- Design and driving learning strategy and charter for company, inline with business priorities.
- Provide a responsive, effective and efficient centralized- Learning and Development (L&D) function within the newly established Centre of Excellence (CoE) providing a range of Learning and Development services across functions.
- Foster a culture of continuous-learning through various interventions, and providing access to curated, relevant content to the team.
- The incumbent will aggregate and support the delivery of the L&D strategy and the development of the L&D offerings across company
- Design and execute learning journeys for specific cohorts such as high potentials, leadership, any identified critical roles/functions
- Ownership of associated metrics and data for learning & development, and talent processes
- Working in close collaboration with internal and external stakeholders to deliver the learning needs of company.
Shubham Vishwakarma
Full Stack Developer - Averlon
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NodeJS (Node.js)
React NativeWe are looking for an experienced Program Manager to lead end-to-end delivery of complex technical programs. The TPM will collaborate with engineering, product, QA, DevOps, and business teams to plan, execute, and deliver high-impact initiatives on time and within scope.
Responsibilities
- Own program planning, execution, tracking, and delivery
- Translate business requirements into technical scope and milestones
- Work closely with engineering teams (Backend, Frontend, Mobile, QA, Cloud, Security)
- Manage project schedules, risks, dependencies, and budgets
- Drive scrum/Agile ceremonies and ensure delivery excellence
- Coordinate across multiple teams and stakeholders
- Track KPIs and publish weekly status and dashboards
- Identify blockers and drive problem resolution
- Ensure quality, security, and performance standards are met
- Manage vendor/third-party collaboration when required
Job Summary
We seek a motivated and detail-oriented QA Automation Tester to join our QA team. You will be responsible for writing and executing automated test cases, identifying bugs, and supporting the overall testing efforts to ensure software quality. This role offers an excellent opportunity to grow in test automation while working closely with experienced QA professionals and development teams.
Key Responsibilities
- Understand functional and non-functional requirements to design relevant test cases.
- Develop, execute, and maintain automated test scripts under the guidance of senior QA team members.
- Use automation tools such as Selenium, Appium, or similar frameworks.
- Identify, document, and track defects, and work with developers to ensure timely resolution.
- Assist in creating and managing test data and environments.
- Collaborate with cross-functional teams, including developers, product managers, and senior QA
- Participate in Agile ceremonies such as stand-ups, sprint reviews, and retrospectives.
- Support manual testing activities as needed.
- Continuously learn and adapt to new testing tools, technologies, and best practices.
- Ensure test coverage, consistency, and accuracy across the software lifecycle.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 1 to 3 years of experience in QA automation testing.
- Basic experience with test automation tools like Selenium, Appium, or similar.
- Familiarity with one or more programming/scripting languages (e.g., Java, Python, or JavaScript).
- Understanding of QA processes, software testing methodologies, and defect life cycle.
- Exposure to Agile/Scrum methodologies.
- Strong analytical and problem-solving skills.
- Good communication skills and a collaborative mindset.
- Eagerness to learn and grow in the test automation domain.
Preferred Qualifications (Nice to Have)
- Hands-on experience with test management or bug tracking tools (e.g., JIRA, TestRail).
- Exposure to version control systems like Git.
- Basic understanding of CI/CD concepts and tools like Jenkins.
- Relevant certifications (e.g., ISTQB Foundation, Selenium WebDriver certification).
Execute projects: Exceptional quality
Plan collaboratively: Detailed project
Liaise with clients: Manage expectations
Supervise projects: Ensure & maximize efficiency
Maintain standards: Conduct reviews
Generate reports: Data insights
Data Analytics
Django
FlaskAbout 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
Job Title: Data Engineer
Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.
Responsibilities:
- Design, build, and maintain data pipelines to collect, store, and process data from various sources.
- Create and manage data warehousing and data lake solutions.
- Develop and maintain data processing and data integration tools.
- Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
- Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
- Ensure data quality and integrity across all data sources.
- Develop and implement best practices for data governance, security, and privacy.
- Monitor data pipeline performance / Errors and troubleshoot issues as needed.
- Stay up-to-date with emerging data technologies and best practices.
Requirements:
Bachelor's degree in Computer Science, Information Systems, or a related field.
Experience with ETL tools like Matillion,SSIS,Informatica
Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.
Experience in writing complex SQL queries
Strong programming skills in languages such as Python, Java, or Scala.
Experience with data modeling, data warehousing, and data integration.
Strong problem-solving skills and ability to work independently.
Excellent communication and collaboration skills.
Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks
Familiarity with cloud computing platforms such as AWS, Azure, or GCP.
Familiarity with Reporting tools
Teamwork/ growth contribution
- Helping the team in taking the Interviews and identifying right candidates
- Adhering to timelines
- Intime status communication and upfront communication of any risks
- Tech, train, share knowledge with peers.
- Good Communication skills
- Proven abilities to take initiative and be innovative
- Analytical mind with a problem-solving aptitude
Good to have :
Master's degree in Computer Science, Information Systems, or a related field.
Experience with NoSQL databases such as MongoDB or Cassandra.
Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.
Knowledge of machine learning and statistical modeling techniques.
If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.
Docker
JenkinsExp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
Job Scope
- Requirements Gathering & Designing: Liaison with SMEs to understand their Business Requirements and advise them on efficient system solutions. If required, guide the clients in re-engineering their Business Processes. Also, educate them on alternatives for system design & advice on how to achieve desired business outcomes.
- Implementation: Configure and Test SAP SuccessFactors modules
- Data Migration: Perform/Support Data Migration as required
- Client Engagement: Set up relevant data within the configured SAP SuccessFactors module, to showcase to the client the end-to-end business process. Collect & process the feedback from Clients, to make necessary system changes. Also, extend extensive support to Clients when they test SAP SuccessFactors modules
- Training: Educate clients on how to use SAP SuccessFactors modules
- Documentation: Diligently document Business Requirements to baseline for implementation. Prepare training materials & other documents required for the successful completion of the project.
- Support: Post implementation, understand the requirements/issues of the client and provide necessary technical solutions. This could include fixing issues and/or implementing new features based on business needs.
Job profile: Bench Sales Recruiter
Responsibilities:
- Should have experience in the entire Sales Life Cycle and have ability to market multiple candidates at a time. Developing new contacts with tier 1 vendors / Clients.
- Working directly with end clients requirements like Tier 1 Vendors/Implementation partners.
- Interacting, developing Tier-1 Vendor or Implementation Partners network daily basis to get the Bench candidates placed in minimal turnaround time.
- Searching Requirements on Job boards and submitting the resume.
- Proficient in using Job Boards like Dice, Monster, LinkedIn, Twitter, Google, Free Job Sites etc. to source Candidates.
- Checking with the consultants comfort on job requirements and suggesting any modifications required to improve their chances of placements.
- Communicating with the consultants on a Daily Basis and updating about submission and interviews.
- Arranging the interviews with tier one vendors or end clients. Follow up with the candidate and client in each stage and finally close the candidate. Strong in Active and Passive searches to source Candidates. Should be able to generate Leads by cold calling to acquire new direct clients. Should be able to manage the complete cycle of Bench sales. Should be good in verbal and oral communication skills in English.
Title: Art Producer/Senior Art Producer
Main responsibilities:
● Manage the art production of incredibly compelling, high-quality smartphone games.
● Plan and oversee the 2D, 3D, UI, and Technical Art planning using project planning tools like
Google or MS Excel sheet.
● Follow the delivery plan and coordinate with art, art leads, design, product, and engineering
for deliveries.
● Initiate and track all production processes through art stand up meetings, scrum, or similar
approach.
● Ensure timely delivery of art milestones while safeguarding the quality of artwork in
accordance with the pre-defined art production schedule.
● Work with art leads and art directors to evaluate and sign-up new outsourcing art and sound
vendors.
● Work with vendors to finalize the vendor delivery plan and co-ordinate with vendors for timely
deliveries.
● Work with project stakeholders to get their feedback on assets delivered by the vendors,
communicate back to the vendors, and get the updated asset deliveries.
● Contribute to improving the quality of our games, the productivity of our art teams, and the
efficiency of our art processes.
Profile / Requirements
● 5-10 years of overall experience in managing Art Production. Min 3 years of relevant
experience.
● Candidate must have worked on and have shipped at least 1 game on Play Store or App
Store (preferred).
● Must have experience in games developed in the Unity game engine.
● Must have experience of working with frontend Unity developers and technical artists,
product managers, and game designers.
● Experience in tools like Jira, Slack, Asana, Trello, Monday, Google docs, and Google sheets.
● Experience with asset management tools like AlienBrain or any similar software.
● Extremely strong project management skills and good at planning in all situations.
● Excellent knowledge of game art production pipelines.
● Excellent interpersonal skills, combining leadership and diplomacy.
● Excellent verbal and written communication skills.
Kubernetes
Amazon Web Services (AWS)Docker
Python2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon