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