Product Manager

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

About the Role:

We are seeking an experienced Scrum Master to lead cross-functional teams and drive successful delivery of projects within scope, time, and budget. The ideal candidate is a proactive leader with strong organizational and interpersonal skills, capable of managing multiple projects in a dynamic environment.

Key Responsibilities:

Project Planning and Management: Define project scope, goals, and deliverables. Develop detailed project plans, including schedules, milestones, and resource allocation. Coordinate internal resources and third parties/vendors to ensure flawless project execution, delivering projects on time, within scope, and within budget. 

Team Coordination and Communication: Facilitate coordination among the tech team, customer support team, and management. Conduct regular status meetings, report project progress to the CTO, and manage changes to project scope, schedule, and costs. 

Risk Management: Identify potential risks, develop mitigation strategies, and monitor project risks and issues, ensuring risk management processes are followed. 

Resource Management: Allocate resources effectively, monitor team workload, adjust assignments as needed, and provide guidance and mentorship. 

Quality Assurance: Ensure project deliverables meet quality standards and stakeholder expectations. Implement and maintain quality control processes, facilitating testing and validation. 

Documentation and Reporting: Maintain comprehensive project documentation and prepare project reports, including status updates, performance metrics, and lessons learned. 

Release Management: Plan and coordinate software releases with the DevOps team, ensuring schedules are met and communicating release plans to stakeholders. 

Sprint Planning and Agile Practices: Conduct sprint planning sessions, manage the sprint backlog, and facilitate daily stand-ups, sprint reviews, and retrospectives, ensuring Agile best practices are followed. 

Continuous Improvement: Identify and implement process improvements to enhance efficiency and productivity, fostering a culture of continuous improvement. 

Vendor and Partner Management: Manage relationships with external vendors and partners, coordinating and overseeing their work.

Customer Feedback Integration: Collect and analyze customer feedback with the customer support team, incorporating it into project planning and development. 

Change Management: Develop and implement change management strategies, effectively handling project changes and communicating them to stakeholders. 

Performance and Metrics Tracking: Monitor key performance indicators (KPIs) and project metrics, analyzing data to identify trends and improvement opportunities. 

Training and Development: Identify training needs, arrange relevant training sessions, and support team members' professional development. 

Product Roadmap Alignment: Ensure project activities align with the overall product roadmap, coordinating with management to adjust project priorities. 

Compliance and Standards: Ensure project activities comply with industry standards and regulations, addressing legal or regulatory issues with the Corporate Lawyer - Legal & Compliance. 

Conflict Resolution: Address and resolve team conflicts promptly, fostering a collaborative and positive work environment. 

Resource Allocation: Ensure optimal allocation and utilization of resources, adjusting as project needs evolve. 

Risk Reporting: Prepare and present risk reports to senior management, ensuring transparent communication of project risks and mitigation plans. 

Onboarding: Send onboarding emails to new tech team members, ensuring a smooth integration into the team.

Qualifications:



• Bachelor’s degree in Project Management, Engineering, or related field.
• CSM, PSM or similar certification is preferred.
• Proven experience managing projects in an agile or hybrid environment.
• Excellent communication and leadership skills.
• Strong analytical and problem-solving abilities.
• Proficiency in project management software such as JIRA, MS Project.

Key responsibilities:

1. Execute tests on Jenkins, and fetch reports

2. Conduct feature demos in customer calls and execute the test cases

3. Perform root cause analysis by reviewing logs

4. Be well conversant with different types of automation testing tools and be responsible for onboarding future automation technologies like AI/DevOps and implement fit-for-purpose tools/technologies

Other requirements

1. Automation experience with Selenium

2. Experience in automation tools for mobile app automation

3. Experience working with source control tools (GIT, Gitlab, GitHub)

4. Ability to understand business requirements/ workflows and come up with automation scripts and implementations

5. Experience working in a fast-paced environment and working closely with the core engineering team

6. Experience working in an Agile environment and using tools such as Jira

7. Ability to write and maintain testing documentation on subjects including API functionality and software issue creation/resolution

8. Previous experience working with cloud providers like AWS or Azure.

9. Experience in functional testing, End-End testing, and regression testing

10. Experience in writing queries in SQL and PostgreSQL using joins for extracting and verifying data

11. Knowledge of STLC and various kinds of testing systems, integration, UAT, performance, and Accessibility testing

Answering customer queries

● Maintaining and analyze the customer database

● Tracking all the complaints,feedback, requirements

raised by customers and prepare reports

● Planning and delivering CRM strategies across the

organization with a view to retaining existing

customers, increasing brand loyalty and expanding the

company brand.

● Deciding on a final CRM structure and architecture

that will work seamlessly across the business and

capture crucial information along the sales funnel.

● Making sure the customer database is correctly

segmented for targeted marketing activities.

● Collaborating with other departments ensures the

CRM strategy works well for every aspect of the

business.

● Development of testing strategies to guarantee the

most efficient approach for the organization and its

customers.

● Handle all CRM platforms - Call and chat

● Running customer loyalty programs for repeat

customers

Description

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable with both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. If you’re also familiar with Agile methodologies, we’d like to meet you.

Responsibilities

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

Requirements

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. PHP, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. PostgreSQL, MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics or relevant field

Head Kubernetes

Docker, Kubernetes Engineer – Remote (Pan India) 

ABOUT US

Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

THE POSITION

Ashnik is looking for talented and passionate Technical consultant to be part of the training team and work with customers on DevOps Solution. You will be responsible for implementation and consultations related work for customers across SEA and India. We are looking for personnel with personal qualities like -

• Passion for working for different customers and different environments.
• Excellent communication and articulation skills
• Aptitude for learning new technology and willingness to understand technologies which he/she is not directly working on.
• Willingness to travel within and outside the country.
• Ability to independently work at the customer site and navigate through different teams.

SKILLS AND EXPERIENCE

ESSENTIAL SKILLS

• 3+ years of experience with B.E/ B.Tech, MCA, Graduation Degree with higher education in the technical field.
• Must have prior experience with docker containers, swarm and/or Kubernetes.
• Understanding of Operating System, processes, networking, and containers.
• Experience/exposure in writing and managing Dockerfile or creating container images.
• Experience of working on Linux platform.
• Ability to perform installations and system/software configuration on Linux.
• Should be aware of networking and SSL/TLS basics.
• Should be aware of tools used in complex enterprise IT infra e.g. LDAP, AD, Centralized Logging solution etc.

A preferred candidate will have

• Prior experience with open source Kubernetes or another container management platform like OpenShift, EKS, ECS etc.
• CNCF Kubernetes Certified Administrator/Developer
• Experience in container monitoring using Prometheus, Datadog etc.
• Experience with CI/CD tools and their usage
• Knowledge of scripting language e.g., shell scripting

RESPONSIBILITIES

First 2 months:

• Get an in-depth understanding of containers, Docker Engine and runtime, Swarm and Kubernetes.
• Get hands-on experience with various features of Mirantis Kubernetes Engine, and Mirantis Secure Registry

After 2 months:

• Work with Ashnik’s pre-sales and solution architects to deploy Mirantis Kubernetes Engine for customers
• Work with customer teams and provide them guidance on how Kubernetes Platform can be integrated with other tools in their environment (CI/CD, identity management, storage etc)
• Work with customers to containerize their applications.
• Write Dockerfile for customers during the implementation phase.
• Help customers design their network and security policy for effective management of applications deployed using Swarm and/or Kubernetes.
• Help customer design their deployments either with Swarm services or Kubernetes Deployments.
• Work with pre-sales and sales team to help customers during their evaluation of Mirantis Kubernetes platform
• Conduct workshops for customers as needed for technical hand-holding and technical handover.

Package: upto30 L

Office: Mumbai