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Mindlance
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Job Description:
You will deliver machine learning and artificial intelligence solutions to support the analytical and automation needs of the client project team. Develop, train, and implement machine learning and AI models using relevant data sources. Apply techniques such as natural language processing, computer vision, or predictive analytics as needed for project objectives. Conduct data preprocessing, feature selection, and model evaluation to ensure solution quality. Deploy AI-driven applications and monitor their ongoing performance in production environments. Document methodologies and collaborate with technical team members to align solutions with project requirements.
Enable Skills-Based Hiring No
Primary Skill Required for the Role
Robotic Process Automation/Artificial Intelligence (AI)/Machine Learning
Level Required for Primary Skill
Advanced (6-9 years experience)
Additional Skills Requested for Role
Skill (optional)
Level (optional)
Criteria (optional)
Python AI
Snowflake
Additional Details for Role
Senior AI Engineer
Hands-on AI engineers with experience building LLM-based applications, agentic workflows, RAG pipelines, prompt orchestration, text-to-SQL capabilities, evaluation frameworks, and scalable AI services. These resources should also have strong experience in model and agent evaluation, including defining evaluation criteria, creating golden datasets, measuring response quality, testing agent routing and task completion, validating groundedness, and monitoring regression across prompts, tools, and workflows.
Python, SQL, Vector DB(Qdrant, Mongo), Multi agent orchestration, Langraph, Fast API, MCP
reranking, chunking, DeepEval, Ragas, promptfoo, LangSmith evals, OpenAI Tracing, LangSmith, MLflow
Docker, CI/CD,
PII handling, prompt injection testing, guardrails, audit loggingAfter you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.
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