research scientist

GreyOrange

<div>
 
 As an Operations Research Scientist at GreyOrange, you will play a pivotal role in designing, developing, and implementing advanced models and algorithms that enhance decision-making across various business functions.
 
 
 You will collaborate with cross-functional teams, including product development, engineering, to optimize processes, improve product performance, and solve complex problems using mathematical and computational methods.
 
 
 The ideal candidate has a deep understanding of optimization, statistical modeling, and machine learning, with a passion for solving real-world problems in a high-tech environment.
 
 
 
 Roles and responsibilities:
 
 
 <ul>
 <li>
 Develop and apply advanced operations research models, including optimization, simulation, and stochastic models, to solve complex business challenges.
 </li>
 <li>
 Work closely with engineering, data science, and product teams to integrate OR models into SaaS platforms, providing actionable insights to enhance product performance.
 </li>
 <li>
 Design and implement optimization algorithms (e.g., linear programming, mixed-integer programming, and nonlinear optimization) to drive business efficiency and effectiveness.
 </li>
 <li>
 Analyze large datasets and develop predictive models using statistical and machine learning techniques to improve decision-making processes.
 </li>
 <li>
 Develop mathematical models, simulations, or optimization algorithms to represent real-world systems or problems.
 </li>
 <li>
 Use techniques like linear programming, dynamic programming, queuing theory, or game theory to create models.
 </li>
 <li>
 Build simulation models to evaluate potential solutions and improve resource allocation, scheduling, and supply chain logistics.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into mathematical models and algorithmic solutions.
 </li>
 <li>
 Collaborate with cross-functional teams such as engineering, product, and operations to implement solutions.
 </li>
 <li>
 Communicate findings, insights, and recommendations to non-technical stakeholders through reports, presentations, or data visualizations.
 </li>
 <li>
 Communicate complex mathematical concepts and results to non-technical stakeholders in a clear and understandable manner.
 </li>
 <li>
 Monitor the performance of implemented solutions and refine models over time based on feedback and new data.
 </li>
 <li>
 Stay updated with the latest advancements in operations research, machine learning, and optimization, and apply best practices to develop innovative solutions.
 </li>
 <li>
 Document models, algorithms, and analytical processes for future reference and team knowledge sharing.
 </li>
 <li>
 Generate reports that summarize the outcomes of analyses and model performance.
 </li>
 </ul>
 
 
 Requirements/Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field.
 </li>
 <li>
 Strong expertise in mathematical modeling, optimization techniques (linear programming, dynamic programming), and statistical analysis.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, C++, and experience with optimization tools (Gurobi, CPLEX, MATLAB).
 </li>
 <li>
 Familiarity with data analysis, machine learning techniques, and simulation.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate complex problems into actionable insights.
 </li>
 <li>
 Strong collaboration skills and the ability to communicate complex concepts to non-technical stakeholders.
 </li>
 <li>
 Experience managing or contributing to research projects in a fast-paced environment.
 </li>
 </ul>
 
 
 About GreyOrange:
 
 
 <ul>
 <li>
 GreyOrange is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide.
 </li>
 <li>
 Our solutions increase productivity, empower growth and scale, mitigate labor challenges, reduce risk and time to market, and create better experiences for customers and employees.
 </li>
 <li>
 Founded in 2012, GreyOrange is headquartered in Atlanta, Georgia, with offices and partners across the Americas, Europe and Asia.
 </li>
 </ul>
 
 
 Our Solutions:
 
 
 <ul>
 <li>
 The GreyMatter Multiagent Orchestration (MAO) platform provides vendor-agnostic fulfillment orchestration to continuously optimize performance in real time: the right order, with the right bot and agent, taking the right path and action.
 </li>
 <li>
 Currently operating more than 70 fulfillment sites across the globe (with deployments of 700+ robots at a single site), GreyMatter enables customers to decrease their fulfillment Cost Per Unit by 50%, reduce worker onboarding time by 90% and optimize peak season performance.
 </li>
 <li>
 In retail stores, our gStore end-to-end store execution and retail management solution supports omnichannel fulfillment, real-time replenishment, intelligent workforce tasking and more.
 </li>
 <li>
 Using real-time overhead RFID technology, the platform increases inventory accuracy up to 99%, doubles staff productivity, and enables an engaging, seamless in-store experience.
 </li>
 </ul>
 
 
 EEO:
 
 
 <ul>
 <li>
 GreyOrange provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 </li>
 <li>
 This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 </li>
 </ul>
</div>

Operations Research Scientist

Microsoft

<div>
 
 Overview
 
 
 
 The Data and Artificial Intelligence team in Microsoft&rsquo;s Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.
 
 
 We are looking for a passionate and growth-oriented Senior Applied Scientist to join our team working on high-impact projects at the intersection of AI and software engineering. As an Applied Scientist, you will play a pivotal role in development and application of advanced data science techniques&mdash;especially those involving LLMs&mdash;to real-world developer workflows. You&rsquo;ll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows. You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines, finetuning and evaluation frameworks), turning insights into scalable product features. Most importantly, you&rsquo;ll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research and productization of state-of-the-art in AI for Software Engineering.
 </li>
 <li>
 Build and manage large-scale AI experiments and models.
 </li>
 <li>
 Drive experimentation through A/B testing and offline validation to evaluate model performance.
 </li>
 <li>
 Collaborate across disciplines and geographies with product teams in Microsoft and Github, integrate AI across software development stack for Copilot.
 </li>
 <li>
 Stay up to date with the research literature and product advances in AI for software engineering
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Minimum Qualifications:
 
 
 <ul>
 <li>
 Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.
 </li>
 <li>
 6+ years experience with strong proficiency in Python, machine learning frameworks, and experience developing and deploying generative AI or machine learning models into production. (Experience with additional programming languages is a plus but not required.)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significant appropriate experience will be considered).
 </li>
 <li>
 Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.
 </li>
 <li>
 Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.
 </li>
 <li>
 Experience with LLMs in natural language, AI for code or related fields
 </li>
 <li>
 Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills.
 </li>
 <li>
 Experience in productizing AI and collaborating with multidisciplinary teams.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Data Scientist

Syngene International Limited

<div>
 Date: 23 Dec 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Dedicated Centre
 
 
 
 Job Description
 
 
 
 Designation: Associate Scientist (8-I)
 
 
 Job Location: Bangalore
 
 
 Department: BBRC PD ARD &ndash; GMP
 
 
 
 About Syngene
 
 
 
 Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development, and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical industries worldwide. Syngene&rsquo;s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA, and Herbalife. Its innovative culture is driven by the passion of its 4240- a strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&amp;D productivity, speed up time to market, and lower the cost of innovation.
 
 
 Job Purpose (1-2 Lines): Analytical Research and Development working on Analytical GMP testing (AGT), and Syngene BMS Laboratory (SBL) stability programs
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Routine testing of stability samples using chromatographic, dissolution, and wet analytical techniques under a GMP environment following all cGMP practices
 </li>
 <li>
 Performing instrument calibration, method validation, and method transfers
 </li>
 <li>
 Troubleshooting HPLC and dissolution apparatus
 </li>
 <li>
 Interpretation of stability data and results trending
 </li>
 <li>
 Investigation of OOS/OOT and other laboratory events
 </li>
 <li>
 Deliver analytical results within the established windows and as per applicable guidelines
 </li>
 <li>
 Compliance &amp; implementation of quality systems
 </li>
 <li>
 Follow environment, health, and safety (EHS) requirements at all times in the workplace ensuring individual and lab/plant safety
 </li>
 <li>
 Electronic lab notebook documentation
 </li>
 <li>
 Miscellaneous lab responsibilities
 
 
 </li>
 </ul>
 Educational Qualifications: M.Sc. Chemistry or M. Pharm
 
 
 
 Technical/Functional Skills
 
 
 
 <ul>
 <li>
 The candidate should have a good educational and theoretical, analytical chemistry background
 </li>
 <li>
 Good knowledge of analytical techniques
 </li>
 <li>
 The candidate should understand instrument calibration, method validation, and routine analysis
 </li>
 <li>
 Good understanding of documentation as per GxP requirements (electronic notebook)
 </li>
 <li>
 The candidate should have good proficiency in MS office tools
 </li>
 <li>
 Experience in stability samples testing and good knowledge of ICH guidelines &amp; cGMP regulatory requirements
 </li>
 <li>
 Must have worked in a cGMP-regulated environment, exposure to regulatory inspections like US FDA, MHRA, etc. is preferred
 
 
 </li>
 </ul>
 
 Behavioral Skills
 
 
 
 <ul>
 <li>
 Strong commitment toward work and a high level of dedication, enthusiasm, and motivation
 </li>
 <li>
 Good speaking-listening-writing skills, attention to detail, proactive self-starter
 </li>
 <li>
 Ability to work successfully in a dynamic environment
 </li>
 <li>
 Should be able to work in a team and flexible for working in shifts.
 </li>
 <li>
 Ability to meet tight deadlines and prioritize workloads.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
</div>

Associate Scientist

<div>
 Date: 10 Oct 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Discovery Services
 
 
 
 Job Title: Invivo Pharmacology Scientist
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 JOB PURPOSE (Briefly Describe The Objectives Of The Job)
 
 
 
 Responsible for executing the assigned in vivo efficacy studies in metabolic disorder therapeutic area.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to conduct assigned research projects including experiments with utilizing current concepts and recognized standard techniques.
 </li>
 <li>
 Responsible to set up the experimental designs, analysis of data and concluding from the progress.
 </li>
 <li>
 Record laboratory observations information in lab notebooks, database and document the experimental designs.
 </li>
 <li>
 Responsible for data analysis, perform calculations for the result of the experiment.
 </li>
 <li>
 Summarize the research and communicate result of research to the supervisor.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 
 <ul>
 <li>
 M.Pharm Pharmacology
 </li>
 <li>
 M.V.Sc Pharmacology / Pathology
 </li>
 <li>
 M.Sc Neuroscience / Biochemistry / Biotechnology
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 0 - 6 years of Industrial experience
 
 
 
 Technical /Functional Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in execution of CNS disease models which includes psychiatric disorders such as anxiety, depression, PTSD etc., and neurological conditions like Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cerebral ischemia and epilepsy.
 </li>
 <li>
 Hands-on experience in animal behavioral observation, quantification of animal behavior, experience in stereotaxic surgery, microdialysis, cannulation techniques, immunohistochemistry and ELISA.
 </li>
 <li>
 Will work independently or in association with senior scientists and other associates in the design and execution of in-vivo efficacy experiments in the relevant therapeutic area.
 </li>
 <li>
 Experience in animals handling (rodents and non rodents) such as dosing by various routes, bleeding by various routes, injections by various routes and surgical modalities which includes cannulation etc&hellip;
 </li>
 <li>
 Associate to provide technical, analysis and reporting outcomes of research for projects in relevant therapeutic area.
 </li>
 <li>
 Organizational skills and the ability to work in a highly collaborative environment are required.
 
 
 </li>
 </ul>
 
 Behavioral/Managerial Skills
 
 
 
 <ul>
 <li>
 Good communication skills
 </li>
 <li>
 Excellent interpersonal skills.
 </li>
 <li>
 Good team player
 </li>
 <li>
 Strong documentation Skills.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.
</div>

in vivo pharmacologist

A.P. Moller - Maersk

<div>
 
 AI/ML Scientist (Operations research/Optimization/Simulation)
 
 
 
 
 A.P. Moller - Maersk
 
 
 
 A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
 Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
 
 
 The team - who are we:
 
 
 We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML), advanced simulation, optimization and engineering excellence to make a difference for our customers.
 
 
 We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally.
 
 
 We are now seeking a new team member who is excited about developing advanced simulation models,optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals
 
 
 worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency
 
 
 and business value.
 
 
 We Offer - This Is What You Get
 
 
 You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
 
 
 terminals. As an AI/ML Scientist, you will have a leading role in designing, building, maintaining, and
 
 
 iterating on products that directly impact terminal operations.
 
 
 This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create
 
 
 operational and strategic insights that are transforming container terminal operations globally.
 
 
 This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in
 
 
 terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global trade via world-leading container terminals. We focus on our people and the right candidate will have broad
 
 
 possibilities to further develop competencies in an environment characterized by change and continuous Progress.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, implement and deliver advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
 </li>
 <li>
 Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
 </li>
 <li>
 Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
 </li>
 <li>
 Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
 </li>
 <li>
 Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
 </li>
 <li>
 Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
 
 
 </li>
 </ul>
 To do this job, we imagine you have:
 
 
 <ul>
 <li>
 5+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
 </li>
 <li>
 PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
 </li>
 <li>
 Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
 </li>
 <li>
 Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
 </li>
 <li>
 Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
 </li>
 <li>
 Excellent record of delivery using Python and technologies like Git, JIRA, etc.
 </li>
 <li>
 Ability to understand complex operational systems and translate business requirements into effective technical solutions.
 </li>
 <li>
 Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
 </li>
 <li>
 Experience working with cloud environments.
 
 
 </li>
 </ul>
 Nice to have:
 
 
 <ul>
 <li>
 Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
 </li>
 <li>
 Familiarity with container handling equipment, yard operations, or vessel operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
 </li>
 <li>
 Experience developing and interacting with generative AI models.
 
 
 </li>
 </ul>
 Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
 
 
 We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
</div>

AI/ML Scientist(Operations research/Optimization/Simulation)

Glance

<div>
 
 
 What you will be doing
 
 
 
 We are looking for a Data Scientist who can operate at the intersection of
 
 classical machine learning
 
 ,
 
 large-scale recommendation systems
 
 , and
 
 modern agentic AI systems
 
 .
 
 
 You will design, build, and deploy intelligent systems that power Glance&rsquo;s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
 
 
 
 Your responsibilities will include:
 
 
 
 
 Classical ML &amp; Recommendation Systems
 
 
 <ul>
 <li>
 Design and develop large-scale recommendation systems using advanced ML, statistical modelling, ranking algorithms, and deep learning.
 </li>
 <li>
 Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
 </li>
 <li>
 Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
 </li>
 <li>
 Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
 </li>
 <li>
 Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
 </li>
 </ul>
 
 
 Agentic Systems &amp; Next-Gen AI
 
 
 <ul>
 <li>
 Build and experiment with
 
 agentic AI systems
 
 that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
 </li>
 <li>
 Apply
 
 LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models
 
 for semantic understanding, content classification, and user preference modelling.
 </li>
 <li>
 Design intelligent agents that can automate repetitive decision-making tasks&mdash;e.g., candidate generation tuning, feature selection, or context-aware content curation.
 </li>
 <li>
 Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.
 </li>
 </ul>
 
 
 Cross-functional impact
 
 
 <ul>
 <li>
 Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance&rsquo;s consumer experiences.
 </li>
 <li>
 Contribute to Glance&rsquo;s ML/AI thought leadership&mdash;blogs, case studies, internal tech talks, and industry conferences.
 </li>
 <li>
 Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
 </li>
 <li>
 Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
 </li>
 </ul>
 
 
 
 
 We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.
 
 
 You should have experience with:
 
 <ul>
 <li>
 Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
 </li>
 <li>
 Classical ML and deep learning techniques across NLP, sequence modelling, RL, clustering, and time series.
 </li>
 <li>
 Experience in deploying ML workflows/models in production system
 </li>
 <li>
 Big data processing (Spark, distributed data systems) and cloud computing.
 </li>
 <li>
 Designing end-to-end ML solutions&mdash;from prototype to production.
 </li>
 <li>
 Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
 </li>
 <li>
 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
 </li>
 <li>
 Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
 </li>
 <li>
 Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
 </li>
 <li>
 Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
 </li>
 <li>
 Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
 </li>
 <li>
 Comfortable working in cross-functional teams.
 </li>
 <li>
 Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
 </li>
 <li>
 Excellent communication skills with the ability to simplify complex technical concepts.
 </li>
 </ul>
 
 
 
 We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.
 
 
 Our team includes engineers, physicists, economists, mathematicians, and social scientists&mdash;a great data scientist can come from anywhere.
 
</div>

Machine Learning Engineer III - Recommendation Systems

Cytiva

<div>
 
 Bring more to life.
 
 
 
 Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
 
 
 At Cytiva, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact.
 
 
 You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life.
 
 
 Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
 
 
 At Cytiva you will be able to continuously improve yourself and us &ndash; working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
 
 
 Learn about the Danaher Business System which makes everything possible.
 
 
 The R&amp;D team at Cytiva is responsible for the design, development, test, verification and validation of Cytiva&rsquo;s instruments and technology solutions across the bioprocess continuum.
 
 
 As a
 
 Scientist
 
 with the India R&amp;D team, you will perform hands-on laboratory work to establish the products under development meet intended use. You are also expected to support efforts to analyze and provide innovative solutions to address our customer needs.
 
 
 This role requires strong scientific and technical expertise in upstream technologies, specifically to run cell cultures and operate bioreactors. Knowledge of process development and scaling strategies will be advantageous.
 
 
 This position reports to the
 
 Manager &ndash; Applied Sciences
 
 and is part of the
 
 Central Technology Organization (CTO) R&amp;D department
 
 located in
 
 Bangalore
 
 . It will be an on-site role.
 
 
 
 What Will You Do
 
 
 
 <ul>
 <li>
 Serve as the technical bridge between users and the engineering team helping translate user requirements to system specifications and helping validate that the finished products meet intended-use.
 </li>
 <li>
 Plan, design and execute upstream experiments (cell culture, bioreactor operations), to test technology hypotheses.
 </li>
 <li>
 Undertake experimental optimization of process parameters for robustness and scalability.
 </li>
 <li>
 Analyze data using standard techniques; prepare clear reports to meet requirements of our quality management system
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Biotechnology, Biochemical Engineering, or related field.
 </li>
 <li>
 3+ years of hands-on experience in upstream bioprocessing, preferably in a biopharmaceutical manufacturing or life sciences product development environment.
 </li>
 <li>
 Familiarity with cGMP guidelines and laboratory safety practices.
 </li>
 <li>
 Passion for hands-on lab work and upskilling to emergent technologies.
 </li>
 <li>
 Ability to solve straightforward problems independently.
 </li>
 <li>
 Good communication skills and ability to work effectively in a cross-functional team environment.
 
 
 </li>
 </ul>
 Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
 
 
 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>

Scientist - Upstream Technologies

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