6900 Machine Learning Jobs - Page 8

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PeopleSoft PeopleTools Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in PeopleSoft PeopleTools- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in PeopleSoft PeopleTools- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

• Data engineering - Source data from internal system sources and external (public/private) sources, using data pipelines or automations • Data science & risk modelling - Develop risk models / algorithm for calculating credit scoring of clients, credit loss, simulating stress scenarios and LLM models to aide credit risk assessment • Risk Reporting & Visualization - Develop risk reports and dashboards for credit risk officers to analyse and monitor risks in their portfolio • Data governance - Organise and document data attributes, process and procedures • Infrastructure management - Collaborate with internal technology teams to analyse impact on data due to infrastructure changes • To understanding trade Life Cycle – work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Bachelor’s degree in computer science, Finance, Mathematics, Statistics, or related field 3-5 years of experience in data engineering, data science, or similar technical role Proficiency in SQL and database management systems Strong programming skills in Python, R, or similar languages for statistical analysis and machine learning Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) Knowledge of statistical modeling, econometrics, and risk management methodologies Experience with ETL/ELT tools and data pipeline frameworks Familiarity with Large Language Models and Natural Language Processing techniques Experience with data visualization tools (Tableau, Power BI, or similar) Excellent English verbal and written communication Key Responsibilities: Data Engineering: Design, build, and maintain robust data pipelines to source data from internal system sources and external public/private data providers Develop automated data ingestion processes to ensure timely and accurate data flow Implement data quality controls and monitoring systems to maintain data integrity Data Science & Risk Modelling: Develop and maintain sophisticated risk models and algorithms for calculating client credit scores Build predictive models for credit loss estimation and expected credit loss calculations Design and implement stress testing scenarios to evaluate portfolio resilience under adverse conditions Create and deploy Large Language Model (LLM) solutions to enhance credit risk assessment processes Risk Reporting & Visualization: Develop comprehensive risk reports and interactive dashboards for credit risk officers Create visualization tools that enable effective portfolio risk analysis and monitoring Data governance: Organise and document data attributes, process and procedures Infrastructure management: Collaborate with internal technology teams to analyse impact on data due to infrastructure changes Trade Life Cycle: Work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Key Relationships Global Credit team, risk technology, data scientist, Other internal departments (accounts, treasury, trade finance, operations etc) Global Credit team, Head of Operation Risk Management, Other internal departments (accounts, treasury, trade finance, operations etc)

Role Overview As a Lead Data Scientist, youll optimize algorithms, lead a team, and develop cutting-edge solutions to improve our platforms performance. Collaborate across teams and stay at the forefront of AdTech advancements to drive measurable impact. Key Responsibilities Optimize and develop algorithms to enhance our DMP for OOH advertising. Lead a team of data scientists, ensuring project success and mentorship. Collaborate with cross-functional teams to identify and address challenges. Present data insights to technical and non-technical stakeholders. Ensure data quality, integrity, and compliance with privacy regulations. Requirements Masters/PhD in Data Science, Computer Science, or related field. 5+ years in data science with a focus on algorithm development. Expertise in machine learning, statistical modeling, and Python/Java. Proven leadership and excellent problem-solving skills. Strong communication skills; AdTech/OOH experience is a plus.

Job Description We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Qualifications Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence profe

Senior analyst with ML model experience for Regions Bank Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Its fun to work in a company where people truly BELIEVE in what theyre doing! Were committed to bringing passion and customer focus to the business. Job Description AI Quality Assurance Lead (Evaluation & Testing) This role requires working from our local Hyderabad office 2-3x a week. Location: Hyderabad, Telangana, India ABOUT THE TEAM The Generative AI Quality & Safety team owns ABC Fitness s evaluation frameworks, testing pipelines, and compliance tooling for AI-driven features. We partner with product, engineering, and legal teams to ensure every LLM interaction meets rigorous standards for accuracy, safety, and performance. As our AI Quality Assurance Lead, you ll architect hybrid (automated + human) testing systems, define GenAI quality KPIs, and embed Responsible AI principles across our fitness-tech platform. At ABC Fitness, we love entrepreneurs because we are entrepreneurs. We know how much grit it takes to start your own business and grow it into something that lasts. We roll our sleeves up, we act fast, and we learn together. WHAT YOU LL DO Design and deploy evaluation pipelines for generative AI systems using tools like OpenAI Evals, Promptfoo, and custom test harnesses. Develop hallucination detection workflows and bias-analysis frameworks for LLM outputs across 10+ languages. Partner with AI researchers to translate model capabilities into testable requirements for product teams. Implement CI/CD-integrated regression testing for AI microservices on AWS/Azure, monitoring model drift and performance degradation. Lead bug triage sessions, prioritizing issues impacting user trust, legal compliance, or revenue. Document QA protocols, failure modes, and root-cause analyses in our internal knowledge base. WHAT YOU LL NEED 7+ years in QA/testing roles, with 3+ years focused on AI/ML systems (LLMs, recommendation engines, or conversational AI). Hands-on experience with GenAI evaluation tools (LangSmith, Weights & Biases) and statistical analysis (Python, SQL). Proficiency in cloud platforms (AWS SageMaker, Azure ML) and containerized testing environments (Docker, Kubernetes). Deep understanding of Responsible AI principles fairness, transparency, privacy and adversarial testing methodologies. Ability to mentor junior engineers and communicate technical risks to non-technical stakeholders. Certifications like AWS Certified Machine Learning Specialty or Microsoft AI Engineer are a plus. WHAT S IN IT FOR YOU: Purpose led company with a Values focused culture - Best Life, One Team, Growth Mindset Time Off - competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 11 Holidays plus 4 Days of Disconnect - once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling Life Insurance and Personal Accident Insurance Best Life Perk - we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement Premium Calm App - enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 Support for working women with financial aid towards cr che facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers. We re committed to diversity and passion, and encourage you to apply, even if you don t demonstrate all the listed skillsets! ABC S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION: ABC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are intentional about creating an environment where employees, our clients and other stakeholders feel valued and inspired to reach their full potential and make authentic connections. We foster a workplace culture that embraces each person s diversity, including the extent to which they are similar or different. ABC leaders believe that an equitable and inclusive culture is not only the right thing to do, it is a business imperative. Read more about our commitment to diversity, equality, belonging and inclusion at abcfitness.com ABOUT ABC: ABC Fitness (abcfitness.com) is the premier provider of software and related services for the fitness industry and has built a reputation for excellence in support for clubs and their members. ABC is the trusted provider to boost performance and create a total fitness experience for over 41 million members of clubs of all sizes whether a multi-location chain, franchise or an independent gym. Founded in 1981, ABC helps over 31,000 gyms and health clubs globally perform better and more profitably offering a comprehensive SaaS club management solution that enables club operators to achieve optimal performance. ABC Fitness is a Thoma Bravo portfolio company, a private equity firm focused on investing in software and technology companies (thomabravo.com). #LI-HYBRID If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

Job Summary Bluphlux is seeking a talented Data Scientist to join our innovative team. As a Data Scientist, you will play a crucial role in leveraging data to enhance our AI-driven recruitment solutions. You will work closely with our development team to refine our patented algorithms and ensure our clients receive the most accurate and efficient recruitment services. Key Responsibilities Develop and implement data models and algorithms to improve recruitment processes. Analyze large datasets to extract actionable insights and improve decision-making. Collaborate with cross-functional teams to integrate data-driven solutions into our recruitment platform. Continuously evaluate and improve the performance of our AI algorithms. Stay up-to-date with the latest advancements in data science and AI to ensure our solutions remain cutting-edge. Required Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist or similar role. Strong programming skills in Python, R, or similar languages. Experience with machine learning frameworks such as TensorFlow or PyTorch. Excellent analytical and problem-solving skills. Preferred Skills Experience in the recruitment or HR tech industry. Familiarity with natural language processing (NLP) techniques. Knowledge of cloud platforms such as AWS or Azure.

Why Join Us At Mahindra Finance, we are all about recognizing the potential in people and empowering them in every way possible. And while we re doing so for the whole of the nation, there s no way we could forget our very own people - our employees. Which is why, we make every possible effort to create and maintain a milieu which is highly conducive for their growth. Our people are never short of challenges and cross-functional opportunities to help them expand their horizons and learn in a holistic way. In fact, we always encourage entrepreneurial thinking amongst our people to create more leaders at every level. Lead Data Science VFD (Vehicle Finance Division) at Mahindra Finance The Lead - Data Science (similar to an Engagement Manager) is the Project leader who will lead the areas of communicating with the clients and advising them , Identifying and phrasing problem statement , identifying data needed to solve the problem , designing mechanism to solve the data problem and delivering the working solution . He or she will be the key person interacting with the client teams and vendors for the project and will also direct the analysts working on the projects. He will be reporting to the Head of Data Science team and seek timely directives and help from him for all parts of the project What You ll Do Dealing with the Operational teams from client side. This may include interactions with the Operations, Sales, Marketing and IT heads from client side. It includes following key aspects: Communicating and understanding clearly what are the business-data challenge. Culturally sensitizing the client side for being open to sharing and using data for solving problems and letting machines take certain decisions using AI. Knowing the art of identifying what data needs to be extracted/ used for solving a particular challenge. Designing a consumption layer for the client to consume the final delivered solution. Explaining the clients what the solution is doing behind the curtains in a very simplified manner. Dealing with Data Science Vendors: Summarizing the business-data challenge to them and giving clear deliverables. Timely interfacing with the vendors in resolving their asks and queries. Testing and verifying their deliverables and refining them. Maintaining a healthy relationship with key vendors Managing internal project team and Science behind projects: Managing analysts on the project - work distribution and timeline planning for the projects, training and guiding the analysts. Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark etc) to be used for relevant projects. Choice of Data and Machine learning algorithms to solve a particular problem. Creating Data Strategy roadmaps for businesses in the long term. Creating post project delivery way forward for ensuring sustainability of data science solutions delivered. Being aware of the world-class and most recent advances in data science areas and having ready references to the best methods in the data science fraternity. Displaying thought leadership on social media on all things data science Proactively identifying applications and ideas of using data science across Mahindra Finance Helping other teams at MMFSL for consultations on data expertise What We Value High degree of Emotional Intelligence in managing relationships with client side business leaders. Most of the data challenges will involve dealing with department heads from Marketing, IT, FInance etc and would need convincing the client side of what data needs to be shared and how it will be used. There is a need to have a skill of selling the use of Machine Learning in conjunction with humans. The person needs to have a personality, composure and body language equivalent to that of a consultant. Knowledge of key Data Science tools like: Python based machine learning, Cloud based ML like Azure ML. Understanding of what algorithms need to be used to solve different classes of data problems. Consulting skills like: understanding business challenges, framing problem statements, delivering concise reports/ decks for CXO level consumption. Most important: Work experience of leading and delivering Data Science projects to clients. The work may include problems in :Financial analytics, Lending algorithms, MArketing Analytics, Semantic analysis, Social media Analytics, Operational problems like inventory and supply chain optimization, Revenue/pricing/product analytics etc

Why Join Us At Mahindra Group, we provide an exciting and inclusive work environment that values collaboration, agility, and boldness. At Mahindra Finance, we are all about recognizing the potential in people and empowering them in every way possible. We make every possible effort to create and maintain a milieu which is highly conducive for their growth. Our people are never short of challenges and cross-functional opportunities to help them expand their horizons and learn in a holistic way. At Mahindra, Together We Rise! Data & Analytics at Mahindra Finance The Lead Emerging Business Analytics will play a crucial role in maintaining the company s competitive edge in the NBFC space. Drive the operational/new initiatives for these businesses and will have the responsibilities of the key business KPIs. This role contributes to the company s overall business by driving innovation, improving decision-making processes, and enhancing financial products and services through the application of data-based insights and ML. What You ll Do Collaborate with stakeholders across business, technology, and analytics teams to capture requirements and translate them into actionable tasks and project scopes. Conduct detailed exploratory analysis to generate insights that can be integrated into our OneApp for hyper-personalization. Extract customer insights from both internal and external data sources to inform business actions that drive revenue growth. Utilize data generated by our digital assets, such as our app and website, to build analytical solutions that enhance customer experience and address user drop-offs. Design and execute large-scale A/B experiments to validate improvements in key business KPIs and develop a long-term roadmap for the features being tested. Work in close collaboration with the Machine Learning/AI team to integrate their model outputs into our digital app and website and distribute the same to offline channels such as branches and call centres. Understanding Complex Business Processes: Need to understand and map out complex business processes. This can be challenging, given the role demands working with multiple departments and functions. Bridging the Gap between IT and Business: Act as a bridge between the IT department, business units, and analytics team. This can be challenging as it requires a deep understanding of both technical and business aspects. Keeping Up with Technological Advances: The field of analytics is constantly evolving with new technologies and methodologies. Keeping up with these changes and learning new tools and techniques are important. Stakeholder Management: Managing expectations and maintaining clear communication with various stakeholders can be difficult. Stakeholders may have different priorities and it can be a challenge to balance these and keep everyone informed. Data Quality and Management: Ensuring the quality and integrity of data used for analysis can be a challenge. Poor quality data can lead to inaccurate analysis and decision-making. Change Management: Implementing new systems or processes can be met with resistance from employees. Managing this change and ensuring a smooth transition is important. What We Value Working knowledge of Data Science toolbox like: Python, SQL, Jupyter Notebook, Azure/AWS cloud and/or experience with machine learning is a plus Deep understanding of HDIEP Framework - Hypothesis, Data Sourcing, EDA, Insights and Presentation. High degree of Emotional Intelligence in managing relationships with internal clients /stakeholders. Act as the translator between analytics, IT, and Business teams to effectively deliver business outcomes

