SEO Manager

Deliver Training Sessions: Conduct live training sessions, workshops, and webinars both in-person and online. Engage learners through interactive demonstrations and hands-on exercises.

Curriculum Development: Design and update curricula based on industry trends, feedback from previous sessions, and emerging technologies to ensure relevance and effectiveness.

Assess Learner Progress: Evaluate participant progress through quizzes, assignments, and projects. Provide constructive feedback and support to help learners achieve their goals.

Technical Expertise: Stay current with the latest industry trends, technologies, and best practices in full stack development to ensure the training content is accurate and relevant.

Support and Mentorship: Offer one-on-one support and mentorship to learners, helping them overcome challenges and apply their knowledge effectively.

Collaboration: Work closely with other trainers, developers, and stakeholders to ensure alignment of training objectives with organizational goals.

Qualifications:

• Educational Background: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Experience: Proven experience in full stack development, including proficiency in front-end technologies (HTML, CSS, JavaScript, frameworks like React or Angular) and back-end technologies (Node.js, Python, Ruby, databases, etc.).
• Teaching Experience: Prior experience in a teaching or training role is highly desirable, with the ability to convey complex concepts in an understandable manner.
• Communication Skills: Excellent verbal and written communication skills, with the ability to present technical information clearly and effectively.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

• As a lead engineer, you will be expected to execute and deliver large and complex projects end-to-end, with or without the involvement of other team members.
• Participate in code reviews, app architecture, and design discussions.
• Ensuring timely delivery of all product deliverables.
• Be the go-to person for the team for guidance and troubleshooting. 
• Mentoring junior developers and set best practices for coding, reviews, etc.
• Ensuring performance and scalability in all new product features being developed. 

• Overall of 5+ years of expertise in at least one dynamic programming language like Python and one MVC web framework, preferably Django.
• Experience in at least one frontend framework, preferably React.js
• Expertise in database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in all common AWS cloud technologies, knowledge of CI/CD tools, and workflows.

• Plan, architect, integrate, and develop back-end and database driven features using the Python language and frameworks (Flask/ Falcon, MongoDB ).
• Create decoupled, interactive web UIs using JavaScript (Angular, jQuery)
• Aid in the development and ongoing maintenance of our DevOps platform (Ansible)
• Provide technical advice and recommendations for language and software choices.
• Develop code that is cross-browser and cross-platform friendly
• Collaborate with project stakeholders to ensure all requirements are met
• Evaluate technologies and manage technical planning
• Support and ongoing development for existing projects
• Provide clean code and proper documentation for each project
• Fix bugs and resolve ongoing issues
• Strong writing and speaking skills (English)

Programming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.

• UI: HTML, JS
• System: Linux must have – good knowledge and shell scripting experience.
• Prior experience in infrastructure automation, monitoring will definitely help.

Description:

The person in this role:

- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors

- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)

Preferred skills:

Perl
- Shell scripting

- Unix

- Jenkins

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists