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ai research scientist

Cognizant

<div>
 
 
 Job Role: AI Research Scientist
 
 
 
 
 Experience: 10+ years
 
 
 
 
 Location: Bangalore, India
 
 
 
 
 
 
 
 About CAIL:
 
 
 
 The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab&rsquo;s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro&reg; AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life.
 
 
 
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 
 
 We are seeking a passionate and driven AI Research Scientist to join our Advanced AI R&amp;D lab team in India. You will work with the Advanced AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-world applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. As an AI Research Scientist, you will focus on advancing the state-of-the-art AI with emphasis on Generative AI, LLMs, and domain specific AI solutions. You will collaborate with other researchers, engineers, business stakeholders, architects, and domain experts to translate research breakthroughs into scalable products and solutions.
 
 
 
 
 
 
 Detailed Job Description:
 
 
 
 
 
 
 
 Your role:
 
 
 
 As a research scientist, you will work with the Advanced AI Labs research team to understand and push the frontiers of AI, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. The team's current research is focused around areas including, but not limited to:
 
 <ul>
 <li>
 Multi-agent systems
 </li>
 <li>
 AI for decision-making
 </li>
 <li>
 AI orchestration
 </li>
 <li>
 Trustworthy AI
 </li>
 <li>
 Open-ended AI
 </li>
 <li>
 LLMs
 </li>
 <li>
 Evolutionary computation
 </li>
 </ul>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Conduct advanced research in AI/ML, Generative AI, LLMs, and adjacent fields to solve complex and impactful business and societal problems (AI-for-Good).
 </li>
 <li>
 Design, develop, and optimize models and algorithms involving novel architecture and training methodologies and advance AI capabilities.
 </li>
 <li>
 Publish research findings in top-tier peer-reviewed journals and conferences, e.g., IEEE
 </li>
 <li>
 Collaborate cross-functionally with product teams, AI engineers, domain SMEs, and client teams to transition research prototypes into production ready solutions
 </li>
 <li>
 Contribute to open-source communities through active GitHub engagement
 </li>
 <li>
 Stay abreast of the latest developments
 </li>
 <li>
 Mentor junior researchers and engineers
 </li>
 <li>
 Advise AI engineers on the development of practical applications
 </li>
 </ul>
 
 
 Your Profile:
 
 
 <ul>
 <li>
 PhD in Computer Science or another technical field. Exceptional bachelor&rsquo;s or master&rsquo;s degree candidates will also be considered.
 </li>
 <li>
 The ideal candidate will have theoretical and hands-on experience with LLMs.
 </li>
 <li>
 2 years of experience with multi-agents
 </li>
 <li>
 5+ years of experience in AI or ML research
 </li>
 <li>
 Publications at venues such as IEEE, ICLR, NeurIPS, GECCO, ALife, AAAI, IJCAI, ICML, etc.
 </li>
 <li>
 Strong implementation skills
 </li>
 <li>
 Strong development and debugging skills in Python
 </li>
 <li>
 Experience with AI framework such as PyTorch, TensorFlow, LangChain, Keras, Scikit-Learn
 </li>
 <li>
 Strong problem-solving and analytic skills
 </li>
 <li>
 Strong attention to detail and ability to work independently
 </li>
 <li>
 Excellent verbal and written communication skills
 </li>
 <li>
 Strong publication record in top-tier conferences, workshops or journals.
 </li>
 </ul>
 
 
</div>

AI Research Scientist

Tavant

<div>
 
 
 About Tavant:
 
 
 
 
 
 
 With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media &amp; Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry.
 
 
 
 
 
 Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. And we don&rsquo;t focus just on what we do &ndash; we also care how we do it. So, bring your talent and ambition to make a difference. We&rsquo;ll create a world of opportunities for you.
 
 
 
 
 
 
 Job Title
 
 :
 
 Gen AI Engineer or Data scientist
 
 
 
 
 Experience
 
 : 8-15 years
 
 
 
 Work Location
 
 : Bangalore/Hyderabad/Noida/Kolkata/Pune
 
 
 
 Work mode
 
 : Hybrid (3 days WFO)
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 We are hiring a Gen AI Engineer with 3+ years of experience to contribute to cutting-edge projects in Generative AI, search and recommendation systems, and agentic AI. In this role, you&rsquo;ll collaborate on designing scalable AI solutions, support the development of innovative features, and work closely with cross-functional teams to implement and optimize models. You&rsquo;ll play a key role in shaping technical direction while continuing to grow your expertise in a dynamic and fast-paced environment.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 D
 
 esign and develop advanced generative models/large language models
 </li>
 <li>
 Collaborate with other teams to integrate AI solutions into our marketing platform
 </li>
 <li>
 Manage the project lifecycle from research and development to deployment and optimization.
 </li>
 <li>
 Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects.
 </li>
 <li>
 Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Education:
 
