7171 Machine Learning Jobs - Page 19

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.

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Skillsoft is the global leader in eLearning. Trusted by the worlds leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge. Are you ready to shape the future of learning through cutting-edge AIAs a Principal AI/Machine Learning Engineer at Skillsoft, you ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you ll collaborate with multiple teams to transform knowledge into a catalyst for growth unleashing your edge while helping others do the same. Join us in redefining eLearning for the world s leading organizations! Responsibilities: Hands-on AI/ML software engineer Prompt engineering, agentic workflow development and testing Work with product owners to understand requirements and guide new features Collaborate to identify new feature impacts Evaluate new AI/ML technology advancements and socialize finding Research, prototype, and select appropriate COTS and develop in-house AI/ML technology Consult with external partners to review and guide development and integration of AI technology Collaborate with teams to design, and guide AI development, and enhancements Document designs and implementation to ensure consistency and alignment with standards Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML training and inference Analyze, curate, cleanse, and preprocess data Utilize and apply generative AI to increase productivity for yourself and the organization Periodically explore new technologies and design patterns with proof-of-concept Participate in developing best practices and improving operational processes Present research and work to socialize and share knowledge across the organization Contribute to patentable AI innovations Environment, Tools Technologies: Agile/Scrum Operating Systems - Mac, Linux JavaScript, Node.js, Python PyTorch, Tensorflow, Keras, OpenAI, Anthropic, and friends Langchain, Langgraph, etc. APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure SQL: Postgres RDS NoSQL: Cassandra, Elasticsearch (VectorDb) Messaging - Kafka, RabbitMQ, SQS Monitoring - Prometheus, ELK GitHub, IDE (your choice) Skills Qualifications: (8+ years experience) Experience with LLMs and fine-tuning models Development experience including unit testing Design and documentation experience of new APIs, data models, service interactions Familiarity with and ability to explain: o system and API security techniques o data privacy concerns o microservices architecture o vertical vs horizontal scaling o Generative AI, NLP, DNN, auto-encoders, etc. Attributes for Success: Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor other developers Passionate, curious, open to new ideas, and ability to research and learn new technologies MORE ABOUT SKILLSOFT: Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets - their people - and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com . Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

About Swiss Re Corporate Solutions Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime. Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work. About the Role The Corporate Solutions Advanced Data Science team is seeking a highly experienced Senior AI Engineer to drive the development of our next-generation data solutions. In this pivotal role, youll apply sophisticated methods to transform raw, complex data into robust, scalable AI-powered data systems. Your responsibilities will include designing and implementing advanced algorithms, conducting in-depth statistical and machine learning analysis, and ensuring these systems are meticulously aligned with our strategic business objectives for maximum efficiency and impact. To excel, youll need exceptional analytical capabilities, a proven ability to integrate diverse data sources, mastery of multiple programming languages, and a deep understanding of cutting-edge machine learning methodologies. In this role, you will have following fundamental responsibilities: Work alongside a technically sophisticated team of data scientists and data engineers located within and outside Bangalore. Translate business needs and requirements into specific quantitative questions, which can be answered with available data using sound methodologies Identify and highlight gaps in existing datasets to enhance the data quality in the upstream systems. Create business value by leading end-to-end data initiatives including but not limited to data ingestion, transformation, solution development, deploying advanced AI/ML models and making process improvement recommendation Build up and maintain AI engineering and data science best practices, and model governance framework. Inspiring others to raise minimum standards to a new level. Design and develop frameworks for automated testing of data pipelines and machine learning artifacts. Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights. Work with Analytics and Business Experts to deploy the models into production by building APIs or leveraging our ETL pipelines Connect with business stakeholders to find process improvement opportunities and suggest suitable solutions. Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions. You are expected to use a wide variety of open-source technologies. Required Skills: University degree in Engineering or Computer Science (or comparable education/equivalent experience), with strong programming, data analytical skills Minimum 4 years of work experience in Machine Learning, AI, Data engineering, big data and projects Strong knowledge on system design, data structures, algorithms, storage systems, and cloud infrastructure Hands-on experience in using Palantir Foundrys advanced apps Hands-on experience in one or more cloud platforms like AWS, Azure, Google Cloud is a plus. Proficiency in Python, PySpark, TypeScript/Java Script and SQL Proven experience in designing and implementing end to end data pipelines and deploying ML and AI models Experience in working with shared code repository (VSS, SVN or Git) Experience in the re/insurance industry is a plus Communicate clearly and simply, even when dealing with complicated problems and ideas, and do so both orally and in writing. When interacting with colleagues, adjust your communication style to meet the needs of others. Open-minded, intellectually curious and enjoy continually learning from a variety of sources. A self-starter and able to solve problems and develop solutions About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134353

Technical Lead - Search We are looking for a Technical Lead with deep hands-on experience in both backend engineering and applied machine learning to join Myntra s Search team . This team drives some of the most critical experiences on the platform powering query understanding, auto-suggestions, and search ranking for millions of users. In this role, you will be responsible for designing and building scalable search and ML systems , leading technical discussions, and collaborating closely with engineers, data scientists, and product teams to continuously improve our search relevance and user experience. Key Responsibilities Develop and optimize search algorithms, ranking models, and ML-based relevance solutions. Work on backend services and distributed systems to scale search functionalities. Build efficient, scalable, and maintainable solutions for query understanding, auto-suggestions, and ranking. Collaborate with ML scientists, engineers, and product teams to enhance Myntra s search experience. Stay updated with the latest advancements in ML, NLP, and search technologies to drive continuous improvements. Requirements 6+ years of experience in software engineering, with at least 3+ years in an ML role. Strong expertise in search technologies such as Elasticsearch, Solr, or OpenSearch, along with a deep understanding of query processing and ranking. Hands-on experience with ML-based solutions. Proficiency in backend technologies (Java, Python, or Scala) and distributed computing frameworks (Spark, Kafka, or similar). Experience in building and scaling high-performance, real-time search systems in a production environment. Strong problem-solving skills with the ability to balance technical depth with business impact. Excellent communication and stakeholder management skills. Experience with NLP, LLMs, or deep learning for search Why Join Us Opportunity to work on cutting-edge search and ML challenges in one of India s leading fashion e-commerce platforms. Lead a team driving innovation in search experiences that impact millions of users. A dynamic and collaborative work environment with a strong focus on technology and customer experience. If you are passionate about search technologies, ML-driven ranking, and leading high-impact engineering teams, we d love to hear from you! " Who are we Myntra is India s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we ve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We re bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us. Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.

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

Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you ll do more than join something you ll add something. The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Senior Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models. Description Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills. You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide the best results and accurate answers to satisfy users information-seeking needs. Minimum Qualifications 10+ years experience in shipping Search and Q&A technologies and ML systems Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy Strong written and verbal communication with the ability to articulate complex topics Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others Passion for building phenomenal products and curiosity to learn Preferred Qualifications Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making Hands-on experience in Retrieval Augmented Generation (RAG), including developing, evaluating and enhancing for both retrievers and generative LLMs Experience presenting plans, progress, and results or demos regularly and concisely MS or Ph.D in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field

YABX is an alternate lending startup with a mission to enable seamless access to financial services for a large section of the world who don t have access to conventional banking products or simply don t find services from formal institutions relevant to their needs. We bridge this gap in credit by leveraging technology to curate user behavior through rapid iterations of digital products and services and bring deep analytical insights using AI and machine learning to make impactful decisions on a loan portfolio. Currently, we have live installations of retail-based unsecured lending products partnering with banks, telecom operators, and payment networks. We have a strong pipeline of expanding into other forms of lending (secured and unsecured) for individuals and SMEs. Utilize innovative testing technologies to develop the products testing strategy. Participation in design and code inspections. Should have experience in API level testing. Should have experience in Perform manual testing, the scope of which will encompass all functionalities of services as a prequel to automation. Should have experience in analyzing test logs; create test reports, and coordinate with stakeholders. Must have previous experience of handling team Basic Qualifications: 6+ years of experience working as a Quality Assurance Engineer Experience in manual testing Experience in automation testing Strong understanding of computer science fundamentals and data structures. Strong analytical and problem-solving skills. Good have an experience in databases. Understanding of QA methodologies, life cycle, and processes. Preferred Qualifications: Good to have an experience in financial services and lending SAAS platform testing. Working experience in testing frameworks and automation. Java or other scripting languages hands-on coding. Good to have an experience using SQL. Web-based product experience. Independent Analytical thinking and problem-solving ability Experience in testing the devices hardware and firmware.

Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you ll do more than join something you ll add something. The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models. Description Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills. You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide best results and accurate answers to satisfy users information-seeking needs. Minimum Qualifications 7+ years experience in shipping Search and Q&A technologies and ML systems Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy Excellent communication skills and ability to work in a collaborative research environment Passion for building phenomenal products and curiosity to learn Preferred Qualifications Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making Hands-on experience in Retrieval Augmented Generation, including developing, evaluating and enhancing for both retrievers and generative LLMs MS in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field

Technical Team Lead (Python and AI/ML) SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for Designation : Technical Team Lead (Python and AI/ML) Experience Range : 5+ years What skills and experience are we looking for Bachelors/Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in software development with strong expertise in Python. 3+ years of experience in machine learning, deep learning, or AI-based applications. Proficient in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV etc. Hands-on experience with data preprocessing, model training, validation, and deployment. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong understanding of REST APIs and backend development. Experience with cloud platforms like AWS, Azure, or GCP. Excellent problem-solving, communication, and leadership skills. Experience working in Agile/Scrum teams. Knowledge of data engineering tools (e.g., Spark, Kafka, Snowflake). Publications, open-source contributions, or Kaggle competition experience. Exposure to NLP, computer vision, or generative AI models is a plus. What is the work Lead and mentor a team of Python and AI/ML engineers. Design, develop, and deploy scalable machine learning models and end-to-end solutions. Collaborate with product managers, data scientists, and other stakeholders to define project goals and technical specifications. Translate business requirements into technical specifications and implementation plans. Architect backend systems using Python frameworks (e.g., FastAPI, Django, Flask). Review code, ensure best practices, and perform unit and integration testing. Monitor and improve model performance, reliability, and scalability in production. Ensure adherence to project timelines and deliverables. Stay current with emerging technologies and integrate them into existing systems as appropriate. Foster a culture of innovation, collaboration, and continuous improvement.

Sr. Python Developer (AI ML) SynapseIndia is one of the top I.T. outsourcing companies based out of Noida with clients across the globe. We are 23+ years old organization and with expertise of more than two decades, we have worked with both large brands as well as startups. Why work with us We are Microsoft Gold partner, Google partner, Shopify partner company with certified professionals. SynapseIndia is an MNC having clients and employees all over the world. SynapseIndia has 500 IT professionals and has plan to hire more than 500 more developers in the next 5 months. We have structured environment with industry leading CMMI level-5 compliant processes. Several IT professionals joined as developers/programmers and now they are leading a team . Salaries are always paid on time , from the time company started till date, there has never been a delay. Developers get an exposure to interact with international clients (Majorly USA clients) at a very early stage in career. Despite market conditions, we have not laid off people. We never work on holidays . This way, you can maintain your personal as well as professional life balance. Office timings are from 9:30 AM to 6:30 PM. 2nd and last Saturday of every month is off for everyone. Annual salary review based on company and individual performance. This is permanent work from office job opportunity. Who are we looking for Designation - Sr. Python Developer (AI ML) Experience Range - 5+ years What skills and experience are we looking for Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or related field. 5+ years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What is the work Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure.