7 Or Gcp Jobs

Design, build, and support data ingestion, transformation, and delivery pipelines across structured and unstructured sources within the enterprise data engineering. Manage and monitor day-to-day operations of the data engineering environment, ensuring high availability, performance, and data integrity. Collaborate with data architects, data governance, platform engineering, and business teams to support data integration use cases across RD, Clinical, Regulatory, and Commercial functions. Integrate data from laboratory systems, clinical platforms, regulatory systems, and third-party data sources into enterprise data repositories. Implement and maintain metadata capture, data lineage, and data quality checks across pipelines to meet governance and compliance requirements. Support real-time and batch data flows using technologies such as Databricks, Kafka, Delta Lake, or similar. Work within GxP-aligned environments, ensuring compliance with data privacy, audit, and quality control standards. Partner with data stewards and business analysts to support self-service data access, reporting, and analytics enablement. Maintain operational documentation, runbooks, and process automation scripts for continuous improvement of data fabric operations. Participate in incident resolution and root cause analysis, ensuring timely and effective remediation of data pipeline issues. Create documentation, playbooks, and best practices for metadata ingestion, data lineage, and catalog usage. Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must have Skills: Build and maintain data pipelines to ingest and update metadata into enterprise data catalog platforms in biotech or life sciences or pharma. Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. experience in data engineering, data operations, or related roles, with at least 2+ years in life sciences, biotech, or pharmaceutical environments. Experience with cloud platforms (e. g. , AWS, Azure, or GCP) for data pipeline and storage solutions. Understanding of data governance frameworks, metadata management, and data lineage tracking. Strong problem-solving skills, attention to detail, and ability to manage multiple priorities in a dynamic environment. Effective communication and collaboration skills to work across technical and business stakeholders. Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.

Frontend: Strong proficiency in React.js , Redux/Context API, Hooks, and component-based architecture. Experience with Material UI , Tailwind CSS, or other UI frameworks. Solid understanding of responsive design, cross-browser compatibility, and performance tuning. Backend: Expertise in Node.js and Express.js . Experience in building RESTful APIs and microservices. Database: Strong experience with MongoDB including data modeling, indexing, and performance optimization. Additional Skills: Proficient in JavaScript (ES6+), HTML5, CSS3, JSON. Version control using Git (GitHub/GitLab/Bitbucket). Experience with tools like Postman, Swagger, or similar. Familiarity with Agile methodologies (Scrum/Kanban). Basic understanding of security best practices (OWASP, JWT, OAuth). Familiarity with cloud platforms like AWS, Azure, or GCP is a plus.

Job Title: AI Engineer Experience: 3 - 5 Years Location: Jagatpura, Jaipur Type: Full-Time Kindly share your CV at shubhanshu.mishra@dotsquares.com Job Summary: We are seeking a highly skilled AI Engineer (Senior Python Developer) with 3- 5 years of experience, including at least 3+ years of hands-on expertise in LLM implementation , Retrieval-Augmented Generation (RAG) architectures, and multi-agent systems . This role is ideal for someone who enjoys working across the stack from data engineering and scalable backend APIs to cutting-edge Generative AI and MLOps workflows. You will take full ownership of building production-grade AI applications and intelligent systems, collaborating cross-functionally with stakeholders and product teams. Key Responsibilities: Design and develop AI applications using Large Language Models (LLMs) , RAG , and multi-agent architectures . Build high-performance APIs using FastAPI , including scalable, secure, and well-documented endpoints. Lead development of Generative AI-based conversational agents (text and voice) with support for low-latency communication and WebSocket integrations. Architect end-to-end solutions integrating vector databases (FAISS, pgvector, Chroma, Pinecone) for semantic and embedding-based search. Develop efficient ETL and data pipelines using Pandas, PySpark, and SQL. Apply and optimize caching techniques (Redis, memory-based) and background task queues using Celery . Ensure robust MLOps workflows : CI/CD for ML, model versioning, monitoring, retraining, deployment, and registry. Perform database integration with relational and NoSQL systems ( MySQL, PostgreSQL, MongoDB ). Write optimized and complex SQL queries for reporting, analytics, and dynamic retrieval. Deploy scalable services and ML models in cloud environments such as AWS , Azure , or GCP . Communicate effectively with technical and non-technical stakeholders; gather requirements and translate them into actionable solutions. Must-Have Skills: Python (Expert) with strong fundamentals and extensive experience in Pandas and PySpark . Hands-on experience with LLMs , RAG , multi-agent systems , and GenAI applications. Strong knowledge of FastAPI for API development. Advanced proficiency in SQL capable of writing efficient, optimized, and analytical queries. Experience with vector databases : FAISS, pgvector, Chroma, Pinecone. Background task orchestration using Celery . Redis and memory-based caching for performance. Strong system design and problem-solving skills. Experience with MLOps practices and tools (model registry, CI/CD, retraining, serving, monitoring). Hands-on with MySQL , PostgreSQL , and NoSQL databases (e.g., MongoDB). Strong verbal and written communication; ability to interface directly with clients and stakeholders. Experience deploying in cloud environments AWS, Azure, or GCP. Good to Have: Experience with WebSocket for real-time, low-latency systems. Conversational AI involving voice + text interfaces . Fine-tuning or retraining open-source LLMs (e.g., LLaMA , Falcon , Mistral ). Familiarity with MCP architecture (Model-Context-Prompt) for GenAI systems. Exposure to Docker , Kubernetes , and scalable ML deployment patterns. Experience with ETL orchestration tools like Airflow, Prefect (if applicable). Qualifications: Bachelors or Masters degree in Computer Science , Artificial Intelligence , Data Science , or a related field. 3- 5 years of experience in backend development and AI systems with at least 3 years in GenAI / LLM-based projects . Proven ownership of production-grade AI solutions and real-world deployment.

