About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position Summary: We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other Engineers, ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC’s. Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level, which includes conducting learning sessions across teams and monitoring the progress of the team members. Responsibilities: Design and develop various Gen AI, Machine Learning and Deep Learning models and systems for high impact consumer applications ranging from predictive safety, content personalization’s, search, virtual assistant, time series forecasting and more. Work with a broad spectrum of state-of-the-art Gen AI, machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning. Fine-tune Large Language Models (LLMs) to optimize their performance for specific tasks and improve overall model accuracy. Implement NLP-based solutions and develop indexing/search capabilities, with in-depth experience in at least one iindexing systems. Build and maintain RESTful APIs using frameworks like Flask or Fast API to serve AI models and integrate them with external systems. Evaluate the performance of LLMs for varioususe cases and explore the potential of agentic AI to improve system efficiency. Design and implement end-to-end AI solutions using services from Azure or AWS Marketplace, including but not limited to Cognitive Services, Object Storage, API Management (APIM), and App Services. Produce reusable code according to standard methodologies in Python, Scala or Java Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews. Strong Python programming skills Qualifications: Bachelor's or master's degree in computer science or related field. Relevant experience of 3 years in Python programming. Programming: Proficiency in Python (Mandatory). ML Infrastructure: Hands-on experience with Databricks, Tecton, and ML Concepts (Model Deployment, Feature Engineering, Monitoring). Dev Ops & Automation: Strong knowledge of Kubernetes, Jenkins, and Git Hub for CI/CD pipelines and infrastructure automation. Cloud Computing: Expertise in AWS services related to ML Ops. Version Control & Monitoring: Experience with Git Hub Actions, observability tools, and system monitoring frameworks. Preferred Skills: Frameworks & Tools: Python, Classical ML, NLP, LLM, Langchain, Lang Graph, Py Torch, Spa Cy, DSPy
Job Title
Lead data scientist