Solution Engineer - Machine Learning

Position: Solution Engineer - Machine Learning

Position Summary:

Solution Engineer provides technical expertise with in-depth application development experience and is responsible for delivering high quality projects to Saviant clients. This is a highly technical role, with focus on designing, architecting, and developing enterprise applications using the most advanced technology stack, methodologies and standards within the agreed timelines.

Individuals in this role will need to have good technical and communication skills and strive to be on the cutting edge, innovate, and explore to deliver quality solutions to Saviant Clients.

Your Role & Responsibilities at Saviant:

• Design, analyze, document, and develop AI/ML based solutions around customers business problems.
• Carry out end to end technical development, testing and deployment of applications.
• Ensure the solution developed is of the highest quality.
• Upgrade your knowledge by learning technologies beyond the traditional area of expertise.

Job Requirements/Qualifications:

• MTech, MCA, BTech, or BE in a relevant field.
• 3+ years of hands-on experience in designing, implementing, and deploying production-grade advanced AI solutions.
• Excellent communication skills

Tech Stack Knowledge and hands on experience –

• Python, SQL, and AI/ML algorithms and libraries
• Data analysis, data visualization, and data engineering
• Azure AI/ML services, and foundational Azure services and DevOps.
• Knowledge of Natural Language Processing (NLP), Computer Vision (CV), and Large Language Model (LLM)-based approaches.

Who Should Apply?

• You have developed end-to-end AI/ML projects, from understanding problem statements to implementation, with different business domains over the last 2-3 years.
• You are well versed with Agile development methodologies and have successfully used them across at least 2-3 projects.
• You have worked with diverse stakeholders, including business, functional, and technical teams.