3,241 Scientists jobs in India

Description

Key Responsibilities

AI/ML Development & Research

• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems

• Implement and optimize Large Language Models (LLMs) and Generative AI solutions

• Build agentic AI systems with autonomous decision-making capabilities

• Conduct research on emerging AI technologies and their practical applications

• Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP

• Develop full-stack applications integrating AI models with modern web technologies

• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)

• Implement CI/CD pipelines for ML model deployment and monitoring

• Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

• Design and implement data pipelines for large-scale data processing

• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)

• Optimize database performance for ML workloads and real-time applications

• Implement data governance and quality assurance frameworks

• Handle streaming data processing and real-time analytics

Leadership & Collaboration

• Mentor junior data scientists and guide technical decision-making

• Collaborate with cross-functional teams including product, engineering, and business stakeholders

• Present findings and recommendations to technical and non-technical audiences

• Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field

• 5+ years of hands-on experience in data science and machine learning

• 3+ years of experience with deep learning frameworks and neural networks

• 2+ years of experience with cloud platforms and full-stack development

Technical Skills - Core AI/ML

• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms

• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers

• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering

• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation

• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills - Development & Infrastructure

• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI

• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)

• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes

• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks

• Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)

• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks

• Experience with model compression and edge deployment

• Familiarity with distributed computing and parallel processing

• Experience with computer vision and NLP applications

• Knowledge of federated learning and privacy-preserving ML

• Experience with quantum machine learning

• Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

• Strong mathematical foundation in statistics, linear algebra, and optimization

• Ability to implement algorithms from research papers

• Experience with model interpretability and explainable AI

• Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

• Strong analytical and critical thinking skills

• Ability to translate business requirements into technical solutions

• Creative approach to solving complex, ambiguous problems

• Experience with rapid prototyping and experimentation

Communication & Leadership

• Excellent written and verbal communication skills

• Ability to explain complex technical concepts to diverse audiences

• Strong project management and organizational skills

• Experience mentoring and leading technical teams

Description

Key Responsibilities

AI/ML Development & Research

• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems

• Implement and optimize Large Language Models (LLMs) and Generative AI solutions

• Build agentic AI systems with autonomous decision-making capabilities

• Conduct research on emerging AI technologies and their practical applications

• Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP

• Develop full-stack applications integrating AI models with modern web technologies

• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)

• Implement CI/CD pipelines for ML model deployment and monitoring

• Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

• Design and implement data pipelines for large-scale data processing

• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)

• Optimize database performance for ML workloads and real-time applications

• Implement data governance and quality assurance frameworks

• Handle streaming data processing and real-time analytics

Leadership & Collaboration

• Mentor junior data scientists and guide technical decision-making

• Collaborate with cross-functional teams including product, engineering, and business stakeholders

• Present findings and recommendations to technical and non-technical audiences

• Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field

• 5+ years of hands-on experience in data science and machine learning

• 3+ years of experience with deep learning frameworks and neural networks

• 2+ years of experience with cloud platforms and full-stack development

Technical Skills - Core AI/ML

• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms

• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers

• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering

• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation

• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills - Development & Infrastructure

• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI

• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)

• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes

• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks

• Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)

• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks

• Experience with model compression and edge deployment

• Familiarity with distributed computing and parallel processing

• Experience with computer vision and NLP applications

• Knowledge of federated learning and privacy-preserving ML

• Experience with quantum machine learning

• Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

• Strong mathematical foundation in statistics, linear algebra, and optimization

• Ability to implement algorithms from research papers

• Experience with model interpretability and explainable AI

• Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

• Strong analytical and critical thinking skills

• Ability to translate business requirements into technical solutions

• Creative approach to solving complex, ambiguous problems

• Experience with rapid prototyping and experimentation

Communication & Leadership

• Excellent written and verbal communication skills

• Ability to explain complex technical concepts to diverse audiences

• Strong project management and organizational skills

• Experience mentoring and leading technical teams

Description

Key Responsibilities

AI/ML Development & Research

• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems

• Implement and optimize Large Language Models (LLMs) and Generative AI solutions

• Build agentic AI systems with autonomous decision-making capabilities

• Conduct research on emerging AI technologies and their practical applications

• Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP

• Develop full-stack applications integrating AI models with modern web technologies

• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)

• Implement CI/CD pipelines for ML model deployment and monitoring

• Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

• Design and implement data pipelines for large-scale data processing

• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)

• Optimize database performance for ML workloads and real-time applications

• Implement data governance and quality assurance frameworks

• Handle streaming data processing and real-time analytics

Leadership & Collaboration

• Mentor junior data scientists and guide technical decision-making

• Collaborate with cross-functional teams including product, engineering, and business stakeholders

• Present findings and recommendations to technical and non-technical audiences

• Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field

• 5+ years of hands-on experience in data science and machine learning

• 3+ years of experience with deep learning frameworks and neural networks

• 2+ years of experience with cloud platforms and full-stack development

Technical Skills - Core AI/ML

• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms

• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers

• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering

• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation

• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills - Development & Infrastructure

• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI

• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)

• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes

• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks

• Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)

• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks

• Experience with model compression and edge deployment

• Familiarity with distributed computing and parallel processing

• Experience with computer vision and NLP applications

• Knowledge of federated learning and privacy-preserving ML

• Experience with quantum machine learning

• Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

• Strong mathematical foundation in statistics, linear algebra, and optimization

• Ability to implement algorithms from research papers

• Experience with model interpretability and explainable AI

• Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

• Strong analytical and critical thinking skills

• Ability to translate business requirements into technical solutions

• Creative approach to solving complex, ambiguous problems

• Experience with rapid prototyping and experimentation

Communication & Leadership

• Excellent written and verbal communication skills

• Ability to explain complex technical concepts to diverse audiences

• Strong project management and organizational skills

• Experience mentoring and leading technical teams

At MACRO Recruitment, we are a trusted provider of biological science services to the Defence Science and Technology Group (DSTG), supporting Australia's national defence and security capabilities.
Our work spans exciting and impactful projects in areas such as genomics, biotechnology, bioinformatics, and biological detection and diagnostics.
We are always on the lookout for talented Biological Scientists, Lab Technicians, and Biotech Specialists to join our talent pool for future opportunities.

About DSTG and Our Work
DSTG's Fishermans Bend facility in Melbourne is a world-class research hub for critical defence innovation, including biological and chemical sciences. 
Key focus areas include:

• Chemical, Biological, Radiological, and Nuclear (CBRN) Defence
• Aerosol Defence Research (protection against dermal and respiratory hazards)
• Bioterrorism Preparedness and Epidemic Modelling
• Radiological and Nuclear Defence Research

As a partner to DSTG, MACRO Recruitment delivers critical biological science services that support their research and development efforts.

Key Services We Deliver
As a biological science professional working with us, you could contribute to projects involving:

• Genomics services and bioinformatics.Biological sampling, culturing, analysis, and maintenance.
• Molecular biology and biotechnology (design, synthesis, and evaluation).
• Development of vaccines, therapeutics, and diagnostics.
• Sample preparation, experimental design, deployment, monitoring, and retrieval.
• Biological instrumentation development, calibration, and safety compliance.
• Analytical services, measurement, and characterization of biological studies.
• Equipment, assay, and software development for biological detection and diagnostics.

Who We’re Looking For
We’re building a network of skilled professionals with:

• Tertiary qualifications in biology, biotechnology, molecular biology, or related fields.
• Experience in technical and/or management roles delivering biological science services.
• Familiarity with Australian and International Standards, regulations, and Defence requirements.
• A proactive and collaborative mindset, with excellent attention to detail and problem-solving skills.

Why Register With MACRO Recruitment?

• Contribute to cutting-edge defence research supporting Australia’s national security.
• Gain access to opportunities at world-class facilities like DSTG Fishermans Bend.
• Work on innovative projects in a collaborative and multidisciplinary environment.
• Flexible employment opportunities (fixed term part-time, and casual roles).
• Be the first to hear about new vacancies as they arise through MACRO Recruitment.

Register Your Interest Today
If you’re a Biological Scientist, Technician, or Specialist with a passion for innovation and a desire to contribute to national defence projects, we encourage you to join our talent pool.

• Leading independent research projects from conception to completion, aligned with organizational goals.
• Designing and executing complex experiments using advanced biotechnology techniques.
• Analyzing and interpreting experimental data, drawing robust conclusions, and formulating new hypotheses.
• Mentoring and supervising junior researchers and technical staff, providing guidance and training.
• Collaborating with internal and external stakeholders to foster innovation and achieve research objectives.
• Preparing research proposals, securing funding, and managing project budgets.
• Disseminating research findings through publications in peer-reviewed journals and presentations at scientific conferences.
• Ensuring compliance with all relevant laboratory safety protocols and ethical guidelines.
• Identifying and evaluating new technologies and methodologies to enhance research capabilities.
• Contributing to the strategic planning of the research department.

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience!

We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments.

Key Responsibilities:

Minimum Qualifications

Preferred Qualifications:

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

• Lead and execute complex research projects in areas of scientific expertise, developing novel methodologies and approaches.
• Design and conduct experiments, collect and analyze data, and interpret results to draw meaningful conclusions.
• Develop and validate new scientific techniques and protocols.
• Stay abreast of the latest scientific literature, emerging technologies, and industry trends.
• Collaborate with cross-functional teams, including engineers, product developers, and other scientists, to translate research findings into practical applications.
• Prepare detailed research reports, presentations, and publications for internal and external audiences.
• Mentor junior researchers and provide technical guidance and support.
• Manage research budgets and resources effectively.
• Ensure adherence to laboratory safety protocols and ethical research practices.
• Contribute to the strategic direction of the R&D department by identifying new research opportunities and areas for innovation.

• Ph.D. in a relevant scientific field such as Chemistry, Biology, Physics, Materials Science, or a related discipline.
• Minimum of 5-7 years of post-doctoral research experience in a laboratory or R&D setting.
• Demonstrated expertise in experimental design, data analysis, and scientific methodology.
• Proven ability to independently manage research projects and deliver high-quality results.
• Strong publication record in peer-reviewed journals.
• Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
• Proficiency in relevant scientific software and laboratory techniques.
• Strong analytical and problem-solving skills.
• Ability to work effectively in both collaborative and independent settings.
• Experience with grant writing or proposal development is a plus.

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

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-powered 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• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• 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 modelling, 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.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together.