 
 <ul>
 <li>
 2 years&rsquo; experience in GenAI and LLM with overall 5-7 years of experience building advanced analytics products.
 </li>
 <li>
 Strong proficiency in Python and AI frameworks.
 </li>
 <li>
 Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps
 </li>
 <li>
 Working knowledge of generative models (GANs, VAEs) and NLP.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data pre-processing techniques.
 </li>
 <li>
 Knowledge of cloud computing and AI deployment (Google Cloud preferred)
 </li>
 <li>
 Excellent problem-solving, analytical, and creative thinking skills
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science or engineering discipline
 </li>
 <li>
 Experience with MySQL and/or PostgreSQL databases.
 </li>
 <li>
 Strong inter-personal communication and collaboration skills. The candidate must be able to work independently &amp; must possess strong communication skills.
 </li>
 <li>
 A good team player, high level of personal commitment &amp; 'can do' attitude.
 </li>
 <li>
 Demonstrable ownership, commitment and willingness to learn new technologies and frameworks
 </li>
 </ul>
 
 
</div>

Data Scientist

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.
 
 
 
 In this role, you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications
 </li>
 <li>
 Build and optimize data architectures to support AI/ML/OR(Operations Research) model training, evaluation and deployment
 </li>
 <li>
 Integrate with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel) and support modular data access by multiple agentic processes
 </li>
 <li>
 Monitor and troubleshoot data workflows, ensuring timely and accurate delivery of data to end users
 </li>
 <li>
 Collaborate with data scientist, project managers and supply chain stakeholders to understand data needs and translates business requirements into technical solutions.
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with 5 years of experience or Master&rsquo;s with 3 years of experience in Computer Science, Information Technology, Engineering or related field
 </li>
 <li>
 Strong hands-on experience in AI agent and AI system development, with solid understanding of LLMs, autonomous agents, retrieval-augmented generation (RAG), and memory architectures
 </li>
 <li>
 Strong hands-on experience with the concept and design of data pipelines utilizing different cloud tools such as SnowFlake, Azure, AWS
 </li>
 <li>
 Familiar with co-solution development environment such as in Scala, Java or Python
 </li>
 <li>
 Familiar with creating reports and visualization using Power BI, Power App, Power Automate or a similar BI tool.
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Background in OR, ML model deployment is a plus
 </li>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Supply Chain AI Architecture Engineer

MakeMyTrip

<div>
 
 We are looking for a
 
 Lead Data Scientist
 
 to join our dynamic team at MakeMyTrip. This is an exceptional opportunity for a seasoned expert to contribute to our hotel ranking, recommendations, pricing, discovery and personalization charters.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning.
 </li>
 <li>
 Work with stakeholders at various stages of project, lead project development from inception to completion.
 </li>
 <li>
 Be a SQL python ninja, understand data thoroughly, build smart AI/ML systems.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip and GoIbibo, i. e., in rapidly growing travel space.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having opportunity to build best in class AI/ML models.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in mathematics, Statistics, related technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 6 years of experience in one or more of the following:
 </li>
 <li>
 ML Modeling, Learning to Rank, Recommendations, or Personalization systems.
 </li>
 <li>
 Knowledge of advanced ML techniques such as Classification, Learning to Rank Methods, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection, Time Series Forecasting.
 </li>
 <li>
 Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
 </li>
 <li>
 Experience of deploying models into production is preferred
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark) with TB to PB scale datasets.
 </li>
 <li>
 Experience with data querying languages (e. g., SQL), scripting languages (e. g., Python), and/or statistical/mathematical software.
 </li>
 <li>
 Strong research record demonstrated through publications.
 </li>
 <li>
 Experience with design and analysis of experiments.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Lead Data Scientist

RemoteStar

<div>
 
 
 Job Title:
 
 Data Scientist &ndash; Agentic AI &amp; MLOps
 
 
 
 Location:
 
 Bangalore - Hybrid (3 days work from office, 2 days from home)
 
 
 
 
 
 
 About Us:
 
 
 
 
 
 
 Our client delivers next-generation security analytics and operations management. They secure organisations worldwide by staying ahead of cyber threats, leveraging AI-reinforced capabilities for unparalleled protection.
 
 
 
 
 
 
 Job Overview:
 
 
 
 
 
 
 We&rsquo;re seeking a Senior Data Scientist to architect agentic AI solutions and own the full ML lifecycle&mdash;from proof-of-concept to production. You&rsquo;ll operationalise LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Operationalise large language models and agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) to automate security decision-making and threat response.
 </li>
 <li>
 Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response.
 </li>
 <li>
 Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices.
 </li>
 <li>
 Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline.
 </li>
 <li>
 Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows.
 </li>
 <li>
 Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerised with Docker and Kubernetes.
 </li>
 <li>
 Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyse performance and optimise for cost and SLA compliance.
 </li>
 <li>
 Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI or related quantitative discipline.
 </li>
 <li>
 4+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures.
 </li>
 <li>
 In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG).
 </li>
 <li>
 Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks.
 </li>
 <li>
 Strong proficiency in Python and production-grade coding for data pipelines and AI workflows.
 </li>
 <li>
 Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices.
 </li>
 <li>
 Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred).
 </li>
 <li>
 Infrastructure as Code skills with Terraform.
 </li>
 <li>
 Experience building REST APIs, microservices, and containerization with Docker and Kubernetes.
 </li>
 <li>
 Solid data science fundamentals: feature engineering, model evaluation, data ingestion.
 </li>
 <li>
 Understanding of cybersecurity principles, SIEM data, and incident response.
 </li>
 <li>
 Excellent communication skills for both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 <ul>
 <li>
 AWS certifications (Solutions Architect, Developer Associate).
 </li>
 <li>
 Experience with Model Context Protocol (MCP) and RAG integrations.
 </li>
 <li>
 Familiarity with workflow orchestration tools (Apache Airflow).
 </li>
 <li>
 Experience with time series analysis, anomaly detection, and machine learning.
 </li>
 </ul>
</div>

Data Scientist – Agentic AI & MLOps

CirrusLabs

<div>
 
 Experience : 8+ Years
 
 
 
 Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI
 
 
 
 
 
 
 
 Position Overview
 
 
 
 We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 AI/ML Development &amp; Data Science:
 
 Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
 </li>
 <li>
 Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
 </li>
 <li>
 Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
 </li>
 <li>
 Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
 </li>
 <li>
 Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques
 </li>
 <li>
 Research and prototype cutting-edge generative AI solutions
 </li>
 <li>
 
 Traditional ML &amp; Statistics:
 
 Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
 </li>
 <li>
 Perform feature engineering, selection, and dimensionality reduction techniques
 </li>
 <li>
 Conduct statistical inference, confidence intervals, and significance testing
 </li>
 <li>
 Design and analyze controlled experiments and observational studies
 </li>
 <li>
 Apply Bayesian methods and probabilistic modeling approaches
 </li>
 <li>
 
 Full Stack Development:
 
 Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)
 </li>
 <li>
 Build robust backend services and APIs using Python, Node.js, or similar technologies
 </li>
 <li>
 Design and implement database solutions (SQL/NoSQL) optimized for ML workloads
 </li>
 <li>
 Create intuitive user interfaces for AI-powered applications and statistical dashboards
 </li>
 <li>
 
 MLOps &amp; Infrastructure:
 
 Establish and maintain ML pipelines for model training, validation, and deployment
 </li>
 <li>
 Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar
 </li>
 <li>
 Monitor model performance, drift detection, and automated retraining systems
 </li>
 <li>
 Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
 </li>
 <li>
 Containerize applications using Docker and orchestrate with Kubernetes
 </li>
 <li>
 
 Collaboration &amp; Leadership:
 
 Work closely with data scientists, product managers, and engineering teams
 </li>
 <li>
 Mentor junior engineers and contribute to technical decision-making
 </li>
 <li>
 Participate in code reviews and maintain high development standards
 </li>
 <li>
 Stay current with latest AI/ML trends and technologies
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Experience &amp; Education:
 
 7-8 years of professional software development experience
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
 </li>
 <li>
 6+ years of hands-on AI/ML experience in production environments
 </li>
 <li>
 
 Technical Skills:Programming:
 
 Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus
 </li>
 <li>
 
 Traditional ML:
 
 Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
 </li>
 <li>
 
 Statistics:
 
 Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
 </li>
 <li>
 
 Statistical Tools:
 
 Experience with R, SAS, SPSS, or similar statistical software packages
 </li>
 <li>
 
 Deep Learning:
 
 TensorFlow, PyTorch, neural networks, computer vision, NLP
 </li>
 <li>
 
 LLM Experience:
 
 Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering
 </li>
 <li>
 
 RAG Implementation:
 
 Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
 </li>
 <li>
 
 Data Science:
 
 Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
 </li>
 <li>
 
 Full Stack:
 
 React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs
 </li>
 <li>
 
 Databases:
 
 PostgreSQL, MongoDB, Redis, vector databases
 </li>
 <li>
 
 MLOps:
 
 Docker, Kubernetes, CI/CD, model versioning, monitoring tools
 </li>
 <li>
 
 Cloud Platforms:
 
