Job description Role & responsibilities Qualification Graduation degree in any stream or equivalent / Post-Graduation degree/diploma, Certification in any IAM product would be an added advantage We are looking for a of IAM resource with 5 + years of experience for one of our engagements. The resource must work from our Pune/Bangalore office and willing to work on shifts. The ideal candidate will: At least 60 months of Identity or Access Management domain experience Act as a lead and work stream participant on small- to medium-sized projects A quick learner and adaptable to changing environments Have strong analytical skills and communication skills Build strong professional working relationships with client personnel Clear understanding of IAM solution design and configuration Working in rotational shifts supporting client environment. Deliver timely and high-quality work diligently Identify issues and opportunities, and communicate them to appropriate senior member Technical Skills Required: At least 48 months of experience in Sailpoint IIQ/IDN product. Must have hands on experience of Application Onboarding specific to Sailpoint Skills to write the complex SQL queries Good understanding of REST APIs Demonstrable experience in IAM domain Management solution. Understanding of Java/Python or any other programming language. Understanding of Code repository concepts and stand process(Git) Experience in transitioning services from a implementation partner post deployment and operationalizing a IAM solution Ability to work with multiple stake holders from Security, Operations, Application Owners and Service Providers on deployment activities and enhancing the IAM solution. Good Understanding of Operating systems, Database concepts and others potential targets or endpoints for a typical IAM Solution. Good presentation and documentation skills Behavioral / team skills Excellent communication (written and verbal) and interpersonal skills Ready to work in Shifts (on 3 shift rotation pattern) Flexibility to adapt to a variety of engagement types, working hours and work environments and locations Proven ability to work creatively and analytically in a problem-solving environment Desire to learn and contribute Focused and self-motivated approach to work Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Application onboardingIIQSailPoint connectorswebservicesADFlat filelogiplexsnow connectorsJDBC

Job description Data Analytics Engineer / Data Scientist Location- Mysuru (Preferred) or Remote (India) Full-Time | 3+ Years Experience ABOUT HOPTEKAI: read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Ml LibrariesPython Data AnalyticsPandasData VisualizationSQL Decision TreePower BiAdvanced ExcelTableauPython

Job description Role Description We are seeking a skilled Python Data Analyst to join our dynamic data analytics team. This is a full-time, on-site role based in Indore. As a key member of our team, you will leverage Python to analyze data, create insightful visualizations, and develop machine learning models to drive business decisions. Only candidates currently residing in Indore or willing to relocate to Indore are eligible to apply. What you will do? Python Programming Utilize Python libraries to efficiently process and analyze data. Develop automation scripts to streamline calculations and tabulations traditionally performed using Excel pivot tables and formulas. Test, debug, and optimize Python code to ensure accuracy and efficiency. Provide technical support to end-users utilizing the developed scripts. Document code and conduct training sessions for end-users. Minimum 1 year of experience automating repetitive calculations using Python. Proficiency in at least one popular Python framework (such as Pandas, openpyxl, xlwings, NumPy, SciPy, etc.). Strong written and verbal communication skills. Advanced proficiency in MS Excel (formulas, pivot tables). Working knowledge of MS PowerPoint for reporting and presentations. Bachelor's degree Role: Data Analyst Industry Type: Emerging Technologies (AI/ML) Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Python xlwingsSciPyPandasAINumPyopenpyxl

Job description We are looking for a skilled and motivated AI/ML Engineer to join our team. The ideal candidate will design, develop, and implement machine learning models and AI-driven solutions to solve complex business problems. You will collaborate with cross-functional teams to bring scalable and innovative AI products to production. Key Responsibilities: Design, build, and deploy machine learning models and algorithms. Work with large datasets to extract meaningful patterns and insights. Collaborate with data engineers to ensure efficient data pipelines. Conduct experiments and perform model evaluation and optimization. Integrate ML models into production systems. Stay updated with the latest research and developments in AI/ML. Create documentation and communicate findings and models effectively. Requirements: Technical Skills: Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, NLP, computer vision, or reinforcement learning (as per role focus). Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. Experience with databases (SQL, NoSQL) and version control (Git). Education & Experience: Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or related field. 2-3 years of experience in machine learning or AI roles. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team environment. Excellent communication and documentation skills. Preferred Qualifications: Publications or contributions to open-source ML projects. Experience in deploying models using Docker/Kubernetes. Familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow. Role: Machine Learning Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceComputer visionVersion controlGITNoSQLGCPMachine learningOpen sourceSQLPython

