AI/ML Engineer

2 days ago

Amrāvati, India Kreeda Labs Full time

Job Role: AI/ML Engineer Job Type: Permanent Full time Location: Pune (Hybrid) Notice Period: Immediate Joiners Experience: 1.5 - 4 years Job Description: We are seeking a highly skilled AI/ML Engineer with strong hands-on experience in Machine Learning, Deep Learning, and advanced GenAI solution development. The ideal candidate has built end-to-end ML/DL models, implemented GenAI systems (RAG, LLM orchestration), and deployed solutions at scale on cloud platforms. This role involves applying in-depth engineering principles, building scalable AI systems, experimenting with new GenAI technologies, and taking complete ownership of AI-driven initiatives. Key Responsibilities - Design, build, and deploy end-to-end ML and DL models for production use cases. - Develop advanced GenAI solutions using Lang Chain, Lang Graph, Llama Index, vector databases (FAISS, Pinecone, Weaviate, etc.), and RAG-based architectures. - Create Agentic AI workflows to automate reasoning and task execution. - Build cloud-native AI pipelines (AWS/GCP/Azure), including model training, optimization, deployment, and monitoring. - Work hands-on with data - sourcing, cleaning, preprocessing, and feature engineering. - Develop backend components to integrate AI models with microservices and production systems. - Rapidly prototype GenAI and ML features and convert research into deployable systems. - Collaborate with engineering, product, and client teams to deliver reliable AI solutions. - Continuously explore emerging ML/DL and GenAI technologies to improve internal capabilities. Experience & Qualifications Must Have: - 2-4 years hands-on experience in Machine Learning and Deep Learning projects. - Proven track record of building and deploying ML/DL models in real-world applications. - Strong expertise in GenAI ecosystems: Lang Chain Lang Graph RAG pipelines Vector databases Agentic AI workflows - In-depth experience with Python, NumPy, Pandas, Scikit-learn, Py Torch or Tensor Flow - Understanding of Transformers, LLMs, embeddings, and fine-tuning techniques. - Solid knowledge of ML Ops practices (training pipelines, versioning, CI/CD for ML). Good to Have: - Experience with Snowflake or similar data platforms. - Advanced Computer Vision model development. - Cloud deployment expertise (AWS/GCP/Azure). - Strong mathematical foundation: statistics, linear algebra, optimization.

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