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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.
We are seeking a Senior Technical Engineer to provide L2/L3 support for enterprise network infrastructure including SD-WAN, Security, Wireless, and NAC solutions.
Key Responsibilities
- Troubleshoot complex network issues (LAN/WAN/SD-WAN)
- Manage Firewall policies and security configurations
- Support Cisco ISE (NAC) deployments and troubleshooting
- Handle WiFi controller and access point configurations
- Work on Zscaler and secure internet gateway issues
- Coordinate with OEM/vendor TAC teams
- Perform root cause analysis (RCA)
- Guide junior engineers
Required Skills
- Strong knowledge of Routing & Switching
- Experience with SD-WAN (Viptela or similar)
- Firewall experience (Palo Alto / Fortinet / Cisco / Checkpoint)
- Cisco ISE knowledge
- Wireless troubleshooting experience
- Understanding of security best practices
Experience
- 4–8 years in Network Operations / Enterprise Networking
We are looking for a DevOps Engineer with hands-on experience in managing production infrastructure using AWS, Kubernetes, and Terraform. The ideal candidate will have exposure to CI/CD tools and queueing systems, along with a strong ability to automate and optimize workflows.
Responsibilities:
* Manage and optimize production infrastructure on AWS, ensuring scalability and reliability.
* Deploy and orchestrate containerized applications using Kubernetes.
* Implement and maintain infrastructure as code (IaC) using Terraform.
* Set up and manage CI/CD pipelines using tools like Jenkins or Chef to streamline deployment processes.
* Troubleshoot and resolve infrastructure issues to ensure high availability and performance.
* Collaborate with cross-functional teams to define technical requirements and deliver solutions.
* Nice-to-have: Manage queueing systems like Amazon SQS, Kafka, or RabbitMQ.
Requirements:
* 4+ years of experience with AWS, including practical exposure to its services in production environments.
* Demonstrated expertise in Kubernetes for container orchestration.
* Proficiency in using Terraform for managing infrastructure as code.
* Exposure to at least one CI/CD tool, such as Jenkins or Chef.
* Nice-to-have: Experience managing queueing systems like SQS, Kafka, or RabbitMQ.
Position: Business Development Manager
Shift Timing: 10 AM to 7 PM - Monday to Saturday (Remote)
Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/ Location: Vijayawada, Andra Pradesh
Language: English
Salary: 5 LPA to 7.20 LPA
We are looking for a motivated and ambitious Business Development Manager to expand our clientele. You will be responsible for applying different sales strategies and work with dedication to increase sales. Your ultimate goal will be to drive sustainable financial growth by boosting sales and maintaining strong client relationships.
Requirements:
• Bachelor’s degree in business, marketing or related field.
• 4 - 8 Years of Experience in sales, marketing or related field.
• Strong communication skills and IT fluency.
• Ability to manage complex projects and multi-task.
• Excellent organizational skills.
• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
• Proficient in Word, Excel, Outlook, and PowerPoint.
• Comfortable using a computer for various tasks.
Responsibilities:
• Develop a growth strategy focused both on financial gain and customer satisfaction
• The responsibilities of a Sales Manager Own recruiting, objectives setting, coaching and performance monitoring of sales representatives. • Prepare sales contracts ensuring adherence to law-established rules and guidelines • Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support.
- Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
- Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
- Own the automation of product analytics through good SQL knowledge
- Develop early warning metrics for production and highlight issues and breakdowns for resolution
- Resolve client escalations and concerns regarding key business metrics
- Define and own execution
- Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
- Deliver data-backed analysis and statistically proven solutions
- Research and implement best practices
- Mentor team of analysts
Qualifications and Education Requirements
- B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
- Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines
Skills needed to excel
- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
analyses - Excellent understanding of retention, churn, and acquisition of user base
- Ability to employ statistics and anomaly detection techniques for data-driven
analytics - Ability to put yourself in the shoes of the end customer and understand what
“product excellence” means - Ability to rethink existing products and use analytics to identify new features and product improvements.
- Ability to rethink existing processes and design new processes for more effective analyses
- Strong SQL knowledge, working experience with Looker and Tableau a great plus
- Strong commitment to quality visible in the thoroughness of analysis and techniques employed
- Strong project management and leadership skills
- Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
- Ability to coach and mentor analysts on technical and analytical skills
- Good knowledge of statistics, basic machine learning, and AB Testing is
preferable - Experience as a Growth hacker and/or in Product analytics is a big plus
• 5 to 10 years of work experience as a .net developer
• Proficiency in building web-based applications
• In-depth knowledge of the .net languages and database - asp.net web API, c# - asp.net MVC - SQL
• In-depth knowledge angularjs, service stack
• Familiarity with identity (3rd party)
• Proficiency using git version control.
