1 year ago
Noida, IndiaMid Level / Senior

Responsibilities

  • Fine-tune and deploy open-source general-purpose LLMs and code-generation models using PEFT, LoRA, QLoRA, instruction tuning, and RLHF.
  • Design autonomous, goal-driven AI agents that plan, reason, and execute multi-step workflows.
  • Implement function calling so models can invoke external tools, APIs, databases, and services.
  • Build agentic retrieval-augmented generation pipelines for dynamic data retrieval and reasoning.
  • Create and maintain data ingestion, labeling, feature engineering, vector database, and MLOps pipelines.
  • Containerize applications with Docker and Kubernetes.
  • Optimize and monitor model latency, drift, bias, privacy, security, and overall performance.
  • Collaborate with data, product, and engineering teams to translate business needs into agentic GenAI solutions.
  • Stay current with agentic reinforcement-learning frameworks, multi-agent orchestration, MCP, and secure function calling.
  • Analyze documents and images to extract insights from unstructured data.

Requirements

  • Bachelor's or master's degree in Computer Science, Data Science, ML/AI, or equivalent experience.
  • 3–5 years of experience building and deploying AI/ML solutions with demonstrable production experience.
  • Extensive experience fine-tuning LLMs and code models with PEFT, LoRA, QLoRA, and RLHF.
  • Proven experience designing or delivering agentic GenAI applications involving function calling, autonomous workflows, and RAG pipelines.
  • Proficiency in Python, PyTorch or TensorFlow, Hugging Face, LangChain, LangGraph, or similar frameworks.
  • Experience with document and image analysis and extracting insights from unstructured data.
  • Strong infrastructure skills with Docker, Kubernetes, CI/CD, and MLOps tooling.
  • Strong analytical, problem-solving, system-optimization, error-mitigation, and security skills.
  • Ability to translate business requirements into technical designs.
  • Candidates must be authorized to work in the United States without current or future sponsorship.

Benefits

  • Competitive benefits for the countries served by apexanalytix.
  • BeWell@apex wellness initiative covering emotional, physical, community, financial, social, and intelligence wellness.
  • Mentor program and internal training portal.
  • Education, tuition, and certification assistance.
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