Key Responsibilities:
➢ Develop and integrate AI-based solutions using LLMs, prompt engineering, fine-tuning and model optimization.
➢ Work on end-to-end AI workflows — data preprocessing, training, evaluation, deployment, monitoring & scaling.
➢ Build scalable microservices, APIs and automation pipelines around AI/ML systems. ➢ Research and experiment with latest GenAI models, frameworks, vector DBs & inference systems.
➢ Create clean, well-documented code with clear architecture, flowcharts, datasets & experiment tracking.
➢ Optimize model latency, cost & performance using quantization, batching, caching, etc. ➢ Implement evaluation frameworks, benchmarking & continuous improvement for AI systems.
➢ Participate in collaborative discussions, brainstorming & contribute to product vision and roadmap.
➢ Stay up-to-date with emerging AI technologies; explore new tools, frameworks & research papers.
➢ Protect confidential data & ensure responsible use, ethical AI and security compliance.
➢ Contribute to organization goals by completing assigned deliverables on time with quality.
Required Skills & Qualifications:
➢ Bachelor’s/Master’s degree in CSE, IT, AI, Data Science or equivalent.
➢ Good understanding of Machine Learning fundamentals, Python programming & data structures.
➢ Knowledge of LLMs, NLP techniques, embeddings, vector search systems.
➢ Familiarity with AI frameworks like PyTorch, TensorFlow, Keras, Transformers (Hugging Face).
➢ Ability to work with APIs, datasets, pipelines & cloud compute for model training or inference. www.wohlig.com Experience (project/internship) with one or more GenAI tasks: ➢ Prompt engineering
➢ Model fine-tuning / RAG
➢ Text, speech, or image generation
➢ Good understanding of databases – SQL/NoSQL; familiarity with Vector DBs is a plus.
➢ Hands-on learning mindset — POC building, AI tool experimentation, hackathon participation.
➢ Ability to document requirements, model architectures, experiments, and results clearly. Good to Have (Not mandatory but preferred):
➢ Knowledge of LangChain, LlamaIndex, RAG architecture.
➢ Experience deploying AI apps on GCP/AWS/Azure or using serverless compute.
➢ Understanding of CI/CD, Docker, Kubernetes, scalable API design.
➢ Contributions to open-source AI projects or participation in AI research.
Contact us on 9975309744
Pay: ₹400,000.00 - ₹1,000,000.00 per year
Ability to commute/relocate:
- Mumbai, Maharashtra (Mumbai, Mumbai District): Reliably commute or willing to relocate with an employer-provided relocation package (Required)
Education:
Work Location: In person
