11+ Good Clinical Practice Jobs in Pune | Good Clinical Practice Job openings in Pune

1. Sr. Data Engineer:

 Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python

Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred

Major accountabilities:

• Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
• Have good understanding on Foundry Platform landscape and it’s capabilities
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
• Designs data integrations and data quality framework.
• Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
• Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
• Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed

Desired Candidate Profile :

• Strong data engineering background
• Experience with Clinical Data Model is preferred
• Experience in
• SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
• Java and Groovy for our back-end applications and data integration tools
• Python for data processing and analysis
• Cloud infrastructure based on AWS EC2 and S3
• 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
• 5+ years of Python and Pyspark development experience
• Strong troubleshooting and problem solving skills
• BTech or master's degree in computer science or a related technical field
• Experience designing, building, and maintaining big data pipelines systems
• Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
• Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
• Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
• Hand-on experience in AWS / Azure cloud platform and stack
• Strong in API based architecture and concept, able to do quick PoC using API integration and development
• Knowledge of machine learning and AI
• Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.

 Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

Role: ME Designer

Exp: 3-6 Years

CTC: up to 15 LPA

Location: Pune & Bangalore

Basic Qualifications

• Master of Science in Mechanical Engineering, Automotive Engineering, or related field 

• Minimum of 3 years of experience in embedded design developments 

• Experience in Design for Assembly and Design for Manufacturing methodology. 

• Familiar with more than 1 leading CAD design tool \

Should have experience in:

• UG nx or CATIA CAD tool min 3-6 Yrs. 

• Experience in CAD Modeling and Detailing min 3-6 Yrs. 

• PLM tools (ENOVIA, Tecamente etc.) min 3-6 Yrs. 

• CAE Tools Ansys for Mechanical Preferred.

About Company

Our client works in the area of skilling and livelihoods for underserved youth. This is a pioneering program with a strong PPP model, an agency-led approach to livelihoods and a vision of socio-economic transformation. They are run through a public-private partnership that empowers the Government, Corporates, NGOs and Citizens to work together towards changing lives. The provision of location and capital expenditure for the centres is taken care of by the Government. Corporates contribute through CSR funds to provide operational expenses. NGOs come on board to provide various skilling courses to the youth. With penetration in more than 400 of the 500 odd slum communities of Pune, the program has now expanded to other cities viz. PCMC, Dombivali, Aurangabad and also States viz. Delhi, Odisha and in Hyderabad.

Core Values that drive us: Empathy | Inclusion | Integrity | Courage 

Roles & responsibilities

• Taking care on onboarding, induction & orientation

• Employee Engagement

• HR strategies and policies

• Organizational design

• Develops programs to build human capital and a strong employee development culture.

• Training & Development

• Analysis and Change Management

• Facilitates the development and implementation of employee performance measurements to gauge the success of programs and identify areas for improvement.

• Talent Assessment

• Leadership Development - Assesses leadership development, team development, and organizational communication programs and practices.

• Succession Planning

• Counselling and Guidance

• Grievance handling

• Building a positive and result-oriented working environment

• Creating an environment of accountability where success is measured

Requirements

• Should be Masters in HR

• Must have at least 10+ years of experience in the field of Organization Development

• Experience working with a NGO will be an added advantage

• Passionate about planning, developing, administering, and implementing innovative programs.

• Experience in the management of large- and small-scale change initiatives

• Demonstrated ability to drive change and influence the adoption of new ideas

• Learning Agility

• Strong written, verbal communication, interpersonal skills and excellent facilitation/presentation skills

• Able to communicate and collaborate effectively at all levels of the business

• Must be able to use a computer with a high degree of proficiency (Word, Excel, PowerPoint)

Key skills : Python, Numpy, Panda, SQL, ETL 

Roles and Responsibilities:

- The work will involve the development of workflows triggered by events from other systems

- Design, develop, test, and deliver software solutions in the FX Derivatives group

- Analyse requirements for the solutions they deliver, to ensure that they provide the right solution

- Develop easy to use documentation for the frameworks and tools developed for adaption by other teams

Familiarity with event-driven programming in Python

- Must have unit testing and debugging skills

- Good problem solving and analytical skills

- Python packages such as NumPy, Scikit learn

- Testing and debugging applications.

- Developing back-end components.

Oracle OAS Developer

Senior OAS/OAC (Oracle analytics) designer and developer having 3+ years of experience. Worked on new Oracle Analytics platform. Used latest features, custom plug ins and design new one using Java. Has good understanding about the various graphs data points and usage for appropriate financial data display. Worked on performance tuning and build complex data security requirements.

Qualifications

Bachelor university degree in Engineering/Computer Science.

Additional information

Have knowledge of Financial and HR dashboard

• 5+ years of experience in software engineering
• A background in front-end web development and/or API development.
• Demonstrated competency in one or more of the following: JavaScript, TypeScript, React/Redux, AngularJS,  or comparable JavaScript MVC framework.
• Demonstrated competency in one or more of the following client-side build tool: Webpack, gulp, jspm
• Have a good understanding of what good UX and UI design are.
• Experienced in client-side framework/technologies before such as: React, AngularJS, jQuery, HTML, CSS
• Experienced in using client-side build tools such as gulp, WebPack, JSPM, NodeJS, and other CLI is a plus
• Understand how to get good performance on UI implementation (time to interaction, bundling, and splitting resources)
• Some previous work portfolios would be great.
• Good knowledge of how to use source control systems like git and GitHub.

• Optimizing copy and landing pages for search engine optimization
• Performing ongoing keyword research including discovery and expansion of keyword opportunities
• Researching and implementing content recommendations for organic SEO success
• Execute tests, collect and analyze data and results, identify trends and insights in order to achieve maximum ROI in paid search campaigns
• Track, report, and analyze website analytics and PPC initiatives and campaigns
• Manage campaign expenses, staying on budget, estimating monthly costs and reconciling discrepancies.
• Optimize copy and landing pages for search engine marketing
• Perform ongoing keyword discovery, expansion and optimization
• Research and implement search engine optimization recommendations
• Research and analyze competitor advertising links
• Develop and implement link building strategy
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code
• Work with editorial and marketing teams to drive SEO in content creation and content programming
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.
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