11+ Facilitation Jobs in Hyderabad | Facilitation Job openings in Hyderabad

Looking for an experienced Product Manager to work in abroad countries who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Key Responsibilities:

Product Strategy and Vision:

• Develop and communicate a product vision and strategy aligned with the company's overall business objectives.
• Conduct market research, gather customer feedback, and analyze trends to inform the product roadmap.
• Define product goals and key performance indicators (KPIs) to track success.

Product Roadmap:

• Create and maintain a detailed product roadmap, setting priorities based on customer needs, business goals, and resource constraints.
• Balance short-term needs with long-term vision and strategic goals.

Cross-functional Collaboration:

• Work closely with engineering, design, and marketing teams to ensure successful product development and launch.
• Facilitate communication between stakeholders, ensuring everyone is aligned on product requirements, timelines, and goals.

Product Development:

• Write clear and actionable product requirements (PRDs) and user stories.
• Define features, prioritize enhancements, and manage the product backlog.
• Ensure the product development process is efficient and follows Agile or other relevant methodologies.

Customer Focus:

• Conduct user research, surveys, and interviews to understand customer pain points and gather feedback.
• Analyze data and product usage to identify opportunities for improvement or new features.
• Develop customer personas and use cases to guide product decisions.

Go-to-Market Strategy:

• Work with the marketing and sales teams to create product launch strategies, including pricing, messaging, and promotional campaigns.
• Train internal teams on product features and benefits to support successful product adoption.

Lifecycle Management:

• Oversee the product's life cycle, from ideation and design through to release, iteration, and eventual retirement.
• Monitor product performance, gather user feedback, and drive continuous improvement.

Stakeholder Management:

• Serve as the primary point of contact for product-related queries across the organization.
• Present product updates, progress, and results to senior leadership and stakeholders.

Key Responsibilities 

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem). 
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads. 
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns. 
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS). 
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies. 
• Support self-service analytics by enabling governed data products and semantic layers. 
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling. 
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data. 

Qualifications 

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field. 
• 10+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms. 
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena). 
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning. 
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.). 
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC). 
• Excellent problem-solving, documentation, and stakeholder communication skills. 

Preferred: 

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview). 
• Exposure to Snowflake, Databricks, or BigQuery environments. 
• Experience in high-tech, manufacturing, or enterprise data modernization programs. 

The Software Engineer – SRE will be responsible for building and maintaining highly reliable, scalable, and secure infrastructure that powers the Albert platform. This role focuses on automation, observability, and operational excellence to ensure seamless deployment, performance, and reliability of core platform services.

Key Responsibilities

• Act as a passionate representative of the Albert product and brand.
• Collaborate with Product Engineering and other stakeholders to plan and deliver core platform capabilities that enable scalability, reliability, and developer productivity.
• Work with the Site Reliability Engineering (SRE) team on shared full-stack ownership of a collection of services and/or technology areas.
• Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of all microservices.
• Design and deliver the mission-critical stack, focusing on security, resiliency, scale, and performance.
• Take ownership of end-to-end performance and operability.
• Apply strong knowledge of automation and orchestration principles.
• Serve as the ultimate escalation point for complex or critical issues not yet documented as Standard Operating Procedures (SOPs).
• Troubleshoot and define mitigations using a deep understanding of service topology and dependencies.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 2+ years of software engineering experience, with at least 1 year in an SRE role focused on automation.
• Strong experience in Infrastructure as Code (IAC), preferably using Terraform.
• Proficiency in Python or Node.js, with experience designing RESTful APIs and working in microservices architecture.
• Solid expertise in AWS cloud infrastructure and platform technologies including APIs, distributed systems, and microservices.
• Hands-on experience with observability stacks, including centralized log management, metrics, and tracing.
• Familiarity with CI/CD tools (e.g., CircleCI) and performance testing tools like K6.
• Passion for bringing automation and standardization to engineering operations.
• Ability to build high-performance APIs with low latency (<200ms).
• Ability to work in a fast-paced environment, learning from peers and leaders.
• Demonstrated ability to mentor other engineers and contribute to team growth, including participation in recruiting activities.

Good to Have

• Experience with Kubernetes and container orchestration.
• Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, or Datadog.
• Experience building Internal Developer Platforms (IDPs) or reusable frameworks for engineering teams.
• Exposure to ML infrastructure or data engineering workflows.
• Experience working in compliance-heavy environments (e.g., SOC2, HIPAA).

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Machint Solutions, a US registered IT & Digital automation Products and Services organization is seeking to hire couple of LINUX ADMINISTRATORS for its office in WHITEFIELDS, KONDAPUR, HYDERABAD, TELANAGANA.

