AI/ML Engineer-Generative AI
- In Time Tec
- 2 - 4 years
- Jaipur
- 2 months ago
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Job Description
In Time Tec is an award-winning IT & software company. In Time Tec offers progressive software development services, enabling its clients to keep their brightest and most valuable talent focused on innovation. In Time Tec has a leadership team averaging 15 years in software/firmware R&D, and 20 years building onshore/offshore R&D teams. We are looking for rare talent to join us. People having a positive mindset and great organizational skills will be drawn to the position. Your capacity to take initiative and solve problems as they emerge, flexibility, and honesty, will be key factors for your success at In Time Tec.
Job Overview:
The position requires an experienced and ambitious candidate who is passionate about technology and self-driven. We have an energeticworkplace where we welcome innovative ideas and offer growth opportunities and a positive environment for accomplishing goals.Our purpose is to create abundance for everyone we touch.
AI/ML Engineer - Generative AI
We are seeking a skilled and motivated AI/ML Engineer with expertise in Generative AI technologies to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with hands-on experience in developing and deploying innovative solutions using generative AI techniques. As an AI/ML Engineer, you will be responsible for building, optimizing, and maintaining AI-driven systems that drive creativity and innovation in various applications.
Roles and Responsibilities
Responsibilities:
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Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG).
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Implement scalable machine learning models and algorithms to solve complex challenges.
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Research and integrate the latest AI tools and frameworks into existing systems.
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Stay up-to-date with advancements in AI/ML research and apply them to practical problems.
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Experiment with and implement Generative AI technologies across multiple domains.
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Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments.
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Utilize open-source large language models (LLMs) such as LLama3 in AI application development.
Key Skills:
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Strong understanding of Agentic AI concepts and applications.
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Hands-on experience with Retrieval-Augmented Generation (RAG) models.
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Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
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Experience with Large language models (e.g., GPT-4, LLama, Amazon Bedrock) and integrating them into production systems.
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Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index.
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Experience in building and deploying AI/ML solutions using cloud platforms (AWS, GCP, Azure).
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Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques.
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Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
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Experience with model optimization, fine-tuning, and inference strategies to improve system performance.
Preferred Skills:
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Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design.
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Familiarity with containerization technologies (e.g., Docker, Kubernetes).
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Background in computer vision and image generation techniques.
If you're passionate about AI/ML and excited about contributing to the future of intelligent systems with Generative AI technologies, we encourage you to apply! Join us in shaping the next generation of AI-driven innovation.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: In Time TecLocation(s): Jaipur
Keyskills: deep learning frameworks generation kubernetes python natural language processing microsoft azure machine learning artificial intelligence docker deep learning data extraction tensorflow r concepts gcp computer vision pytorch data visualization aws programming ml
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