About LodgIQ
LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.
Title : Data Scientist
Job Description:
- Apply Data Science and Machine Learning to a REAL-LIFE problem - “Predict Guest Arrivals and Determine Best Prices for Hotels”
- Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
- Help scale up the product in a global offering across 100+ global markets
Qualifications:
- Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization. Student projects are acceptable.
- At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
- Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
- Solid grasp over optimization techniques
- Master's or PhD degree in Business Analytics. Data science, Statistics or Mathematics
- Ability to show a track record of solving large, complex problems
About LodgIQ
Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the travel industry by incorporating machine learning and artificial intelligence to advance precise forecasting and optimized pricing. For more information, visit http://www.lodgiq.com" target="_blank">http://www.lodgiq.com
Backed by Highgate Ventures and Trilantic Capital Partners, LodgIQ is a well-funded young company, seeking a motivated and entrepreneurial Data Engineer to join its Data Science team in Silicon Valley. Qualified A+ candidates will be offered an excellent compensation and benefit package.
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We are looking for a Head of AI/ML to lead our data science research team and build innovative ML-powered applications. As a Head of AI/ML at Tvarit, you will have the opportunity to grow as a researcher and to steer the company’s overall artificial intelligence efforts, creating a more formal path for ML experimentation, development, and product realization. By collaborating with other leaders in engineering, product and design, you will align product needs with new areas of research and innovation that support ML efforts across the company, both in the near-term and long-term.
Key work responsibilities
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Provide leadership to a team of 5+ data scientists and engineers within our center of excellence for AI & ML.
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Identify and translate business needs into clearly scoped data science projects and take a hands-on approach to steer solution design and implementation.
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Help build world-class products to secure the company’s unique position in the market.
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Create a vision and a strategic roadmap of AI & ML within the company including the strategy to secure patents for the company.
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Plan and prioritize research activities across the data team with a results-focused approach
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Build a team of ML and data science researchers through effective hiring and mentoring with a focus on cultivating talent and instilling data-driven values in a fast-paced environment.
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Collaborate with engineering, product, design, and business leaders to ensure that work is aligned with the company’s mission and goals
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Carry out AI research with world's renowned professors from Tvarit's partner universities such as IITs, TU Darmstadt, TU Munich, and Stanford
Your background
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Ph.D. or MSc in a quantitative field such as Statistics, Mathematics, Operations Research, Econometrics, Computer Science, or Engineering
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Successful track record building Machine Learning / Statistical Models. 5+ years experience preferred
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Extensive 2+ years of experience preferred experience managing and developing a team of data scientists and machine learning engineers.
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Proven track record writing production-grade ML applications in Python. Proficient using SQL.
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Deep understanding of advanced ML concepts (e.g. Deep Learning, Bayesian statistics).
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Experience with agile methodologies such as Scrum & Kanban and proficiency in using project management tools. Jira preferred.
Preferred Skills
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Experience in fast-growing data-driven startups.
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Experience with ideation and innovation of technology at scale, successfully producing intelligent software products and features within strict timelines.
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Experience with production-ready systems for Machine Learning (e.g. Feature Storage).
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A desire to keep up with the field by attending or publishing at relevant conferences (ICML, NeurIPS, ACL, EMNLP, KDD, AAAI, ICLR, CVPR etc.)
- Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
- Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
- Conceiving, planning and prioritizing data projects and manage timelines
- Building analytical systems and predictive models as a part of the agile ecosystem
- Testing performance of data-driven products participating in sprint-wise feature releases
- Managing a team of data scientists and data engineers to develop, train and test predictive models
- Managing collaboration with internal and external stakeholders
- Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
What you need to have:
- B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
- 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
- Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
- Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
- We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
- Strategic thinker with agility and endurance
- Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
- Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
- Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
- Knowledge and demonstrated skill-sets in AWS
Good Python developers / Data Engineers / Devops engineers
Exp: 1-8years
Work loc: Chennai. / Remote support
This is NOT remote work position and the selected candidate is expected to commute to the office location in Navi Mumbai.
Job Description
- Implement and deliver a product in the healthcare domain using machine learning and AI capabilities
- Ability to work on challenging tasks
- Ability to research ways of doing things efficiently
- Keen approach to problem solving
- Strong experience in statistics, python, SQL, NLP and predictiv modeling
Basic Qualifications
- Bachelors Degree with a total of 9+ years of experience in software development with 2-3 years experience in Data Science
- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding
- Well versed with necessary data preprocessing and feature engineering skills
- Background in healthcare IT space will be preferred
- Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
- Implement data pipelines, new features, and algorithms that are critical to our production models
- Create scalable strategies to deploy and execute your models
- Write well designed, testable, efficient code
- Identify valuable data sources and automate collection processes.
- Undertake to preprocess of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
Requirements:
- 2+ years of experience in applied data science or engineering with a focus on machine learning
- Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
- strong quantitative and programming skills with a product-driven sensibility
• 5+ years’ experience developing and maintaining modern ingestion pipeline using
technologies like Spark, Apache Nifi etc).
• 2+ years’ experience with Healthcare Payors (focusing on Membership, Enrollment, Eligibility,
• Claims, Clinical)
• Hands on experience on AWS Cloud and its Native components like S3, Athena, Redshift &
• Jupyter Notebooks
• Strong in Spark Scala & Python pipelines (ETL & Streaming)
• Strong experience in metadata management tools like AWS Glue
• String experience in coding with languages like Java, Python
• Worked on designing ETL & streaming pipelines in Spark Scala / Python
• Good experience in Requirements gathering, Design & Development
• Working with cross-functional teams to meet strategic goals.
• Experience in high volume data environments
• Critical thinking and excellent verbal and written communication skills
• Strong problem-solving and analytical abilities, should be able to work and delivery
individually
• Good-to-have AWS Developer certified, Scala coding experience, Postman-API and Apache
Airflow or similar schedulers experience
• Nice-to-have experience in healthcare messaging standards like HL7, CCDA, EDI, 834, 835, 837
• Good communication skills
Senior Machine Learning Engineer
at AthenasOwl
Company Profile and Job Description
About us:
AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.
For more details visit: www.athenasowl.tv
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Role: |
Senior Machine Learning Engineer |
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Experience Level: |
4 -6 Years of experience |
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Work location: |
Mumbai (Malad W) |
Responsibilities:
- Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports
- Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership
- Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale
The ideal candidate should have:
- Strong programming skills in any one or more programming languages like Python and C/C++
- Sound fundamentals of data structures, algorithms and object-oriented programming
- Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc.
- Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.)
- Ability to quickly learn and communicate the latest findings in AI research
- Creative thinking for leveraging machine learning to build end-to-end intelligent software systems
- A pleasantly forceful personality and charismatic communication style
- Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”
