Python Developer

Job Title: LinkedIn Growth & Content Strategist

Location: Work from Office / Hybrid

Experience: 2–5 Years

Salary: ₹30,000 – ₹50,000 per month Plus Other Benefits

About the Role

We are looking for a results-driven LinkedIn Growth & Content Strategist who can take ownership of building our brand presence on LinkedIn through high-quality content, storytelling, and audience engagement. This role involves both strategy and execution, with a strong focus on growth.

Key Responsibilities

• Develop and execute a LinkedIn growth strategy aligned with business goals
• Plan and manage a consistent content calendar (posts, carousels, videos)
• Create engaging, high-quality content focused on branding, storytelling, and value creation
• Manage and grow the company’s LinkedIn page and leadership profiles
• Drive organic growth, reach, and engagement on LinkedIn
• Analyze performance metrics (impressions, engagement, followers) and optimize strategy
• Stay updated with LinkedIn trends, algorithms, and best practices

Content & Podcast Responsibilities

• Ideate and develop content themes and campaigns
• Plan and execute podcast content (topics, scripting, guest coordination)
• Repurpose podcast content into LinkedIn posts, clips, and short-form videos
• Work with designers/editors for content production

Requirements

• 2–5 years of experience in LinkedIn/content marketing or social media growth
• Strong understanding of personal branding and B2B content
• Proven ability to grow LinkedIn pages or personal profiles
• Excellent writing, storytelling, and content structuring skills
• Basic understanding of tools like Canva, video editing tools, or similar
• Strong analytical mindset and attention to detail

Preferred Skills

• Experience in podcast creation or video content
• Worked in a startup or fast-paced environment
• Understanding of content funnels and audience psychology

What We Offer

• Opportunity to build and scale a strong brand presence
• Ownership and creative freedom
• High-growth and fast-paced work environment

Job Title: Linux Project Administrator (RHEL)

Experience: 8-12 Years

Location: Pan India

Open Positions: 1

Role Overview

We are looking for an experienced RHEL Linux Administrator to manage and support enterprise Linux environments. The candidate should have strong hands-on expertise in system administration, patch management, automation, and performance tuning. This role requires proactive monitoring, troubleshooting, and ensuring high availability of Linux platforms.

Must-Have Technical Skills

1. Red Hat Enterprise Linux (RHEL) & Solaris – In-depth Knowledge

Strong understanding of Linux system internals, kernel tuning, boot process, file systems, and performance monitoring. Ability to analyze logs and troubleshoot complex OS-level issues.

2. Patching Using Red Hat Satellite

Hands-on experience in managing repositories, content views, lifecycle environments, and performing patching activities through Satellite. Knowledge of repo sync and package management processes.

3. Ansible Automation

Experience in creating and executing Ansible playbooks for configuration management, patching, and user management. Ability to perform pre- and post-validation checks and automate routine administrative tasks.

4. Scripting Knowledge

Proficiency in Shell scripting or similar scripting languages to automate system administration tasks and operational processes.

5. Performance Monitoring & System Optimization

Experience in identifying performance bottlenecks and implementing tuning measures to ensure system stability and efficiency.

Good-to-Have Skills

1. GitHub / Subversion / TeamCity

Working knowledge of version control systems and CI/CD tools for automation and deployment workflows.

2. NFS & CIFS

Experience in configuring and troubleshooting network file systems and shared storage environments.

3. Networking, Storage & Virtualization

Good understanding of networking layers, storage concepts, database connectivity, and virtualization platforms.

4. AWX

Exposure to AWX for managing and scheduling Ansible automation workflows.

5. CI/CD & Automation Concepts

Understanding of automation frameworks, pipeline concepts, and DevOps practices.

Key Responsibilities

• Ensure all tickets are addressed and updated within SLA in the ticketing tool.
• Participate in team rotation and support activities.
• Maintain Linux platforms in a highly available, secure, reliable, and performant state.
• Identify performance improvement opportunities and implement enhancements.
• Provide technical support to application and development teams.
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Role Description:

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.

Roles & Responsibilities:

• Developing and implementing machine learning models and algorithms to solve complex business problems
• Conducting data analysis and modeling using statistical and data analysis tools
• Collaborating with other teams to ensure the consistency and integrity of data
• Providing guidance and mentorship to junior data science and modeling specialists
• Presenting findings and recommendations to stakeholders

Technical Skills

Skills Requirements:

• Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
• Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Understanding of big data technologies such as Hadoop, Spark, or Hive.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.