Virtual Walk-In Interview for IT Engineers _Harita Techserv Pvt Ltd Interview Details: Interview Date: 16 -June-25 to 20 -June-25 (Monday to Friday) Interview Timing: 4.00 PM - 7.00 PM Virtual interview link: https://meet.google.com/acb-oniz-gvp Notice Period: Immediate to 30 Days Job Location Bangalore Role: Full stack Developer Experience: 6 to 10 years Skills: Node.js, React.js, Nest.js, AWS, or GCP, or Azure, NoSQL, Redis Streams Contact Email ID: yamuna.k@harita.co.in

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powe'red applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. experience in data science, machine learning, AI applications, and generative AI modeling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powe'red applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. experience in data science, machine learning, AI applications, and generative AI modeling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client services offerings are used to create the Internet solutions that make networks possible providing easy access to information anywhere, at any time. Job Title: Program Manager I Location: Bangalore Duration: 12 Months Work Type: Onsite Job Description: Lead and complete large-scale, client-driven projects. Communicate with clients and customers to determine their needs or requirements. Develop, design, and implement improved business processes or solutions to meet consumer expectations. Assist with budgeting and financial status reports. 3 years of experience are required. We are seeking a results-driven Project Manager with proven experience managing complex microservices-based application and data center infrastructure projects. The ideal candidate will be well-versed in Agile methodologies and tools like Jira and Confluence, with a strong background in coordinating cross-functional teams, ensuring project deliverables are on time, within scope, and within budget. Key Responsibilities: Lead end-to-end project execution for microservices transformation initiatives and data center build-outs/migrations. Collaborate with cross-functional teams including DevOps, infrastructure, application architects, and external vendors. Drive sprint planning, backlog grooming, and daily stand-ups using Agile/Scrum frameworks. Develop and maintain detailed project plans, timelines, and resource allocations. Manage risks, track dependencies, and handle escalations effectively. Provide transparent reporting through Jira dashboards, Confluence documentation, and executive status updates. Ensure alignment with organizational goals, compliance standards, and SLAs throughout project lifecycle. Track and manage changes in scope, budget, and timelines using structured change control processes. Foster continuous improvement by conducting retrospectives and incorporating lessons learned. Required Qualifications: Bachelors degree in Computer Science, Engineering, or related field (Masters preferred). 5+ years of experience as a Project Manager in technology environments. Hands-on experience managing microservices architecture projects and data center initiatives (e.g., migrations, capacity upgrades, cloud integrations). Proficiency with Jira, Confluence, and Agile delivery tools. Solid understanding of DevOps, CI/CD pipelines, infrastructure automation, and cloud technologies (AWS, Azure, or GCP). Exceptional communication, organization, and stakeholder management skills. Proven track record in delivering projects on time, in scope, and on budget. Preferred Qualifications: PMP, PMI-ACP, or Certified Scrum Master (CSM) certification. Familiarity with ITIL practices and service delivery frameworks. Experience working in a hybrid cloud/on-prem infrastructure environment. Technical background or hands-on experience in application development or system engineering TekWissen Group is an equal opportunity employer supporting workforce diversity.