Job Location: Kolkata, Pune, Chennai, Bangalore/Bengaluru, Delhi / NCR, Mumbai (All Areas)
Greetings From Srijan Technologies pvt. Ltd.!!
Company Introduction:-
About Us:
Srijan is a global engineering firm that builds transformative digital paths to better futures for Fortune 500 enterprises and nonprofits all over the world. Headquartered in India, Srijan operates in 9 countries, including Singapore, the Philippines, Malaysia, Hong Kong, the USA, UK, Germany, Australia, and Japan. The company has championed open-source technologies over the last two decades, bringing advanced engineering capabilities and agile practices to some of the biggest names across Media, BFSI, FMCG, Aviation, Telecom, Technology, and others.
Srijan started off with specializing in building PHP-based open-source content management systems (CMS), specifically in Drupal. Now, we build and modernize digital systems, by leveraging cloud, data, API, and platform centric technologies to help enterprises adapt to changing business models and market demands. We create feature-rich platforms for experience, engagement, collaboration, and insight- designed to be high-performing, digitally transformative, scalable, and secure.
Srijan works largely with enterprises or mid-large-sized global firms and focuses on recurring business from these accounts, thereby bringing much-needed predictability of revenue for high-growth companies. Our teams bring on board a unique mix of technical expertise and business acumen, to understand and deliver exactly what your business needs. Srijan leads in Drupal with 350+ Drupal engineers, 75+ Acquia certified Drupal developers and is amongst the 4th globally. With preferred partnerships with Acquia, advanced consulting partners with AWS, Google Apigee, and services relationship with VMWare, Srijan offers the best technology stack in the market.
What you will get:
1. Competitive Salaries with flexi benefits
2. Group Mediclaim Insurance and Personal Accidental Policy
3. 30+ Paid Leaves in a year
4. Learning and Development of quarterly budgets for certification
Senior Data Scientist :
Experience – 3 to 8
Role:
A Senior Data Scientist with AI/ML (primary focus) skill sets to work on an exciting boutique Data Science team
Responsibilities:
Ability to understand a business problem and the available data and identify what techniques can be applied to answer the business questions
Given a business problem, estimate solution feasibility and potential approaches based on available data
Quickly prototype solutions and build models to test feasibility of solution approach
Build statistical models, train and test them to and drive towards the optimal level of model performance
Develop robust, scalable and production grade data pipelines and machine learning models to answer key business problems against big, small or huge volumes of diverse range of data sets.
Build scalable AI / ML: solutions as appropriate – may depend on the requirements and will span NLP, Computer / Machine Vision, Clustering, Segmentation, Deep Learning etc.
Writing reusable piece of code following best software engineering practices accommodating common design patterns and OOPS
Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
Work in highly collaborative teams that strive to build quality systems and provide business value
Work closely with clients, both in the Business Domain and with Technical staff members
Skills:
2+ years of relevant experience in a delivery focused team
Strong coding ability in Python, and general software development skills (source code management, debugging, testing, deployment, etc.) is a must
Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques
Understanding of databases (RDBMS, NOSQL) from a perspective how to write optimized queries and pull data from them is essential
Experience across Structured, Semi-Structured and Unstructured data along with the appropriate modeling techniques based on the business requirements
Knowledge of both traditional as well awareness with existing state of the art methods in Machine Learning, NLP, Document Classification, Transfer Learning, Information Extraction and Retrieval with a proven track record of applying them to real problems.
Experience in Computer Vision techniques – processing and handling of images and videos, as well as detection / classification techniques
Experience in cloud computing like AWS is a plus
Experience in microservice based architectures with model containerization using Docker is a must (Kubernetes experience will be an added advantage)
Ability to communicate the requirements and deliverables effectively to both technical teams as well as non-technical domain specialists
Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment
Strong verbal and written communication skills to establish proper communications within the team and clients
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