Analytic And Data Science And IOT Engineer
Analytic And Data Science And IOT Engineer
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Job Description
Our client is a rapidly growing automationled service provider specializing in IT business process outsourcing (BPO) and consulting services. With a strong focus on digital transformation cloud solutions and AIdriven automation they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32000 employees our client fosters a culture of innovation collaboration and continuous learning making it an exciting environment for professionals looking to advance their careers.
Committed to excellence our client serves 31 Fortune 500 companies across industries such as financial services healthcare and manufacturing. Their approach is driven by the Automate Everything Cloudify Everything and Transform Customer Experiences strategy ensuring they stay ahead in an evolving digital landscape.
As a company that values growth and professional development our client offers global career opportunities a dynamic work environment and exposure to highimpact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries employees benefit from an international network of expertise and innovation. Their commitment to a customer success first and always philosophy ensures a rewarding and forwardthinking workplace for driven professionals.
We are currently searching for a Job Position:
Responsibilities
- Design and implement machine learning models (traditional ML deep learning) to solve complex business problems across diverse domains.
- Develop NLP solutions including sentiment analysis text classification entity recognition and language generation.
- Innovate with Generative AI techniques (e.g. GANs Transformers LLMs) to create stateoftheart applications.
- Collaborate with crossfunctional teams to translate business requirements into scalable technical solutions.
- Validate and optimize models through hyperparameter tuning performance testing and scalability checks.
- Stay updated with advancements in AI/ML research and integrate cuttingedge methodologies.
Requirements
- 4 years of experience in AI/ML engineering with a focus on generative AI NLP and deep learning.
- Expertise in traditional ML (regression classification clustering) and DL frameworks (TensorFlow PyTorch).
- Handson experience in NLP tasks (sentiment analysis text classification) and Generative AI tools (e.g. GPT Llama diffusion models).
- Proven ability to validate model quality reliability and scalability through rigorous testing.
- Strong proficiency in Python and ML lifecycle management (data prep training deployment).
- Ability to thrive in a remote collaborative environment with crossfunctional teams.
Languages
- Advanced Oral English.
- Native Spanish.
Note:
- Fully remote
If you meet these qualifications and are pursuing new challenges start your application on our website to join an awardwinning employer. Explore all our job openings Sequoia Career s Page: Requirements : Requirements
Generative AI NLPTensorFlow PyTorch traditional ML
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Full-time
