



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

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Key Qualifications :
- At least 2 years of hands-on experience with cloud infrastructure on AWS or GCP
- Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
- Knowledge in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
- Familiarity with monitoring and alerting tools(e.g. CloudWatch, ELK stack, Prometheus)
- Proven ability to work independently or as an integral member of a team
Preferable Skills :
- Familiarity with standard IT security practices such as encryption, credentials and key management
- Proven ability to acquire various coding languages (Java, Python- ) to support DevOps operation and cloud transformation
- Familiarity in web standards (e.g. REST APIs, web security mechanisms)
- Multi-cloud management experience with GCP / Azure
- Experience in performance tuning, services outage management and troubleshooting

Our Requirement
- Hands on experience in developing test codes using Python and Pytest frameworks for a minimum of 3 years
- Experience in writing test cases for embedded software for a minimum of 1 years
- Experience with Agile Software Workflows such as Scrum
- Experience with Git, Jira and Confluence
- Should be an expert in Python
- Hand on experience with OOPS
- Strong communication skills
- Hands-on experience in API testing & developing automation test script for mobile or tablet devices using Appium
- Ability to identify new testing techniques and tools
- Excellent problem-solving skills
- Excellent team player and exhibit a positive attitude
- Strong collaboration, oral and written skills
Preferred Skills:
- Strong understanding of Bluethooth, BLE, understanding of WiFi (802.11a/b/g/n)
- Ability to propose new ideas on how to improve customer satisfaction and quality of product
- Ability to carefully examine requirements and specifications to anticipate quality issues and provide timely feedback when specifications are incomplete or inaccurate
- Experience testing Firmware is plus
- Develop and implement unit and integration test cases and scripts for embedded firmware
Other Important Criteria's
- Required Educational Qualifications: Minimum B.E/B.Tech with 60% in academics.
- Min. Experience Required: 8 years.
- Should be able to join immediately or within 15 days
Our client is an expert in education financing and counselling related to higher studies abroad. They help students to understand about scholarships in various colleges abroad, whether they are eligible and how to apply for such esteemed institutions. Their dedicated page enlists every scholarship available across the globe, apart from other facilities required by students like visa counselling, forex, accommodation, Peer contacts etc.
They also offer the best resources for exams like IELTS, TOEFL and GRE apart from organising webinars and events to connect with industry experts, alumni and fellow students - that helps to prepare for these travels, loans and more. Partnered with the most prominent Banking and non-banking financiers, the team is led by FinTech-experienced IIT Kanpur alumni, passionate about offering sustainable financial offerings.
As a Sr SEO Manager, you will be reporting directly to the Head of Marketing, and be responsible for executing company’s SEO - with a high degree of independence.
What you will do:
- Planning and executing the SEO strategies for 10X growth YOY
- Coordinating with the content team and the tech team to get the work done
- Identifying the key resource needed to achieve the targets and hiring them independently
- Understanding the customer experience and its impact on the SEO
What you need to have:
- Has proven track record in the SEO
- Must be well-versed with SEO, and has meaningful experience in the domain.
- Is informed on the new developments in the industry all the time and can pivot the plans accordingly
- While candidates from all companies are welcome, those with prior SEO experience in the edtech / fintech / overseas education market will get extra points in the evaluation process.


● Design, develop, test, deploy and maintain software
● Delivering high quality and well-structured code
● Manage individual project priorities and deadlines
● Participate in enhancing tools and processes
● Participate in production observance and technical incident management
● Ability to quickly learn and adapt to keep up in a fast-paced environment
Must haves
● Strong data structure concepts
● Great problem-solving skills
● Strong experience in Python
● Experience in Microservices and Docker
● Exposure to RDBMS and/or NoSQL databases
● Working knowledge of MongoDB/DynamoDB
Location-Bangalore/chennai
np- 30 days
Job Description:
MySQL - DBA L3 Support
# 7 -10 years of experience in MySQL, handled multiple versions & flavors of MySQL servers both for standalone & enterprise version, Data center and VM/Cloud setup.
# Strong database Configuration and troubleshooting / problem solving skills.
# Strong knowledge of database backup and recovery concepts and practices.
# Enabling disabling scheduled Jobs on MySQL Server
# Work with Dev and DevOps engineers to ensure that all needed data is gathered and provided to them for any performance issues
# Experience in managing both on-prem DB as well as VM / cloud based DBs
# Maintenance of backups (perform backups, monitor backup, report obsolete backups)
# Maintenance of user access (creating user accounts, dropping user accounts, granting privileges)
# Maintenance of log and trace files (remove, initialize, archive them)
# Knowledge on SQL scripts
# Managing Database administration includes Daily health checks, Database tuning, Query optimization & Backup & Replication
# Experience in alert configurations using existing alerting tools or scripts


Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results

Ensure and manage delivery of customer commitments - Service Levels & quality of Service Delivery
Customer Relationship Management – drive follow up, urgency, and client first culture working alongside engagement teams; focus on creating success in new opportunities and sustaining success in ongoing ones; handle escalations in an appropriate way with focus on client retention
Resource Management – Resourcing, forecasting, utilization, efficiency & attrition management
People management – focus on retention, upskilling, competency development
Financial – Provide inputs on costs needed to appropriately estimate pricing, manage overall finance for the verticals
Experience-
18+ years of extensive experience in service delivery and management
Experience in Digital Marketing is highly desirable
Minimum 8 – 10 years experiencing managing a group of 300+
Experience in managing multiple stakeholders and international stakeholders/clients
Demonstrated skills and abilities managing and improving service delivery metrics
High level of initiative and self-motivation
Must quickly adapt to and adopt change
Demonstrated experience in making a difference to the employer and the clients
Functional Skills
Strong Delivery & Services Management experience
Must be a quick learner and be quick on his/her feet
Work with a sense of purpose and urgency
Exposure to External Audit / Certification
Exposure to quality processes and Project Management fundamentals
Must be able to scale with a rapidly growing organization
Behavioural Skills: (Includes leadership)
High degree of customer focus, thinks customer first
Presentation and executive presence
Assertive & Passionate People Management Skills
Ability to work through multiple internal stakeholders
Initiative and Tenacity
Dependability and accountability
Integrity and Work Ethics
Desired candidate must possess the below:
Proven ability to work with and present to end customers
Proven ability to work collaboratively with sales and service teams in different locations
Proven ability to drive change



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
Role: |
Senior Machine Learning Engineer |
Experience Level: |
4 -6 Years of experience |
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”