Snapshot The role of the Technical Program Management Team is to organise and enable our research teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimise research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams, bringing clarity to ambiguity and providing stability during change. Our program management skills help us tackle even the most complicated projects. By working hand-in-hand with researchers and engineers, were constantly deepening our technical skills and making sure our work is always moving us closer to our mission. About Us Artificial Intelligence could be one of humanity s most useful inventions. At Google DeepMind, we re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Technical Program Manager working on novel model architectures, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives. You will work with researchers, engineers, product managers, and other stakeholders to define project scope, goals, timelines, and resource requirements. Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans etc Scope and drive complex and ambitious technical programs cutting across multiple teams Work with your team to organise and optimise research into clear goals and objectives Effectively translate technical information to non-technical audiences, ensuring clarity and alignment Be the trusted owner of the status of your projects, anticipate and propose solutions to issues and risks Troubleshoot and resolve technical challenges, making sound decisions that balance feasibility and project timelines. Critically evaluate technical proposals, understanding the trade-offs between different approaches, and weigh in on the viability of solutions Demonstrate a curious mindset and a commitment to learning and understanding your team s technical field, and your broader understanding of AGI, in order to inform how you enable people, teams and optimise research About You In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: You are comfortable in highly technical spaces, thrive in collaborative environments, bridging the gap between researchers, engineers and stakeholders, ensuring everyone is working towards a shared vision. 5 years of experience in project/program management, ideally in ML/AI environment Comfortable to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business needs. Youre a natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions and drive process improvements. Have the ability to quickly grasp technical concepts, contribute to relevant discussions, and translate them into actionable program strategies Strong understanding of ML/AI principles and concepts, and passionate to continuously acquire knowledge to enhance your domain understanding In addition, the following would be an advantage: BS degree in Computer Science, Engineering, or related technical field Knowledge of Research Lifecycle Experience working across multiple geographies and time zones At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Introduction: Are you looking to make a significant impact in a thriving software companyAt Poppulo, we are shaping the future of communications and workplace technology. We recognize the challenges of effectively reaching every employee, managing hybrid office spaces, and enhancing customer experiences. Our mission is to simplify these processes and create harmony for our clients. We operate at enterprise scale, with our omnichannel communications and workplace experience platform trusted by over 6,000 organizations, reaching more than 35 million employees and delivering content to over 500,000 digital signs. We believe there s no perfect candidate; everyone is evolving and acquiring new skills. We encourage you to apply even if you don t meet all the requirements, as we value diverse perspectives to foster growth The Opportunity: As a SDE 2, Full Stack Machine Learning Engineer , you will lead the development of intelligent, scalable, and user-focused applications. This role combines full-stack engineering with advanced AI/ML capabilities, including Agentic AI and LLMOps , to create innovative, production-ready solutions that transform ideas into impactful products leveraging modern AI. Key Responsibilities Build End-to-End AI-Powered Products : Design and develop full-stack applications that integrate ML models into seamless user experiences across web and mobile platforms. Develop Scalable APIs and Services : Create robust backend services and APIs to serve ML models, manage data pipelines, and support real-time inference. Craft Intuitive Frontends : Build responsive, user-friendly interfaces using modern frameworks to visualize and interact with ML outputs. Operationalize ML Solutions : Implement the full ML lifecycle from data engineering and model development to deployment, monitoring, and MLOps on cloud platforms. Prototype Rapidly : Create high-cadence proof-of-concepts to validate ideas and align with product strategy. Optimize Performance : Continuously enhance system and model performance for speed, scalability, and cost-efficiency. LLMOps Integration : Design and manage workflows for deploying, monitoring, and updating large language models (LLMs) in production environments. Collaborate Cross-Functionally : Work closely with product managers, designers, and other engineers to ensure cohesive and impactful product delivery. Stay Ahead of the Curve : Keep up with the latest in AI/ML, full-stack technologies, LLMOps , and Agentic AI to guide architectural decisions. Technical Skills / Competencies ML & GenAI Expertise : Strong background in ML (e.g., classification, computer vision) and generative AI (LLMs, RAG, prompt engineering, vector databases). Agentic AI Systems : Experience designing and deploying autonomous AI agents capable of reasoning, planning, and interacting with complex environments. LLMOps : Proficiency in managing the lifecycle of large language models, including fine-tuning, deployment, monitoring, and continuous improvement. Frontend Development : Proficiency in HTML, CSS, JavaScript, and frameworks like React, Vue, or Angular. Backend Development : Experience with backend frameworks such as Node.js, Django, Flask, or FastAPI; strong understanding of RESTful and GraphQL APIs. Database Management : Skilled in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases. Cloud & DevOps : Hands-on experience with AWS, GCP, or Azure; containerization (Docker, Kubernetes); CI/CD pipelines. MLOps : Experience deploying and managing ML workflows in production environments. System Design : Ability to architect scalable, secure, and maintainable systems. Problem Solving : Strong analytical skills to break down complex challenges into practical, innovative solutions. Team Leadership : Experience mentoring and guiding engineering teams. Education & Experience Master s or PhD in Computer Science, AI, Statistics, or a related field. 3+ years of experience building and deploying full-stack applications and ML systems in production. Proven track record of delivering complex, distributed software solutions across the full development lifecycle. Who We Are We are a values-driven organization that empowers our employees to be their authentic selves at work and make a tangible impact on our products, clients, and culture. Our dynamic environment is filled with motivated, fun, and flexible individuals who thrive on challenges and responsibilities. Join us and contribute to a company that s on the move. We embody the Poppulo values every day, which are essential to our mission: Bring Your Best Self : We show up authentically, are self-aware, and always strive to improve. See it. Own it. Solve it. : We proactively innovate and solve for our customers and each other, setting high standards for our work and fostering a culture of learning. Together We re Better : We value and celebrate our diversity, learn from others, and focus on building trust as a team. Recognized as a Great Place to Work from 2015 to 2021, we are a fast-growing global technology company with offices in Ireland, the US, and the UK. Poppulo is an equal opportunity employer. We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Introduction: Are you looking to make a significant impact in a thriving software companyAt Poppulo, we are shaping the future of communications and workplace technology. We recognize the challenges of effectively reaching every employee, managing hybrid office spaces, and enhancing customer experiences. Our mission is to simplify these processes and create harmony for our clients. We operate at enterprise scale, with our omnichannel communications and workplace experience platform trusted by over 6,000 organizations, reaching more than 35 million employees and delivering content to over 500,000 digital signs. We believe there s no perfect candidate; everyone is evolving and acquiring new skills. We encourage you to apply even if you don t meet all the requirements, as we value diverse perspectives to foster growth The Opportunity: As a Senior Full Stack Engineer with Machine Learning , you will lead the development of intelligent, scalable, and user-focused applications. This role combines full-stack engineering with advanced AI/ML capabilities, including Agentic AI and LLMOps , to create innovative, production-ready solutions that transform ideas into impactful products leveraging modern AI. Key Responsibilities Build End-to-End AI-Powered Products : Design and develop full-stack applications that integrate ML models into seamless user experiences across web and mobile platforms. Develop Scalable APIs and Services : Create robust backend services and APIs to serve ML models, manage data pipelines, and support real-time inference. Craft Intuitive Frontends : Build responsive, user-friendly interfaces using modern frameworks to visualize and interact with ML outputs. Operationalize ML Solutions : Implement the full ML lifecycle from data engineering and model development to deployment, monitoring, and MLOps on cloud platforms. Prototype Rapidly : Create high-cadence proof-of-concepts to validate ideas and align with product strategy. Optimize Performance : Continuously enhance system and model performance for speed, scalability, and cost-efficiency. LLMOps Integration : Design and manage workflows for deploying, monitoring, and updating large language models (LLMs) in production environments. Collaborate Cross-Functionally : Work closely with product managers, designers, and other engineers to ensure cohesive and impactful product delivery. Stay Ahead of the Curve : Keep up with the latest in AI/ML, full-stack technologies, LLMOps , and Agentic AI to guide architectural decisions. Technical Skills / Competencies ML & GenAI Expertise : Strong background in ML (e.g., classification, computer vision) and generative AI (LLMs, RAG, prompt engineering, vector databases). Agentic AI Systems : Experience designing and deploying autonomous AI agents capable of reasoning, planning, and interacting with complex environments. LLMOps : Proficiency in managing the lifecycle of large language models, including fine-tuning, deployment, monitoring, and continuous improvement. Frontend Development : Proficiency in HTML, CSS, JavaScript, and frameworks like React, Vue, or Angular. Backend Development : Experience with backend frameworks such as Node.js, Django, Flask, or FastAPI; strong understanding of RESTful and GraphQL APIs. Database Management : Skilled in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases. Cloud & DevOps : Hands-on experience with AWS, GCP, or Azure; containerization (Docker, Kubernetes); CI/CD pipelines. MLOps : Experience deploying and managing ML workflows in production environments. System Design : Ability to architect scalable, secure, and maintainable systems. Problem Solving : Strong analytical skills to break down complex challenges into practical, innovative solutions. Team Leadership : Experience mentoring and guiding engineering teams. Education & Experience Master s or PhD in Computer Science, AI, Statistics, or a related field. 6+ years of experience building and deploying full-stack applications and ML systems in production. Proven track record of delivering complex, distributed software solutions across the full development lifecycle. Who We Are We are a values-driven organization that empowers our employees to be their authentic selves at work and make a tangible impact on our products, clients, and culture. Our dynamic environment is filled with motivated, fun, and flexible individuals who thrive on challenges and responsibilities. Join us and contribute to a company that s on the move. We embody the Poppulo values every day, which are essential to our mission: Bring Your Best Self : We show up authentically, are self-aware, and always strive to improve. See it. Own it. Solve it. : We proactively innovate and solve for our customers and each other, setting high standards for our work and fostering a culture of learning. Together We re Better : We value and celebrate our diversity, learn from others, and focus on building trust as a team. Recognized as a Great Place to Work from 2015 to 2021, we are a fast-growing global technology company with offices in Ireland, the US, and the UK. Poppulo is an equal opportunity employer. We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Thank you for considering the Software Engineer position at Reveal Health Tech. We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions. About the Applied AI Lab The Applied AI Lab is an internal R&D team at Reveal dedicated to identifying high-impact problems in healthcare, life sciences, and adjacent verticals and transforming those insights into repeatable, IP-driven AI solutions. We operate as a nimble product studio within the company: researching emerging technologies, rapidly prototyping AI and ML-powered tools, and building foundational infrastructure to support long-term product plays. Our output ranges from sandbox-ready MVPs to reusable components and SaaS-aligned platforms. Our team is multi-disciplinary engineering, design, research, and business and we work closely with client-facing and go-to-market teams to validate our ideas in the real world. About the Role Were seeking a Frontend Software Engineer who thrives in cross-functional teams and takes pride in translating elegant product designs into high-quality, intuitive user experiences. In this role, youll work closely with product designers, backend engineers, and machine learning engineers to build dynamic user interfaces that demonstrate and deliver the intelligence behind our AI tools. You ll be hands-on in building demo-ready interfaces, UX prototypes, and reusable components that shape how users experience our lab s innovation. Build responsive, interactive web applications that showcase lab prototypes and products Translate Figma designs into scalable frontend implementations with attention to detail and UX Collaborate with pro

Python Developer Location: Bengaluru, Karnataka, India Experience Level: 3-5 Years Employment Type: Full-Time Role Overview We are seeking a skilled Python Developer with a strong background in data manipulation and analysis using NumPy and Pandas, coupled with proficiency in SQL. The ideal candidate will have experience in building and optimizing data pipelines, ensuring efficient data processing and integration. Key Responsibilities Develop and maintain robust data pipelines and ETL processes using Python, NumPy, and Pandas. Write efficient SQL queries for data extraction, transformation, and loading. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data validation and quality checks to ensure data integrity. Optimize existing codebases for performance and scalability. Document processes and maintain clear records of data workflows. Required Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 2-5 years of professional experience in Python development. Proficiency in NumPy and Pandas for data manipulation and analysis. Strong command of SQL and experience with relational databases like MySQL, PostgreSQL, or SQL Server. Familiarity with version control systems, particularly Git. Experience with data visualization tools and libraries is a plus. Preferred Skills Experience with data visualization libraries such as Matplotlib or Seaborn. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of big data tools and frameworks like Spark or Hadoop. Understanding of machine learning concepts and libraries. Why Join Enterprise Minds Enterprise Minds is a forward-thinking technology consulting firm dedicated to delivering next-generation solutions. By joining our team, youll work on impactful projects, collaborate with industry experts, and contribute to innovative solutions that drive business transformation.

Job Description Bachelors or master s degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals. Demonstra

Senior analyst with ML model experience for Regions Bank Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Data Scientist, Quantitative Investment Firm (Gurgaon, India) Amethyst Partners Data Scientist, Quantitative Investment Firm (Gurgaon, India) Our client, an established Investment Management Firm, is looking for a Data Scientist to join their fast-growing team in India. This position is based in Gurgaon, India. Key Responsibilities: Explore and learn about a wide range of data sets that are used to develop signals for systematic quantitative strategies Develop a framework to automatically download and monitor hundreds of data sources that are vital to our trading and research Create data visualizations to gain insight on large data sets, such as order-by-order tick data, present findings and results Research and implement machine learning techniques to identify patterns in large data sets and create new derived variables Key Requirements A degree in a technical discipline (computer science, mathematics, statistics, physics, etc.) Experience with statistical analysis and managing of large data sets Knowledge of Linux, Bash, Python, and SQL Database Quick learner, with the ability to work independently and take projects to completion

We are seeking a highly skilled Machine Learning Lead to drive the development and deployment of advanced machine learning solutions across our products and platforms. This role demands a balance of technical excellence, project leadership, and a deep understanding of business goals. You will lead a team of ML engineers and data scientists, collaborating cross-functionally with product, engineering, and business stakeholders to deliver impactful AI-driven outcomes. Key Responsibilities: Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring. Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization. Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments. Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning. Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning). Build RAG & Prompt Engineering Pipelines: Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS. Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions. Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Must-Have: Bachelor s or Master s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus). 8+ years of hands-on experience in machine learning, with at least 1-2 years in a leadership or mentorship role. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc. Strong understanding of statistics, optimization, and model evaluation techniques. Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow. Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar. Proven track record of deploying ML models into production at scale. Excellent communication and leadership skills. Nice-to-Have: Background in domain-specific ML (e.g., healthcare, fintech, manufacturing). Familiarity with data engineering tools like Apache Spark, Airflow. Prior experience in startup or fast-paced environments. Skills to Have : Artificial Intelligence, Natural Language Processing, machine learning, Deep Learning, Scikit-Learn, Python, Pytorch, Tensorflow, data science, Huggingface, Transformers, Langchain, Crew AI, Aws Cloud, Gcp Cloud, Azure Cloud.

Senior Data Scientist Do you like working in collaborative teams and solving technical problems Are you a Senior Data Scientist looking for a new challenge Join our innovative Engineering Team! Our Industrial and Energy Technology (IET) operates across 120 countries, serving the entire energy value chain and the industrial sector. We hold an extensive portfolio of rotating equipment, process flow, transmission technology and lifecycle services. Our Engineering Transformation team works to improve the quality of our Engineering processes. Partner with the best As a Senior Data Scientist, you will collaborate within a data science or cross-functional team alongside partners at Baker Hughes. Key focus areas include Automatic Defect Recognition (ADR) and Remote Monitoring & Diagnostics (RM&D) in Non-Destructive Testing (NDT) industrial sectors. You will lead customer engagements and develop analytics aligned with business objectives to address specific needs and opportunities. As a Senior Data Scientist, you will be responsible for: Engaging with stakeholders to define analytical goals. Designing and implementing ML/computer vision models for industrial use cases. Developing reusable components for scalable solutions. Building defect detection models for visual, ultrasound, and CT/X-ray images. Using TensorFlow/PyTorch for image classification, detection, and segmentation. Applying transfer learning to enhance model performance. Building and deploying ML pipelines using Flask, FastAPI, Streamlit, Docker, etc. Using time series and predictive maintenance to forecast equipment failures. Deploying solutions on edge or cloud platforms. Documenting results in technical and validation reports. Fuel your passion To be successful in this role, you will: Have a Bachelors, Master s, or PhD in Computer Science or a STEM field, with 3+ years of experience in developing computer vision solutions for industrial applications. Have at least 4 years of hands-on experience with machine learning and computer vision algorithms for tasks such as object detection, recognition, tracking, and segmentation. Have proficiency in deep learning and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, and OpenCV. Have good knowledge of Convolutional Networks and Deep Learning algorithms Have solid programming skills with Python and/or non-scripting languages Have experience in data cleansing, data quality assessment, and applying analytics on industrial datasets Have practical knowledge of time series analysis and predictive maintenance for forecasting equipment health and optimising maintenance. Have good communication skills to collaborate with stakeholders and explain technical concepts to non-technical audiences. Have experience with Docker containers & cloud deployment is a plus Have prior exposure to NDT inspection data (e.g., CT/X-ray images) is a plus. Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionised energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritise rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

Engineer - MLOps Looking for an ambitious, passionate and creative-minded Engineer MLOps, to support the development of MLOps, driving and enabling automated machine learning model deployments and managing the full lifecycle of our ML projects. The opportunity To play a key supporting role in shaping the overall MLOps strategy & capabilities. Your key responsibilities Reporting to the Lead Engineer - MLOps you will be responsible for building the foundation of our MLOps capabilities, working closely with Data Scientists, Data Engineers and multiple Technology Service departments to manage the end-to-end ML lifecycle including automation of machine learning workflows, code deployments, testing, and data validation processes. The candidate should be well-versed in using tools like Jenkins, GitLab CI, Azure DevOps, or equivalent, and should be able to integrate these tools with machine learning platforms and data repositories. o Design, implement, and manage CI/CD pipelines tailored for machine learning workflows. o Ensure that machine learning models are properly versioned and deployed into production, staging, or testing environments automatically. o Collaborate with data scientists and software engineers to optimize the automation process for training, validating, and deploying machine learning models. Innoventes Technologies India Pvt. Ltd Beginest Harbor 4 , 464, Krishna Temple Road, Indira Nagar 1st Stage, Bangalore 560038 www.innoventestech.com | +91 80 6862 8915 o Continuously monitor the performance and reliability of CI/CD pipelines and make adjustments as necessary. o Set up environments and fully implement scalable machine learning operations. o Continuously monitor, optimize, debug and automate MLOps pipelines for increased quality and efficiency including pipeline level, module level, and system-level inspection. o Develop & maintain the infrastructure & tools that facilitate the deployment and monitoring of our ML algorithms in production. o Keep abreast of the latest technology trends to drive standard methodologies and stay ahead of the curve. o Document and track all systems, pipelines and best practices. Skills and attributes for success The measurement of your success will be based on cost savings, the impact of MLOps on business revenue, the number of projects successfully completed, improvements made to existing solutions and processes, and customer Net Promoter Score (NPS). To qualify for the role you must have o Minimum of 3 years experience in setting up and maintaining CI/CD pipelines, preferably in a machine learning context. o Strong understanding of containerization and orchestration tools such as Docker and Kubernetes. o Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. o Proficient in scripting languages such as Python, Bash, or Shell for automation tasks. Innoventes Technologies India Pvt. Ltd Beginest Harbor 4 , 464, Krishna Temple Road, Indira Nagar 1st Stage, Bangalore 560038 www.innoventestech.com | +91 80 6862 8915 Ideally, you ll also have o ML Training data lifecycle. o Data storage and management engines: NoSQL databases; Search engines e.g. Elasticsearch, SQL databases; Timeseries databases. o Knowledge of distributed computer systems and web software development o Outstanding communication and presentation skills What we look for If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer centric solutions.

Job Title: Senior AI Engineer Location: Bengaluru, India - (Hybrid) At Reltio , we believe data should fuel business success. Reltio s AI-powered data unification and management capabilities encompassing entity resolution, multi-domain master data management (MDM), and data products transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud delivers interoperable data where and when its needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across multiple industries around the globe rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our Customer First , we strive to ensure their success. We embrace our differences and are Better Together as One Reltio. We are always looking to Simplify and Share our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We Own It . Every day, we innovate and evolve, so that today is Always Better Than Yesterday . If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let s talk! Job Summary: As a Senior AI Engineer at Reltio, you will be a core part of the team responsible for building intelligent systems that enhance data quality, automate decision-making, and drive entity resolution at scale. You will work with cross-functional teams to design and deploy advanced AI/ML solutions that are production-ready, scalable, and embedded into our flagship data platform. This is a high-impact engineering role with exposure to cutting-edge problems in entity resolution, deduplication, identity stitching, record linking, and metadata enrichment . Job Duties and Responsibilities: Design, implement, and optimize state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection. Work with structured, semi-structured, and unstructured data to extract signals and engineer intelligent features for large-scale ML pipelines. Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow , with seamless integration into production systems. Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models. Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies. Conduct deep dives into customer data challenges and apply innovative machine learning algorithms to address accuracy, speed, and bias. Actively contribute to research and experimentation efforts, staying updated with latest AI trends in graph learning, NLP, probabilistic modeling , etc. Document designs and present outcomes to both technical and non-technical stakeholders , fostering transparency and knowledge sharing. Skills You Must Have: Bachelor s or Master s degree in Computer Science, Machine Learning, Artificial Intelligence , or related field. PhD is a plus. 5+ years of hands-on experience in developing and deploying machine learning models in production environments. Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools ( Spark, Kafka, Airflow ). Strong understanding of ML fundamentals , including classification, clustering, feature selection, hyperparameter tuning, and evaluation metrics. Demonstrated experience working with entity resolution, identity graphs, or data deduplication . Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Strong debugging, analytical, and communication skills with a focus on delivery and impact. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science Skills Good to Have: Experience with knowledge graphs, graph-based ML, or embedding techniques . Exposure to deep learning applications in data quality, record matching, or information retrieval . Experience building explainable AI solutions in regulated domains. Prior work in SaaS, B2B enterprise platforms , or data infrastructure companies . Why Join Reltio* Health & Wellness: Comprehensive Group medical insurance, including your parent,s with additional top-up options. Accidental Insurance Life insurance Free online unlimited doctor consultations An Employee Assistance Program (EAP) Work-Life Balance: 36 annual leaves, which include Sick leaves - 18, Earned Leaves - 18 26 weeks of maternity leave, 15 days of paternity leave Very unique to Reltio - 01 week of additional off as recharge week every year globally Support for home office setup: Home office setup allowance. Stay Connected, Work Flexibly: Mobile & Internet Reimbursement No need to pack a lunch we ve got you covered with a free meal. And many more .. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.