Gigaforce - Artificial Intelligence/Machine Learning Engineer - NLP System

7 days ago


Noida, Ghaziabad, India Gigaforce Full time

1. This is a WFO position - there is NO WFH or remote possibility

2. Do NOT apply unless you have 3 years of FULL TIME and RELEVANT experience. We are NOT looking for freshers or interns or junior resources.

3. Do NOT apply unless you are located in the Noida, NCR region.

About Us :

Gigaforce is a California based InsurTech provider of a SaaS-based, blockchain-optimized, claims platform which combines artificial intelligence (AI)-driven predictive models, specialized expertise, and customized services to expedite subrogation, recovery, and salvage processing for insurance ecosystems, including insurers, law firms, and third-party adjusters. Gigaforce is a force to reckon with and is one of the most promising Insurtech companies on the horizon.

Despite being young, we were one of the finalists in InsurtechNY, a highly-respected community based organization which accelerates insurance innovation in the New York metro area. We were also selected from a large base of Insurtech companies, by Plug and Play Tech Center, the world's largest early stage investor, accelerator, and corporate innovation platform with global headquarters in Sunnyvale, California, as part of their recent Fall batch.

We work on cutting edge, truly relevant technologies such as Artificial Intelligence, Machine Learning, Robotics Processing Automation, Blockchain, Big Data, Cloud Computing, Java, Kotlin, Angular, NodeJs, and many others.

We are thought leaders in the insurance-in-technology space and are committed to hiring the very best workforce to keep up with the pace of our rapidly growing company. We look forward to providing exceptional employee experiences where everyone is valued and all ideas are welcome. We are passionate about giving you an environment where you are inspired to explore your talents and constantly innovate.

Some of the best-in-class perks we offer include comprehensive medical insurance, paid time off, meals cards, a hybrid work model, ESOPs, an opportunity to work in the US, among others. As an equal opportunity employer, we welcome and encourage diversity in the workplace regardless of gender, race, color, ethnicity, origin, age, religion, sexual orientation or any other characteristics protected by law.

We are seeking an NLP Engineer to join our team at Gigaforce. If you are fascinated by the potential of Natural Language Processing (NLP) and its impact on AI and data-driven solutions and if you thrive on tackling complex challenges and working collaboratively with cross-functional teams, then this role is for you.

Our team is focused on building solutions for the Gigaforce Platform, a leading edge in the AI landscape. We value teamwork, and we are looking for individuals who can take the lead and approach challenges creatively. Our work involves solving real-world business problems, and we actively engage with our users, as well as the strategy and sales teams, to ensure our solutions are effective and impactful.

Job Responsibilities :

- As an NLP Engineer, you will be an integral part of our cross-functional team, which includes data scientists, machine learning engineers, and software developers.

- You'll be responsible for building NLP-driven products and services within our organization, which is focused on cutting-edge AI and data solutions.

- Your work will involve collaborating on the implementation of state-of-the-art NLP models like BERT, T5, GPT and others.

- Additionally, you'll be working on modeling techniques to support a full spectrum of LLM tuning, from prompt engineering and instruction tuning to fine-tuning.

- Developing scalable, efficient, and automated processes for large-scale data analysis, machine learning model development, validation, and serving will be an essential aspect of your role.

- Your expertise will be sought after as you work closely with the product and engineering teams, gathering detailed requirements, developing technical designs, and implementing end-to-end production systems.

- Working with data science cloud compute platforms - distributed computing, GPU, cloud platforms and Big Data (e.g. GCP, AWS, MS Azure, Hadoop, Spark, databricks).

- Working with Git and modern software development lifecycle (MLflow, DVC, Apache Airflow, AWS, API (FastAPI, FLASK API, MLops).

- Working with containerization such as Docker, kubeflow. Agile way of working.

- Working with multiple machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, PyTorch, CNTK, MLlib,Cuda) is required.

- Examples of relevant modeling techniques include gradient boosting, support vector machine, topic modeling, word embedding, transformers, CNN, LSTM,RNN, time-series analysis, multi-arm bandit, GAN ( Text and Image Data Modelling Expert).

- Examples of domain expertise in which we are interested are: Insurance (time series forecasting, computer vision, segmentation, graph analytics, natural language processing and text analytics.

- HandsOn - Text Analytics Expert). Leading and collaborating on strategic initiatives.

Job Requirements :

- You should have 3-5 years of prior work experience as a data scientist or machine learning engineer, preferably working with NLP systems.

- NLP Expertise : A deep understanding of modern NLP systems, including word embeddings, transformer architectures, and software design principles is essential for this role.

- Technical Skills : You should have hands-on experience in areas such as Generative AI, Large Language Models (LLMs) applications, Information Retrieval, Machine Comprehension, and Question Answering/Conversational AI.

- Cloud : preference will be to have AWS sagemaker experience.

- Passion for Innovation : We are looking for individuals who are passionate about staying up-to-date with the latest advancements in AI and machine learning and are eager to drive innovation within the field.

- Collaborative Spirit : Strong collaboration skills are key as you'll be closely working with a diverse set of data scientists, developers, product managers, and business stakeholders to identify needs and deliver cutting-edge AI/ML solutions.

(ref:hirist.tech)

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