Junior Accountant - US Accounting

As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.

Key Responsibilities:

● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.

● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.

● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.

● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.

● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.

● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.

● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.

● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.

● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.

● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.

Job requirements

Education and Experience:

• A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
• Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.

Technical Skills:

• Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
• Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
•  Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
• Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
• Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Experience building end-to-end ML systems (MLOps).
• Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
• Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
• Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
• Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
• Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
• Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.

    Soft Skills:

• Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
• Ability to work with cross-functional and cross-regional teams.
• Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
• Excellent written and verbal communication skills, comfortable with client communication.
• Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
• Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
• Possess excellent analytical and problem-solving abilities.
• Good documentation skills.
• Experienced with Agile methodologies like Scrum/Kanban

The client is an industry leader in CRM messaging solutions on SAS platform. They work with global customers across many industries including contact centers, financial services, higher education, retail, staffing, wellness, and more. Our customers range from small and mid-size businesses to large global enterprises.

As a Director of Information Systems , you will oversee and manage the organization's information technology (IT) and information systems operations. You will leverage Information systems, tools, data and analytics to support stakeholders across Product, Sales, Marketing, Operations, and Finance.

You will lead and directly manage a team of data analysts, while partnering with other teams across the organization and directly report to the COO.

Key Responsibilities:

● Collaborate with senior management to understand their data requirements and develop data management strategy aligned with the organization's goals and objectives. Define KPI around data and lead the initiatives.

● Develop and implement data architecture, which is a blueprint for how data is organized and stored within an organization. Provide necessary interventions to ensure critical business decisions are taken well in time.

● Implement master data management (MDM) processes and solutions to establish a single source of truth for critical data entities. Define data hierarchies, data models, and data stewardship responsibilities. Oversee the maintenance and synchronization of master data across systems.

● Work with other departments to identify data trends and patterns that support the organization’s objectives. This will include using data visualization tools, such as dashboards and charts, to help identify trends and insights.

● Evaluate, select, and manage vendors and service providers to ensure effective delivery of services and solutions.

● Build and manage a high-performing systems and information team.Set clear goals, performance expectations, and KPIs for the team, conducting regular performance reviews and providing guidance/feedback.

Qualifications and Skills:

● Bachelor's degree in computer science, information systems, or a related field.

● Experience ( 7-10 years) in systems management, information technology, or a related role within the SaaS industry.

● Strong knowledge of data analysis methods, tools, and best practices. Experience in Salesforce and Power BI is a must.

● Ability to do requirements analysis of business processes for efficiency, data accuracy, data control, and make data-driven recommendations

● Excellent problem-solving and decision-making skills, attention to detail, with the ability to prioritize tasks and manage multiple projects simultaneously.

● Knowledge of industry best practices and emerging trends in systems management and information technology.

● Demonstrated ability to lead and manage cross-functional teams, fostering collaboration and driving results.

● Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

Do you want to build the next BYJU'S but better? As a Senior Software Engineer at an exponential-growth startup (+30% month-over-month) you will be responsible for architecting, building, and implementing end-to-end features throughout the stack that will impact millions of students around the world across hundreds of career paths. This role is perfect for a highly-skilled engineer who wants to explore new technologies, push their skills to the limit, have creative freedom, and feel like they have significant ownership of major features that change lives around the world.

• 4+ years experience as a backend or full-stack engineer
• Expert in Node.js and serverless technologies (e.g. AWS Lambda)
• Expert in NoSQL databases (e.g. DynamoDB, Neptune)
• Expert in GraphQL APIs
• Excellent communication and interpersonal skills
• Passionate about education

• AI/ML for predictive study algorithms
• Innovative content authoring: Quantum Questions
• Hybrid DB architecture (Graph + DynamoDB)
• New interactive learning types
• Gamification, leaderboards, and achievements
• Offline mode for mobile and desktop apps
• Real-time user collaboration
• Data visualizations and insights
• NLP assistant for content authoring and imports
• And much, much, much more!

• API: Node.js, Lambda, GraphQL, AppSync
• DBs: DynamoDB, Neptune, S3
• Frontend: React.js, React native, Next.js

• Jira, Confluence, Slack, Drive, Bitrise, Sentry, GitHub, Zoom

• Market intelligence—be the expert on our buyers, who are they, how they buy and their key buying criteria.
• Understand the competitive landscape—be an expert on our competition and how they are positioned.
• Collaborate with product management and marketing communications to develop product positioning and messaging that resonate with our target buyer personas.
• Understand and document our buyer’s process, including where they get information, and the who, what, when and why behind the decisions they make. Then drive changes to our sales and marketing processes based on what you learn.
• Develop a marketing plan for the products you support in conjunction with our marketing team, including key activities and budgets to support the retention of existing customers and the acquisition of new customers.
• Assess the effectiveness of the marketing programs that support your products on an ongoing basis, and report back to the business on required changes.
• Plan the launches of net-new products and releases of existing products, and manage the cross-functional implementation of the plan.
• Act as the primary thought leader for the products you support externally, including speaking engagements and written works.
• Understand and support our sales channels; train them on the problems we solve for our buyers and users; develop internal tools and external collateral and teach them how and when to use it.

• 5+ years of product marketing experience with at least 2 years of experience in a market-facing role (e.g. delivering presentations to customers and prospects, conducting competitor analysis and market research)
• Proficient in productivity applications such as Microsoft Office, Project or Basecamp.
• Comfortable using collaboration and CRM tools such as Slack and Salesforce.
• Familiar with marketing automation tools such as Marketo, Pardot and Omniture, and Google Analytics.
• Power user of networking tools such as LinkedIn, Twitter, Facebook and Instagram.
• Exceptional ROI-tracking skills, able to prove what is –or isn’t—working
• Must be a strong public speaker, comfortable in front of large, senior groups, and a solid writer.
• Excellent people and management skills to interact with staff, colleagues, cross-functional teams and third parties. Team player!
• Must be a strong public speaker, comfortable in front of large, senior groups, and a solid writer.
• Bachelor’s degree in business or marketing; MBA preferred.
• Pragmatic Institute Certified (PMC) III or higher preferred.

Hi All,

Greetings from LMV Group

We are hiring  Female Telecallers

Education - Any graduate fresher is eligible

Age limit - 18 TO 28 years

Experience required - Fresher 0 to 6 months is required

Languages known - Telugu, English

candidate must have good communication skills.

About Client : Our client is an American company that develops, manufactures and sells solar micro-inverters, energy generation monitoring software and battery energy storage products

The Back-End engineer will develop, maintain, architect & expand cloud microservices. Codebase uses Java, Spring Boot, Mongo, REST APIs, MySQL. Applications are dockerized and hosted in AWS using plethora of AWS services.

Key Responsibilities and Outcomes

• Programming in Java + Spring Boot
• REST API with JSON, XML etc. for data transfer
• Multiple database proficiency including SQL and NoSQL (Cassandra, MongoDB)
• Ability to develop both internal facing and external facing APIs using JWT and OAuth2.0
• Familiar with HA/DR, scalability, performance, code optimizations
• Experience with working with highly performance and throughput systems
• Ability to define, track and deliver items to ones own schedule
• Good organizational skills and the ability to work on more than one project at a time
• Exceptional attention to detail and good communication skills

Minimum Qualifications

• B.E/B.Tech in Computer Science from top tier college and >70% marks
• 70% or 7 CGPA throughout in education.
• Top 100 Engineering colleges only (NIRF ranking)
• Stability in job.
• Experience with SQL + NoSQL (Preferably MongoDB)
• Experience with Amazon Web Services, JIRA, Confluence, GIT, Bitbucket
• Ability to work independently and as part of a project team
• Strong organizational skills, proactive, and accountable.
• Excellent critical thinking and analytical problem-solving skills
• Ability to establish priorities and proceed with objectives without supervision
• Ability to communicate effectively and accurately
• Clear concise written project status update throughout the project lifecycle
• Highly skilled at facilitating and documenting requirements