Qualifications

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

About the company

Adia makes clinicians better diagnosticians.

Adia is set to revolutionize the diagnostic process for both doctors and patients. Leveraging our extensive knowledge and experience in medicine, coupled with advanced technology and AI, we aim to improve diagnostic accuracy while also reducing and optimizing costs. This leads to more satisfied patients, efficient doctors, and less financial burden for all involved. 

Adia enables advanced clinical decision support (CDS) and guides lab test selection and result interpretation by using patient’s data and clinical context. On top of that Adia changes how healthcare providers get paid by combining predictive and guiding diagnostic decisions with medical claim factoring that advances payments to providers. The whole medical journey is getting automated. 

By effectively "underwriting" medical services to confirm payment eligibility from health plans, Adia ensures real-time payments to providers. This frees providers from the uncertainties of payer reimbursements, enabling predictable cash flow for better business management and patient care. 

Adia commits to building products with the latest technology, finest predictive models, LLMs, a comprehensive medical Knowledge Graph, and more.

Visit our website: https://www.adia.ai/

To achieve that we need to build a world-class Financial platform, which can perform financial projections for a lab order in matter of milliseconds and move money between all healthcare actors involved with traceability in place.

What you'll be doing

The ideal candidate will be responsible for managing and inspiring his or her team to achieve their performance metrics. Your collaborative attitude and interpersonal skills will help you thrive as an Engineering Manager.

You will be in charge of building the Financial platform team from scratch. This team will be responsible for covering “Revenue cycle management” and “Money movement” product areas.

Your first 90 days

• Your first two weeks will focus on onboarding. You'll work on small coding tasks to learn our tech stack, system architecture, and medical domain basics.
• Next month, you will collaborate with the Product Manager to develop a comprehensive team roadmap and initiate the recruitment process for essential team members.
• By the end of your third month, you'll have a common managerial routine, including team rituals, one-on-one meetings, planning for future product cycles, and active participation in management team initiatives.

Primary Responsibilities

• Hiring great talent and adjusting hiring process to meet team’s needs.
• Planning together with the team a roadmap for product cycles.
• Manage, coach, and support engineering team. Coaching and growing engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention.
• Providing feedback on product and technical specs to help engineers identify where to cut scope or improve quality.
• Fixing small bugs or doing small improvements to our tech stack while staying off the critical path.
• Communicate team goals and ensure project timelines are met

Requirements

• At least 12+ years experience in Software development roles
• 3+ years' experience as Engineering manager.
• 5+ years experience as Lead Engineer.
• Proficiency in Node.js, JavaScript, TypeScript, PostgreSQL, NoSQL and Cloud
• Self motivated , thought leader with proven Engineering leadership skills
• US Health care domain expertise is preferred
• Fintech and exposure to payment gateway systems will be added advantage

• Sound knowledge of Core Java, JSP, Servlets & MVC, Spring
• Good knowledge of Java Script, Ajax
• Good knowledge of My SQL database server
• Experience in working with IDE like Eclipse or Netbeans
• Knowledge of Spring would be an advantage
• Great problem-solving attitude
• Strong OOP & OOAD fundamentals
• Knowledge of Java EE Design pattern
• Technical hands on Spring, Spring Security, Hibernate, JPA, Struts, OO JS, XML, Webservices (Restful, JAX-WS).
• Nice to have knowledge of Liferay, Amazon EC2, Google App Engine, Restful services, jQuery, YUI, EstJS (Sencha), frameworks.

• Understand the BRS / SRS document
• Coordinate with Team lead/DBA to understand the System design and Database design
• Development and Unit Testing
• Bug fixing and Change Request implementation

Responsibilities of the role:

• Develop Web/App based solutions in PHP and PHP based frameworks (CodeIgniter/Laravel) having a Service Oriented Architecture (REST/SOAP)
• Work on integration of 3rd Party libraries as required by the product
• Unit-testing code for robustness, including edge cases, usability, and general reliability
• Ensure the quality of the end product while adhering to quality norms
• Creating Technical documentation wherever applicable
• Collaborate with cross-functional teams to define, design, and ship new features
• Take part in requirement understanding and contribute to solution of the requirement

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.