AI/ML Engineer
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Role Description
This is a full-time on-site role for an AI/ML Engineer based in Chennai. Work Model can be discussed.
The AI/ML Engineer will be working on Generative AI and LLM-based application development. Strong in Python/TypeScript, RESTful APIs, and LLM orchestration frameworks like LangChain and LlamaIndex. Experienced in prompt engineering, vector databases, and cloud AI platforms, with a solid foundation in NLP and scalable microservices architecture.
Responsibilities:
Hands on experience in Generative AI and LLM application development.
Strong in Developing RESTFUL services.
Strong proficiency in TypeScript or Python for AI-driven backend development.
Experience with Lang Chain, Llama Index, or similar frameworks for LLM orchestration.
Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, function calling).
Experience working with vector databases (Pinecone, Chroma DB, FAISS, Weaviate).
Knowledge of API development (REST, GraphQL) and microservices architecture.
Familiarity with cloud AI services (AWS Bedrock, SageMaker, GCP Vertex AI, Azure OpenAI).
Understanding natural language processing (NLP), embeddings, and transformers.
Version control using Git and experience with CI/CD pipelines.
Required Skills and Qualifications:
4+ years of experience
Strong analytical and problem-solving skills.
Ability to write clear and structured documentation.
Excellent collaboration and communication skills.
Passion for AI innovation and continuous learning.
Job ID: 151274967
Skills:
object detection , Numpy, Computer Vision, Pandas, Image Processing, Python, Scikit-learn, Image classification
Skills:
Pyspark, Kubernetes, Docker, Python Programming, ML algorithms and statistics, Deploying ML models into production, AWS or GCP cloud
Skills:
snowflake , prophet , Apis, Azure Sql, Tensorflow, Git, Pytorch, Arima, Version Control Systems, Python, LSTM, Temporal Fusion Transformer, Scikit-learn, reinforcement learning, DeepAR, Databricks Delta
Skills:
Natural Language Processing, Deep Learning, Apache Spark, Decision Trees, Hadoop, Neural Networks, Python Programming, Clustering, Random Forest, Machine Learning Algorithms, Jenkins, Kubeflow, Airflow, Large Language Models, Boosting Algorithm, ML Flow, CI CD Pipeline, Data Munging Techniques, reinforcement learning, Bayesian Networks, Support Vector Machines
Skills:
Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving
