
-Developing Concepts and Ideas
-Oversee the Multimedia Productions
-Aligning Creative Departments and Stakeholders with their ideas.
-Understanding Client needs & Planning accordingly.
-Create and enforce design & branding guidelines.
-Manage Budgets & project resources.

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Job Title : Azure Data Scientist (AI/ML)
Experience : 5 to 10 Years
Location : Bengaluru
Work Mode : Hybrid (4 Days WFO, Tue to Fri – Non-Negotiable)
Notice Period : Immediate Joiner
💡 Role Overview :
We are looking for a highly skilled Azure Data Scientist with strong expertise in AI/ML, Python, and cloud-based data platforms. The role involves building scalable ML solutions, working on GenAI & RAG use cases, and delivering business impact through data-driven insights.
🔥 Mandatory Skills :
Python, Azure Machine Learning, Databricks, AI/ML model development (5+ yrs), Statistics & Probability, EDA & Data Modeling, Machine Learning algorithms, GenAI/RAG experience
✅ Key Responsibilities :
- Design, develop, and deploy AI/ML models to solve complex business problems
- Perform Exploratory Data Analysis (EDA) for data cleaning, discovery, and insights
- Build and optimize ML pipelines using Azure Machine Learning & Databricks
- Work on GenAI applications, RAG implementations, and advanced analytics solutions
- Collaborate with data engineers, business stakeholders, and domain experts
- Translate complex data into actionable business insights
- Manage model lifecycle (development, validation, deployment, monitoring)
- Communicate model outputs and insights to technical & non-technical stakeholders
- Drive innovation and contribute to AI/ML best practices and strategy
🧠 Required Skills (Must Have) :
- Strong experience in Python (ML/AI development)
- Hands-on with Azure Machine Learning & Databricks
- Deep understanding of Mathematics, Probability, and Statistics
- Expertise in Machine Learning & Data Science methodologies
- Experience in EDA, data visualization, and model development
- Exposure to GenAI, RAG, and ML application development
- Minimum 5+ years of experience in AI/ML model development
- Strong problem-solving and analytical skills
➕ Good to Have :
- Experience with MLOps practices
- Domain knowledge in Energy / Oil & Gas value chain
- Experience in data visualization tools
- Team collaboration or mentoring experience
🤝 What We’re Looking For :
- Strong communication & stakeholder management skills
- Ability to work in a cross-functional, global team environment
- Self-driven, adaptable, and innovation-focused mindset
📝 Interview Process :
- Geektrust Assessment (Assemble)
- Technical Interview
- Fitment Round
- Client Round
Key Requirements:
- Strong programming skills in Python and MATLAB
- Ability to develop, test, and optimize research-based models and algorithms
- Good understanding of data analysis, simulations, and problem-solving techniques
- Familiarity with technical documentation and research workflows
Preferred (Plus Point):
Prior experience working in a research environment or academic projects
Education:
Bachelor’s degree in Computer Science, Engineering (BE), or a related field.
Experience:
Minimum 2+ years of hands-on experience in Python and MATLAB.
Main tasks
- Development and maintenance of Innovative Radio Monitoring software
- Contribution of your development experience in all phases from Conception to Rollout
- Work within the framework of CI/CD and DevOps for constant real-work capability
- Collaboration in an Agile and Cross-functional team
Qualification Profile
- Completed studies or training in the field of Computer science or Software Engineering or comparable qualification
- Knowledge and 3+ years of experience in programming with C# and modern frameworks like .NET
- Passion and fun for software development in a self-organized manner
- Knowledge of Microservices and distributed systems
- Strong interpersonal skills, including a cooperation and team-based focus, experience in liaising between PMs, BAs, and testers
- Ability to communicate with both technical and non-technical people
- Practical experience with Jenkins, Kubernetes, and Docker is an advantage
Greetings from Golden Eagle It Technologies Pvt Ltd !!