Job description

• Minimum 5 years of strong Linux (RHEL & SuSE) Admin knowledge & troubleshooting skills.
• Must know Storage integration with Linux.
• Must have strong scripting (Bash or Shell) knowledge.
• Cluster Knowledge (RHEL & SuSE)
• Monitoring & Patching tools knowledge
• Should have good experience with AWS Cloud & VMWare
• Networking Knowledge with respect to Linux
• Work Location: Machint Solutions Private Limited., Whitefields, Kondapur, Hyderabad
• Notice period: Candidates who can join in 2 weeks are preferred.
• Interview: F2F at our office - Between 11 AM and 6 PM Monday through Friday
• Budget: Market standards

Please share your updated resume on ram dot n at machint dot com with salary and notice period info to initiate the hiring process.

About Telstra

Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries, including In India where we’re building a new Innovation and Capability Centre (ICC) in Bangalore.

We’re growing, fast, and for you that means many exciting opportunities to develop your career at Telstra. Join us on this exciting journey, and together, we’ll reimagine the future.

Why Telstra?

• We're an iconic Australian company with a rich heritage that's been built over 100 years. Telstra is Australia's leading Telecommunications and Technology Company. We've been operating internationally for more than 70 years.
• International presence spanning over 20 countries.
• We are one of the 20 largest telecommunications providers globally
• At Telstra, the work is complex and stimulating, but with that comes a great sense of achievement. We are shaping the tomorrow's modes of communication with our innovation driven teams.

Telstra offers an opportunity to make a difference to lives of millions of people by providing the choice of flexibility in work and a rewarding career that you will be proud of!

About the team

Being part of Networks & IT means you'll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy.

With us, you'll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitisation programme.

Focus of the role

Any new engineer who comes into data chapter would be mostly into developing reusable data processing and storage frameworks that can be used across data platform.

About you

To be successful in the role, you'll bring skills and experience in:-

Essential 

• Hands-on experience in Spark Core, Spark SQL, SQL/Hive/Impala, Git/SVN/Any other VCS and Data warehousing
• Skilled in the Hadoop Ecosystem(HDP/Cloudera/MapR/EMR etc)
• Azure data factory/Airflow/control-M/Luigi
• PL/SQL
• Exposure to NOSQL(Hbase/Cassandra/GraphDB(Neo4J)/MongoDB)
• File formats (Parquet/ORC/AVRO/Delta/Hudi etc.)
• Kafka/Kinesis/Eventhub

Highly Desirable

Experience and knowledgeable on the following:

• Spark Streaming
• Cloud exposure (Azure/AWS/GCP)
• Azure data offerings - ADF, ADLS2, Azure Databricks, Azure Synapse, Eventhubs, CosmosDB etc.
• Presto/Athena
• Azure DevOps
• Jenkins/ Bamboo/Any similar build tools
• Power BI
• Prior experience in building or working in team building reusable frameworks,
• Data modelling.
• Data Architecture and design principles. (Delta/Kappa/Lambda architecture)
• Exposure to CI/CD
• Code Quality - Static and Dynamic code scans
• Agile SDLC      

If you've got a passion to innovate, succeed as part of a great team, and looking for the next step in your career, we'd welcome you to apply!

___________________________

We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.

To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit tel.st/thrive.

• Demonstrate, present and promote services to salons, spas & gyms (Beauty & Wellness Industry)
• Should have excellent verbal & presentation skills
• Knowlege of local language is a must
• Should be inovative and target driven
• Willing to travel
• Demonstrate honesty & integrity

1. Hands on Expert in UI/Front End Engineering/Development specifically React,
2. Redux, NodeJs who can code, design and own front end development and code.
3. Experience in React v16, Reach Redux, React Fibre and JavaScript advance (ES6+),
4. Experience in Advance State Management [Example: Redux, Mobx, RxJs, GraphQL etc]
5. Good experience on UI framework like Angular JS/ Vue JS/ Ext JS/jQuery/ React JS or equivalent SPA framework
6. Experience in HTML5, Javascript CSS3, ExpressJs, GraphQL
7. Strong understanding of Rest APIs, Web Sockets, Service Workers, HTTP/S Protocol, Web Security and Cloud Infrastructure, CI/CD, Web Packaging and Optimization, UX and Styling.
8. Expertise in Advance Java-Scripts
9. Knowledge and experience with Data Structure and Design methodologies.
10. Problem solving skill
11. Good experience working in Agile/Scrum teams
12. Good written and verbal communication skills.

Requirements:

• Academic degree (BE / MCA) with 3-10 years of experience in back-end Development.
• Strong knowledge of OOPS concepts, Analyzing, Designing, Development and Unit testing
• Scala technologies, AKKA, REST Webservices, SOAP, Jackson JSON API, JUnit, Mockito, Maven
• Hands-on experience with Play framework
• Familiarity with Microservice Architecture
• Experience working with Apache Tomcat server or TomEE
• Experience working with SQL databases (MySQL, PostgreSQL, Cassandra), writing custom queries, procedures, and designing schemas.
• Good to have front end experience (JavaScript, Angular JS/ React JS)