• Technical Project Manager with 4-8 years of experience to lead and manage technical projects.
• The role involves planning, executing, and finalizing projects according to deadlines and within budget.
• Key responsibilities include coordinating resources, managing risks, ensuring quality, and maintaining project documentation.
• The ideal candidate should have strong project management skills, excellent communication abilities, and a solid understanding of project management methodologies.

Years of experience: 4 to 8 Years

Location:

• Proven experience in developing and deploying large language models (LLMs) such as GPT, BERT, T5, LLAMA, Mistral, or other cutting-edge architectures.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
• Hands-on experience with NLP tools and libraries, including Hugging Face Transformers, SpaCy, and NLTK.
• Demonstrated ability to fine-tune and optimize pre-trained language models for specific applications.
• Experience with Retrieval-Augmented Generation (RAG) models and techniques for enhancing generative AI performance.
• Familiarity with data preprocessing and augmentation techniques using tools such as Pandas and NumPy.
• Proficiency in using version control systems like Git for collaborative development.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
• Knowledge of model serving and deployment frameworks such as TensorFlow Serving, ONNX, or FastAPI.
• Strong problem-solving skills and the ability to translate business requirements into technical solutions.
• Excellent communication skills for effectively collaborating with cross-functional teams and explaining complex technical concepts to non-technical stakeholders.
• Other Preferred Qualifications:
• Experience with reinforcement learning, transfer learning, and other advanced machine learning techniques.
• Contributions to open-source AI/NLP projects or publications in top-tier AI/NLP conferences or journals.
• Knowledge of ethical considerations and best practices in AI development, particularly related to generative models.
• Experience with large-scale data processing frameworks and tools such as Apache Spark or Dask.

Years of experience: 4 to 8 years

Location:

• Bachelor’s degree in Graphic Design, Interaction Design, Human-Computer Interaction, or a related field is required.
• Proven experience as a UI/UX Designer, with a strong portfolio showcasing design projects.
• Proficiency in design and prototyping tools such as Adobe XD, Sketch, Figma, In Vision, and Axure.
• Strong understanding of user-centered design principles and practices.
• Experience with responsive and adaptive design, as well as designing for mobile and web platforms.
• Familiarity with front-end development technologies (HTML, CSS, JavaScript) and their impact on design feasibility.
• Ability to create wireframes, storyboards, user flows, process flows, and site maps to effectively communicate interaction and design ideas.
• Strong visual design skills with a keen eye for aesthetics and details.
• Knowledge of design systems and the ability to create and maintain them.
• Experience conducting user research, usability testing, and interpreting data to inform design decisions.
• Excellent problem-solving skills and the ability to think critically about user interactions and design.
• Strong communication skills for effectively collaborating with cross-functional teams, including developers and product managers.
• Preferred Qualifications:
• Experience working in an Agile/Scrum development process.
• Familiarity with accessibility standards and guidelines (e.g., WCAG).
• Experience with motion design and creating animations using tools like After Effects or Principle.
• Knowledge of user research methodologies and experience conducting user interviews, surveys, and usability tests.
• Experience with A/B testing and using data analytics to drive design decisions.
• Contributions to design communities or publications in design journals and conferences.

Years of experience: 3 to 6 Years

Location:

Experienced in Microservices architecture and java with good understanding of design patterns, spring boot framework Knowledge of RESTful API services.

• ∙ Extensive knowledge of MYSQL,PostgreSQL
• ∙ Experience in supporting and/or implementing complex integration projects.
• ∙ Knowledge of MongoDB, Apache Kafka, and Kubernetes
• ∙ Working experience in Agile framework
• ∙ In-depth knowledge of data structures and algorithms
• ∙ Familiarity with web servers
• ∙ Any professional certifications //if required.
• ∙ Familiar with cloud technology AWS, Azure,
• ∙ Understand CI/CD auto deployment model.

Years of experience: 6 to 8 Years

Location:

• Consultants with 6 yrs and < 10 yrs experience.
• Resource with deep understanding of DB Architecture, product, DB Design, ETL Process, Data Migration Process, Database setup on-prem/on-cloud, managing large databases, performance optimization of databases. PostgreSQL, MYSQL, Oracle databases

Years of experience: 4 to 6 Years

Location:

