Data Analyst Lead

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

1. Develop and maintain custom modules, workflows, and scripts within the LOANIQ platform.
2. Build Java-based interfaces and services to integrate LOANIQ with other banking applications (core banking, risk systems, reporting, etc.).
3. Analyze business requirements and translate them into technical specifications and design documents.
4. Enhance existing LOANIQ functionality to meet evolving regulatory and business requirements.
5. Perform code reviews, unit testing, and ensure CI/CD compliance for releases.
6. Collaborate with cross-functional teams including BA, QA, Infrastructure, and Support to deliver projects on time.
7. Support production environments, investigate issues, and provide long-term solutions.
8. Act as a technical SME on LOANIQ-related queries and mentor junior developers when needed.

1. Bachelor's degree in Finance, Accounting, or related field. Master's degree or professional certification (e.g., CPA, CMA) preferred.
2. Minimum of 5 years of experience in finance or accounting roles, with extensive hands-on experience using Tally software.
3. Strong understanding of financial principles, accounting standards, and tax regulations in India.
4. Proficiency in Tally software, including configuration, customization, and report generation.
5. Excellent analytical skills and attention to detail, with the ability to interpret financial data accurately.
6. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
7. Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.
8. Knowledge of Indian taxation laws and regulations, including GST and TDS requirements.

Note:Preferring only Female Candidates.

Responsibilities

• Develop and implement HR strategies and initiatives aligned with the overall business strategy
• Bridge management and employee relations by addressing demands, grievances or other issues
• Manage the recruitment and selection process
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization
• Nurture a positive working environment
• Oversee and manage a performance appraisal system that drives high performance
• Maintain pay plan and benefits program
• Assess training needs to apply and monitor training programs
• Report to management and provide decision support through HR metrics
• Ensure legal compliance throughout human resource management

• 3-6 years of industry work experience 
• Proven experience as a Full Stack Developer or similar role 
• 1+ years of web application development with JavaScript as full stack 
• End-to-end full stack experience designing and building scalable applications 
• Excellent JavaScript / Typescript skills 
• Strong proficiency in React (hooks knowledge is plus) 
• Strong proficiency in Nodejs 
• Good HTML5 / CSS3 skills with expertise on responsive web design 
• Must have development experience in Micro services using NodeJS and TypeScript 
• Experience with NoSQL databases such as MongoDB, mongoose, aggregation framework and Redis 
• Experience with Web sockets and related frameworks (e.g. Socket.IO) 
• Experience in using and developing GraphQL APIs 
• Knowledge of code versioning tools such as Git, Mercurial or SVN. 
• Open minded to take up any challenge, research and provide solutions

Required Skills:

ReactJS, Node.JS, HTML, CSS, Javascript, NoSQL    

we are looking to add new talent to our ruby on rails team. You will be responsible for developing and maintaining the server-side logic for the central database, testing performance, troubleshooting, and integrating front-end elements into the application.

Job specifications-

• Bachelor’s degree in computer science, computer engineering, or related field.
• Understanding of ruby on rails as well as libraries
• Ability to write clear, readable ruby codes.
• Problem-solving capabilities.
• Understanding of code versioning tools like- Git
• Good understanding of front-end technologies including- HTML5, JavaScript, and CSS3.
• Familiarity with MVC, Mocking, RESTful, and ORM.
• Familiarity with testing tools.