Machine Learning Specialist - NLP/Artificial Intelligence (5-7 yrs)

About Searce.

- Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.

We are a category defining niche' cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work.

We partner with clients in their 'beyond x' journey to drive intelligent, impactful & futuristic business outcomes.

We are the most preferred tech partner of choice when it comes to 'solving for better' for the new-age tech startups & digital enterprises, leading disruption in their industries.

Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services.

As one of the top 5 niche' full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred 'engineering-led' tech company of choice when it comes to solving complex business problems.

Job Responsibilities

- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

- Managing available resources such as hardware, data, and personnel so that deadlines are met.

- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.

- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

- Knowledge sharing with the team to adopt best practices, actively contribute to and re-use community best practices.

- Verifying data quality, and/or ensuring it via data cleaning.

- Supervising the data acquisition process if more data is needed.

- Finding available datasets online that could be used for training.

- Defining validation strategies.

- Understanding DocAI and vision API.

- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.

- Defining the preprocessing or feature engineering to be done on a given dataset.

- Establishing scalable, efficient, automated processes for data analyses, model development.

- Utilizing your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.

- Defining data augmentation pipelines.

- Training models and tuning their hyperparameters.

- Analyzing the errors of the model and designing strategies to overcome them Deploying models to production.

- Knowledge and understanding of GCP Ecosystem.

Qualification :

- BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling.

- 4+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus.

- Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop.

- Experience with writing complex programs and implementing custom algorithms in these and other environments.

- Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks.

- Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains.

- Research and implement novel machine learning and statistical approaches.

- Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus.

- Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team.