MUMBAI · FULLTIME
Artificial Intelligence Engineer
Pixeldust Technologies
Mumbai · onsite · Posted 71d ago
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Not disclosed3–5 yrsfulltimeMumbai
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Section · 01
About this role
Role Overview:
We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.
Key Responsibilities:
- Design, develop and deploy NLP and ML models for real world applications.
- Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
- Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
- Perform data preprocessing statistical analysis and experiment design to validate models.
- Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
- Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
- Continuously research and adopt state of the art techniques in NLP ML and LLMs.
Required Skills and Qualification:
- Proven experience as a AI Engineer having 3-4 years of experience with a strong focus on NLP and ML.
- Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
- Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
- Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
- Proficiency in data analysis statistics and experiment design.
- Strong understanding of cloud ML platforms - GCP preferred.
- Excellent problem solving analytical and communication skills.
- Strong debugging, troubleshooting, and problem-solving skills.
- Excellent collaboration abilities.
Good to Have Skills:
- Exposure to MLOps practices - CI CD for ML monitoring deployment.
- Experience with other cloud platforms - AWS and Azure.
- Knowledge of reinforcement learning and generative AI applications.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge security challenges.
- A collaborative and growth-oriented work environment with opportunities for career development.
Sourced from foundit
Section · 02
Skills
google cloud platformFAISSWeaviateHugging Face TransformersOpenAI SDKGoogle Vertex AIPytorchTensorflowLamaIndexPythonPinecone DBMilvusDBLangchain