SR. AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a SR. AI Engineer in San Jose, CA, with a contract length of over 6 months, offering competitive pay. Requires 3+ years in NLP and machine learning, proficiency in Python, and experience with LLMs and big data technologies.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
May 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
San Jose, CA
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🧠 - Skills detailed
#HBase #Data Processing #Libraries #Programming #Big Data #Pig #SQL (Structured Query Language) #AI (Artificial Intelligence) #Spark (Apache Spark) #Hadoop #ML (Machine Learning) #PyTorch #Java #TensorFlow #Python #NLP (Natural Language Processing)
Role description
SR. AI Engineer San Jose, CA (Onsite) Fulltime Roles & Responsibilities: β€’ 3+ years of working experience in Natural Language Processing and machine learning. β€’ Deep knowledge in NLP techniques, including embeddings, attention mechanisms, sequence-to-sequence models, generative AI, etc. Rich experience in designing and implementing NLP models. β€’ Knowledge about large language models (LLMs) and building Agentic AI workflows. β€’ Proficiency in Python, and rich experienced with libraries like TensorFlow, PyTorch, etc. β€’ Strong analytical and problem-solving skills. β€’ Fluent in both spoken and written English. β€’ Collaborate closely with global product and engineering teams to design AI and LLM solutions and support business objectives. β€’ Design, develop and deliver AI/ML models, leveraging cutting edge technologies to drive innovation. β€’ Analyze user behavior on existing solutions and enhance them through an AI/ML driven approach. Preferred Qualifications: β€’ Master multiple programming languages, primarily Python, SQL and Java along with knowledge on Lang chain and other LLM libraries and models like GPT-4, Claude. β€’ Familiar with big data technologies, open-source data processing frameworks. E.g., Spark, Hadoop, HBase, Elastic Search, Pig, Hive, and so on.