• Bachelor’s degree in Engineering (B.Tech/BE), Computer Applications (MCA), or a related field is required.
• Proven experience as a DevOps or Platform Engineer, with a strong focus on AI/ML projects.
• Proficiency with Azure cloud services, including but not limited to Azure DevOps, Azure Kubernetes Service (AKS), Azure Machine Learning, Azure Functions, and Azure Storage.
• Experience with on-premise infrastructure, including managing physical and virtual servers, networking, and storage solutions.
• Strong knowledge of containerization and orchestration tools, particularly Docker and Kubernetes.
• Experience with infrastructure as code (IaC) tools such as Terraform, ARM templates, Azure Bicep, or Ansible.
• Familiarity with continuous integration and continuous deployment (CI/CD) pipelines, and experience setting them up using tools such as Azure DevOps, Jenkins, or GitLab CI/CD.
• Knowledge of version control systems, particularly Git, and experience with GitOps practices.
• Strong scripting skills in languages such as Python, Bash, or PowerShell.
• Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, Prometheus, Grafana, and ELK Stack.
• Understanding of security best practices and tools for securing both cloud and on-premise environments, including identity and access management (IAM), network security, and compliance.
• Strong problem-solving skills, with the ability to troubleshoot complex system issues.
• Excellent communication skills for effectively collaborating with cross-functional teams, including data scientists, software engineers, and product managers.
• Experience with AI/ML workflows and tools, including model training, deployment, and monitoring.
• Familiarity with MLOps practices and tools for managing the lifecycle of machine learning models.
• Experience with other cloud platforms (AWS, GCP) is a plus
• Contributions to open-source projects or active participation in the DevOps community.
• Certifications such as Microsoft Certified: Azure DevOps Engineer Expert, Microsoft Certified: Azure Solutions Architect Expert, or other relevant certifications.
• Experience with hybrid cloud environments and multi-cloud strategies.

Years of experience: 4 to 6 Years

Location:

• B.Tech in Computer Science (Mandatory), Experience in the government sector will be an added advantage.
• Proven experience as a DBA with a focus on data warehousing.
• Strong understanding of database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL).
• Experience with data warehousing concepts and technologies (e.g., star schema, snowflake schema, OLAP, ETL tools).
• Proficiency in SQL and other query languages.
• Experience with ETL tools and processes (e.g., Informatica, Talend, SSIS).
• Knowledge of data modeling and data architecture principles.

Years of experience: 4 to 8 Years

Location:

• Requisite Skills - Java, Spring boot, microservices, Data structure algorithm, Multi threading, Collections, Streams, Hibernate
• Only BTech/MTech/ MCA
• M.E./ M.Tech or B.E./ BTech. in Information Technology/Computer Science/ Electronics engineering or M.C.A.
• Should have 5-10 Years of relevant experience in Backend Application development using the following skillset: Java, JavaScript, Spring JPA,REST API, Kafka
• Should have worked as a back-end developer with an in-depth understanding of the entire web development process (design, development, and deployment).
• Should have experience in micro-service architectures.
• Hands on Expertise in J2EE: Java, Spring.

Years of experience: 4 to 8 years

Location:

• Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions 
• Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects 
• Influence machine learning strategy for Digital programs and projects
• Make solution recommendations that appropriately balance speed to market and analytical soundness
• Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor 
• Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow)
• Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Create algorithms to extract information from large, multiparametric data sets.
• Deploy algorithms to production to identify actionable insights from large databases.
• Compare results from various methodologies and recommend optimal techniques. 
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Develop and embed automated processes for predictive model validation, deployment, and implementation 
• Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
• Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment 
• Lead discussions at peer review and use interpersonal skills to positively influence decision making
• Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
• Facilitate cross-geography sharing of new ideas, learnings, and best-practices
• Bachelor of Science or Bachelor of Engineering at a minimum.
• 4+ years of work experience as a Data Scientist
• A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
• Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
• Good hands-on skills in both feature engineering and hyperparameter optimization
• Experience producing high-quality code, tests, documentation
• Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
• Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine
• learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
• Proficiency in statistical concepts and ML algorithms
• Good knowledge of Agile principles and process 
• Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
• Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
• Self-motivated and a proactive problem solver who can work independently and in teams
• Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud
• Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token
• Management, Knowledge Graph, Vision APIs, Prompt Engineering
• Good to have : AI Algorithms, Deep Learning,Computer Vision, Hallucination Control
• Mechanism, Responsible AI frameworks
• Tech : Python, SQL, Docker, Versioning tool, Azure/AWS/GCP
• Years Experience : 3-7 years (Software Engineering/ Data Scientist),

Years of experience: 3 to 7 Years

Location:

• Education: B.E/B.Tech/MCA/M.Tech
• 8 years of experience in software development or a related field.
•  8 years of experience in Java, J2EE, Spring, and Spring boot.
• Minimum 5+ years of experience in React JS, TypeScript, HTML, CSS, JavaScript
• 8 years of experience in database technologies
• 8 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
• Must have experience in any GCC company.
• Must have practiced problems on Hackerrank/Leetcode/Interviewbit/GFG (Strong problem-solving skills).
• 8 years of experience in software development or a related field.
• 8 years of experience in database technologies
• 8 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC).
• 8 years of experience in Java, JEE application development.
• Proficient in core Java 8 or higher.
• Spring Boot / Microservices development experience is a must.
• Experience in creating APIs / Kafka consumers.
• Experience working in Agile methodology.
• Strong in Data Structures and Algorithms (DSA) and problem-solving
• Proficient in front-end technologies and frameworks: JavaScript, ReactJS, Redux, OOJS, ECMAScript 5, HTML5, CSS, LESS, SASS, Bootstrap, TypeScript, and responsive web design
• Experience with Web Services (JSON, REST, JAX-RS)
• Proficiency with Git and version control workflows..
• Experience with collaboration tools like Jira, Confluence, or Slack
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.
• Experience in managing the team of software developers, providing guidance and support.
• Should Stay updated with industry trends and best practices

Years of experience: 8+ Years

Location: