<p><p><b>Description :</b><br/><br/>Please read :<br/><br/>1.
This is a WFO opportunity for our Noida based office.
Do NOT apply if you are looking for a hybrid or WFH/remote opportunity.<br/><br/>2.
Preference will be given to candidates currently residing in NCR or have reason to relocate to NCR.<br/><br/>3.
We need a minimum of 4 years of current and relevant NLP & Generative AI experience.
Freshers or junior employees do NOT apply.<br/><br/>4.
If you have applied in the last 6 months, do NOT apply again.
<br/><br/><b>About Gigaforce :</b><br/><br/>Gigaforce is a California-based InsurTech company delivering a next-generation, SaaS-based claims platform purpose-built for the Property and Casualty industry.
</p><p><br/></p><p>Our blockchain-optimized solution integrates artificial intelligence (AI)-powered predictive models with deep domain expertise to streamline and accelerate subrogation and claims processing.
</p><p><br/></p><p>Whether for insurers, recovery vendors, or other ecosystem participants, Gigaforce transforms the traditionally fragmented claims lifecycle into an intelligent, end-to-end digital experience.<br/><br/>Recognized as one of the most promising emerging players in the insurance technology space, Gigaforce has already achieved significant milestones.
</p><p><br/></p><p>We were a finalist for InsurtechNY, a leading platform accelerating innovation in the insurance industry, and twice named a Top 50 company by the TiE Silicon Valley community.
</p><p><br/></p><p>Additionally, Plug and Play Tech Center, the world's largest early-stage investor and innovation accelerator, selected Gigaforce to join its prestigious global accelerator headquartered in Sunnyvale, California.<br/><br/>We're seeking an NLP & Generative AI Engineers with 2-8 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques.
</p><p><br/></p><p>If you have experience deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines, this is the role for you.
</p><p><br/></p><p>You'll work in a high-impact role, leading the design, development, and deployment of innovative AI/ML solutions for insurance claims processing and beyond.<br/><br/>In this agile environment, you'll work within structured sprints and leverage data-driven insights and user feedback to guide decision-making.
</p><p><br/></p><p>You'll balance strategic vision with tactical execution to ensure we continue to lead the industry in subrogation automation and claims optimization for the property and casualty insurance market.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Build and deploy end-to-end NLP and GenAI-driven products focused on document understanding, summarization, classification, and retrieval.<br/><br/>- Design and implement models leveraging LLMs (e.g., GPT, T5, BERT) with capabilities like fine-tuning, instruction tuning, and prompt engineering.<br/><br/>- Work on scalable, cloud-based pipelines for training, serving, and monitoring models.<br/><br/>- Handle unstructured data from insurance-related documents such as claims, legal texts, and contracts.<br/><br/>- Collaborate cross-functionally with data scientists, ML engineers, product managers, and developers.<br/><br/>- Utilize and contribute to open-source tools and frameworks in the ML ecosystem.<br/><br/>- Deploy production-ready solutions using MLOps practices : Docker, Kubernetes, Airflow, MLflow, etc.<br/><br/>- Work on distributed/cloud systems (AWS, GCP, or Azure) with GPU-accelerated workflows.<br/><br/>- Evaluate and experiment with open-source LLMs and embeddings models (e.g., LangChain, Haystack, LlamaIndex, HuggingFace).<br/><br/>- Champion best practices in model validation, reproducibility, and responsible AI.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- 2 to 8 years of experience as a Data Scientist, NLP Engineer, or ML Engineer.<br/><br/>- Strong grasp of traditional ML algorithms (SVMs, gradient boosting, etc.) and NLP fundamentals (word embeddings, topic modeling, text classification).<br/><br/>- Proven expertise in modern NLP & GenAI models, including :<br/><br/>o Transformer architectures (e.g., BERT, GPT, T5)<br/><br/>o Generative tasks : summarization, QA, chatbots, etc.<br/><br/>o Fine-tuning & prompt engineering for LLMs<br/><br/>- Experience with cloud platforms (especially AWS SageMaker, GCP, or Azure ML).<br/><br/>- Strong coding skills in Python, with libraries like Hugging Face, PyTorch, TensorFlow, Scikit-learn.<br/><br/>- Experience with open-source frameworks (LangChain, LlamaIndex, Haystack) preferred.<br/><br/>- Experience in document processing pipelines and understanding structured/unstructured insurance documents is a big plus.<br/><br/>- Familiar with MLOps tools such as MLflow, DVC, FastAPI, Docker, KubeFlow, Airflow.<br/><br/>- Familiarity with distributed computing and large-scale data processing (Spark, Hadoop, Databricks).<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Experience deploying GenAI models in production environments.<br/><br/>- Contributions to open-source projects in ML/NLP/LLM space.<br/><br/>- Background in insurance, legal, or financial domain involving text-heavy workflows.<br/><br/>- Strong understanding of data privacy, ethical AI, and responsible model usage.</p><br/></p> (ref:hirist.tech)