AI Developers/5-8 Years/Hyderabad

Role Overview

We are seeking a highly skilled AI Developer with 5–8 years of experience in building and supporting AI-driven solutions. The ideal candidate should have worked on multiple AI-embedded products, contributed to Generative AI (GenAI) projects leveraging Retrieval-Augmented Generation (RAG), and established scalable MLOps practices. You will play a key role in designing, developing, and deploying AI/ML models, ensuring seamless integration into production environments, and driving innovation in next-gen AI applications.

Key Responsibilities

• AI/GenAI Development:
• Design and develop AI/ML models, with hands-on expertise in LLMs (Large Language Models) and GenAI solutions.
• Implement RAG pipelines to improve contextual responses and accuracy of LLM-based applications.
• Support and enhance multiple AI-embedded products from development to production.
• Data & Pipelines:
• Build and maintain scalable data pipelines for AI/ML training and inference.
• Work with structured and unstructured data, including text, images, and multimodal inputs.
• Ensure data quality, preprocessing, and feature engineering pipelines.
• MLOps & Deployment:
• Define and establish MLOps best practices for continuous integration, model monitoring, versioning, and governance.
• Automate model deployment workflows and optimize inference performance.
• Collaborate with DevOps/DataOps teams to integrate AI solutions with enterprise systems.
• Collaboration & Innovation:
• Partner with cross-functional teams (data engineers, product managers, software engineers) to deliver end-to-end AI solutions.
• Stay updated with advancements in AI/GenAI, and proactively recommend innovative approaches.
• Mentor junior team members and contribute to AI knowledge-sharing initiatives.

Required Skills & Experience

• Core AI/ML Expertise:
• 5–8 years of hands-on experience in Machine Learning, Deep Learning, and AI product development.
• Strong understanding of LLMs (GPT, LLaMA, Falcon, etc.), embeddings, vector databases, and RAG frameworks.
• Experience in Generative AI solutions across text, conversational AI, or multimodal domains.
• Data Engineering:
• Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers.
• Experience with data pipelines (Airflow, Prefect, Kafka, Spark, or similar).
• Hands-on experience with SQL/NoSQL databases and vector databases (e.g., Pinecone, Weaviate, FAISS).
• MLOps Practices:
• Strong experience in establishing MLOps pipelines (CI/CD for ML, MLFlow, Kubeflow, SageMaker, Vertex AI, or similar).
• Monitoring, logging, and retraining AI/ML models in production.
• Containerization & orchestration (Docker, Kubernetes).
• Cloud & Tools:
• Expertise with at least one major cloud platform (AWS, Azure, GCP).
• Familiarity with API development (REST, GraphQL) and microservices integration.
• Soft Skills:
• Strong problem-solving and analytical skills.
• Ability to work in agile environments, with excellent collaboration and communication skills.
• Passion for innovation and driving AI adoption in real-world products.

Preferred Qualifications

• Experience working on AI embedded products across industries.
• Contributions to open-source AI/ML projects or published research papers.
• Exposure to multi-agent AI frameworks and prompt engineering.
• Knowledge of responsible AI practices (bias detection, fairness, explainability).

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Relevant certifications in AI/ML, MLOps, or cloud platforms are a plus.

Job Type: Full-time

Pay: ₹100,000.00 - ₹140,000.00 per month