Machine Learning Research Engineer

FirstFiling is a FinTech startup that is managed, operated, and driven by Chartered Accountants, Company secretaries, IT engineers, and Lawyers. We provide registration and financial compliance services to businesses and individuals across India.

Our aim is to simplify the lives of people by helping individuals and businesses with mandatory compliances, filings, and statutory requirements while promoting financial literacy among the masses. 

 

Role: Backend Developer (2 openings)

Technology Profile-

The candidate must have experience in the following technologies (the more the better):

Backend:

Languages and Frameworks: PHP, NodeJS, Python, etc.

Database: MySQL, MongoDB, MariaDB, Neo4j, etc.

Extra: OAuth, Firebase

 

Requirements:

• Ability to reuse components
• Proven experience in working with Git and Github 
• Creating and consuming a RESTful API
• You must have clear concepts of client-server architecture
• Familiarity with MVC (Model-View-Controller) design patterns
• Working experience with NoSQL and relational databases
• Understanding of OOP concepts

 

Furthermore, the candidate must have built or published any web app or project through which they can demonstrate their experience and knowledge of the aforementioned technologies and requirements. 

The Director for Data Science will support building of AI products in Agile fashion that
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support 
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.

• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership

The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions

• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials

Location : Titlagarh/Khariar/Sundargarh/Rourkela/Jharsuguda/Nuapada/Debagarh/Bargarh/Sundargarh- Manage sales operations in assigned district to achieve revenue goals.- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.- Identify skill gaps and conduct trainings to sales team.- Work with team to implement new sales techniques to obtain profits.- Assist in employee recruitment, promotion, retention and termination activities.- Conduct employee performance evaluation and provide feedback for improvements.- Contact potential customers and identify new business opportunities.- Stay abreast with customer needs, market trends and competitors.- Maintain clear and complete sales reports for management review.- Build strong relationships with customers for business growth.- Analyze sales performances and recommend improvements.- Ensure that sales team follows company policies and procedures at all times.- Develop promotional programs to increase sales and revenue.- Plan and coordinate sales activities for assigned projects.- Provide outstanding services and ensure customer satisfaction.

Job Description : As a Devops Engineer you will work broadly across the software development lifecycle. We are a close-knit and high performant team. Skills include deploying on AWS using Docker, ECS via CI/CD cloud frameworks and DataDog. Responsibilities Collaborate with development teams working on mobile apps. Write and maintain infrastructure-as-code on AWS Configure, secure, and optimize deployments of EC2, ECS, RDS, VPC, S3, LB, Cloudfront, API Gateway, ELB, Lambda, and more. Proactively monitor performance and stability of our cloud platform serving a global Ensure 24X7 security for all cloud related services. Automate all aspects of the software development lifecycle with a focus on agility Requirements 3+ years working with AWS to serve live, customer-facing applications Demonstrable Python skills (or another high-level language) Excellent written and verbal communication, and a collaborative approach. This is a team-player role. Solid Linux system administration, troubleshooting and performance analysis skills Good to have Skills Experience managing highly-available, customer-facing environments on AWS or another cloud PaaS Troubleshooting and performance tuning of microservice deployments Linux containers and/or serverless application models Experience with operations – incident triage, response, and analysis We love generalists. You should have hands-on skills with at least 50% (75% for Senior level) of the following: Apache, Nginx, Memcached, Redis, ElasticSearch, CDNs, Hadoop, Docker, AWS Lambda, Vagrant, Network Analysis Tools, Linux, NFS, Glusterfs, AWS APIs and CLI Tools, EC2 Autoscaling, Ruby, Python, Bash, Jenkins, Haproxy, Git, SVN, DNS, HTTP Headers, HTTP Caching, SSL, RESTFUL APIs, MySQL, PostgreSQL, RDS, Nagios, Graphite, Cassandra, MongoDB, Puppet/Chef/Ansible/Saltstack Professional software development experience is a plus

Desihands is a market place for handcrafted products made by gifted artisans from all over the country. These products are directly sold by artisans while Desihands remains a mere platform that provides complete technical support and enables them to meet potential buyers. The Desihands policy is very simple: Build a brand around your product, enlist your product, sell it and get your money. Desihands also looks to collaborate with NGOs, cooperative societies and self-help groups to enable them to promote and sell their products.