Infoobjects

Role & responsibilities Senior DevOps Engineer requires expertise in AWS and Databricks, with a preference for broad cloud experience. The role involves designing, implementing and optimizing CI/CD pipelines, Infrastructure as Code (IaC) and cloud automation solutions. Strong skills in monitoring, security, and scalability within cloud environments are essential. Strong skills in monitoring, security, and scalability within cloud environments area essential. Candidates should have experience in containerization, scripting, and cloud native services, ensuring efficient deployment and management of data and analytics workloads. Years of Experience: 5+ Minimum Preferred candidate profile Strong experience with AWS services (EC2, S3, Lambda, IAM, RDS, etc.) and cloud infrastructure automation. Expertise in Databricks deployment, optimization, and security best practices. Proficiency in CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS CodePipeline. Experience with Infrastructure as Code (IaC) using Terraform or CloudFormation. Strong scripting skills in Python, Bash, or PowerShell for automation. Familiarity with containerization and orchestration (Docker, Kubernetes, EKS). Knowledge of cloud security, monitoring, and logging (AWS Security Hub, CloudWatch, Datadog). Broad understanding of multi-cloud and hybrid cloud architectures is a plus.

Hiring BIM Modeler to create accurate 3D models from 2D drawings, export IFC files with correct structure, apply proper classifications, and ensure model quality for quantity takeoff. Must know Revit, IFC standards, and self-checking.

Lead Databricks to Snowflake migration. Expertise in PySpark, Snowflake, DBT, Airflow, CI/CD, SQL optimization, and orchestration. Ensure scalable, high-performance pipelines with strong DevOps and monitoring practices.

Identify and research potential clients through lead generation Qualify leads and set up appointments for the sales team Maintain accurate records of calls, meetings, and follow-ups in the CRM Collaborate with sales and marketing teams

Hiring Automation Test Engineer with 3+ yrs exp in Java, Selenium, TestNG, and CI/CD (Jenkins/GitHub). Must build test scripts, frameworks, perform UI/API testing, and log defects using JIRA/TestRail. Strong testing and automation skills required.

Role & responsibilities Scrum/Agile development methodologies Cloud-based application development and deployment (MS Azure preferred). Front-end and back-end software development (.NET, MVC, Web API, C#, SQL, Azure) Visual Studio/Visual Code Distributed source code control (Git, GitHub, Bitbucket) Agile software development suite of tools (Azure DevOps, Jira, etc.) Relational databases including writing stored procedures and queries

Job Title: Data Engineer Experience: 3-8 Years Location: Jaipur, India Employment Type: Full-time About the Role: We are looking for a skilled and motivated Data Engineer to join our team in Jaipur. The ideal candidate will have strong experience in designing, building, and optimizing data pipelines and architectures for large-scale data processing. You will work closely with data scientists, analysts, and business stakeholders to ensure smooth data flow and accessibility across systems. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines to support data integration and analytics. Work with structured, semi-structured, and unstructured data across multiple platforms. Optimize data workflows for performance, scalability, and reliability . Collaborate with cross-functional teams (Data Science, BI, Business teams) to deliver data solutions. Implement data quality checks, monitoring, and governance to ensure accuracy and security. Manage data pipelines on cloud platforms (AWS, Azure, or GCP) and modern data tools. Troubleshoot, debug, and resolve issues in existing data workflows. Required Skills & Qualifications: 3-8 years of experience as a Data Engineer or in a similar role. Strong expertise in SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server). Hands-on experience with Big Data technologies like Spark, Hadoop, or Kafka. Proficiency in Python, Scala, or Java for data processing. Experience with Cloud Data Platforms (Azure Data Factory, Databricks, AWS Glue, GCP BigQuery, etc.). Knowledge of data warehousing concepts and dimensional modeling. Familiarity with modern data stack tools (dbt, Airflow, Snowflake, Redshift, Synapse). Strong problem-solving and debugging skills. Good to Have: Experience in CI/CD pipelines and DevOps for data workflows. Exposure to machine learning data pipelines . Knowledge of data security and compliance practices. Education: Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or related field.

Gen AI Full Stack Engineer - We are seeking a Full Stack Engineer with experience in building web applications integrated with Generative AI solutions. The role involves developing scalable front-end and back-end systems, implementing LLM-based features, and deploying AI-powered applications on the cloud. Data Engineer - We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. The role involves working closely with data scientists, analysts, and business stakeholders to ensure seamless data flow, quality, and availability across systems. Data Architect - We are looking for a Data Architect to design and implement scalable, secure, and high-performing data architectures. The role involves defining data models, integration strategies, and governance frameworks to enable analytics and business insights. Data Scientist - We are seeking a Data Scientist to analyze complex datasets, build predictive models, and develop AI/ML solutions that drive business decisions. You will work with stakeholders to design data-driven strategies and deploy scalable models.

Senior Software Engineer role to build and automate ML model compliance workflows. Focus on packaging, profiling, optimization, deployment, and security in cloud-native CI/CD. Skills: GoLang/Python, MLflow, ONNX, Kubernetes, KitOps, Cloud.

We seek a skilled IT Technical Recruiter to join our team at Infoobjects in Jaipur. The ideal candidate will possess a strong background in IT recruitment and a proven track record in US staffing. Shift timings - 9:00 PM to 06:00 AM

We seek a skilled IT Technical Recruiter to join our team at Infoobjects in Jaipur. The ideal candidate will possess a strong background in IT recruitment and a proven track record in US staffing. Jaipur (Hybrid) Shift timings: 9:00 PM to 06:00 AM

About the Role: As a Lead or Senior Data Scientist at InfoObjects, you will take ownership of designing, developing, and deploying advanced AI and ML models to solve complex business challenges. You will collaborate with cross-functional teams, including data engineers, AI/ML engineers, and business stakeholders, to drive data-driven decision making and innovative solutions. Key Responsibilities: • Lead the design and implementation of advanced AI/ML models using frameworks like OpenAI, Hugging Face, PyTorch, or TensorFlow. • Develop and fine-tune predictive models, including LLMs (GPT, Claude, Llama, Gemini) and generative models (Diffusion Models, GANs), tailored to client and project needs. • Conduct research on cutting-edge AI techniques, including reinforcement learning (RL), transfer learning, and model optimization. • Collaborate with stakeholders to identify business problems and translate them into AI/ML solutions. • Lead the integration of AI models into scalable applications and ensure seamless deployment. • Monitor model performance and implement improvement strategies through continuous training and evaluation. • Mentor junior data scientists, promoting best practices and ethical AI adoption. Must-Have Skills: • Bachelors or Masters degree in Data Science, Computer Science, Machine Learning, or related fields. • Proficiency in Python, along with experience in frameworks like PyTorch and TensorFlow. • Strong expertise in LLMs (GPT, Claude, Llama, Gemini), generative models (GANs, Diffusion Models), and model fine-tuning. • Hands-on experience with APIs and platforms such as OpenAI, Hugging Face, and Vector Databases (Pinecone, Weaviate, ChromaDB). • Vector DBs: Experience with AWS solutions including Aurora Postgres, and Databricks Mosaic AI Vector Search. • Knowledge of data pipeline orchestration and integration with AWS Knowledge Bases. • Document Processing: Familiarity with tools like Azure AI Document Intelligence. • Proficiency in cloud platforms (AWS, GCP, Azure) and experience with Databricks. • Strong understanding of model evaluation metrics, retrieval-augmented generation (RAG), and ML model lifecycle management. • Proven leadership abilities with a focus on team collaboration and mentoring. • Analytical mindset and strong problem-solving skills.

Position Overview We are seeking a Technical Project Manager (SR TPM) to lead complex, cross-functional initiatives across data engineering, analytics, automation, and semiconductor manufacturing environments. The ideal candidate brings deep experience managing technical programs/Projects involving data platforms, ETL modernization, automation, and cloud technologies, along with hands-on familiarity with tools such as Power Automate, SQL, Azure Function Apps, Power BI, and Python. Exposure to Databricks and experience in semiconductor manufacturing are strong pluses. This individual will be accountable for program execution, roadmap planning, timeline delivery, and stakeholder alignment from conception through production deployment. Key Responsibilities Program & Project Leadership Lead end-to-end delivery of complex programs involving data ingestion, data modeling, ETL modernization, automation workflows, and analytics deployments. Develop and maintain program roadmaps, integrated schedules, RAID logs, communication plans, and milestone dashboards. Drive project governance, ensuring cross-team alignment, timely escalation, and executive visibility. Technical Execution & Oversight Oversee technical implementation across Databricks pipelines, Delta Lake workflows, Azure Function Apps, Power Automate integrations, and automation tasks. Provide technical leadership during solution design, ensuring alignment with architecture standards and manufacturing requirements. Review SQL logic, validate ETL workflows, support Python-based automation, and coordinate functional/technical testing with engineering teams. Agile Delivery & Scrum Leadership Lead Agile ceremonies including sprint planning, backlog refinement, stand-ups, demos, and retrospectives. Partner with Product Owners to ensure stories are well-defined, prioritized, and tied to measurable outcomes. Track sprint velocity, capacity planning, throughput, and cross-team dependencies. Automation & Analytics Program Support Partner with teams building and deploying Power Automate flows, business process automations, and integration workflows. Oversee delivery of Power BI dashboards, ensuring data accuracy, DAX/SQL alignment, and business usability. Support analytics and reporting initiatives requiring coordinated updates across datasets, APIs, pipelines, and business processes. Manufacturing & Operations Collaboration Engage with semiconductor manufacturing stakeholders to understand fab workflows, test data needs, equipment data sources, and operational KPIs. Ensure technical solutions meet manufacturing readiness requirements, data quality standards, and uptime/latency expectations. Required Qualifications Bachelors degree in Engineering, Computer Science, Information Systems, Manufacturing, or related field. 7+ years of technical project or program management leading large-scale data, analytics, automation, or cloud engineering initiatives. Hands-on experience or working knowledge of: - Power Automate - SQL - Azure Function Apps - Power BI - Python Strong understanding of ETL concepts, data modeling, cloud data architecture, and distributed data pipelines. Experience with Databricks, Azure Data Lake, Delta Lake, or similar technologies. Strong Agile/Scrum background with cross-functional delivery experience. Excellent communication skills including executive-level reporting. Preferred Qualifications Experience in semiconductor manufacturing, fab engineering, test operations, or manufacturing data. Familiarity with PCM, SPC, wafer/lot data, IFF/SFF, Exensio. Experience with automation governance, data quality frameworks, optimization. Certifications such as PMP, PMI-ACP, CSM, SAFe. Leadership & Soft Skills Ability to bridge technical and business teams. Strong analytical and problem-solving skills. Highly organized and able to lead multiple projects. Executive presence for Director/VP engagement

Key Responsibilities Develop, optimize, and maintain high-quality Python applications and scripts. Build integrations with cloud services (AWS/Azure/GCP) and implement cloud-based solutions. Work with relational and NoSQL databases for data modeling, ETL processes, and performance tuning. Develop and maintain pipelines in Databricks (PySpark/Notebook-based workflows). Implement workflow orchestration using Airflow or similar tools. Collaborate with cross-functional teams to understand requirements and deliver reliable solutions. Ensure code quality, scalability, and security through best practices and code reviews. Monitor, troubleshoot, and enhance existing pipelines and applications. Required Skills Strong proficiency in Python and its standard libraries. Experience with Cloud platforms (AWS/Azure/GCP). Solid understanding of Databases (SQL, NoSQL, query optimization). Hands-on experience with Databricks and PySpark. Experience with Airflow or other orchestration tools (Prefect, Luigi, etc.). Familiarity with CI/CD pipelines and version control tools (Git). Strong analytical, debugging, and problem-solving skills. Nice-to-Have Experience with Docker/Kubernetes. Experience with REST APIs or microservices development. Understanding of data warehousing concepts.