351 Senior Level Scientist jobs in Indore

• Conduct advanced research in Artificial Intelligence, Machine Learning, and related fields.
• Develop and implement novel AI algorithms and models.
• Design and train deep learning models for various applications.
• Analyze large datasets to extract meaningful insights and build predictive models.
• Collaborate with engineering teams to deploy AI models into production environments.
• Publish research findings in top-tier conferences and journals.
• Stay current with the latest advancements in AI and propose innovative research directions.
• Develop prototypes and proof-of-concepts for new AI technologies.
• Mentor junior researchers and contribute to the growth of the AI team.
• Present research findings to technical and non-technical audiences.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
• Proven track record of research and publications in AI/ML conferences and journals.
• Extensive experience in deep learning, NLP, computer vision, or reinforcement learning.
• Strong programming skills in Python, R, or Java, with expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of statistical modeling and mathematical foundations of AI.
• Ability to work independently and collaboratively in a remote research environment.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills.

• Conduct laboratory experiments to support drug discovery and development projects, adhering to established protocols and safety guidelines.
• Design and execute experiments related to target validation, compound screening, and mechanism of action studies.
• Analyze and interpret experimental data, drawing sound conclusions and contributing to research reports.
• Maintain accurate and detailed laboratory notebooks and records.
• Collaborate with cross-functional teams, including medicinal chemists, biologists, and pharmacologists.
• Operate and maintain laboratory equipment and instruments.
• Stay current with scientific literature and advancements in relevant fields.
• Contribute to the preparation of scientific publications and patent applications.
• Ensure compliance with Good Laboratory Practices (GLP) and company policies.
• Assist in troubleshooting experimental issues and optimizing research protocols.

• Master's or Ph.D. in Pharmacology, Biochemistry, Molecular Biology, Chemistry, or a related life science discipline.
• Minimum of 3-5 years of post-graduate research experience in the pharmaceutical industry or academic setting.
• Proven experience with relevant laboratory techniques (e.g., cell culture, molecular biology assays, protein chemistry, small molecule synthesis).
• Strong understanding of drug discovery and development processes.
• Excellent analytical and problem-solving skills.
• Proficiency in data analysis software and scientific reporting.
• Strong written and verbal communication skills.
• Ability to work effectively in a team-oriented laboratory environment.
• Meticulous attention to detail and strong organizational skills.

• Design and implement agronomic field and laboratory experiments.
• Collect, analyze, and interpret data related to crop growth, yield, and quality.
• Evaluate the effectiveness of different farming techniques, fertilizers, and pesticides.
• Conduct research on soil health, nutrient management, and water conservation.
• Collaborate with cross-functional teams to develop new agricultural technologies and practices.
• Prepare detailed research reports and present findings to stakeholders.
• Contribute to the development of scientific publications and presentations.
• Ensure compliance with all safety and regulatory guidelines.
• Manage research plots and maintain laboratory equipment.
• Stay updated with the latest advancements in agronomy and agricultural science.

• Master's or Ph.D. in Agronomy, Plant Science, Soil Science, or a related agricultural field.
• Proven experience in agricultural research, preferably with a focus on crop physiology and soil science.
• Strong knowledge of experimental design and statistical analysis.
• Proficiency in agricultural research methodologies and technologies.
• Excellent written and verbal communication skills.
• Ability to work independently and effectively in a team environment.
• Experience with data analysis software (e.g., R, SAS).
• Passion for sustainable agriculture and improving food production.

• Conduct groundbreaking research in artificial intelligence and related fields.
• Develop and implement novel algorithms and machine learning models.
• Design, execute, and analyze complex AI experiments.
• Collaborate with a global, remote team of researchers and engineers.
• Stay current with the latest AI research and industry trends.
• Publish research findings in leading academic venues.
• Contribute to the development of intellectual property (patents, publications).
• Translate research outcomes into potential product features or enhancements.
• Mentor junior researchers and contribute to a collaborative research culture.
• Evaluate and benchmark AI model performance.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of research and publications in AI/ML.
• Deep theoretical understanding of machine learning, deep learning, and related areas.
• Hands-on experience with Python and major ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed computing.
• Strong analytical, statistical, and problem-solving skills.
• Excellent written and verbal communication skills for remote collaboration.
• Ability to work independently and as part of a distributed team.
• Experience in areas like NLP, Computer Vision, or Reinforcement Learning is a plus.

• Lead and conduct advanced research in a specialized scientific domain, driving innovation and discovery.
• Develop research proposals, secure funding, and manage research projects from inception to completion.
• Design and execute experiments, analyze data, and interpret results with a high degree of scientific rigor.
• Mentor and guide junior research scientists and technical staff, fostering a collaborative and productive research environment.
• Stay at the forefront of scientific advancements in the relevant field, identifying new research opportunities and methodologies.
• Author high-impact scientific publications and present research findings at national and international conferences.
• Collaborate with internal and external stakeholders, including academic institutions and industry partners.
• Ensure compliance with all laboratory safety regulations and ethical research practices.
• Contribute to the strategic direction of the research department and identify opportunities for technological advancement.
• Manage research budgets and resources effectively.

• Ph.D. in a relevant scientific field (e.g., Biology, Chemistry, Physics, Engineering).
• Minimum of 8-10 years of post-doctoral research experience, with a proven track record of significant scientific contributions.
• Extensive experience in experimental design, data analysis, and scientific interpretation.
• Demonstrated leadership experience in managing research projects and mentoring scientific teams.
• Strong publication record in peer-reviewed journals and experience presenting at conferences.
• Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
• Proficiency in relevant laboratory techniques, instrumentation, and data analysis software.
• Ability to work independently and collaboratively in a hybrid research setting.
• Grant writing experience is a significant advantage.
• A deep passion for scientific inquiry and a commitment to advancing knowledge.

• Designing and conducting scientific research experiments related to crop cultivation, soil health, and pest management.
• Analyzing data from field trials and laboratory experiments.
• Developing new agricultural technologies and sustainable farming practices.
• Evaluating the effectiveness of fertilizers, pesticides, and other agricultural inputs.
• Collecting and analyzing soil and plant samples.
• Preparing detailed research reports and scientific publications.
• Providing technical guidance and recommendations to farmers and agricultural professionals.
• Collaborating with government agencies and industry partners on research projects.
• Staying up-to-date with the latest advancements in agricultural science and technology.
• Ensuring compliance with safety regulations in laboratory and field research.
• Contributing to the development of strategies for improving agricultural productivity and sustainability.

• Master's degree or Ph.D. in Agronomy, Plant Science, Agricultural Science, or a related field.
• Minimum of 5 years of experience in agricultural research or a related scientific role.
• Proven experience in experimental design and data analysis.
• Strong knowledge of crop physiology, soil science, and sustainable agriculture.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proficiency in scientific research methodologies and laboratory techniques.
• Strong written and verbal communication skills.
• Ability to work effectively independently and as part of a research team.

About the Role

We are looking for an experienced Data Scientist with expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) to design, build, and deploy AI-driven solutions using the Azure ecosystem .

Responsibilities

• Build end-to-end ML pipelines (data prep, training, validation, deployment).
• Apply LLMs & GenAI for NLP, predictive modeling, and analytics.
• Develop recommendation engines, scoring systems, and predictive models .
• Run A/B tests and apply statistical methods to optimize performance.
• Integrate ML solutions into business systems in collaboration with cross-functional teams.

Skills & Experience

• 5+ years in ML/Data Science with strong Python skills.
• Hands-on with LLMs, GenAI frameworks, and deep learning (PyTorch/TensorFlow) .
• Experience with Azure ML, Cognitive Services, and Databricks .
• Knowledge of MLOps/model management (Azure ML Service / MLflow).
• Strong background in statistical evaluation and large-scale data handling .

Job Summary:

We are seeking a highly skilled and analytical Data Scientist with hands-on experience in designing, developing, and deploying data-driven solutions. The ideal candidate will have strong expertise in data analysis, machine learning, and cloud-based model deployment preferably on Google Cloud Platform (GCP). This role involves working closely with cross-functional teams to translate data into actionable insights that enhance business decisions, optimize user experiences, and drive measurable outcomes across web and mobile applications, including React-based environments.

Key Responsibilities:

1. Data Analysis and Modelling:

• Analyse large-scale datasets from web and mobile applications (including React-based systems) to identify trends, patterns, and actionable insights.
• Design and develop machine learning, predictive, and statistical models to solve complex business challenges such as churn prediction and customer segmentation.
• Validate and refine model performance using suitable evaluation metrics to ensure accuracy, reliability, and business relevance.

2. Data Collection and Integration:

• Collect and preprocess data from multiple sources, including Firebase services (Firestore, Firebase Analytics), ensuring data quality and consistency.
• Integrate disparate data sources into unified datasets compatible with APIs and application backends on cloud platforms.
• Perform data cleaning, transformation, and feature engineering for modelling and visualization readiness.

3. Insight Generation and Reporting:

• Derive actionable insights to support business and product strategies, such as enhancing user experience in React-based applications.
• Develop and maintain data visualizations and interactive dashboards using cloud-compatible tools.

• Present findings and recommendations through clear reports to both technical and non-technical stakeholders.

4. Collaboration and Communication:

• Collaborate with developers, product managers, and UX teams to align data science initiatives with business goals.
• Communicate project progress, analysis outcomes, and model performance through regular stakeholder updates.
• Work with engineering teams to deploy models seamlessly into production environments (e.g., Firebase-hosted systems).

5. Model Deployment and Monitoring:

• Deploy and operationalize machine learning models in production using Google Cloud Platform (GCP) or other public clouds.
• Continuously monitor model performance, addressing issues like data drift and optimizing scalability and efficiency.
• Implement and maintain model tracking, logging, and monitoring frameworks in cloud environments.

Required Skills:

• 4+ years of professional experience as a Data Scientist or in a similar analytical role.
• Proven hands-on experience with at least one public cloud platform (strong preference for Google Cloud Platform).
• Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience with Firebase, BigQuery, and Vertex AI is highly desirable.
• Expertise in data visualization tools (e.g., Looker Studio, Tableau, or Power BI).
• Strong understanding of data modelling, ETL processes, and API integrations in cloud-based systems.
• Excellent communication skills and ability to collaborate with cross-functional teams.

Qualification:

• Strong analytical and problem-solving skills.
• Desire and ability to rapidly learn a wide variety of new technical skills.
• Self-motivated, takes initiative, assumes ownership.
• Enthusiastic, professional, with a focus on customer success.
• Passion for solving client challenges and commitment to client delight.