Designation - Go-lang Developer
Location - Indore | Onsite
Experience - 1.5- 5 years
Job Description -
Skills - Golang, Docker, , Background Jobs , RabbitMQ
Roles and Responsibilities
- Design, architect, test, automate distributed, scalable, microservices based systems
- 3+ years of experience as a application development or similar role
- Excellent knowledge on SQL technologies like MySQL and MSSQL and NoSQL technologies like MongoDB
- Experience on application development in Golang
- Knowledge of Go routines and channel
- Knowledge of Go frameworks and API routers
- Experience in building Microservices
- Experience working in a CI/CD environment with Jenkins/CircleCI
- Extensive programming experience in Golang and Node.js
- Experience with Kubernetes, Docker and gRPC
- Extensive experience with AWS
- Experience designing/building scalable REST APIs
- Fluent in approaches to security, concurrency, debugging, performance, scalability, supportability and quality
- Ability to ramp-up quickly and contribute to a production codebase
- Understand non-functional implications to design like security, data migration, deployment, etc. background in OOPS, microservices and web-based applications.
- Experience with Agile Development (SCRUM methodology, JIRA)
- Good understanding of code versioning tools such as Git, Bitbucket, Mercurial, SVN, etc. and familiarity with continuous integration
Requirements:
- Excellent analytical skills
- Sense of ownership and pride in your performance and its impact on company’s success
- Critical thinker and problem-solving skills
- Team player
- Good time-management skills
- Great interpersonal and communication skills
- Ability to plan resource requirements from high level specifications
- Should be full time graduated (BE or B Tech or MCA) from reputed university
Contact Person: Yashswini Mandlik
About Tredence
Tredence is a global analytics service and solutions company. This is one of the fastest-growing startup in Silicon valley. We have recently raised our Series A private equity. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.
Responsibilities & Description of the role
Role requires working with cross-functional teams and involves following key responsibilities –
- Co-own the financial plan of the business unit along with the business head
- Revenue governance (including client interactions for deal closures and contracting; forecasting, revenue recognition)
- Margin governance (including cost take-out initiatives, systemic and sustainable cost control, rate hikes, cost analysis)
- Working capital governance (including unbilled reduction, timely invoicing and collection, improving debt ageing and PDD)
- Commercial Structuring and Deal pricing
- MIS for the business unit including sales performance tracking and other analytics
- People management - internal stakeholder management
- Critical attributes to success would be strong communication, cadence and resilience.
- “Can do” attitude and faster learning curve
Must have Skills
- CA/MBA Finance from Tier I college with 4-5 years of experience
- Proven working experience as a Business Finance Partner
- Experience with creating data models
- Experience with general ledger functions and the month-end/year end close process
- Excellent accounting software user and administration skills
- Working knowledge of Microsoft Office, BI tools, Oracle Netsuite
Why join Tredence?
There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world.
Tredence 5 core values
- Think Impact
- Be Entrepreneurial
- Constantly curious
- Do the right thing
- Pursue Excellence
• Graduation is mandatory.
• Experience in marketing or sales.
• Must have the knowledge of B2B Sales
• Handle the Business Clients & explain about business model to them.
• Experience in management may be advantageous.
• Understanding and knowledge of Tele sales and marketing.
• Strong analytical, organizational, and creative thinking skills.
• Excellent communication, interpersonal, and customer service skills.
• Knowledge of basic Ms excel and report writing.
• The ability to understand and follow company policies and procedures.
• The ability to work under pressure.
At Cypherock, We are disrupting the current financial system by increasing the adoption of Blockchain-based digital assets through better key management solutions. We build "Worlds' first products" from India, work at the intersection of Blockchain, Security, Embedded Hardware & Cryptography, and have worked with companies like Google, Blockgeeks, Samsung, Lockheed Martin, Apollo Munich, Bank of America amongst others.
As the primary person responsible for operations, we think it will be a great fit if -
- You previously worked in supply chain or operations where hardware was being built and have prior experience dealing with overseas vendors.
- You have a mechanical background and take care of the QA of the product being built for mass adoption of Crypto.
- You do not shy away from taking responsibility and are comfortable doing everything non-technical.
If we decide to work together, we believe you would be a key team member who helps the company achieve the hockey stick growth that it needs to succeed.
Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results











