Generative AI Engineer M/F

1 month ago

Bengaluru, India Akkodis Full time
Position description

Category

OPERATIONS - ENGINEERING/PRODUCTION

Job title

Generative AI Engineer M/F

Contract

Permanent contract

Job description

Responsibilities:Agent Development: Design and develop intelligent agents that can interact with users, understand complex tasks, and generate human like responses using LLMs and other AI techniques.Custom LLM development: Finetune and customize existing LLMs or build new models from scratch to address specific business needs and domains.Framework Expertise: Utilize and contribute to open-source or internal frameworks for LLM development, deployment, and management.Application development: Build applications that leverage generative AI capabilities, including chatbots, text generation tools, code generation tools and more.Deployment and Infrastructure: Deploy and manage AI services on AWS, ensuring scalability, reliability, and security.Collaboration: Work closely with cross functional teams, including data scientists, software engineers, and product managers, to understand requirement and develop successful AI solutions.Research and Development: Stay updated on latest advancements in generative AI and explore new technologies and techniques to improve the performance and capabilities of our AI systems.Requirements:Experience: 3-5 years of experience in developing and deploying AI solutions with a focus on generative AI and LLMsLLMs: Strong understanding of LLM architectures, training models, and applications. Experience with popular LLMs such as GPT-4, Llama-2, Llama-3, Gemini or similar benchmark models.Agent Frameworks: Proven ability to design and build intelligent agents using LLM and other AI techniques using Autogen, CrewAI, Autotrain,

Langchain

, Llama IndexProgramming: Proficiency in Python and experience with deep learning libraries like

TensorFlow or Pytorch.Cloud computing: Experience with AWS services like

EC2

, SageMaker, LambdaData pipeline technologies like Apache Kafka, AWS Kinesis and data storage solutions . (

S3

, Azure Blob Storage)Knowledge of MLOps practices and tools (.: Kubeflow, MLFlow, SageMaker, Azure ML)Rest API development using

Flask or DjangoBasic AI/ML skillsPython Libraries like Matplotlib, SciPy, PandasPattern recognition using ML models, CNN, Time-Series modelling, and custom trained

Transformer architectures.

Business Industry

Digital

Profile

Responsibilities:Agent Development: Design and develop intelligent agents that can interact with users, understand complex tasks, and generate human like responses using LLMs and other AI techniques.Custom LLM development: Finetune and customize existing LLMs or build new models from scratch to address specific business needs and domains.Framework Expertise: Utilize and contribute to open-source or internal frameworks for LLM development, deployment, and management.Application development: Build applications that leverage generative AI capabilities, including chatbots, text generation tools, code generation tools and more.Deployment and Infrastructure: Deploy and manage AI services on AWS, ensuring scalability, reliability, and security.Collaboration: Work closely with cross functional teams, including data scientists, software engineers, and product managers, to understand requirement and develop successful AI solutions.Research and Development: Stay updated on latest advancements in generative AI and explore new technologies and techniques to improve the performance and capabilities of our AI systems.Requirements:Experience: 3-5 years of experience in developing and deploying AI solutions with a focus on generative AI and LLMsLLMs: Strong understanding of LLM architectures, training models, and applications. Experience with popular LLMs such as GPT-4, Llama-2, Llama-3, Gemini or similar benchmark models.Agent Frameworks: Proven ability to design and build intelligent agents using LLM and other AI techniques using Autogen, CrewAI, Autotrain,

Langchain

, Llama IndexProgramming: Proficiency in Python and experience with deep learning libraries like

TensorFlow or Pytorch.Cloud computing: Experience with AWS services like

EC2

, SageMaker, LambdaData pipeline technologies like Apache Kafka, AWS Kinesis and data storage solutions . (

S3

, Azure Blob Storage)Knowledge of MLOps practices and tools (.: Kubeflow, MLFlow, SageMaker, Azure ML)Rest API development using

Flask or DjangoBasic AI/ML skillsPython Libraries like Matplotlib, SciPy, PandasPattern recognition using ML models, CNN, Time-Series modelling, and custom trained

Transformer architectures.

Position location

Job location

Asia Pacific, India, Karnataka, Bangalore

Location

BangaloreCandidate criteria

Level of experience

3 to 5 years

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