Job description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer,anddo not discriminatebased onan individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived. We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD. AHEAD is looking for a Sr. Data Engineer (L3 support) to work closely with our dynamic project teams (both on-site and remotely). This Data Engineer will be responsible for hands-on engineering of Data platforms that support our clients advanced analytics, data science, and other data engineering initiatives. This consultant will build and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. The Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. The appropriate candidate must be a subject matter expert in managing data platforms. Responsibilities: A Sr. Data Engineer should be able to build, operationalize and monitor data processing systems Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset Implement custom applications using tools such as EventHubs, ADF and other cloud native tools as required to address streaming use cases Engineers and maintain ELT processes for loading data lake (Cloud Storage, data lake gen2) Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions Respond to customer/team inquiries and escalations and assist in troubleshooting and resolving challenges Works with other scrum team members to estimate and deliver work inside of a sprint Research data questions, identifies root causes, and interacts closely with business users and technical resources Should possess ownership and leadership skills to collaborate effectively with Level 1 and Level 2 teams. Must have experience in raising tickets with Microsoft and engaging with them to address any service or tool outages in production. Qualifications: 7+ years of professional technical experience 5+ years of hands-on Data Architecture and Data Modelling SME level 5+ years of experience building highly scalable data solutions using Azure data factory, Spark, Databricks, Python 5+ years of experience working in cloud environments (AWS and/or Azure) 3+ years of programming languages such as Python, Spark and Spark SQL. Should have strong knowledge on architecture of ADF and Databricks. Able to work with Level1 and Level 2 teams to resolve platform outages in production environments. Strong client-facing communication and facilitation skills Strong sense of urgency, ability to set priorities and perform the job with little guidance Excellent written and verbal interpersonal skills and the ability to build and maintain collaborative and positive working relationships at all levels Strong interpersonal and communication skills (Written and oral) required Should be able to work in shifts Should have knowledge on azure Dev Ops process. Key Skills: Azure Data Factory, Azure Data bricks, Python, ETL/ELT, Spark, Data Lake, Data Engineering, EventHubs, Azure delta, Spark streaming Why AHEAD: Through our daily

Job description NAB is looking for Analyst to join our dynamic team and embark on a rewarding career journey. Conduct in-depth research and analysis to interpret data, trends, and patterns relevant to business goals Prepare detailed reports and dashboards to support decision-making across departments Collaborate with stakeholders to gather requirements, define KPIs, and provide actionable insights Use tools such as Excel, SQL, Python, or BI software to manipulate and visualize large datasets Identify process inefficiencies and recommend strategic improvements read more Key Skills pythondata analysisoracledata analyticsbidata warehousingpower bibusiness analysisdashboardsbusiness intelligenceresearchsql serversqlexcelsalesforcetableaudata modelingcomplianceadvanced exceldata visualizationetlreporting

Job description KeySkills: MLOPS, KUBEFLOW, KUBERNETES, LAKEFS, AI LANDSCAPE, PYTHON, CONTAINERIZATION, DOCKER, CI/CD, DATA VERSIONING, ML PIPELINE ARCHITECTURE, INFRASTRUCTURE DEVELOPMENT, ML WORKFLOWS, DEPLOYMENT & MAINTENANCE Proven experience with MLOps practices and tools (Kubeflow, Kubernetes, LakeFS). Must have experience of the current AI landscape and it s applications. Proficiency in Python and familiarity with containerization tools like Docker. Strong understanding of CI/CD processes, data versioning, and ML pipeline architecture. Excellent problem-solving skills and ability to work in a collaborative team environment. Key Responsibilities: Infrastructure Development: Design and develop scalable ML pipelines integrating LakeFS for data versioning and Kubeflow for orchestrating ML workflows. Should have deep expertise in building & scaling Kubernetes & Docker Containers. Deployment & Maintenance: Deploy, manage, and monitor Kubernetes clusters to efficiently run machine learning workloads. CI/CD Implementation: Build and optimize continuous integration and continuous delivery pipelines for rapid model updates. Collaboration: Work closely with data scientists and software engineers to integrate ML models into production environments and troubleshoot performance issues. Experienced Kubernetes Developer to design, build, and maintain our machine learning infrastructure (Hybrid) Role: Search Engineer Industry Type: Recruitment / Staffing Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills continuous integrationArchitectureMachine learningInfrastructure developmentInfrastructureDeploymentManagementTroubleshootingMonitoringPython

Job description Location: Remote Notice Period: Immediate Joiners Only About the Role We are looking for a highly motivated and skilled Software Engineer with 24 years of hands-on experience in backend product development. This is an excellent opportunity for developers who thrive in dynamic, fast-paced environments and are passionate about building scalable, maintainable, and efficient systems. If you enjoy solving complex problems and working with modern technologies, wed love to hear from you! Key Responsibilities Design and develop robust, scalable, and maintainable backend systems. Apply strong programming fundamentals including data structures, algorithms, and design patterns. Collaborate with cross-functional teams in an Agile environment to deliver high-quality software solutions. Participate in architectural and design discussions to shape product evolution. Write clean, efficient, and well-documented code adhering to best industry standards. Conduct regular code reviews and contribute to team knowledge sharing and mentorship. Drive experimentation and adoption of new technologies to enhance product capabilities. Create architectural designs for new solutions, and own technical decisions for your modules. Required Qualifications and Skills Education: B.Tech/M.Tech in Computer Science or a related field from a reputed institution. Experience: 24 years of experience in a product-based development environment. Strong grasp of algorithms, data structures, and their time-space complexities. Solid experience in Golang (Must). Experience with Python or Java is a plus. Proficiency in object-oriented programming and design patterns. Hands-on experience with Databases (SQL/NoSQL) and Linux/Unix environments. Strong understanding of software development life cycle (SDLC) and Agile methodologies. Excellent problem-solving skills and attention to detail. Good communication skills and the ability to work independently and within a team. What Youll Get to Do Innovate and implement best practices to improve team productivity and product quality. Participate in and drive code reviews, design reviews, and architecture discussions. Evaluate and introduce new tools, technologies, and frameworks to the tech stack. Influence and implement the long-term technology vision for the product. Design and develop new architectures and solutions for critical system components. Be responsible for technology and tool decisions within your domain. Role: Software Developer in Test (SDET) Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: B.Tech/B.E. in Any Specialization PG: M.Tech in Any Specialization Key Skills UnixBackendLinuxSoftware development life cycleProgrammingData structuresObject oriented programmingSDLCSQLPython

Job description We are seeking a highly skilled and motivated Data Scientist to join us on a contract basis. This is an exciting opportunity to contribute to Demand Forecast & Replenishment, Price Optimization, ML and AI Implementation, Learning Solutions, Warehouse Management, Supply Chain Planning, Category Management, Order Management and leverage your expertise to drive data-informed decisions. You will work closely with various stakeholders to analyze complex datasets, develop predictive models, and provide actionable insights. Responsibilities: Collect, clean, and preprocess large and diverse datasets. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Develop and implement machine learning models for tasks such as classification, regression, clustering, and time series forecasting etc Evaluate model performance using appropriate metrics and iterate to improve accuracy and reliability. Communicate findings and insights effectively through clear visualizations and presentations to both technical and non-technical audiences. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Document methodologies, code, and results thoroughly. Contribute to the development and improvement of our data science infrastructure and best practices. Requirements: Deep understanding of data science principles and methodologies. A Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field is a plus, but equivalent in-depth knowledge and practical experience will also be considered. Proven experience (typically 10+ years) working as a Data Scientist or in a similar role. Strong proficiency in programming languages such as Python and R. Experience with relevant data science libraries and frameworks (eg, statsmodels, scikit-learn, TensorFlow, PyTorch, pandas, NumPy). Solid understanding of statistical modeling, machine learning algorithms, and their underlying principles. Experience with database systems and SQL. Excellent data visualization skills using tools such as Matplotlib, Seaborn, PowerBi or Tableau. Strong analytical and problem-solving abilities with a keen attention to detail. Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly and concisely. Ability to work independently and collaboratively within a team environment. Preferred Qualifications: Experience with cloud computing platforms (eg, AWS, Azure, GCP). Familiarity with big data technologies (eg, Spark, Hadoop). Experience in JDA or Blue Yonder tools. Experience with deploying and monitoring machine learning models in production. Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Order managementComputer scienceCloud computingData analysisAnalyticalMachine learningWarehouse managementForecastingMonitoringSQL

Job description Role & responsibilities Training and Delivery: Conduct training sessions in colleges and institutions, focusing on Technical, Aptitude, verbal, and soft skills development. Facilitate interactive and engaging training programs tailored to the needs of the audience. Travel to different colleges to deliver on-site training programs. Content Development: Create and update training content, modules, and presentations. Design questionnaires, assessments, and oth Collaborate with the L&D team to ensure high-quality content delivery. In-House Responsibilities: Support the team in developing innovative learning strategies and approaches. Assist in planning and coordinating training schedules and logistics. Participate in team meetings to discuss progress, feedback, and improvements. Preferred candidate profile Education Qualification: For Aptitude Trainer Role: MSc in Math or any related field. For Verbal & Soft Skills Trainer Role: MA in English or related fields. For Technical Trainer Role: MTech or related fields. Experience: Freshers are encouraged to apply. Required Skills: Strong communication and interpersonal skills. Ability to engage and connect with diverse groups of learners. Willingness to travel extensively to colleges and training centers. Basic proficiency in creating and delivering presentations. A proactive and self-motivated attitude towards learning and professional development. Why Join Us? Opportunity to build a career in the Learning & Development domain. Hands-on experience in training delivery and content creation. Exposure to working with diverse educational institutions. A supportive and collaborative work environment. If you are a passionate individual with the zeal to teach and learn, we encourage you to apply and be a part of our dynamic L&D team. Role: Teaching & Training - Other Industry Type: Education / Training Department: Teaching & Training Employment Type: Full Time, Permanent Role Category: Teaching & Training - Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills AptitudeJavaProblem SolvingC Programming LanguagePython TrainingProgrammingC Plus Plus