Senior AI/ML Engineer

5 days ago

Hyderabad, India Aiklisolve Technologies Full time

Role Overview

As a Senior AI/ML Engineer, you will play a critical role in shaping our AI initiatives. You will lead the development of RAG pipelines, fine-tuned LLMs, and advanced analytics solutions to power our products. This is a hands-on role, ideal for someone who thrives in fast-paced environments and enjoys building robust, production-ready AI solutions.

Key Responsibilities

AI/ML Development

  • Design, implement, and optimize Retrieval-Augmented Generation (RAG) systems.
  • Fine-tune large language models (LLMs) for domain-specific applications.
  • Research and apply best practices in embeddings, vector databases, and retrieval strategies.
  • Build scalable pipelines for training, evaluation, and deployment.

Data Analytics

  • Analyze structured and unstructured datasets to derive actionable insights.
  • Design dashboards and visualizations to support decision-making.
  • Translate business and client needs into data-driven AI solutions.

Deployment & Engineering

  • Deploy and maintain ML/AI models in production environments.
  • Integrate AI models with product stack (Supabase, n8n workflows, AWS S3, React/Tailwind).
  • Optimize inference performance and ensure security and compliance.

Collaboration & Leadership

  • Collaborate with product and engineering teams to align AI capabilities with business goals.
  • Mentor and guide junior engineers on AI/ML best practices.
  • Stay updated with the latest advancements in LLMs, fine-tuning, and AI infrastructure.

Qualifications & Experience

Education

  • Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related fields.
  • Strong academic foundation in algorithms, mathematics, and statistics.

Experience

  • 5–8 years of hands-on experience in Machine Learning, Deep Learning, and Data Analytics.
  • Proven track record in LLM fine-tuning, RAG pipelines, and production deployments.
  • Experience with Python, PyTorch/TensorFlow, LangChain/LlamaIndex, and related frameworks.
  • Knowledge of SQL & NoSQL databases, data preprocessing, and feature engineering.
  • Familiarity with MLOps practices, cloud services (AWS/GCP/Azure), and API integrations.
  • Exposure to Supabase, AWS S3, and workflow tools (like n8n) is a plus.

What We Offer

  • Opportunity to lead AI initiatives across multiple industry domains.
  • Work on challenging, real-world AI/ML problems with direct client impact.
  • A collaborative environment with room for technical and career growth.
  • Pathway to grow into a Lead/Head of AI role as the company scales.

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