Enterprise Integration Engineer, ServiceNow / Splunk (Freelance)

Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

Job Title : Full Stack Drupal Developer

Experience : Minimum 5 Years

Location : Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon (Hybrid or On-site)

Notice Period : Immediate to 15 Days Preferred

Job Summary :

We are seeking a skilled and experienced Full Stack Drupal Developer with a strong background in Drupal (version 8 and above) for both front-end and back-end development. The ideal candidate will have hands-on experience in AWS deployments, Drupal theming and module development, and a solid understanding of JavaScript, PHP, and core Drupal architecture. Acquia certifications and contributions to the Drupal community are highly desirable.

Mandatory Skills :

Drupal 8+, PHP, JavaScript, Custom Module & Theming Development, AWS (EC2, Lightsail, S3, CloudFront), Acquia Certified, Drupal Community Contributions.

Key Responsibilities :

• Develop and maintain full-stack Drupal applications, including both front-end (theming) and back-end (custom module) development.
• Deploy and manage Drupal applications on AWS using services like EC2, Lightsail, S3, and CloudFront.
• Work with the Drupal theming layer and module layer to build custom and reusable components.
• Write efficient and scalable PHP code integrated with JavaScript and core JS concepts.
• Collaborate with UI/UX teams to ensure high-quality user experiences.
• Optimize performance and ensure high availability of applications in cloud environments.
• Contribute to the Drupal community and utilize contributed modules effectively.
• Follow best practices for code versioning, documentation, and CI/CD deployment processes.

Required Skills & Qualifications :

• Minimum 5 Years of hands-on experience in Drupal development (Drupal 8 onwards).
• Strong experience in front-end (theming, JavaScript, HTML, CSS) and back-end (custom module development, PHP).
• Experience with Drupal deployment on AWS, including services such as EC2, Lightsail, S3, and CloudFront.
• Proficiency in JavaScript, core JS concepts, and PHP coding.
• Acquia certifications such as:
• Drupal Developer Certification
• Site Management Certification
• Acquia Certified Developer (preferred)
• Experience with contributed modules and active participation in the Drupal community is a plus.
• Familiarity with version control (Git), Agile methodologies, and modern DevOps tools.

Preferred Certifications :

• Acquia Certified Developer.
• Acquia Site Management Certification.
• Any relevant AWS certifications are a bonus.

Job Details

- Job Title: DevOps and SRE -Technical Project Manager

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 12-15 years

- Employment Type: Full Time

- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad

- CTC Range: Best in Industry

Job Description

Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.

Key Responsibilities

• Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
• Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
• Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
• Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
• Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
• Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
• Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
• Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
• Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
• Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
• 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
• Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
• Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
• Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
• Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
• Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
• Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
• Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
• Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
• Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.

Skills: Devops Tools, Cloud Infrastructure, Team Management

Must-Haves

DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)

Notice period - 0 to 15days only 

We are looking for an integration engineer to assist our rapidly growing customer base. As part of our integration team, you will be the primary point of contact for all integrations. You would be responsible for helping our clients integrate with OneFin APIs, configuring our system for clients and providing ongoing help to them to resolve any issues.

Responsibilities

1. Understand and explain APIs to clients. Help clients integrate OneFin APIs. Research and identify solutions to issues during integration.
2. Escalate unresolved issues to appropriate internal teams (e. g. software developers).
3. Become a product expert for clients.
4. Configure OneFin system for customized usage by clients. Identify and write internal and external technical articles or knowledge-base entries, like typical troubleshooting steps, workarounds, or best practices, how-to guides etc.
5. Automate solution of common issues using Python.
6. Help live clients resolve issues and coordinate with the development team for issue resolution.

Requirements and Qualifications:

1. Strong verbal and written communication skills.
2. Experience in writing code in Python.
3. Understanding web based systems.
4. Proficient in understanding and writing JSON.
5. Experience in SQL databases.
6. Experience working with REST APIs.
7. Excellent analytical skills, passion for pinning down technical issues, and solving problems.

https://forms.gle/4tEbPAwW7uis9PPX7

Job Title: QA Tester (Manual Testing)

Department: Technology

Location: Remote

Company: Mercer Talent Enterprise

Company Overview:

Mercer Talent Enterprise is a leading provider of talent management solutions, dedicated to helping organizations optimize their workforce. We foster a collaborative and innovative work environment where our team members can thrive and contribute to our mission of enhancing talent strategies for our clients.

Position Overview:

We are looking for a detail-oriented QA Tester to join our Lighthouse Tech Team. In this role, you will be responsible for performing manual testing of our software applications to ensure they meet the highest quality standards. You will work closely with developers and product managers to identify testing requirements and ensure that all features function as intended.

Key Responsibilities:

• Execute manual test cases and document results.
• Identify, report, and track defects in a timely manner.
• Collaborate with the development team to understand application functionality and testing requirements.
• Participate in test planning and design activities.
• Conduct regression testing and ensure that existing functionality is not affected by new changes.
• Provide feedback on usability and user experience.
• Assist in the development of testing documentation and processes.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 1+ years of experience in manual software testing.
• Strong understanding of software testing methodologies and best practices.
• Experience with defect tracking tools (e.g., Azure,JIRA, Bugzilla).
• Excellent attention to detail and analytical skills.
• Strong communication and teamwork abilities.

Benefits:

• Competitive salary and performance-based bonuses.
• Professional development opportunities.

Must have skills

3 to 6 years

Data Science

SQL, Excel, Big Query - mandate 3+ years

Python/ML, Hadoop, Spark - 2+ years

Requirements

• 3+ years prior experience as a data analyst

• Detail oriented, structural thinking and analytical mindset.

• Proven analytic skills, including data analysis and data validation.

• Technical writing experience in relevant areas, including queries, reports, and presentations.

• Strong SQL and Excel skills with the ability to learn other analytic tools

• Good communication skills (being precise and clear)

• Good to have prior knowledge of python and ML algorithms

LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

• To perform requirement analysis and oversee the implementation of architectures of project scope
• To provide customized reusable solutions of project, program or operational scope
• To develop high-quality and detailed designs
• To conduct unit testing using automated unit test frameworks and identify and address possible risk by conducting mitigation action planning
• Conducting configuration of your own work or from the team and assess the technical impact of multiple technologies/strategies
• Reviewing the work of other developers with feedback for improvement (if applicable)
• Using coding standards and best practices to ensure quality deliverables

The candidate for the role will be responsible for enabling single view for the data from multiple sources. 

• Work on creating data pipelines to graph database from data lake
• Design graph database
• Write Graph Database queries for front end team to use for visualization
• Enable machine learning algorithms on graph databases
• Guide and enable junior team members

B.Tech with 2-7 years of experience

Must Have

Hands-on exposure to Graph Databases like Neo4J, Janus etc..

1. Hands-on exposure to programming and scripting language like Python and PySpark
2. Knowledge of working on cloud platforms like GCP, AWS etc.
3. Knowledge of Graph Query languages like CQL, Gremlin etc.
4. Knowledge and experience of Machine Learning 

Good to Have

• Knowledge of working on Hadoop environment

• Knowledge of graph algorithms

• Ability to work on tight deadlines