Technical Lead/Architect

Overview

Hiring for AI/ML Technical Lead and Architect.

Job description:

Technical Skillset: - Generative AI - GPT3, ML Ops and Python

§ Proficient in Python, with experience in machine learning, deep learning, and NLP processing.

§ Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

§ Proficient in Langchain, LLM

§ Prompt Engineering: The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.

§ Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.

§ Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.

§ It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering.

§ Experience with vector databases RDBMS, MongoDB and NoSQL databases.

§ Proficiency in working with embeddings.

§ Strong distributed systems skills and system architecture skills

§ Experienced in building and running a large platform at scale.

§ Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools.

§ Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks.

§ Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema.

§ Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology.

§ Good Knowledge of Kubernetes, and RESTful design.

§ Prior experience in developing public cloud services or open-source ML software is an advantage

Job Types: Full-time, Permanent

Pay: Up to ₹2,500,000.00 per year

Schedule:

• Day shift
• Fixed shift
• Monday to Friday

Work Location: In person