DevOps Engineer

Job Description

Position: Senior HR Executive - People Experience

Department: Human Resources

Location: Connect and Heal (CNH) Bangalore

About Connect and Heal (CNH)

At CNH, we strive to create a healthy and engaging workplace by ensuring that employees experience a seamless journey, from onboarding to daily operations. We value people-centric practices that prioritize collaboration, innovation, and care.

Position Summary

The Senior HR Executive - People Experience will play a pivotal role in delivering exceptional employee experiences across onboarding, recruitment, engagement, and HRMS management. This role requires a proactive individual who can work collaboratively to ensure processes are efficient, compliant, and aligned with CNH’s core values.

Key Responsibilities

1. Onboarding

• Coordinate with hiring managers and cross-functional teams to deliver induction programs.
• Facilitate documentation, verification, and orientation sessions for new employees.
• Ensure compliance with company policies and regulatory requirements during onboarding.

2. Recruitment

• Manage recruitment processes, including job posting, sourcing, screening, scheduling interviews, and offer rollouts.
• Partner with department heads to understand staffing requirements and create effective hiring strategies.
• Maintain a talent pipeline by leveraging social media platforms, job portals, and referral programs.
• Conduct pre-employment checks and reference verifications to ensure quality hiring.

3. Employee Engagement

• Design and implement programs that enhance employee satisfaction, well-being, and retention.
• Plan and execute initiatives such as town halls, team-building activities, and feedback surveys.
• Act as a point of contact for employee queries and provide resolution to concerns in a timely manner.
• Analyze engagement metrics to recommend and implement improvements.

4. HRMS Management

• Oversee the maintenance and accuracy of employee data in the HRMS system.
• Ensure data security and compliance with data protection regulations.

Skills and Qualifications

• Bachelor’s degree in Human Resources, Business Administration, or a related field.
• 1-4 years of experience in HR functions, including onboarding, recruitment, employee engagement, and HRMS.
• Proficient in HRMS tools, Microsoft Office Suite.
• Strong interpersonal and communication skills.
• Ability to handle sensitive information with confidentiality and professionalism.
• Detail-oriented, with strong organizational and multitasking capabilities.

Why Join CNH?

• Be part of a fast-growing organization that prioritizes employee health and well-being.
• Collaborative and inclusive work culture.
• Opportunities for professional growth and development.

Company Description

Miko is an advanced artificial intelligence innovation lab with a mission to bring AI and robotics to every consumer home. Headquartered in Mumbai, India, our workforce spans several countries, including the United States, Canada, Europe, and the Middle East. To check out various product offerings, visit Miko's website.

Responsibilities:

Non-Direct Routing (NDR) Optimization:

- Develop and implement strategies to optimize NDR processes, minimizing transportation costs while maintaining service levels.

- Collaborate with internal stakeholders (sales, procurement, customer service) to identify NDR opportunities and -streamline order fulfillment.

- Manage carrier and logistics service provider relationships, negotiating rates, managing contracts, and ensuring compliance with routing guidelines.

Reverse Logistics (RVP) Management:

- Oversee the RVP process, encompassing returns, exchanges, and product recalls, to minimize costs and maximize recovery value.

- Partner with customer service, repair, and warehouse teams to streamline RVP processes and improve customer satisfaction.

- Manage relationships with reverse logistics partners, vendors, and service providers to ensure timely and efficient processing of returns and exchanges.

Pickup Coordination:

- Coordinate pickups from various locations (suppliers, warehouses, distribution centers) to optimize transportation efficiency and minimize costs.

- Schedule and monitor pickup activities, track shipment status, and resolve any issues or delays to ensure on-time pickup and delivery.

- Communicate pickup schedules and requirements to carriers and internal stakeholders for alignment with logistics plans.

Performance Monitoring & Continuous Improvement:

- Develop key performance indicators (KPIs) and metrics to measure logistics performance in areas like on-time - pickup/delivery, NDR utilization, and RVP processing time.

- Analyze logistics data and performance metrics to identify trends, root causes of issues, and opportunities for improvement.

- Lead cross-functional teams in implementing process improvements, best practices, and technology solutions to enhance logistics efficiency and customer service.

Qualifications:

- Degree in Supply Chain Management, Logistics, Engineering, or a related field (preferred).

- 1-3 years of experience in logistics operations, transportation management, or a similar role.

- Proven track record of identifying and implementing logistics process improvements.

- Strong analytical skills with proficiency in data analysis tools and techniques.

- Excellent communication, collaboration, and interpersonal skills with the ability to influence stakeholders across departments.

- Experience working with transportation management systems (TMS) a plus

Qualification: Doesn’t matter. Skills and experience do.

Objectives of this Role

• Own overall relationship with assigned clients, which includes managing on-boarding, implementation, training, increasing adoption, ensuring retention, and high levels of customer satisfaction
• Maintain and develop customer success strategies and best practices, as well as customer support content, with the help of the creative team
• Communicate effectively with both internal and external senior-level management to understand customer needs, maximize retention and growth, and communicate learnings

Daily and Monthly Responsibilities

• Serve as day-to-day contact for assigned accounts, building trust and rapport while identifying areas of opportunity, highlighting best practices, and documenting them
• Review the customer journey, identifying how it’s supported, taking a consultative approach in helping clients overcome issues and achieve goals
• Collaborate, problem solve, and/or strategize upcoming client meetings with team members
• Prepare necessary documentation or visuals for client to demonstrate performance of campaigns; analyze trends in NPS scores to identify areas of improvement
• Work with the sales and marketing team to drill customer references and develop case studies

Requisites

• 0-3 years of experience in communications, marketing, sales, account management, or customer success
• Strong verbal and written communication, strategic planning, and project management skills
• Analytical and process-oriented mindset
• Comfortable working across multiple departments in a deadline-driven environment
• Active team player, self-starter, and multitasker who can quickly adjust priorities
• Readiness to travel to client location as and when required
•  

Work location:

Candidates must be based out of Mumbai. Work from office @ WeWork Malad.

Salary:

We highly value talent and experience. Competitive salary or better.

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

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.