Data Scientist

HCLTech; Dadri; On-site; INR 600,000 - 1,400,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist/AIML Developer to join their innovative team in Noida. This exciting role involves leveraging advanced machine learning and deep learning techniques to develop generative AI models and optimize large language models (LLMs). You will collaborate closely with engineers to enhance application performance and deliver high-quality user experiences. If you are passionate about AI and eager to work in a dynamic environment where your contributions will shape the future of technology, this opportunity is perfect for you.

Qualifications

• Proficient in Python with strong ML, deep learning, and NLP skills.
• Experience in developing generative AI models and optimizing LLMs.

Responsibilities

• Develop and implement AI models, ensuring task generalization and performance optimization.
• Collaborate with engineers to deliver contextually appropriate responses in applications.

Skills

Python

Machine Learning

Deep Learning

NLP Processing

Generative AI Models

Prompt Engineering

Model Evaluation

Data Structures

Algorithms

Software Engineering Principles

Distributed Systems

System Architecture

Performance Tuning

Fine-tuning

Performance Optimization

API Design

Tools

Hugging Face

TensorFlow

Keras

PyTorch

Spark

MongoDB

NoSQL Databases

Kubernetes

ElasticSearch

Databricks

Job description

HCLTech is hiring Data Scientist/AIML Developer for Noida office.

Please share below details and cv on [e-mail]

Current CTC:

Expected CTC:

Total Experience:

If serving then LWD:

Current Location:

Are you ok with WFO in Noida (Yes/No):

Job Description:

• 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.
• 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.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Consulting

Industries

IT Services and IT Consulting and Software Development