9843 Machine Learning Jobs - Page 28

Key Skills: DAO - AI/ML, Automation, Python, big query, Project Management, Agile, SDLC,JAVA, SQL Role & responsibilities 8+ years of experience in Data Science / Preferable in Automobile Engineering Domain SKILLS: Professional Skill: Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge Work simplification - methods that maximize output while minimizing expenditure and cost. Analytics with Data - interprets data and turns it into information which can offer ways to improve a business Communication - Good verbal communication and interpersonal skills are essential for collaborating with customers Technical Skills: Python/Numpy, Seaborn, Pandas, Selenium, Beautiful Soup (basic), Spotfire, ML Libraries, RPA, R, Iron-Python, Html CSS, Javascript, SQL, HQL, Git/Gitlabee, Spark, Scala, Webservices, Spotfire/ Tableau, JIRA Tool Skill: Project management tools, Documentation tools, Modeling [wireframe] tools Database Skills: MsSQL, Postgres, MsAccess, Mongo DB Rigorous - The ability to analyse qualitative data quickly and rigorously Adaptability - Being able to adapt to changing environments and work processes

Responsibilities: * Design, develop & implement AI solutions using ML algorithms & NLP techniques. * Optimize performance through continuous learning & improvement. Annual bonus

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, Partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! As a Staff User Experience Designer at SolarWinds, you will take ownership of designing intuitive, high-impact experiences for AI-driven tools within the SolarWinds Observability Platform. You will be responsible for a core AI-powered service within the platform, working closely with Product Management, Data Science, and Engineering to drive usability, efficiency, and customer satisfaction. We seek a highly experienced UX professional who can work independently, collaborate effectively, and contribute to our global design system. If you have a strong track record of designing AI-powered enterprise SaaS applications and are passionate about simplifying complex workflows, we’d love to hear from you. What You’ll Do Own the UX for a core AI-driven service within the SolarWinds Observability Platform, ensuring a seamless and intuitive experience for enterprise users. Collaborate cross-functionally with Product Owners, Engineers, Data Scientists, and Designers to create AI-enhanced user experiences. Design interfaces that effectively communicate AI-generated insights, predictions, and recommendations while maintaining user trust and transparency. Create detailed wireframes, prototypes, and design specifications for AI-driven workflows and automation. Leverage UX research and customer insights to inform design decisions and optimize AI-based interactions. Ensure design consistency and scalability by contributing to our component-based design system. Advocate for user-centered AI design principles, ensuring that AI features enhance rather than hinder usability. Work closely with developers and data scientists to oversee the implementation of AI-driven features and maintain quality. Mentor other designers, providing guidance on AI design best practices and strategy. What You Bring 7+ years of experience in UX or UI design for enterprise SaaS products, with experience in AI-driven applications preferred. Strong ability to design for complex workflows and data visualization, including AI-powered dashboards and predictive analytics. Experience designing AI interactions that balance automation with human oversight. High-fidelity wireframing and prototyping expertise using tools such as Figma, Sketch, or Zeplin. Proven ability to ship enterprise-grade product experiences, as shown in a strong portfolio. Expertise in systems thinking and component-based design, including design systems and UI patterns. Strong communication skills to present and justify AI design decisions to stakeholders. Comfortable working in Agile teams, iterating quickly based on feedback and user testing. Experience collaborating with engineering and data science teams to ensure AI implementation accuracy. Bonus Points for Experience designing developer tools, observability platforms, or incident management software. Previous work in B2B SaaS or fast-paced startups. Knowledge of ethical AI principles and designing for AI explainability and user control. Familiarity with machine learning concepts and data visualization for AI-driven insights. Knowledge of HTML, CSS, or front-end development concepts, though not required. Work Arrangement Hybrid role requiring a minimum of three days in the office and two days remote. Office location: Smartworks Sargod Imperial, 93, Field Marshal Cariappa Road, Bengaluru, Karnataka – 560025. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice

Role and Responsibilities: Development, deployment, and optimization of ML, NLP models, and LLM/GenAI solutions Develop and maintain Python-based ML pipelines and manage associated databases Deploy AI models on Azure/AWS, ensuring performance and scalability Mentor team members and stay updated on advancements in ML, NLP, and GenAI Implement LLMOps best practices for efficient model lifecycle management Suitable candidates can share their resume at hr41@hectorandstreak.com

Job Description: Are you a data enthusiast with a passion for transforming raw data into actionable insights? We are seeking a talented Data Scientist to join our dynamic team. As a Data Scientist at Intellimind, you will play a pivotal role in leveraging AI, ML, and big data analytics to drive data-driven decision-making and generate tangible business value. Key Responsibilities: Manage, architect, and analyze large datasets to create data-driven insights and high-impact models that drive business growth. Develop predictive statistical models and utilize mathematical tools and techniques to solve complex business problems. Translate business challenges into specific requirements, identify relevant data sources, and deliver analytic solutions. Implement new predictive and prescriptive solutions aligned with business needs and requirements. Lead the development and delivery of large-scale programs that integrate processes with technology to enhance performance. Take ownership of end-to-end big data solutions, including data acquisition, storage, transformation, and analysis. Manage specific project areas or entire projects, working as both an individual contributor and overseeing small work efforts. Work autonomously with minimal supervision, demonstrating strong problem-solving skills. Qualifications & Skills: Bachelors or master’s degree in a relevant field from a well-known top university. 2-3 years of experience in data science and analytics, including AI and ML projects. Proficiency in statistical techniques and machine learning algorithms. Hands-on experience with analysis tools such as R and Python. Understanding of Text Analysis and Natural Language Processing (NLP). Knowledge of AWS Platform. Proficiency in VBA and visualization tools like PowerBI and Quicksight Solid understanding of statistical modeling, machine learning algorithms, and data mining concepts. Advanced proficiency in Excel and PowerPoint. Exceptional written and oral communication skills. Strong interpersonal skills and the ability to collaborate across diverse teams and cultures. Done several projects as related to Data Scientist If you are a data-driven problem solver with a passion for transforming data into meaningful insights, we invite you to join our team and contribute to our mission of delivering high-impact data solutions that provide a competitive advantage for our stakeholders.

AI & Robotics Trainer | B.E./B.Tech or M.E./M.Tech | Freshers welcome | Training provided | Teach AI, coding & robotics | Travel across Coimbatore | Strong in Tamil & English | Competitive salary Flexi working Travel allowance Annual bonus Performance bonus Capability building program

About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6-8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications.

Description & Requirements Introduction: A Career at HARMAN Automotive We re a global, multi-disciplinary team that s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About the Role The Digital Transformation Consultant will be responsible for defining and executing the digital transformation strategy across PLM, Quality, CAD, and Manufacturing solutions. You will drive the adoption of cutting-edge technologies, optimize workflows, and enhance collaboration to improve efficiency, reduce time-to-market, and foster innovation. This role requires a deep understanding of PLM, Quality, CAD, and manufacturing processes, coupled with a proven track record of leading successful digital transformation projects. What You Will Do Develop and implement a comprehensive digital transformation strategy for PLM, Quality, CAD, and Manufacturing, aligned with the companys overall business objectives. Identify and evaluate emerging technologies (e.g. IoT, AI, machine learning, cloud computing, digital twins, additive manufacturing) and assess their potential impact on our operations. Provide thought leadership and guidance on digital transformation best practices. Create and present roadmaps and business cases for digital transformation initiatives to senior management. Analyze and optimize existing PLM, Quality, CAD, and manufacturing workflows to identify areas for improvement through the application of digital technologies. Lead the selection, implementation, and integration of new digital tools and platforms, including PLM, CAD, FMEA, Manufacturing, and related systems. Ensure seamless data flow and integration between different systems and departments. Establish and maintain data governance and security standards. Drive change management initiatives to ensure smooth adoption of new technologies and processes. Collaborate with cross-functional teams, including engineering, manufacturing, IT, and quality, to achieve digital transformation goals. Provide training and support to employees on new digital tools and processes. Establish key performance indicators (KPIs) to measure the success of digital transformation initiatives. Monitor and report on the progress of digital transformation projects, identifying and addressing any challenges. Analyze data and provide insights to drive continuous improvement. Manage budget and resources effectively and have the ability to integrate CAD/CAM/CAE workflows into broader PLM and manufacturing processes. What You Need to Be Successful Minimum of 10 years of experience in PLM, Quality, CAD, and/or Manufacturing, with a proven track record of leading digital transformation initiatives. Deep understanding of PLM, Quality, CAD, and manufacturing processes and technologies. Strong knowledge of emerging digital technologies and their applications in manufacturing. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Proven ability to lead and motivate cross-functional teams. Experience with Industry 4.0 concepts. Ability to work independently and collaboratively within a team environment. Strong problem-solving and analytical skills with a keen attention to detail. Bonus Points if You Have Bachelor s or master s degree in engineering, Computer Science, or a related field. Experience with statistical analysis tools and programming languages. Knowledge of machine learning concepts and their application in cost analysis. Experience with AI/ML implementations within a manufacturing environment. Experience in digital twin development and deployment. Relevant certifications in areas such as data analytics, business intelligence, PLM, PCM, and ERP. Experience in the Automotive or High-tech industry. What Makes You Eligible Willingness to travel as required by client engagements.. Be willing to work in the Bangalore office. What We Offer Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location Access to employee discounts on world-class HARMAN and Samsung products (JBL, HARMAN Kardon, AKG, etc.) Extensive training opportunities through our own HARMAN University Competitive wellness benefits Tuition reimbursement Be Brilliant employee recognition and rewards program An inclusive and diverse work environment that fosters and encourages professional and personal development You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you - all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners, and each other. If you re ready to innovate and do work that makes a lasting impact, join our talent community today ! #LI-AD3 Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an @harman.com email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in @harman.com about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Apply

Python Engineer Job Title: Software Engineer - Python Experience Required: 5 years Employment Type: Full-Time Function: Software Development / Engineering About the Role We are looking for a skilled and motivated Software Engineer (Python) with 5 years of experience to join our engineering team. You ll work closely with machine learning engineers, product managers, and fellow developers to build scalable, event-driven backend systems and services. If youre excited about building impactful products and working in a collaborative, fast-paced environment, wed love to hear from you. Key Responsibilities Develop, deploy, and maintain microservices using Python. Design scalable and high-performance backend systems. Work with both SQL and NoSQL databases to support data needs. Implement event-driven architectures using Kafka or RabbitMQ. Use Elasticsearch for search and analytics features. Support the deployment of machine learning inference pipelines. Work with AWS and Kubernetes for infrastructure and deployment. Collaborate with ML engineers to integrate models into production systems. Partner with product managers to understand and implement requirements. Contribute to code quality, reviews, and system architecture discussions. Required Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 3-4 years of professional experience in software development using Python. Experience designing and building microservices. Hands-on experience with: SQL & NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra) Messaging systems (Kafka, RabbitMQ) Elasticsearch AWS services Kubernetes Understanding of event-driven systems and scalable architecture. Good communication and teamwork skills. Nice to Have Experience with Python web frameworks (e.g., Flask, Django, FastAPI) Familiarity with CI/CD pipelines Exposure to ML model deployment or inferencing Contributions to open-source projects

Summary: Join XYZ, a leading innovator in the tech industry, as a Machine Learning Engineer based in the vibrant city of Mumbai. We are seeking a dynamic individual with at least 1 year of experience in machine learning to contribute to our cutting-edge projects. As a Machine Learning Engineer at XYZ, you will be an integral part of our in-office team, collaborating with talented professionals to design, develop, and deploy machine learning models that drive impactful solutions. Your role will involve working closely with data scientists and software engineers to implement algorithms, optimize models, and ensure seamless integration into our systems. You will have the opportunity to work on diverse projects, ranging from predictive analytics to natural language processing, enhancing your skills and expertise in the field. At XYZ, we value innovation, creativity, and a passion for technology. We offer a stimulating work environment where your ideas are encouraged and your contributions are recognized. If you are eager to advance your career in machine learning and thrive in a collaborative setting, we invite you to apply for this exciting opportunity in Mumbai. Join us in shaping the future of technology and making a difference through the power of machine learning.

ML Inference & Optimization EngineerML Inference & Optimization Engineer Location: Mumbai Experience: 2-4 years You will be responsible for deploying and scaling domain and task-specific LLMs and deep learning models for real-time and batch inference Youll work on quantization, model optimizations, runtime tuning, and performance-critical serving. What Youll Do Integrate models into containerized services and APIs, and build high-performance inference pipelines optimized for latency, concurrency, and cost Deploy and optimize LLMs using vLLM, TGI, SGLang, Triton, TensorRT etc. Implement model quantization, speculative decoding, KV cache optimization, dynamic batching etc. Benchmark model throughput and latency across cloud VM configurations Debug performance bottlenecks: VRAM usage, token sampling speed, latency, instability Collaborate with infra team for scaling and observability Monitor and troubleshoot inference performance, ensuring system reliability and efficiency Stay abreast of advancements in model inference technologies and best practices You Bring 3+ years of experience in deploying and optimizing machine learning models in production, with 1+ years of experience in deploying deep learning models Experience deploying async inference APIs (FastAPI, gRPC, Ray Serve etc.) Understanding of PyTorch internals and inference-time optimization Familiarity with LLM runtimes: vLLM, TGI, TensorRT-LLM, ONNX Runtime etc. Familiarity with GPU profiling tools (nsight, nvtop), model quantization pipelines Bonus: prior work on ElasticSearch, distributed KV cache, or custom tokenizers

Summary: Join XYZ, a leading innovator in the tech industry, as a Machine Learning Engineer based in the vibrant city of Mumbai. We are seeking a talented individual with 2 years of experience in machine learning to contribute to our cutting-edge projects. As a Machine Learning Engineer at XYZ, you will have the opportunity to work in an in-office setting, collaborating with a dynamic team of professionals who are passionate about leveraging technology to solve real-world problems. Your role will involve designing, developing, and deploying machine learning models that drive impactful solutions across various domains. You will be responsible for data preprocessing, feature engineering, and model optimization to ensure high performance and accuracy. At XYZ, we value innovation and encourage our team members to explore new techniques and tools to enhance our machine learning capabilities. You will have access to state-of-the-art resources and a supportive environment that fosters professional growth and development. If you are a proactive problem solver with a strong foundation in machine learning algorithms and a desire to make a difference, we invite you to apply for this exciting opportunity. Join us in Mumbai and be part of a company that is shaping the future of technology.

Data Scientist - Multi-Touch Attribution (MTA)Job Title: Data Scientist - Multi-Touch Attribution (MTA) Location: Bangalore (3 days work from office) Experience: 3+ years About the Role We are looking for a skilled Data Scientist to lead our Multi-Touch Attribution (MTA) modelling efforts. This role will be instrumental in accurately measuring the impact of each marketing channel and touchpoint on user conversions and business outcomes. You will work closely with marketing, growth, and data engineering teams to develop attribution frameworks, enable budget optimisation, and enhance ROI measurement. Key Responsibilities Develop and implement algorithmic attribution models to quantify the impact of various marketing touchpoints. Apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate online and offline signals. Work with large-scale marketing datasets including impressions, clicks, conversions, and engagement metrics. Partner with marketing teams to improve channel efficiency and campaign planning based on attribution insights. Conduct model validations using holdout experiments and out-of-sample testing to ensure reliability. Automate model scoring and reporting pipelines to provide real-time attribution visibility. Create intuitive dashboards and documentation to communicate findings and influence strategic decisions. Qualifications: 3+ years of experience in data science, marketing analytics, or attribution modelling. Strong hands-on experience with Python, SQL, and relevant data science libraries. In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay. Solid understanding of digital marketing channels and customer journey analytics. Experience with model validation, experimentation design, and lift analysis. Strong problem-solving and communication skills with a product mindset.

