Java Development experience with Angular OR React Developing and maintaining Java EE applications and Spring Boot applications Hands on experience in ORM framework like Hibernate MongoDB Kafka Integrating and exposing Web services/API (SOAP and RESTful) Creating and debugging both batch and online JAVA programs. Knowledge of Azure DevOps and Kubernetes Responsible for technical analysis and design, code, unit testing and coordination with EQA team during testing phase. Support UAT and fixing bugs. Support during production releases and provide post implementation support. Strong analytical & problem-solving skills Analyze Project requirement and coordination with multiple team. Excellent oral and written skills to ensure crisp and clear communication with Client Experienced in working in Agile environment. Banking domain experience is preferable

Project Manager 11-13 Yrs Seasoned project manager Should be able to lead the team of 15+ members from the management perspective Should be able to connect with stakeholders

5+ years of DS and AI/ML project implementation experience in one of the cloud environments (AWS/Azure/GCP). Advanced / intermediate level certification is a plus Hands-on experience in data handling using SQL and advanced analytics tools such as Python Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions Experience in stakeholder management, driving project governance, and linking analytics to business value delivered Knowledge of Deep Learning models and its applications in Natural Language Processing (NLP), AI/GenAI and Computer Vision(CV) in solving business problems

Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools. Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. Optimize inference pipelines for performance, latency, and scalability. Collaborate with product managers and data scientists to prototype and productionize AI features. Stay updated on recent advancements in Generative AI and autonomous agents. Required Qualifications: 3 4 years of hands-on experience in Machine Learning / Deep Learning, with at least 1 2 years in Generative AI and/or AI Agents. Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. Solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning. Familiarity with agent orchestration frameworks and LLM tool chaining.

Strong hands-on experience with .NET Core/Framework, C#, and related Microsoft technologies. Proficiency in Angular (latest versions) and TypeScript. Experience with database technologies such as SQL Server and Entity Framework. Knowledge of Microservices architecture, RESTful APIs, and modern design principles. Leadership Skills: Proven ability to lead and mentor technical teams. Strong problem-solving skills and a results-oriented mindset. Tools and Frameworks: Experience with version control systems like Git. Familiarity with DevOps tools (e.g., Jenkins, Azure DevOps) and cloud platforms (e.g., Azure, AWS). Other Requirements: Bachelor s degree in computer science, Information Technology, or a related field. Excellent verbal and written communication skills. Strong organizational skills with attention to detail. 6-8 years of experience of overall experience 3+ years of experience as a Technical Lead

10+ years of experience in product management, preferably in marketing with FMCG domain Proven track record of successfully launching and managing products. Experience with agile development methodologies. Skills: Strong analytical and problem-solving skills. Manage both internal and external stakeholders Financial estimations Negotiation skills Excellent communication and interpersonal skills. Ability to prioritize and manage multiple projects across multiple products simultaneously. Strong understanding of user experience and design principles. Familiarity with product analytics tools (e.g., Google Analytics, Mixpanel). Basic technical understanding. Education: Bachelor s degree in engineering or equivalent experience.

Experience on webMethods development, Design, Implementation, Integration and Maintenance of enterprise Integration. Integration experience with Software AG webMethods suite - utilizing webservices and enterprise service bus toolset(Software AG webMethods 10.x preferred). Expert technical knowledge and experience with enterprise system Integration Technologies. Knowledge on components like Integration Server, Designer, UM, MWS, Wm Deployer. Database development technologies and platforms including relational database design, development, and performance considerations, Stored Procedures. Perform code and configuration deployments using cross Vista. Strong in implementing integration solutions using integration methods and Technologies covering Web Services, SOAP, JSON,REST APIs and XML. Software AG API Gateway Knowledge is advantage.

Required Skills and Qualifications 1. Technical Expertise: a. Strong hands-on experience with .NET Core/Framework, C#, and related Microsoft technologies. b. Proficiency in Angular (latest versions) and TypeScript. c. Experience with database technologies such as SQL Server and Entity Framework. d. Knowledge of Microservices architecture, RESTful APIs, and modern design principles. 2. Leadership Skills: a. Proven ability to lead and mentor technical teams. b. Strong problem-solving skills and a results-oriented mindset. 3. Tools and Frameworks: a. Experience with version control systems like Git. b. Familiarity with DevOps tools (e.g., Jenkins, Azure DevOps) and cloud platforms (e.g., Azure, AWS). 4. Other Requirements: a. Bachelors degree in computer science, Information Technology, or a related field. b. Excellent verbal and written communication skills. c. Strong organizational skills with attention to detail. d. 6-8 years of experience of overall experience e. 3+ years of experience as a Technical Lead

Android developer --- 3-5 Yrs _ Location: Kandivali, Mumbai (Work from Office) Sound knowledge of Android platform Should have used Java and Kotlin both on Android platform Well versed with design patterns

Android developer --- 6-8 Yrs _ Location: Kandivali, Mumbai (Work from Office) Sound knowledge of Android platform Should have used Java and Kotlin both on Android platform Well versed with design patterns

The JD for AI/Ml programmer is given below: Key Responsibilities: Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI , or similar agent orchestration tools. Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. Optimize inference pipelines for performance, latency, and scalability. Collaborate with product managers and data scientists to prototype and productionize AI features. Stay updated on recent advancements in Generative AI and autonomous agents. Required Qualifications: 34 years of hands-on experience in Machine Learning / Deep Learning , with at least 1–2 years in Generative AI and/or AI Agents . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , Transformers (Hugging Face) . Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. Solid understanding of prompt engineering , fine-tuning , RAG (Retrieval-Augmented Generation) , and multi-modal learning . Familiarity with agent orchestration frameworks and LLM tool chaining . Strong problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases). Knowledge of Reinforcement Learning or Meta-learning for agent training. Experience contributing to open-source projects or published papers in the field of AI.

Key Responsibilities: Design, develop, and maintain mainframe applications using COBOL, JCL, DB2, and CICS. Analyze business requirements and translate them into technical specifications. Perform unit testing, integration testing, and support system debugging. Collaborate with cross-functional teams to ensure seamless application integration. Prepare technical documentation and assist in the development of user manuals. Generate reports and data analysis using MS Excel. Participate in code reviews and provide technical guidance to junior team members. Required Skills: Strong hands-on experience in COBOL, JCL, DB2, and CICS/DB2. Proficiency in MS Excel for data analysis and reporting. Understanding of mainframe architecture and batch processing. Ability to troubleshoot and resolve mainframe application issues. Excellent communication and teamwork skills. Qualifications: Bachelors degree in Computer Science, Information Technology, or related field. Minimum 3 years of experience in Mainframe development. Experience working in Pune location is mandatory.

Must have experience in Dotnet Full Stack Development with 8+ years of experience Skill set:- 1. Dotnet 2. Asp.net 3. Asp.net core 4. Angular Js 5. Azure

Senior data engineer Job description: - Demonstrate hands-on expertise in Ab Initio GDE, Metadata Hub, Co-operating system & Control-Centre. - Must demonstrate high proficiency in SQL. - Develop and implement solutions for metadata management and data quality assurance. - Able to identify, analyze, and resolve technical issues related to the Ab Initio solution. - Perform unit testing and ensure the quality of developed solutions. - Provide Level 3 support and troubleshoot issues with Ab Initio applications deployed in Production - Working knowledge of Azure Databricks & python will be an advantage. - Any past experience working on SAP HANA Data layer would be good to have. Other traits - Proficient communication skill required as she/he will be directly engaging with client teams. - Technical leadership, open to learn and adopt the complex landscape of data technologies in a new environment.

Below is the job description. Exp 4-6 Years: Key Responsibilities: Act as a liaison between client teams, source system owners, and application users. Understand business requirements and translate them into technical data models and pipelines. Design and develop scalable ETL/ELT workflows using PySpark, SQL, and Python. Work extensively with Snowflake for data modeling, data warehousing, and query optimization. Integrate data from various AWS sources (e.g., S3, Glue) into Snowflake. Ensure data quality, reliability, and performance of data pipelines. Document processes and provide support for existing data systems. Required Skills: Strong hands-on experience with Snowflake (Data Modeling, Performance Tuning, Snowpipe, Streams & Tasks). Proficiency in SQL for complex querying and optimization. Good working knowledge of AWS services related to data engineering. Experience with PySpark and Python scripting for ETL development. Excellent communication skills for interacting with client stakeholders and teams.

JOB DESCRIPTION Work with Oracle's world class technology to develop, implement, and support Oracle's global infrastructure. As a Lead System Analyst for Oracle Health, you would be responsible for leading the technical support responsibilities, contributing to system performance improvement and owning the root cause analysis and remediation for our client systems issues. You are also expected to manage projects and support queues for solutions and services. Consult with other teams for incident resolution and proactive solutions. Analyze, troubleshoot and improve system performance. Manage the relationship with support teams and act as the point of contact for support escalations. Diagnose, analyze, and troubleshoot technical problems to resolve issues and contribute in Service Resiliency Program to improve system performance. Basic Qualifications Bachelor's or masters degree in Computer Science, Computer Engineering or related field At least 6+ years of system engineering experience in Windows servers administration and Linux server administration. At least 3 years of Microsoft Operating Systems experience At least 3 years of Oracle Enterprise Linux work experience Knowledge in ITIL framework Preferred Qualifications Knowledge and hands-on experience of Linux and Windows systems At least 3+ years of project management/implementation work experience Strong written and oral communication skills Proficient with task management utilities Expectations: Willing to work on a flexible schedule as needed Willing to work on different technologies as needed Willing to take up oncall support 24/7 or 12/7 as needed Participate in weekly client calls. Coaching and mentoring the team as and when needed

Nihilent Technologies Pvt. Ltd. is looking for Machine Learning Professional to join our dynamic team and embark on a rewarding career journey Develop and train machine learning models using data sets to address specific business problems Work with stakeholders to identify problems and opportunities where machine learning can be applied to improve processes or create new business opportunities Design and implement data pipelines to ingest, clean, transform, and prepare data for analysis Apply various techniques such as clustering, classification, regression, neural networks, deep learning, and reinforcement learning to build models Optimize and fine-tune machine learning models to improve performance and increase accuracy Perform statistical analyses and hypothesis testing to evaluate model performance Collaborate with cross-functional teams, including data engineers, data analysts, and business stakeholders, to ensure successful model deployment and integration with existing systems Develop and maintain documentation of model development, testing, and deployment processes Identify opportunities for automation and process improvement using machine learning algorithms

Nihilent Technologies Pvt. Ltd. is looking for Dotnet Full stack Developer to join our dynamic team and embark on a rewarding career journey Developing front end website architecture. Designing user interactions on web pages. Developing back-end website applications. Ensuring responsiveness of applications. Working alongside graphic designers for web design features. Seeing through a project from conception to finished product. Designing and developing APIs. Meeting both technical and consumer needs.

Bachelors or master s degree in Computer Science, Computer Engineering or related field At least 6+ years of system engineering experience in Windows servers administration and Linux server administration. At least 3 years of Microsoft Operating Systems experience At least 3 years of Oracle Enterprise Linux work experience Knowledge in ITIL framework Preferred Qualifications Knowledge and hands-on experience of Linux and Windows systems At least 3+ years of project management/implementation work experience Strong written and oral communication skills Proficient with task management utilities Expectations: Willing to work on a flexible schedule as needed Willing to work on different technologies as needed Willing to take up oncall support 24/7 or 12/7 as needed

Design, develop, and implement robust, scalable test automation frameworks using Selenium with Java for web applications. Lead and guide API automation using Postman and Rest Assured, ensuring comprehensive test coverage for RESTful services. Set up automated Functional / API regression suites integrated with CI/CD pipelines. Provide hands-on leadership in designing mobile automation strategies for iOS and Android platforms using tools like Appium or similar frameworks. Ensure device compatibility testing and performance benchmarking. Establish quality gates, maintain high code quality in test automation suites, and collaborate with DevOps for smooth test orchestration. Work closely with cross-functional teams (Dev, DevOps, Product) to align testing goals with business objectives. Drive continuous improvement in testing processes and tools through innovation and automation.