Applied Machine Learning Engineer

💡 Hiring: Java Developer & Support Engineer (Splunk) at Deqode

🔷 Experience- 6+ Years

🔷 Mode- Remote (Night Shift)

⏱️ Notice Period - Immediate joiners

(Only immediate joiners & candidates serving notice period)

We’re looking for a talented Java Developer & Support Engineer with strong skills in Java, Application Support, Splunk, and SQL (Insert/Update queries). You’ll develop Java apps, handle L2/L3 support, write and optimize SQL queries, and use Splunk for monitoring and analysis.

✅ Must Have:

• Solid Java/J2EE development experience
• Strong troubleshooting & production support skills
• Proficiency with SQL (Insert, Update, Delete, Select queries)
• Good knowledge of Splunk dashboards & log analysis
• Strong communication & problem-solving abilities

Key Responsibilities

• Develop and execute a sales plan to meet and exceed revenue targets for Muoro’s service offerings.

• Identify, prospect, and qualify new business opportunities across the Start-ups, Mid-market, and Enterprises.

• Build strong relationships with decision-makers (CTOs, Engineering Heads, Product Leaders) and navigate complex sales cycles.

• Prepare and deliver compelling sales presentations and proposals that articulate Muoro’s unique value proposition.

• Work closely with the product and delivery teams to understand capacity, talent availability, and ramp-up timelines.

• Negotiate commercial terms and contracts with clients, ensuring profitable deals which aligns with Muoro’s business objectives.

• Track sales metrics (pipeline, conversion rate, deal size, sales cycle length), and prepare regular reporting for the Sales Director and leadership team.

• Provide feedback from the market to inform product development, pricing, and service offerings, etc.

• Represent Muoro at industry events, conferences, and client meetings.

• Use Consultative approach to promote - Data Analytics, AI, Cloud and Application development etc.

• Build a strong relationship with technology ecosystem partners.

Qualifications & Skills

• Experience: 7+ years in B2B sales in a technology services or IT consulting firm; prior experience in selling engineering services, remote teams, or managed services is a strong plus.

• Proven Track Record: Demonstrated success in closing enterprise or mid-market deals, meeting or exceeding sales quotas.

• Technical Acumen: Comfortable discussing software development, engineering team structures, and remote working models.

• Communication: Excellent verbal and written communication skills; ability to present to C-level executives.

• Negotiation: Strong negotiation skills and experience of deal structuring.

• Lead Generation: Experience in generating leads via outbound prospecting, networking, etc.

• Analytical Orientation: Ability to analyze sales data, build forecasts, and make data-driven decisions.

• Adaptability & Initiative: A self-starter who thrives in a fast-paced, scaling / high-growth environment.

• Travel: Willingness to travel (domestic/international) for client meetings.

We are seeking a talented Content Writer - Intern to craft engaging, high-quality content that resonates with target audiences and aligns with brand objectives. The ideal candidate will contribute to driving organic traffic, building brand authority, and creating value-driven content across multiple platforms. Responsibilities:

Our client is building cross-border payments infrastructure that provides businesses access to global markets, starting with those in India and subsequently other parts of South & South East Asia. They are enabling users to accept and payout money globally in a simple, reliable, compliant, transparent and financially compelling manner and are seeking an experienced Content Writer with 3-5 years of experience to join our marketing team. The ideal candidate will be responsible for creating compelling and informative long-form articles that will be used in our marketing campaigns for a B2B payment platform. The content writer will work closely with the marketing team to create engaging and high-quality content that targets our target audience.

Responsibilities:

• Write high-quality, long-form articles for our B2B payment platform that will be used in marketing campaigns
• Conduct research on relevant topics and stay up-to-date with industry news and trends
• Collaborate with the marketing team to ensure all content is aligned with our brand messaging and target audience
• Write clear, concise, and engaging content that conveys complex ideas in a simplified manner
• Optimize content for SEO and ensure all articles are formatted properly
• Edit and proofread all content before publication
• Ensure all content is delivered on time and meets our high-quality standards

Requirements:

• Bachelor's degree in English, Journalism, Communications, or related field
• 3-5 years of experience as a Content Writer, preferably in a B2B environment
• Exceptional writing and editing skills, with a keen eye for detail
• Experience with SEO optimization and content formatting
• Strong research skills and ability to synthesize information from multiple sources
• Ability to work independently and manage multiple projects simultaneously
• Excellent communication skills and ability to collaborate with cross-functional teams
• Strong work ethic and commitment to meeting deadlines

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

1.      Core Responsibilities

·        Leading solutions for data engineering

·        Maintain the integrity of both the design and the data that is held within the architecture

·        Champion and educate people in the development and use of data engineering best practises

·        Support the Head of Data Engineering and lead by example

·        Contribute to the development of database management services and associated processes relating to the delivery of data solutions

·        Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.

·        Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise

·        Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.

·        Provide support for the scoping and delivery of BI capability to internal users.

·        Identify risks and issues and escalate to Line / Project manager. 

·        Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.

·        Develop and maintain documentation in support of all BI processes.

·        Proactively identify cost-justifiable improvements to data manipulation processes.

·        Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.

·        Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.

·        Demonstrate enthusiasm and self-motivation at all times.

·        Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.

·        Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years Data Engineering / ETL development experience is essential

·        5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential

·        5 years experience of working in a structured Change Management project lifecycle is essential

·        Experience of working in a financial services environment is desirable

·        Experience of dealing with senior management within a large organisation is desirable

·        5 years experience of developing in conjunction with large complex projects and programmes is desirable

·        Experience mentoring other members of the team on best practise and internal standards is essential

·        Experience with cloud data platforms desirable (Microsoft Azure) is desirable

3.      Knowledge Requirements

·        A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential

·        Strong demonstrable knowledge of data warehouse methodologies

·        Robust understanding of high level business processes is essential

·        Understanding of data migration, including reconciliation, data cleanse and cutover is desirable

What you need to have:

• B.Tech/B.E (preferably in Computer Science Engineering) 
• 7+ years of hands-on programming experience in building data-driven REST APIs, services & platforms using advanced Java frameworks like Spring, Redis, Node.js etc. with deep focus on integration & scale.
• We also look for hands-on experience with Mysql, Elasticsearch (or Solr) and Nosql stores.
• Our evaluation starts with focus on computer science fundamentals, data structures & algorithms.
• You will have been learning new technologies every week and prefer folks who can use golang/rust for backend development and are familiar with equivalent data stores, index stores and pub-sub technologies.