-efficiency, and maintainability.<br/><br/></p><p>- Design feature stores, data pipelines, and inference services for real-time and batch ML workloads.<br/><br/></p><p>- Establish best practices for model governance, versioning, and reproducibility.<br/><br/></p><p>- Lead LLM integration with business applications using LangChain, LangGraph, and related frameworks.<br/><br/></p><p>- Provide technical leadership, mentorship, and roadmap alignment for engineering and data science teams.<br/><br/><b>Key Skills & Competencies :</b><br/></p><p><br/>- Expertise in Python, FastAPI, and PySpark for large-scale data engineering.<br/><br/></p><p>- Strong grounding in ML algorithms: supervised, unsupervised, and reinforcement learning.<br/><br/></p><p>- Proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost).<br/></p><p><br/>- Hands-on experience in LLM orchestration frameworks (LangChain, LlamaIndex, LangGraph, LangFlow).<br/></p><p><br/>- Experience in MLOps and cloud AI platforms: AWS SageMaker, Azure ML, GCP Vertex AI.<br/></p><p><br/>- Deep understanding of prompt engineering, Agentic AI, and retrieval-augmented generation (RAG).<br/></p><p><br/>- Familiarity with SQL/NoSQL databases and scalable data infrastructure.<br/><br/><b>Mandatory AI/ML Packages :</b><br/></p><p><br/>- scikit-learn, XGBoost, LightGBM, CatBoost,<br/></p><p><br/>- TensorFlow, Torch, TorchVision, Keras,<br/></p><p><br/>- Pandas, NumPy, PySpark, Dask, Polars,<br/></p><p><br/>- MLflow, SageMaker, FastAPI, Flask, Uvicorn, AioHTTP,<br/></p><p><br/>- SQLAlchemy, PyMongo, Boto3, Redis,<br/></p><p><br/>- Matplotlib, Seaborn, Plotly, YData-Profiling,<br/></p><p><br/>- LangChain, LlamaIndex, LangGraph, LangFlow, Transformers<br/><br/><b>Desired AI/ML Packages :</b><br/></p><p><br/>- Accelerate, Sentence-Transformers, FAISS,<br/></p><p><br/>- AutoGen, CrewAI, Cerberus, Qdrant-Client, TechAhead :</b><br/><br/></p><p>TechAhead is a global digital transformation company with a strong presence in the USA and India.
We specialize in AI-first product design thinking and bespoke development solutions.
</p><p><br/></p><p>With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence.
</p><p><br/></p><p>At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients.<br/><br/>Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies.
</p><br/><p></p> (ref:hirist.tech)