Roles and ResponsibilitiesDesign, develop, and deploy machine learning models using various algorithms such as Bayesian statistics, frequentist statistics, optimization techniques, time series analysis, reinforcement learning, NLP, etc.Collaborate with stakeholders to understand business requirements and translate them into data science solutions.Develop high-quality code in Python (Pandas, NumPy, Matplotlib) or R (base packages) for building ML models.Ensure scalability and efficiency of deployed models by monitoring performance metrics like accuracy, precision, recall etc.Communicate complex technical insights effectively through reports and presentations.Desired Candidate Profile4-8 years of experience in Data Science/Machine Learning Engineering with a strong background in finance/risk domain.Bachelor's degree in Any Specialization (B.Sc/B.Tech/B.E.).Proficiency in programming languages like Python/R; familiarity with cloud platforms like GCP/AWS/Azure; experience with big data tools like Spark/Hadoop.JD DETAILS- Data Scientist / Machine Learning Engineer - Neo soft client looking for candidates who are good in building ML Models for Financial/Risk verticals.make sure candidates have enough experience in building models. Job Title: Data Scientist / Machine Learning EngineerExperience: 4 YearsLocation: Bangalore (Lingarajapuram)Budget: 18 LPAWhat Youll DoYou will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. You’ll have the opportunity to gain new skills and build on the strengths you bring to the company.Main task Design and implement machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targetsSuccessful documentation of reusable code Achieve personal technical development and learning goalsConduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoEQualifications University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred 4 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. Stakeholder management skills with ability to communicate and work with senior management effectively Skills to communicate complex ideas effectively

Roles and ResponsibilitiesDesign, implement, and maintain CI/CD pipelines using GitLab, Helm, Kubernetes, Maven, and other tools.Collaborate with cross-functional teams to identify areas for improvement in the development process and implement changes accordingly.Ensure continuous monitoring of applications using DX-APM or similar products to detect issues before they impact users.Troubleshoot complex technical problems related to application deployment on Linux/Unix systems.Desired Candidate Profile7-12 years of experience in DevOps engineering with expertise in Agile/Scrum methodologies.Strong understanding of DevOps concepts such as automation (CI/CD), infrastructure management (IaaS), monitoring & logging.Proficiency in scripting languages like Python/Shell Scripting; familiarity with containerization technologies like Docker.JD DETAILS-Position : Devops EngineerWork Location : ChennaiThe CompanySandhata is a global consultancy providing Next Gen Engineering Services dedicated totransforming businesses. Our services span all facets of Digital Transformation, DevOps &Cloud, Integration, Automation and Low Code Application Development. Sandhata is aprivately held IT services company with bases in the UK and India operating worldwide tohelp clients deliver a 'digital first' strategy. Sandhata is currently collaborating with clientsacross various industry sectors, helping them to deliver innovative technology solutions thatstreamline business processes and drive IT efficiency.Job Overview:We are looking for a highly skilled DevOps Engineer to join our team. The ideal candidate isa strong communicator, self-organized, and adept at integrating components seamlessly.Key Responsibilities:• GitLab - Develop CI/CI Pipelines integrating with other components such a Vaultand Test Automation script.• Understand of GIT flow• Shell scripting on Linux• Understanding of Linux and Networking• Understanding on setting up application monitoring• Experience in working on an Agile/Scrum environmentNice to Have:• Helm / Kubernetes• Docker• Maven / Gradle• Java• DX-APM or similar monitoring product• Splunk• OpenShift Platform

Job Title: Openshift Engineer Location : Navi Mumbai (CBD Belapur) Employment Type : Full-time (Payment Aggregator Project) A Leading Bank Experience Required : 5+ years Work Schedule : Alternate Saturdays working Relocation : Candidates from across India are welcome to apply, but relocation to Navi Mumbai and office presence is required. Must Have Skills: 5 to 12 years of experience working with OpenShift, Kubernetes, Docker, and related container technologies. Strong expertise in CI/CD tools such as Jenkins, GitLab CI, or similar. Proficiency in scripting languages like Bash, Python, and experience with configuration management tools (e.g., Ansible, Chef, Puppet). Experience deploying and managing cloud-native solutions and familiarity with cloud platforms (AWS, Azure, Google Cloud). Excellent problem-solving skills with the ability to troubleshoot complex issues and work effectively in a fast-paced, dynamic environment. Good to Have Skills: Familiarity with banking industry standards and compliance requirements (e.g., PCI-DSS, SOX, GDPR). Experience working in payment aggregator or financial technology (FinTech) projects. Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar. Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Strong communication and teamwork skills, with experience working in cross-functional, Agile teams. Note: This role requires willingness to work alternate Saturdays as part of the project requirements. Read less