Big Data Developer

Job Profile: Entrepreneur in Residence (EIR) at Founders Office

Location: Chembur, Mumbai

Reports to: Founders

Job Type: Full-Time

Job Description

Position Overview: AXS Solutions is seeking a dynamic and driven Entrepreneur in Residence (EIR) to join the Founders Office. The ideal candidate will work closely with the founders to drive the growth and expansion of AXS in various dimensions, including business development, strategic partnerships, innovation, and operational efficiency. This role offers a unique opportunity to be at the heart of AXS’s growth strategy, working on high-impact projects and initiatives.

Key Responsibilities:

1. Strategic Growth Initiatives:

• Identify and develop new business opportunities and markets for expansion.
• Collaborate with the founders to define and implement strategic growth initiatives.
• Conduct market research and analysis to inform strategic decision-making.

1. Business Development:

• Lead efforts to establish and maintain strategic partnerships and alliances.
• Explore new revenue streams and develop plans to capitalize on them.
• Assist in negotiations and closing deals with key partners and clients.

1. Innovation and Product Development:

• Work with cross-functional teams to drive innovation and product development.
• Identify emerging trends and technologies that could impact AXS’s business.
• Develop and oversee pilot projects to test new ideas and concepts.

1. Operational Efficiency:

• Analyze and improve existing business processes to enhance efficiency and effectiveness.
• Develop and implement operational strategies to support growth objectives.
• Monitor key performance indicators (KPIs) and metrics to track progress and identify areas for improvement.

1. Leadership and Mentorship:

• Mentor and support junior team members and emerging leaders within the organization.
• Foster a culture of innovation, collaboration, and continuous improvement.

Key Skills and Qualifications:

• Education: Bachelor’s degree in Business, Economics, Engineering, or a related field; MBA or advanced degree preferred.
• Experience: Minimum of 3-7 years of experience in business development, strategy, consulting, or a related field; experience in a startup environment is a plus.
• Entrepreneurial Mindset: Proven track record of entrepreneurial success, either as a founder or in a leadership role in a high-growth company.
• Strategic Thinking: Strong strategic and analytical thinking skills, with the ability to identify and capitalize on growth opportunities.
• Business Acumen: Deep understanding of business operations, financial planning, and market dynamics.
• Leadership: Strong leadership and mentoring skills, with the ability to inspire and motivate teams.
• Communication: Excellent verbal and written communication skills, with the ability to effectively present ideas and influence stakeholders.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.

Personal Attributes:

• Proactive and Results-Driven: Takes initiative and is focused on achieving tangible results.
• Innovative: Creative thinker who is always looking for new ways to solve problems and create value.
• Collaborative: Team player who works well with others and fosters a collaborative work environment.
• Resilient: Able to handle setbacks and challenges with a positive attitude and persistence.

Experience: 2 - 4 yrs

CTC: As per industry std.

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Job Description

We are looking for a hands-on Tech Lead – Java with strong software engineering fundamentals, a deep understanding of Java-based backend systems, and proven experience leading agile teams. This role involves a balance of individual contribution and technical leadership — mentoring developers, designing scalable architectures, and driving the success of product delivery in fast-paced environments.

Key Responsibilities

• Lead the end-to-end design, development, and deployment of Java-based applications and RESTful APIs.
• Collaborate with product managers and architects to define technical solutions and translate business requirements into scalable software.
• Guide and mentor team members in best coding practices, design patterns, and architectural decisions.
• Drive code reviews, technical discussions, and ensure high code quality and performance standards.
• Troubleshoot critical production issues and implement long-term fixes and improvements.
• Advocate for continuous improvement in tools, processes, and systems across the engineering team.
• Stay up to date with modern technologies and recommend their adoption where appropriate.

Required Skills

• 5+ years of experience in Java backend development with expertise in Spring/Spring Boot and RESTful services.
• Solid grasp of Object-Oriented Programming (OOP), system design, and design patterns.
• Proven experience leading a team of engineers or taking ownership of modules/projects.
• Experience with AWS Cloud services (EC2, Lambda, S3, etc.) is a strong advantage.
• Familiarity with Agile/Scrum methodologies and working in cross-functional teams.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and leadership skills.

About HummingWave

HummingWave is a leading IT product development company specializing in building full-scale application systems with robust cloud backends, sleek mobile/web frontends, and seamless enterprise integrations. With 50+ digital products delivered across domains for clients in the US, Europe, and Asia-Pacific, we are a team of highly skilled engineers committed to technical excellence and innovation.

Thanks

Job Description:

• Looking for a SAP SD Architect with 10 years of experience.
• Experience in working with SD contract management processes (Master data, validity, pricing, Billing Plans, and Invoicing).
• Experience in RAR is required.

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.

Location: Remote

Availability: Weekends only – especially Sundays

Compensation: Unpaid (Volunteer-based)

Cause: Supporting underprivileged children through education, mentorship & empowerment

Are you passionate about making a real difference in your community?

Unessa Foundation invites compassionate and committed individuals to join us as Weekend Volunteers in Vadodara.

What You'll Do:

• Spend quality time interacting and engaging with underprivileged children
• Support in basic learning activities, fun games, storytelling, and mentorship
• Help organize Sunday educational or creative sessions

Why Volunteer With Us?

• Gain hands-on experience working in the social impact space.
• Gain friendships and build relationships for a lifetime.
• Develop leadership, communication, and teamwork skills.
• Be part of a mission to uplift young lives and give them a brighter future.

Ideal Candidate:

• Available on Sundays (minimum 3 hours commitment)
• Passionate about children’s education and welfare
• Friendly, reliable, and eager to learn