Ai Ml Engineer

Job description

Role: Lead/ Sr. Engineer - AIML Specialist Exp: 7 - 14 Years Location: Benguluru (Work from Office) Were looking for someone with: • A bachelors degree in Computer Science, Data Engineering, or a related field (masters preferred). • 5+ years of experience in data architecture, with a focus on AI/ML-enabled systems. • Hands-on experience with Generative AI models (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment. • Proficiency in data engineering tools and frameworks, such as Apache Spark, Hadoop, and Kafka. • Deep knowledge of database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI). • Strong understanding of data governance, MLOps, and AI model lifecycle management. • Experience with programming languages such as Python or R and frameworks like TensorFlow or PyTorch. • Excellent problem-solving and communication skills, with a demonstrated ability to lead cross-functional teams. Preferred Skills • Familiarity with LLM fine-tuning, prompt engineering, and embedding models. • Experience integrating generative AI solutions into production-level applications. • Knowledge of vector databases (e.g., Pinecone, Weaviate) for storing and retrieving embeddings. • Expertise in APIs for AI models, such as OpenAI API or Hugging Face Transformers. Nice to have: Experience in GenAI / AI-driven commercial analytics, a Life Sciences consulting background, or Veeva / Salesforce certifications. Interested: sanjeevan.natarajan@careernet.in