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ai ml performance test engineer

Capgemini Engineering

<div>
 
 Strong background in machine learning fundamentals, including deep learning,large language models, and recommender systems.
 
 
 Strong background in validation, defect and software development life cycle
 
 
 Strong knowledge on ubuntu / yocto linux
 
 
 Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime.
 
 
 Experience in profiling ML workloads
 
 
 Prior experience in executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime and TensorFlow/PyTorch integrations.
 
 
 Prior experience in validating end-to-end AI pipelines, for e.g. model conversion (e.g., PyTorch &agrave; ONNX), Inference runtimes (e.g, ONNX Runtime, TensorRT, ROCm/HIP), compilers/toolchains (e.g. TVM, Vitis AI, XDNA, XLA), kernel execution, memory transfer and inference results
 
 
 Strong background in python programming.
 
 
 Excellent problem-solving skills and willingness to think outside the box.
 
 
 Experience with production software quality assurance practices, methodologies,
 
 
 and procedures
 
 
 Strong ownership of deliverables, Excellent communication skills and experience working with global teams
 
</div>

AI ML Performance Test Engineer

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>
 Lead the design, development, and implementation of OR/AI/ML models tailored to supply chain subject areas such as demand forecasting and sensing, inventory optimization, transportation and logistics routing, supplier risk prediction, production planning and network optimization.
 </li>
 <li>
 Develop and deploy generative AI models for supply chain use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterate and optimize the solutions.
 </li>
 <li>
 Collaborate with cross-functionally with supply chain, engineering, IT, and business solution implementation team to align technical solutions with business needs.
 </li>
 <li>
 Partners with solution architect engineer to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment
 </li>
 <li>
 Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops.
 </li>
 <li>
 Stay ahead of the curve on related emerging technologies and bring innovative approaches to supply chain optimization
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems
 </li>
 <li>
 Strong expertise in optimization, regression, classification, time series, deep learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, Scala or similar
 </li>
 <li>
 Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.
 </li>
 <li>
 Strong communication skills to engage with technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 </li>
 <li>
 Experience with AI agent solution development
 </li>
 <li>
 Familiarity with ERP enterprise supply chain systems like Oracle, SAP
 
 
 </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>

Senior Data Scientist, Supply Chain

Netcore Cloud

<div>
 
 
 
 Who We Are:
 
 
 
 
 Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.
 
 
 
 
 
 
 Role Summary:
 
 
 
 As a Senior Data Scientist, you&rsquo;ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.
 
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 Model Development and Innovation
 
 :
 
 <ul>
 <li>
 Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation
 </li>
 <li>
 Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.
 </li>
 <li>
 Optimise model performance, scalability, and interpretability for production systems.
 </li>
 </ul>
 
 
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Contribute to the deployment of models into production environments using MLOps best practices.
 </li>
 <li>
 Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.
 </li>
 </ul>
 
 
 Data &amp; Experimentation
 
 
 <ul>
 <li>
 Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.
 </li>
 <li>
 Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.
 </li>
 </ul>
 
 
 Technology and Tools
 
 :
 
 <ul>
 <li>
 Work with large-scale datasets, ensuring data quality and scalability of solutions.
 </li>
 <li>
 Leverage cloud platforms like AWS, GCP for model training and deployment.
 </li>
 <li>
 Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
 </li>
 <li>
 With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.
 </li>
 </ul>
 
 
 Cross-functional Collaboration
 
 
 <ul>
 <li>
 Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are:
 
 
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelors from Tier 1 premier institute in relevant field, or;
 </li>
 <li>
 Master&rsquo;s or PhD in Computer Science, Data Science, Mathematics, or a related field.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 
 4&ndash;6 years
 
 of hands-on experience in machine learning or data science roles.
 </li>
 <li>
 Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
 </li>
 <li>
 Hands-on experience deploying ML models in production at scale.
 </li>
 <li>
 Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of statistical methods, predictive modeling, and algorithm design.
 </li>
 <li>
 Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Excellent communication skills to articulate data-driven insights.
 </li>
 <li>
 A passion for innovation and staying up-to-date with the latest trends in AI/ML.
 </li>
 </ul>
 
 
 
 
 
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
 </li>
 <li>
 Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
 </li>
 <li>
 Competitive compensation and growth opportunities in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 We&rsquo;d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)
 
</div>

Senior Data Scientist

CoffeeBeans

<div>
 
 
 About CoffeeBeans Consulting
 
 
 
 CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery&mdash;from exploration and modeling to GenAI application development and deployment.
 
 
 
 
 
 
 
 
 
 
 
 Role Overvi
 
 
 
 ewAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistant
 
 
 s.This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI application
 
 
 
 
 
 
 
 
 
 s.
 
 
 Key Responsibili
 
 
 
 
 tiesML &amp; Data Sci
 
 
 <ul>
 <li>
 enceOwn and deliver ML model development, tuning, and evaluation for client-facing proje
 </li>
 <li>
 cts.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervis
 </li>
 <li>
 ion.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectati
 </li>
 <li>
 ons.Contribute to experimentation frameworks and model reproducibility best practi
 </li>
 </ul>
 
 
 
 
 
 ces.
 
 GenAI &amp; LLM Applica
 
 
 <ul>
 <li>
 tionsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Ll
 </li>
 <li>
 ama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI sys
 </li>
 <li>
 tems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context provi
 </li>
 <li>
 ders.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app develop
 </li>
 </ul>
 
 
 
 
 
 ment.
 
 Product &amp; Engineering Collabo
 
 
 <ul>
 <li>
 rationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-
 </li>
 <li>
 time).Assist in building APIs and data pipelines needed for productionizing m
 </li>
 <li>
 odels.Contribute to technical documentation, explainability reports, and client presenta
 </li>
 </ul>
 
 
 
 
 
 tions.
 
 Team &amp;
 
 
 <ul>
 <li>
 GrowthMentor junior data scientists and review code/model
 </li>
 <li>
 design.Stay current with advances in ML and GenAI to inform solution design and share knowledge inte
 </li>
 <li>
 rnally.Participate in discovery and solutioning phases with clients alongside tech leads a
 </li>
 </ul>
 
 
 
 
 
 
 
 
 nd PMs.
 
 
 Required Skills &amp; Quali
 
 
 <ul>
 <li>
 ficationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a relat
 </li>
 <li>
 ed field.3&ndash;5 years of hands-on experience in applied data science, including both ML model development and GenAI-based sol
 </li>
 <li>
 utioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGB
 </li>
 <li>
 M, etc.).Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or
 </li>
 <li>
 similar).Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM
 </li>
 <li>
 outputs.Proficiency in SQL and data wrangling tools (pandas
 </li>
 <li>
 , NumPy).Experience working with REST APIs, Git, and cloud environments (
 </li>
 </ul>
 
 
 
 
 
 
 
 
 AWS/GCP).
 
 
 Good-to-
 
 
 <ul>
 <li>
 Have SkillsExperience with deploying models via FastAPI, Docker, or serverless
 </li>
 <li>
 platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring
 </li>
 <li>
 frameworks.Experience with embeddings, vector databases, and similar
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ity search.
 
 
 What You Can Expect a
 
 
 <ul>
 <li>
 t CoffeeBeansWork on real-world AI/ML problems acro
 </li>
 <li>
 ss verticals.Be part of a fast-moving team delivering end-to-end ML &amp;
 </li>
 <li>
 ; GenAI apps.Collaborate with experienced engineers and PMs in a flat and
 </li>
 <li>
 open culture.Opportunities to lead, mentor, and influence te
 </li>
 </ul>
 
 
 
 ch direction.
</div>

Data Scientist

AB InBev GCC India

<div>
 
 Dreaming big is in our DNA. It&rsquo;s who we are as a company. It&rsquo;s our culture. It&rsquo;s our heritage. And more than ever, it&rsquo;s our future. A future where we&rsquo;re always looking forward. Always serving up new ways to meet life&rsquo;s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together &ndash; when we combine your strengths with ours &ndash; is unstoppable. Are you ready to join a team that dreams as big as you do?
 
 
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 Do You Dream Big?
 
 
 
 
 We Need You.
 
 
 
 
 Job Description
 
 
 
 
 Job Title:
 
 
 Data Scientist &ndash; GBS Commercial
 
 
 
 
 Location: Bengaluru
 
 
 
 
 Reporting to: Manager - GBS Commercial
 
 
 
 BUSINESS ENVIRONMENT
 
 
 <ul>
 <li>
 Purpose of the role
 </li>
 <li>
 Use statistical and mathematical techniques to measure the impact of Promotions, Trade Programs, or Activations through Tests. Maintain python programming codes for the model which runs Test vs Control methodology
 </li>
 <li>
 Conduct exploratory studies to identify opportunities to increase ROI for future promotions.
 </li>
 <li>
 Optimize Sales package &ndash; Check spends Enhance, maintain python codes for the model which runs Test vs Control Strategy
 </li>
 <li>
 Design and deploy mathematical models to create Store level target lists to implement optimal ROI promotions in the future.
 </li>
 <li>
 Build recommendation models.
 </li>
 <li>
 Add features on top of the model to create robust algorithm.
 </li>
 <li>
 Communicate analysis results to business stakeholders through intuitive Power BI solutions.
 </li>
 <li>
 Setting framework for analysis based on Business Objective, thorough with Business level presentations.
 </li>
 <li>
 Build new AI &amp; DS Products, Projects and effective Business Presentations and contribute to Business Target Achievements.
 </li>
 <li>
 Key tasks &amp; accountabilities
 </li>
 <li>
 Expertise on Python to prepare &amp; update algorithm.
 </li>
 <li>
 Developing business-friendly presentations, transforming thoughts into key actions for business and showing the model to justify recommendations.
 </li>
 <li>
 Expertise on Power BI to produce dashboards.
 </li>
 <li>
 Understanding of SQL to connect Power BI to Datalake &amp; create automated outputs/Dashboards.
 </li>
 <li>
 Understanding the business problem and translating it into an analytical problem. Ability to solve problem quickly and effectively applying logical thinking and creative mindset.
 </li>
 <li>
 Handling large data sets to connect data points and provide insights that drive business.
 </li>
 <li>
 Be assertive and goal oriented and drive results with minimal support.
 </li>
 <li>
 Skillset to convert unstructured data into structured format which optimizes time spent on data handling.
 </li>
 <li>
 Hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning
 </li>
 <li>
 Product building experience would be a plus.
 </li>
 <li>
 Interact with and present to Senior internal or external stakeholders around project/ service conceptualization and plan of delivery.
 </li>
 <li>
 Ability to work in collaboration with multiple teams within GBS Commercial tower
 </li>
 <li>
 Develop deeper understanding related to different concepts of Category Management. Plan and implement different projects with multiple teams in Category Management.
 </li>
 <li>
 Delivering insights and provocation as per timelines given
 </li>
 <li>
 Following processes and adhering to documentation goal
 </li>
 <li>
 High quality presentations
 </li>
 <li>
 Questions from business stakeholders answered satisfactorily within agreeable time.
 </li>
 <li>
 Coming up with provocation, proposing what if or next level
 </li>
 <li>
 Challenges: Primary challenges include various sources of data, incomplete data which can throw off the analysis. Outliers to be removed and data to be cleaned before analyzing and presenting to stakeholders.
 </li>
 
 3. Qualifications, Experience, Skills
 
 
 </ul>
 
 Level Of Educational Attainment Required
 
 
 
 <ul>
 <li>
 Master Graduate in the field of Business &amp; Marketing, Engineering/Solution or other equivalent degree or equivalent work experience
 </li>
 <li>
 MBA/Engg. in a relevant technical field such as Marketing
 
 </li>
 </ul>
 
 Previous Work Experience Required
 
 
 
 <ul>
 <li>
 2-3 and up years&rsquo; experience handling Data science Projects
 </li>
 <li>
 Prior experience in managing multiple files, data cleaning, and maintaining data in structured formats
 
 </li>
 </ul>
 
 Technical Skills Required
 
 
 
 <ul>
 <li>
 Proficient in Python, Power BI, SQL, VBA, Advanced Excel, MS Office
 </li>
 <li>
 Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python)
 </li>
 <li>
 Proficient in application of AI &amp; ML concepts and optimization techniques to solve end-to-end business problems
 </li>
 <li>
 Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform
 </li>
 <li>
 Good understanding of Statistical and Mathematical concepts
 
 </li>
 </ul>
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 .
</div>

Data Scientist - GBS Commercial

Acunor

<div>
 
 
 Job Title:
 
 Data Scientist - Forecasting &amp; AI Strategy
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 8-12 years
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 with expertise in
 
 forecasting, Python, and Databricks
 
 to drive advanced analytics initiatives. This role focuses on
 
 forecasting and elasticity models
 
 to strengthen pricing, demand planning, and business optimization strategies. You will play a critical role in designing, deploying, and scaling machine learning solutions on
 
 Azure and Databricks
 
 , ensuring real-world impact and adoption.
 
 
 
 
 
 
 Key Tasks and Accountabilities
 
 
 <ul>
 <li>
 Translate complex business challenges into analytical problems and deliver actionable insights.
 </li>
 <li>
 Own the
 
 end-to-end AI/ML lifecycle
 
 &ndash; data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
 </li>
 <li>
 Build and deploy
 
 forecasting models (time-series, regression, ML-based, deep learning)
 
 for demand planning, promotions, and pricing optimization.
 </li>
 <li>
 Develop reusable and modular Python code following
 
 OOP best practices
 
 .
 </li>
 <li>
 Architect and optimize workflows on
 
 Azure Databricks
 
 , ensuring scalability and automation with
 
 Airflow/MLFlow
 
 .
 </li>
 <li>
 Apply
 
 MLOps practices
 
 , including containerization (Docker) and CI/CD pipelines (GitHub).
 </li>
 <li>
 Collaborate with cross-functional teams (data engineering, product, commercial, finance) to deliver production-ready forecasting solutions.
 </li>
 <li>
 Mentor and guide mid-level/junior data scientists, fostering a culture of technical excellence.
 </li>
 <li>
 Clearly communicate technical findings and business impact to both
 
 technical and non-technical stakeholders
 
 , including leadership teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 B.Tech/BE/Masters in Computer Science, Data Science, AI/ML, Statistics, or related field.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 
 8&ndash;12 years of relevant experience
 
 in data science and advanced analytics.
 </li>
 <li>
 Proven track record in
 
 forecasting models
 
 (ARIMA, Prophet, regression, ML ensembles, deep learning for time-series).
 </li>
 <li>
 Strong expertise in
 
 Python (with OOP principles)
 
 and
 
 PySpark
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Azure cloud, Databricks, MLFlow
 
 , and workflow orchestration (Airflow).
 </li>
 <li>
 Practical experience with
 
 MLOps and containerization tools
 
 (Docker/Kubernetes).
 </li>
 <li>
 Strong background in deploying
 
 end-to-end ML solutions into production
 
 .
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Forecasting &amp; Predictive Modeling (Time-series, ML-based, Deep Learning)
 </li>
 <li>
 Python, PySpark, Databricks (advanced proficiency)
 </li>
 <li>
 Azure Cloud ML Stack (MLFlow, Airflow, CI/CD, Git)
 </li>
 <li>
 Strong problem-solving and communication skills
 </li>
 </ul>
 
 
 
 
 
 Good to Have:
 
 
 <ul>
 <li>
 Exposure to
 
 Pricing and Revenue Management domains
 
 </li>
 <li>
 Product-building experience
 </li>
 <li>
 Experience working in global, cross-functional teams
 </li>
 </ul>
 
 
</div>

Infosys

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced and motivated AI Program Manager to lead and coordinate multiple AI initiatives across the organization. This role will be responsible for driving progress across several AI tracks, curating high-quality content and demos, enabling knowledge management, and ensuring alignment with business objectives. The ideal candidate will combine a strong foundation in AI with excellent program management skills and the ability to collaborate effectively with senior stakeholders.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Program Management:
 
 Plan, track, and manage execution of multiple AI initiatives; define milestones, deliverables, and success criteria; monitor risks and drive resolutions.
 </li>
 <li>
 
 AI Content &amp; Demo Curation:
 
 Curate and maintain a library of AI solutions, demos, and assets; partner with technical teams to create compelling demos; support creation of knowledge artifacts.
 </li>
 <li>
 
 Knowledge Management &amp; Enablement:
 
 Establish and maintain AI knowledge repositories; ensure collateral is updated; drive knowledge-sharing sessions and workshops.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Work with senior leadership and cross-functional teams; facilitate governance reviews; act as a bridge between technical and business teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Business, or related field (Master&rsquo;s preferred). Certifications in Program Management (PMP, PRINCE2, Agile) are desirable.
 </li>
 <li>
 Experience: 12&ndash;16 years overall experience with at least 4&ndash;6 years in program/project management. Strong exposure to AI/ML, Data Science, or emerging tech programs. Experience managing cross-functional initiatives with global teams.
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Technical/AI Skills: Solid foundation in AI concepts (ML, NLP, Generative AI, LLMs, model lifecycle). Familiarity with AI tools, platforms, and cloud ecosystems (AWS, Azure, GCP). Ability to evaluate AI use cases and articulate business value.
 </li>
 <li>
 Core Competencies: Strong program and portfolio management skills; excellent stakeholder management and executive communication; high degree of collaboration, leadership, and problem-solving; ability to work in fast-paced, ambiguous environments.
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 
 
 
 <ul>
 <li>
 Key Attributes: Strategic thinker with an execution mindset. Strong storyteller with the ability to simplify complex AI concepts. Passionate about AI adoption and organizational transformation. Self-starter with a high level of ownership and accountability.
 </li>
 </ul>
 
 
 
 
 Job Title: AI Program Manager
 
 
 Location: Bangalore or Pune
 
 
 Reporting To: Head of AI &ndash; Financial Services Unit
 
 
 Employment Type: Full-time
 
 
 We are committed to diversity and inclusivity.
 
</div>

Program Manager

Explore 279+ Ai ml performance test engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

279 ai ml performance test engineer jobs IN Mangaluru

AI ML Performance Test Engineer

Senior Data Scientist, Supply Chain

Senior Data Scientist

Data Scientist

Data Scientist - GBS Commercial

Data Scientist

Program Manager