Machine Learning Engineer

at Essenvia

DP
Posted by Basant Sahoo
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Bengaluru (Bangalore)
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3 - 6 yrs
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₹12L - ₹20L / yr
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Full time
Skills
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
Optical character recognition
Text mining
Neo4J
Elastic Search

Essenvia is an cloud based SaaS platform that helps medical device companies reduce the time and cost of bringing Medical Devices to market. It’s product suite includes collaborative multiuser  platform to prepare regulatory submissions, document management system, streamline the Medical Device regulatory pathway.

We are looking for a savvy Machine learning Engineer to join our team based out of Bangalore. The hire will be responsible for creating and managing proprietary data set for machine learning algorithms using various conventional and non-conventional data sources. The Engineer will support initiatives and will ensure optimal data delivery architecture for machine learning models. The right candidate will be excited by the prospect of becoming a key member in designing the data architecture to support our next generation of products, must be self-driven and  able to work on tight time line in start-up culture


Responsibilities
---------------------

Extract key information from various data sources

Process documents using OCR and extract key entities
Extract blocks of relevant texts using pattern recognition

Prepare structured and unstructured data pipeline for machine learning models
Assemble large, complex data sets using various data sets.


Mandatory Skills
---------------------

Knowledge of algorithm and data structure
Programming Knowledge in Python and Java
Knowledge of Text mining/ Text extraction/ Regex matching
Knowledge of OCR

Experience in data cleaning, ETL, pipeline building and model-maintenance using Airflow
Knowledge Elastic search, Neo4j and GraphQL




Desirable Skills
-----------------


Knowledge of NLP
Knowledge of preparing and using custom corpora

Prior experience in medical science datasets

Exposure to Deep Learning applications and tools like TensorFlow, Theano is preferred

About Essenvia

We live in a world where proactive and an ongoing awareness of medical conditions is paramount. This means more modern medical technology to better monitor and diagnose medical conditions for our ongoing well-being. Yet, the current pace of bringing medical devices to market takes 3-7 years – reason is managing a challenging, complex and hyper specialized regulatory workflow that is prone to errors. For e.g. With over 1000+ pages regulatory applications have grown in complexity and size, with a consistent 30% rejected at initial review and 64% sent back for additional information costing the industry billions of dollars each year. All this ultimately increasing the healthcare burden and accessibility of the medical devices. Essenvia’s mission is reduce errors and improve the quality of activities in the regulatory pathway to help medical device companies accelerate their regulatory journey to market so devices can reach patients who need them faster. We’re a rapidly growing team that is backed by capital from leading investors in the B2B SaaS enterprise space.

As one of the early hires at Essenvia, you will be working very closely with the founding team and influencing key decisions that will drive the company’s vision forward. You will enjoy a great level of autonomy with plenty of learning while solving one of the most important problems. You will have first hand opportunity to make an impact directly to the product roadmap, growth of the company and experience the impact you create in medical device industry and healthcare . 

At Essenvia you will have daily opportunities to learn and inspire those around you. You will be surrounded by a team of self-starters who are motivated to have an impact through driving results.
Founded
2018
Type
Product
Size
0-20 employees
Stage
Raised funding
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https://workable.com/nr?l=https%3A%2F%2Fwww.zycus.com%2Fcompany%2Fcareers.html" target="_blank">Know more about the LEADER of: https://workable.com/nr?l=http%3A%2F%2Fcampaign.zycus.com%2FGMQ2017" target="_blank">Gartner’s 2013, 2015 & 2017 Magic Quadrant for Strategic Sourcing Application Suites and https://workable.com/nr?l=http%3A%2F%2Fcampaign.zycus.com%2FThe-Forrester-Wave-eProcurement-Q2-2017-Zycus-Named-a-Leader" target="_blank">The Forrester Wave™: eProcurement, Q2 2017

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Role : Data Scientist

Location : Bangalore

 

Education : Any Engineering From IIT ,NIT , IIIT ,VIT , BITS Pilani

 

Please carry your original ID proof along with Hard Copy of Resume

Requirements

We are especially looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. If you are passionate about research and developing innovative technologies of interest to Zycus and the research community at large, the BigData Experience Lab may be the right place for you.

All successful candidates are expected to dive deep into problem areas of Zycus’s interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage Zycus

Skills

Data Scientist will report in to Director Engineering - Data Scentist & the roles & responsibilities are as below:

  • Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
  • Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
  • Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
  • Analyze data for trends and patterns, and Interpret data with a clear objective in mind
  • Implement analytical models into production by collaborating with software developers and machine learning engineers.
  • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Benefits :

Along with a competitive compensation structure, Zycus believes in an open culture learning environment, where everyone gets a chance to share their ideas and deliver par excellence. https://workable.com/nr?l=http%3A%2F%2Fwww.zycus.com%2Fcareers" target="_blank">Here's a sneak peek to our life at Zycus. 

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Priyanka S
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