Data Scientist-Gen AI

YASH Technologies; Indore; On-site; INR 600,000 - 1,200,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer to advance AI solutions across various industries. This role involves developing and optimizing machine learning and generative AI models to tackle real-world challenges. You will engage with large-scale datasets, implement cutting-edge algorithms, and ensure the scalability and performance of ML solutions. Collaborating with global teams, you will communicate results effectively through data visualization. If you are passionate about pushing the boundaries of machine learning and generative AI, this opportunity is perfect for you!

Qualifications

• Strong experience in ML, Deep Learning, NLP, and Generative AI.
• Hands-on expertise in TensorFlow, PyTorch, or Hugging Face Transformers.

Responsibilities

• Develop and optimize ML, NLP, Deep Learning, and Generative AI models.
• Collaborate with cross-functional teams to solve data integration challenges.

Skills

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Generative AI

Python

R

Scala

Analytical Skills

Education

MBA

Tools

TensorFlow

PyTorch

Hugging Face Transformers

AWS

Azure

GCP

Spark

Hadoop

Dask

Job description

Direct message the job poster from YASH Technologies

Talent Acquisition Specialist @YASH Technologies | Placing people at Best | MBA Holder | Specializing in Data Hiring

Job Overview:

We are looking for a Machine Learning Engineer to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges.

Key Responsibilities:

1. Develop and optimize ML, NLP, Deep Learning, and Generative AI models.
2. Research and implement state-of-the-art algorithms for supervised and unsupervised learning.
3. Work with large-scale datasets in distributed environments.
4. Understand business processes to select and apply the best ML approaches.
5. Ensure scalability and performance of ML solutions.
6. Collaborate with cross-functional teams, including product owners, designers, and developers.
7. Solve complex data integration and deployment challenges.
8. Communicate results effectively using data visualization.
9. Work in global teams across different time zones.

Required Skills & Experience:

1. Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
2. Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
3. Experience with LLMs (Large Language Models), model fine-tuning, and prompt engineering.
4. Proficiency in Python, R, or Scala for ML development.
5. Knowledge of cloud-based ML platforms (AWS, Azure, GCP).
6. Experience with big data processing (Spark, Hadoop, or Dask).
7. Ability to scale ML models from prototypes to production.
8. Strong analytical and problem-solving skills.

If you’re passionate about pushing the boundaries of ML and GenAI, we’d love to hear from you!

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting