InData Labs
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.
Responsibilities:
Utilize tools such as LLM, GPT, PyTorch, and Tensorflow to design, implement, and deploy machine learning models.
Algorithm Development:
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.
MLOps:
Nice to have: Contribute to the MLOps lifecycle, ensuring seamless integration between development and deployment environments.
Requirements:
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.
Education and Experience:
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.
Job Details
Seniority level:
Mid‑Senior level
Employment type:
Contract
Job function:
Engineering and Information Technology
Industries:
IT Services and IT Consulting
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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.
Responsibilities:
Utilize tools such as LLM, GPT, PyTorch, and Tensorflow to design, implement, and deploy machine learning models.
Algorithm Development:
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.
MLOps:
Nice to have: Contribute to the MLOps lifecycle, ensuring seamless integration between development and deployment environments.
Requirements:
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.
Education and Experience:
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.
Job Details
Seniority level:
Mid‑Senior level
Employment type:
Contract
Job function:
Engineering and Information Technology
Industries:
IT Services and IT Consulting
#J-18808-Ljbffr