• Familiarity with agile environments
• Troubleshooting abilities
• Good communication skills
• "Azure web app, azure storage "analyze system requirements and prioritize tasks
• Write clean, testable code using .net programming languages
• Develop technical specifications and architecture
• Test and debug various .net applications
• Review and refactor code
• Deploy fully functional applications
• Upgrade existing programs
• Document development and operational procedures
1. ROLE AND RESPONSIBILITIES
1.1. Implement next generation intelligent data platform solutions that help build high performance distributed systems.
1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
1.3. Ensure agile delivery processes.
1.4. Work collaboratively with stake holders including product and engineering teams.
1.5. Build best-practices in the engineering team.
2. PRIMARY SKILL REQUIRED
2.1. Having a 2-6 years of core software product development experience.
2.2. Experience of working with data-intensive projects, with a variety of technology stacks including different programming languages (Java,
Python, Scala)
2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
3. Optional Skill Required:
3.1. Understanding of Big Data technologies and Machine learning/Deep learning
3.2. Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
4. PREFERRED SKILLS
4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
Java
Mandatory:
- Strong expertize in Java/J2EE(4-7 years of experience)
- Strong expertize in Microservices, SpringBoot
- Java including multithreading and concurrency
Preferred skills :
- Experience in Virtualization, SDN, NFV, Yang, Netconf
- Good Knowledge on Networking
- Multithreading and concurrency
Platform for creators to build communities and monetise them Social Networks have become more media platforms than “social” platforms. They are not designed to make real human connections. Demand for more intimate online places is higher than ever. Communities are in huge demand! Also, these “Ad-driven” platforms only reward top creators. Most creators are left out - no matter how engaged their audience is. They have to constantly beat algorithms to reach out to their own audience. Over 50 million people around the world consider themselves creators. 97% of them aren’t getting paid. As a result creators are flocking to platforms like Slack, Discord, Whatsapp & Telegram - none of which were built either for community engagement or creator monetisation. Community creators have to go through the pain of managing multiple third party tools to engage and monetise their community. LikeMinds helps creators to convert their audience into a branded private community. They can monetise it by selling digital products like memberships, group chats, events, consultations and courses. As a platform purpose-built for community entrepreneurs, LikeMinds has inbuilt tools for member acquisition, onboarding, retention, moderation, monetisation, and referrals. Our platform enables creators to drive high engagement and belonging via chat rooms, events, polls, member directory, and rewards. These features are in addition to powerful business tools like community website, subscription management, event reminders, analytics dashboard, cohort creation, in-app banners, data export, and much more. Custom integrations are also available for creators with existing assets. In the last few months, we have helped 100+ creators monetise their communities. These include entertainers, fitness & wellness trainers, professional domain experts, language instructors, life coaches, financial experts, micro-entrepreneurship coaches, and exam prep coaches. We are a team of entrepreneurs, techies and community builders with credible backgrounds supported by 2 large VCs
Skills Required -JavaScript, CSS, HTML 5, Angular -Strong knowledge of Angular is a must -Fluent in responsive design and mobile / tablet UI / UX -Web mobile (touch devices: mobiles and tablets) experience is expected -UI Performance: should have hands-on experience of optimizing page load, rendering, caching -Good understanding of AJAX and its UI implications -Understanding of REST Apis -Have worked on high scale growth projects in the past -Prior experience working in a tech startup is a plus
- IND AS & IFRS based ESOP Accounting & Disclosures for clients, quarterly as well as yearly.
- Perform Business valuation for clients from various industries using appropriate model.
- Fair valuation of Options using Black & Scholes Model & Binomial Model.
- Prepare report on valuations, accounting & disclosures.
- Tracking revenue and raising Invoice on completion of assignments
- Maintaining Dashboards and MIS of assignments for Management
- Co-ordinating with Technology team for Bug fixing, Customizations, new developments
- Co-ordinating with Operations team for procurement and understanding client’s MIS
Inside sales and marketing intern to make calls, follow-ups, set up appointments. E-mail
communication, mailing marketing materials, and corresponding packets to potential
customers. Required to create content, communicate online, and help to build a brand’s
reputation, with the ability to understand target audiences. Knowledge of how to best
communicate with potential and existing customers, provide verbal responses, to qualify the
individual communicating with essentials. Social Media posting.
IT Sales





