Machine Learning Engineer

AI/ML Technical Recruiter | Global Talent Partner | 7+yrs in IT Recruitment

Job Summary:

As a Machine Learning / Data Scientist at InData Labs, you will play a pivotal role in advancing our data analytics and artificial intelligence initiatives. You will collaborate with cross-functional teams to develop and deploy machine learning models, harnessing the power of tools such as LLM, GPT, PyTorch, Tensorflow, ML, Deep Learning, and NLP. The ideal candidate will have a strong foundation in machine learning and a passion for solving complex problems.

• Utilize tools such as LLM, GPT, PyTorch, and Tensorflow to design, implement, and deploy machine learning models.

• Leverage your expertise in ML, Deep Learning, and NLP to create and optimize algorithms that drive insights from large datasets.
• Demonstrate proficiency in using a wide range of machine learning and data science tools to extract meaningful patterns and trends from diverse datasets.
• Experience with cloud platforms such as Azure and AWS for scalable and efficient model deployment.

• Nice to have:
  Contribute to the MLOps lifecycle, ensuring seamless integration between development and deployment environments.

• Strong experience in machine learning, data science, and statistical analysis.
• Proficiency with tools including LLM, GPT, PyTorch, Tensorflow, ML, Deep Learning, and NLP.
• Experience in algorithm development and optimization.
• Familiarity with cloud platforms, with a preference for Azure and AWS.
• Nice to have:
  Understanding of MLOps practices for streamlined model deployment.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

• Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, or a related field.
• 3+ years of hands‑on experience in machine learning and data science roles.

• Seniority level: Mid‑Senior level
• Employment type: Contract
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting