Website:
basebiz.in
Job details:
Job Title: Machine Learning Engineer – Generative AI
Location: Bangalore, India
Employment Type: Full-Time
Experience: Minimum 7 years
Notice Period: Immediate joiners preferred
Role SummaryWe are seeking a Machine Learning Engineer – Generative AI to design, develop, and deploy AI models and solutions, including Generative AI applications, to solve real-world business problems. This role involves hands-on coding, model training, and integration into production systems.
Key Responsibilities- Design, build, and fine-tune machine learning, deep learning, and Generative AI models.
- Develop Agentic AI systems using frameworks such as ADK, LangGraph, or AutoGen.
- Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector databases.
- Implement AI systems for text, structured/unstructured data, and conversational use cases.
- Apply core NLP techniques (classification, summarization, entity recognition, semantic search).
- Develop scalable algorithms for search, retrieval, and real-time inference.
- Integrate AI microservices into enterprise systems using APIs, event-driven architectures, and cloud services.
- Deploy workloads using Docker, Kubernetes, and cloud AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
- Optimize solutions for performance, cost, latency, and security.
- Collect, preprocess, and manage large datasets for fine-tuning and inference.
- Continuously monitor and optimize models and prompts for accuracy and scalability.
- Collaborate with Solution Architects and business teams to deliver production-ready AI solutions.
- Champion Responsible AI practices including fairness, bias mitigation, and compliance.
Required Skills- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch).
- Strong understanding of Generative AI concepts (transformers, embeddings, fine-tuning).
- Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen).
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and RAG pipelines.
- Hands-on with cloud-native AI deployments.
- Familiarity with API-driven design, microservices, and event-driven architectures.
Qualifications- Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field.
- 3–9 years of experience in AI/ML development and deployment.
- Hands-on experience with LLMs and Generative AI applications.
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