Digital Marketer

As a Tech Lead at RaptorX.ai you will lead our development team through the planning, execution, and successful delivery of cutting-edge, scalable, and high-performance web applications. With your extensive experience in both front-end and back-end technologies, you will drive the architectural decisions, mentor junior developers, and ensure the technical excellence of our projects. Your role will be pivotal in fostering innovation, implementing best practices, and contributing to the strategic direction of our technology stack.

Key Responsibilities:

• Technical Leadership:
• Architect, design, and develop complex full-stack applications, ensuring robustness, scalability, and performance.
• Lead the technical planning and architecture discussions, making strategic decisions on technology stack, frameworks, and tools.
• Conduct code reviews, ensuring adherence to coding standards and best practices.
• Stay abreast of emerging technologies and trends, integrating them into projects to enhance innovation and efficiency.
• Project Management:
• Collaborate with project managers, business analysts, and stakeholders to define project scopes, goals, and deliverables.
• Create detailed project plans, timelines, and roadmaps, ensuring timely delivery and alignment with business objectives.
• Manage risk assessment and mitigation strategies throughout the project lifecycle.
• Team Leadership and Development:
• Mentor and coach developers, fostering a culture of continuous learning and improvement.
• Lead by example, promoting a collaborative team environment that encourages open communication and innovation.
• Facilitate knowledge sharing sessions and technical workshops to enhance team skills and expertise.
• Quality Assurance:
• Implement and oversee rigorous testing frameworks and methodologies to ensure the delivery of high-quality solutions.
• Collaborate with the QA team to define test strategies, review test plans, and ensure that applications meet functional and non-functional requirements.
• Stakeholder Engagement:
• Communicate effectively with stakeholders, translating technical concepts into business language and vice versa.
• Gather and analyze feedback from end-users and stakeholders to inform continuous improvement of applications.
• Participate in client meetings, presentations, and proposal development.
• Operational Excellence:
• Ensure the reliability, security, and maintainability of applications.
• Oversee the deployment and operation of applications, including performance monitoring and optimization.
• Implement best practices for source control, continuous integration, and continuous deployment.

Prior Experience and Skills Required:

• Minimum 10 years of experience in full-stack web development.
• Proven track record of leading development teams in delivering complex web applications.
• Expertise in front-end technologies (e.g., JavaScript, React.js, HTML5, CSS3) and back-end technologies (e.g., Node.js, Python, Java).
• Strong experience with database design and management (SQL and NoSQL).
• Proficiency in cloud technologies and services (AWS, Azure, GCP).
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Familiarity with Agile methodologies and ability to adapt to changing priorities and deadlines.
• Excellent problem-solving, analytical, and technical troubleshooting skills.

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written.

Other Skills:

• Strong leadership and team management skills.
• Excellent communication and interpersonal skills.
• High level of personal accountability and responsibility.
• Ability to think strategically and execute tactically.

Salary:

• Competitive, based on experience and market standards.

• 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
• Programming skills in Python, knowledge in Statistics.
• Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
• Experience in the financial domain and familiarity with financial models are highly desirable.
• Experience in image processing and computer vision.
• Experience working with building data pipelines.
• Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
• Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
• Should have experience in using larger data sets using Postgres Database. 

JOB OVERVIEW:

We are looking for an HR and Admin person responsible for managing all the aspects of the company's administration and Human Resources inclusive of the entire processes and practices. Your primary focus will be in organizational development by enforcing the defined company policies, processing the internal arrangements.

The key objective is to impart corporate values and enable business success through the stream of human resources that consists of job design, business ethics,employment cycle,talent management, and facilities management services.

WHAT YOU WILL DO-

• Key ownership in implementation of Business and located HR strategies within the process, team and adhere to company  policies/practices.

• Will be the single point of contact for employees and managers for employee related dimensions.

• Ensuring compliance, regulating audits,managing staff wellness.

• Make high-judgment recommendations in the absence of clear guidance from leadership and must have an uncompromising attitude to maintain the decorum of the professional environment.
• Identify the training resources to train the employees in the core functions by measuring the effectiveness of the training and validate the same through feedback and monthly review process with the help of the respective Team Leads and Manager of the Research Department.
• Monthly attrition analysis to track and address undesirable attrition.

REQUIRED SKILLS & QUALIFICATIONS:

• Proven experience in HR and Admin roles.
• People Management skills
• Coaching, Listening, Analytical skills
• Good number orientation
• Strong functional skills in HR area of expertise, ability to resolve conflicts and build teams
• Excellent telephone, verbal, and written communication skill
• Sound knowledge of labor laws and practices.
• Excellent computer skills especially with MS-Office (Excel, PPT)

PREFERRED SKILLS & QUALIFICATIONS:

• Minimum 5 years of experience into the domain of Human Resource and Administration.
• Bachelor’s degree / Master’s degree in Human Resources or related field.

EMPLOYMENT TYPE: Full-Time

LOCATION: In-Office –Jaipur, India

SHIFT TIMINGS: 8pm to 5am IST (Night Shift) 

• Six days a week, second and fourth Saturdays off. 
• The concerned POC will be following the US Calendar.

• We are looking for a Senior SRE with a proven track record of success leading complex cloud-hybrid environments. You will have:
• Strong sense of Being an Owner, Wearing the Customer Shoes, with the ability to Empower Others demonstrated through clear
• communication and collaboration.
• Skills to work independently with multiple global teams, developing, configuring, deploying, and operating our global infrastructure on AWS and on-prem.
• Operational experience in complex distributed and real-time systems, including experience with SLO/SLAs towards high availability,reliability and DR goals.
• DevOps experience in building tools and frameworks, with an understanding of continuous deployment processes.
• Ability to think at scale, bringing a focus on continuous delivery methodologies from design through deployment and operations.
• Experience building and managing systems with tools including Kubernetes, Chef/Ansible/Puppet, Kafka, Docker, and Terraform.

• 5+ years experience in a Software and/or Site Reliability Engineering role
• Experience writing automation code in GoLang, Python or Java
• Experience developing and operating large scale distributed systems with Kubernetes and Docker
• Experience in running real time and low latency high available applications (Kafka, gRPC, RTP)
• Experience running public cloud environments on AWS
• Experience running hybrid clouds and on-prem infrastructures on Red Hat Enterprise Linux / CentOS
• Bachelor degree in Engineering, Computer Science or equivalent experience
• The ability to lead, partner, and collaborate cross functionally across an engineering organization

• Build data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing using Java / Python
• Design the Data stores for Big Data systems with expertise in Cassandra, HBase
• Implementation of Indexing and Search using Elasticsearch
• Setup and Deployment of Cassandra, Elasticsearch clusters

• Strong hands-on experience with Cassandra, data modeling, data replication, clustering, indexing for handling for large data sets
• Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics
• Strong understanding of CQL, Data Modeling in-order to achieve highly performant data access
• Strong experience in data modeling in Cassandra to design efficient storage model to meet variety of business needs
• Should have Elasticsearch skill with significant experience working with large Elasticsearch clusters, cluster performance optimisation, capacity planning, enhancing monitoring capabilities for early issue detection, driving operational readiness and ongoing maintenance
• Strong hands-on experience of programming with Java / Python
• Ability to troubleshoot and investigate stability, performance issues

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics

• Proven SEO experience
• Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing
• In-depth experience with website analytics tools
• Responsible for analysing, reviewing and implementing websites that are optimized to be picked up by search engines
• Research and analyse competitor advertising links
• Develop and implement link building strategy
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code
• Work with editorial and marketing teams to drive SEO in content creation and content programming
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords