Microsoft Dynamics 365 Developer

Job Title: ServiceNow Developer

Location: Remote

Experience Required: 6+ Years

Type: Contract (Extendable)

We are looking for an experienced ServiceNow Developer with strong knowledge of ITOM and ITSM modules. The candidate will be responsible for developing, configuring, and customizing ServiceNow solutions as per business needs.

Responsibilities:

• Develop and customize ServiceNow applications.
• Work on ITSM modules – Incident, Problem, Change, Request, Knowledge.
• Implement ITOM modules – Discovery, CMDB, Event Management, Service Mapping.
• Integrate ServiceNow with other tools and systems.
• Troubleshoot and maintain existing ServiceNow implementations.

Requirements:

• Strong experience in ServiceNow development.
• Hands-on experience in ITSM and ITOM modules.
• Strong in JavaScript, Glide scripting, and ServiceNow workflows.
• Experience with REST/SOAP API integrations.
• ServiceNow certification preferred.

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring data engineers interested in data pipeline development, data integration, and business intelligence. The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process. 

Responsibilities: 

▪ Design, build, and maintain scalable data pipelines for structured and unstructured data sources 

▪ Develop ETL processes to collect, clean, and transform data from internal and external systems 

▪ Support integration of data into dashboards, analytics tools, and reporting systems 

▪ Collaborate with data analysts and software developers to improve data accessibility and performance 

▪ Document workflows and maintain data infrastructure best practices 

▪ Assist in identifying opportunities to automate repetitive data tasks 

Job Title: Java Backend Developer

Experience: ~3-6 years (Mid-to-Senior)

Employment Type: Full-time, Permanent

Location : Bangalore

Role Overview

As a Java Backend Developer, you’ll be responsible for designing, developing, and maintaining scalable backend systems and microservices. You’ll work with cross-functional teams to build high-performance distributed services, APIs, and data-driven applications that power business solutions.

Key Responsibilities

• Design and implement microservices and backend components using Java (8+) and Spring Boot.
• Build and consume RESTful APIs and integrate with internal/external services.
• Work with event-driven systems and messaging using Apache Kafka (producers/consumers).
• Develop and optimize databases, including SQL (e.g., MySQL/PostgreSQL) and NoSQL (e.g., MongoDB/Cassandra).
• Participate in CI/CD pipelines, automated builds, and deployments using tools like Git, Maven, Jenkins.
• Ensure code quality through unit and integration testing, documentation, and code reviews.
• Collaborate with frontend developers, QA, DevOps, and product teams following Agile methodologies.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven hands-on experience with Core Java and Spring Boot development.
• Strong understanding of microservices architecture, REST APIs, and distributed systems.
• Experience with message queues/event streaming (Apache Kafka).
• Skilled in relational and NoSQL databases and writing optimized queries.
• Comfortable with CI/CD tools (e.g., Git, Maven, Jenkins) and version control.
• Good problem-solving, debugging, and collaboration skills.

Preferred / Nice-to-Have

• Cloud platform experience (AWS / Azure / GCP).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of performance tuning, caching strategies, observability (metrics/logging).
• Agile/Scrum development experience.

Job: International Business Development Executive

🏢 Industry: BPO / Call Centre

🕒 Work Hours: 4:30 AM – 1:30 PM IST (Mon-Fri)

Location: Gurugram

🚖 Transport: Both-side cab within hiring zone

💼 Experience: 1–3 years in outbound B2B sales (Intl. BPO, Energy/Telecom preferred)

🔹 Role Overview:

• 🌏 Work with Australian clients in Energy, Telecom & Cybersecurity
• 📈 Drive B2B sales and grow business
• 🤝 Build strong client relationships

🔹 Responsibilities:

• 📞 Make outbound sales calls & convert leads
• 🏢 Connect with key decision-makers
• 📝 Maintain sales reports & client database
• 🎯 Achieve and exceed sales targets
• 💡 Understand client needs & offer solutions
• 🤝 Collaborate with internal teams for smooth service

🔹 Skills Needed:

• 💬 Excellent communication (verbal & written)
• 🚀 Outbound sales expertise & target-driven
• 🧩 Problem-solving & motivated mindset
• 💻 Tech-savvy: CRM, MS Office, Excel, PowerPoint

🔹 Education:

• 🎓 Bachelor’s (any field)
• 🎓 Postgraduate preferred

🔹 Perks:

• 💰 Competitive salary + incentives
• 🏖️ Weekends off
• 📈 Career growth & learning opportunities
• 🌟 Inclusive, vibrant, and collaborative culture
• 🌍 Exposure to international business & clients

📧 Interested? Send your resume

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

Jr. Implementation Consultant

Responsibilities:

• Coordinate with clients and coordinate wiht team members to carry out configurations and initial instance set up.
• Understand client scenarios and suggest standard configurations

Skills Required:

• You would bring in excellent communication skills
• Excellent aptitude and analytical skills
• Strong interpersonal skills and interactive skills

The Technical Lead should be well versed with Node.js, React js, AWS, Microsoft Azure, flutter, scalable cloud architecture.

He/she will be working directly under the CEO and will act as both a technology and business expert, making decisions that will impact the current and future operations of the company. 

Responsibilities:

• Setting a vision for how technology will be used in the company.

• Ensuring that the tech team meets the company’s short and long term needs.

• Outline the goals for research and development. 

• Creating timelines for the development and deployment of all product requirements. 

• Acting as a mentor to the tech team members. 

• Maintaining a consumer-focused outlook and aiding in the delivery of new features.

• Managing technology budgets and time frames.

• Driving and planning sprints and ensuring a high tech team velocity.

• Staying on top of technology trends and developments.

• Ensuring all technology practices adhere to regulatory standards.

• Ensuring that there is no system downtime and all products are working seamless.

Requirements /Qualifications:

• Exceptional communication skills (both verbal and written). 

• Self-motivated with diligent work ethic, a business acumen, enthusiastic and passionate, exceptional team management skills. 

• Should be well versed with Node.js, React js, AWS, Microsoft Azure, flutter, scalable cloud architecture.

• Extensive industry knowledge with an eye towards the future.

• Proactive and efficient time management.

• Ability to delegate efficiently. 

• Should have managed and set up teams. 

• Process orientation.

• 5+ years of experience as an Engineering head.
  
  Salary will be based upon industries standard 

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.