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4+ SciPy Jobs in India

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DocNexus
Mahek Chhatrapati
Posted by Mahek Chhatrapati
Remote only
5 - 10 yrs
₹32L - ₹40L / yr
AngularJS (1.x)
Angular (2+)
React.js
NodeJS (Node.js)
MongoDB
+22 more

DocNexus is revolutionizing the global medical affairs & commercial ecosystem with search. We provide a next-generation data platform that simplifies searching through millions of insights, publications, clinical trials, payments, and social media data within seconds to identify healthcare professionals (HCPs), products, manufacturers, and healthcare systems. Leveraging AI-powered Knowledge Graphs, DocNexus assists life science organizations in finding the right key opinion leaders (KOL/DOLs) who play a crucial role in developing and bringing life-saving pharmaceutical products and medical devices to market. Backed by industry leaders such as Techstars, JP Morgan, Mass Challenge, and recognized as one of the Top 200 Most Innovative Startups by TechCrunch Disrupt, we are committed to transforming healthcare insights. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team and contribute to the efficient development, deployment, and maintenance of our platform.


We are looking for a visionary Sr. Full Stack Engineering Lead who is passionate about building and leading our technology department. The ideal candidate will have a solid technical background and experience in leading a team to drive innovation and growth. As Engineering Lead, you will oversee the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase business.


Leadership and Strategy:

  • Lead the engineering team and make strategic decisions regarding the technology stack, project management, and resource allocation.
  • Establish the company’s technical vision and lead all aspects of technological development.

Development:

  • Develop and maintain the front-end and back-end of web applications.
  • Ensure the performance, quality, and responsiveness of applications.
  • Collaborate with a team to define, design, and ship new features.

Maintenance and Optimization:

  • Maintain code integrity and organization.
  • Identify and correct bottlenecks and fix bugs.
  • Continually work on optimizing the performance of different applications.

Security: Ensure the security of the web applications by integrating security best practices.

  • Regularly update the system to protect against vulnerabilities.

Innovation:

  • Research and implement new technologies and frameworks that can improve the performance and user experience of the platform.
  • Stay informed on emerging technologies and trends that can potentially impact the company's products and services.

Collaboration and Communication:

  • Work closely with other departments to understand their needs and translate them into technical solutions.
  • Communicate technology strategy to partners, management, investors, and employees.

Project Management:

  • Oversee and support project planning, deadlines, and progress.
  • Ensure that the technology standards and best practices are maintained across the organization.

Mentoring and Team Building:

  • Foster a culture of innovation and excellence within the technology team.
  • Mentor and guide the professional and technical development of team members.

Front-End Development:

  • HTML/CSS: For structuring and styling the web pages.
  • JavaScript/TypeScript: Core scripting language, along with frameworks like Angular, React, or Vue.js for dynamic and responsive user interfaces.

Back-End Development:

  • Python: Using frameworks like Django or Flask for server-side logic.
  • Node.js: JavaScript runtime environment for building scalable network applications.
  • Ruby on Rails: A server-side web application framework written in Ruby.

Database Management:

  • SQL Databases: MySQL, PostgreSQL for structured data storage.
  • NoSQL Databases: MongoDB, Cassandra for unstructured data or specific use cases.

Server Management:

  • Nginx or Apache: For server and reverse proxy functionalities.
  • Docker: For containerizing applications and ensuring consistency across multiple development and release cycles.
  • Kubernetes: For automating deployment, scaling, and operations of application containers.

DevOps and Continuous Integration/Continuous Deployment (CI/CD):

  • Git: For version control.
  • Jenkins, Travis CI, or CircleCI: For continuous integration and deployment.
  • Ansible, Chef, or Puppet: For configuration management.

Cloud Services:

  • AWS: For various cloud services like computing, database storage, content delivery, etc.
  • Serverless Frameworks: Such as AWS Lambda or Google Cloud Functions for running code without provisioning or managing servers.

Security:

  • OAuth, JWT: For secure authentication mechanisms.
  • SSL/TLS: For secure data transmission.
  • Various Encryption Techniques: To safeguard sensitive data.

Performance Monitoring and Testing:

  • Selenium, Jest, or Mocha: For automated testing.
  • New Relic or Datadog: For performance monitoring.

Data Science and Analytics:

  • Python Libraries: NumPy, Pandas, or SciPy for data manipulation and analysis.
  • Machine Learning Frameworks: TensorFlow, PyTorch for implementing machine learning models.

Other Technologies:

  • GraphQL: For querying and manipulating data efficiently.
  • WebSockets: For real-time bi-directional communication between web clients and servers.
Read more
Outplay
Oiendrila Lodh
Posted by Oiendrila Lodh
Remote only
4 - 7 yrs
₹20L - ₹40L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Speech recognition
+3 more
Who we are?
Outplay is building the future of sales engagement, a solution that helps sales teams personalize at scale while consistently staying on message and on task, through true multi-channel outreach including email, phone, SMS, chat and social media. Outplay is the only tool your sales team will ever need to crush their goals. Funded by Sequoia - Headquartered in the US. Sequoia not only led a $2 million seed round in Outplay early this year, but also followed with $7.3 million Series - A recently. The team is spread remotely all over the globe.

Perks of being an Outplayer :
• Fully remote job - You can be on the mountains or at the beach, and still work with us. Outplay is a 100% remote company.
• Flexible work hours - We believe mental health is way more important than a 9-5 job.
• Health Insurance - We are a family, and we take care of each other - we provide medical insurance coverage to all employees and their family members. We also provide an additional benefit of doctor consultation along with the insurance plan. 
• Annual company retreat - we work hard, and we party harder.
• Best tools - we buy you the best tools of the trade
• Celebrations - No, we never forget your birthday or anniversary (be it work or wedding) and we never leave an opportunity to celebrate milestones and wins.
• Safe space to innovate and experiment
• Steady career growth and job security

About the Role:
We are looking for a Senior Data Scientist to help research, develop and advance the charter of AI at Outplay and push the threshold of conversational intelligence.

Job description :
• Lead AI initiatives that dissects data for creating new feature prototypes and minimum viable products
• Conduct product research in natural language processing, conversation intelligence, and virtual assistant technologies
• Use independent judgment to enhance product by using existing data and building AI/ML models
• Collaborate with teams, provide technical guidance to colleagues and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
• Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
• Prototype and demonstrate AI augmented capabilities in the product for customers
• Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
• Assist business development teams in the expansion and enhancement of a feature pipeline to support short and long-range growth plans
• Identify new business opportunities and prioritize pursuits of AI for different areas of conversational intelligence
• Build reusable and scalable solutions for use across a varied customer base
• Participate in long range strategic planning activities designed to meet the company’s objectives and revenue goals

Required Skills :
• Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
• 4+ years of experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
• Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
• Excellent grasp on programming languages like Python. Experience in GoLang would be a plus.
• Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
• Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
• Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
• Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
• Extensive experience of training and deploying different Machine Learning models
• Experience in monitoring deployed models to proactively capture data drifts, low performing models, etc.
• Exposure to Deep Learning, Neural Networks or related fields
• Passion for solving AI/ML problems for both textual and voice data.
• Fast learner, with great written and verbal communication skills, and be able to work independently as
well as in a team environment
Read more
Semperfi Solution

at Semperfi Solution

1 recruiter
Ambika Jituri
Posted by Ambika Jituri
Bengaluru (Bangalore)
5 - 9 yrs
₹10L - ₹18L / yr
Python
Django
SQL
TensorFlow
NumPy
+2 more

Job Description

JD - Python Developer 

Responsibilities

  • Design and implement software features based on requirements
  • Architect new features for products or tools
  • Articulate and document designs as needed
  • Prepare and present technical training
  • Provide estimates and status for development tasks
  • Work effectively in a highly collaborative and iterative development process
  • Work effectively with the Product, QA, and DevOps team.
  • Troubleshoot issues and correct defects when required
  • Build unit and integration tests that assure correct behavior and increase the maintainability of the code base
  • Apply dev-ops and automation as needed
  • Commit to continuous learning and enhancement of skills and product knowledge

 

Required Qualifications

  • Minimum of 5 years of relevant experience in development and design
  • Proficiency in Python and extensive knowledge of the associated libraries Extensive experience with Python data science libraries: TensorFlow, NumPy, SciPy, Pandas, etc.
  • Strong skills in producing visuals with algorithm results
  • Strong SQL and working knowledge of Microsoft SQL Server and other data storage technologies
  • Strong web development skills Advance knowledge with ORM and data access patterns
  • Experienced working using Scrum and Agile methodologies
  • Excellent debugging and troubleshooting skills
  • Deep knowledge of DevOps practices and cloud services
  • Strong collaboration and verbal and written communication skills
  • Self-starter, detail-oriented, organized, and thorough
  • Strong interpersonal skills and a team-oriented mindset
  • Fast learner and creative capacity for developing innovative solutions to complex problems

Skills

PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas

Read more
contract intelligence platform
Pune
12 - 20 yrs
₹50L - ₹100L / yr
Data Science
Natural Language Processing (NLP)
Machine Learning (ML)
Algorithms
Python
+5 more
Responsibilities
  • Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
  • Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
  • Own the end-end process, from recognizing the problem to implementing the solution.
  • Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
  • Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

Skills and Qualification
  • 12 to 15 yrs of experience.
  • An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
  • Experience with text mining, parsing, and classification using state-of-the-art techniques.
  • Experience with information retrieval, Natural Language Processing, Natural Language
  • Understanding and Neural Language Modeling.
  • Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
  • Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
  • Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
  • Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Read more
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