 AWS/GCP/Azure, serverless architectures
 </li>
 <li>
 
 Soft Skills:
 
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Self-motivated with ability to work in fast-paced environments
 </li>
 <li>
 Experience with agile development methodologies
 </li>
 <li>
 
 Preferred Qualifications
 
 Experience with causal inference methods and econometric techniques
 </li>
 <li>
 Knowledge of distributed computing frameworks (Spark, Dask)
 </li>
 <li>
 Experience with edge AI and model optimization techniques
 </li>
 <li>
 Publications in AI/ML/Statistics conferences or journals
 </li>
 <li>
 Open source contributions to ML/statistical projects
 </li>
 <li>
 Experience with advanced statistical modeling and multivariate analysis
 </li>
 <li>
 Familiarity with operations research and optimization techniques
 </li>
 </ul>
 
 
</div>

ORMAE

<div>
 
 ORMAE is hiring Sr. Operations Research Scientist
 
 
 
 
 
 
 Who we are:
 
 
 
 
 
 
 - ORAME is a successful Tech start-up founded and headed by Guinness World Record Holder Dr. Amit Garg an IIT Delhi Graduate who has won medals for India in Global Math Championships. ORMAE has 50+ Global Clients including 12+ $1B+ Clients.
 
 
 
 
 
 - ORMAE has helped them on 100+ Optimization &amp; Data Science Projects across the globe including USA, Germany, UAE, Saudi Arabia, Japan &amp; India. ORMAE is one of the very few Operations Research &amp; Data Science consulting company, mainly focus in converting groundbreaking digital business transformation ideas into innovative Optimization and Data Science solutions.
 
 
 
 
 
 - Our services are extended to multiple areas like Supply Chain, logistics, health care, telecom, retail and many more.
 
 
 
 
 
 
 Requirement:
 
 
 
 
 
 
 - ORMAE is looking for a Lead OR Scientist with sound analytics background to deliver solutions for complex problems of our clients.
 
 
 
 
 
 -This is a Leadership Role; the candidate will be expected to Lead and mentor a Team of OR Scientists
 
 
 
 
 
 -One should have 8 plus years of working experience in designing and implementing complex/large scale optimization solutions.
 
 
 
 
 
 - The scientist should have exposure to Operations Research algorithm design and implementation. Advanced analytics experience is preferred.
 
 
 
 
 
 - Should have a strong interest and ability to solve mathematical modeling including column generation, cutting plane &amp; LP tools like Cplex, Gurobi, GAMS, AMPL
 
 
 
 
 
 -
 
 "AIMMS knowledge is preferred"
 
 
 
 
 
 
 
 
 
 
 Skills :
 
 
 
 
 
 
 -Should have mentored a Team of OR Scientists (OR) in the similar capacity
 
 
 
 
 
 - Ability to understand the business problem and convert it as a mathematical model is preferred. Exposure to Optimization &amp; statistical software like Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is preferred.
 
 
 
 
 
 - Should have a scientific mindset and interest in Operation Research algorithms w.r.t routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, supply chain management.
 
 
 
 
 
 -Effective Client Management skills
 
 
 
 
 
 
 
 
 
 Additional skills:
 
 
 
 - Programming experience in Python/Java/C#/ C++/R of the optimization algorithm is preferred.
 
 
 
 
 
 
 
 
 
 Education :
 
 Graduation or Masters in Operations Research, Computer Science (with operations research experience), Industrial Engineering, Statistics, Business Analytics, or a similar field from any premium institute.
 
 
 
 
 
 
 Perks :
 
 
 
 
 
 
 - Working with a young enthusiast team.
 
 
 
 
 
 - A unique experience: Working on analytics to solve real-time problems.
 
 
 
 
 
 - Working with reputed mathematician Dr. Amit Garg (Guinness World Record Holder) Flexible working hours, with a high potential OR Team.
 
 
 
 
 
 
 
 
 
 What Is in it For Me ; Candidate Benefits :
 
 
 
 
 
 
 - Meritocracy based Career Progression
 
 
 
 
 
 - Livewire Environment
 
 
 
 
 
 - Great Technical cross training &amp; mentorship
 
 
 
 
 
 - Happening start up - in the garden city of Bengaluru
 
 
 
 
 
 
 
 
 If you find the job description aligned with your expertise and interests, please share your updated CV at vidhya_v@ormae.com
 
</div>

Sr. Operations Research Scientist (Preferably from Consulting background)

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322 ai research scientist jobs IN Mangaluru

AI Research Scientist

Data Scientist

Supply Chain AI Architecture Engineer

Lead Data Scientist

Data Scientist – Agentic AI & MLOps

Data Scientist

Sr. Operations Research Scientist (Preferably from Consulting background)