Data Scientist/ Pricing Analyst - Personalised PricingAbout the Role We are seeking a Data Scientist or Pricing Analyst to lead our Personalised Pricing initiatives - designing and scaling pricing strategies tailored to individual user behaviour, preferences, and demand elasticity. This role involves developing intelligent pricing models that adapt to real-time signals and customer context, to maximise revenue while enhancing user satisfaction. Youll work cross-functionally with product, engineering, and marketing teams to experiment, validate, and operationalise personalised pricing mechanisms. Key Responsibilities Develop and deploy personalised pricing models using historical behaviour, purchase intent, segmentation, and contextual data. Apply advanced statistical and machine learning techniques to estimate demand curves and user-level price sensitivity. Design and execute pricing A/B tests, analyzing lift, revenue impact, and user experience trade-offs. Develop dynamic pricing frameworks that adjust in real-time based on inputs such as location, time, inventory, and user cohorts. Collaborate with engineering teams to integrate models into pricing engines and user-facing platforms. Communicate findings clearly to business stakeholders and make data-backed pricing recommendations. Must-Have Qualifications 3-6 years of experience in data science, pricing, or quantitative strategy roles. Strong programming skills in Python and SQL; experience with libraries like scikit-learn, stats models, or XGBoost. Deep knowledge of pricing analytics, revenue management, and behavioral economics. Experience in building predictive models for conversion, elasticity, or revenue uplift. Ability to synthesize complex data into actionable strategies with business impact. Strong experimentation mindset with familiarity in causal inference and A/B testing methodologies.

We are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation. About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. Join us to be at the forefront of building a deep tech company from India that solves problems for the globe. Roles & Responsibilities: Architect, build and integrate end-to-end life cycles of large-scale, distributed machine learning systems i.e. ML Ops using cutting-edge tools/frameworks. Develop tools and services for explainability of ML solutions. Implement distributed cloud GPU training approaches for deep learning models. Build software/tools that improve the rate of experimentation for the research team and extract insights from it. Identify and evaluate new patterns and technologies to improve the performance, maintainability, and elegance of our machine learning systems. Contribute to and execute technical projects to completion. Collaborate with peers to develop requirements and monitor progress. Collaborate with engineers across various functions to solve complex data problems at scale. Qualification: 5 - 8 years of professional experience in implementing MLOps framework to scale up ML in production. Master s degree or PhD in Computer Science, Machine Learning / Deep Learning domains Must-haves: Hands-on experience with orchestration and pipeline tools like Kubernetes, Apache Airflow, etc., and ML lifecycle management tools such as MLflow, SageMaker, or similar, covering model training, inference, evaluation, and deployment. Proficient in deploying ML models using frameworks like Ray Serve, TorchServe, TensorFlow Serving, or NVIDIA Triton Inference Server. Strong foundation in ML model training frameworks such as PyTorch, PyTorch Lightning, TensorFlow, etc. Experience leveraging GPU computing for parallel processing of data and model training. Solid software engineering skills with a track record of building production-grade systems. Advanced programming skills in Python. Proven experience in designing and implementing end-to-end data systems in roles like ML Engineer, ML Platform Engineer, or similar. Familiarity with cloud-based data processing tools and services such as AWS (S3, ECR, Lambda), Spark, Dask, Elasticsearch, Presto, and SQL. Exposure to geospatial or remote sensing data is an added advantage. Core Competencies: Strong debugging and critical thinking capabilities. Excellent analytical and problem-solving skills. Ability to thrive in fast-paced, collaborative team environments. Benefits: Medical Health Cover for you and your family, including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round

Job Summary As an HR Business Partner at Bluphlux, you will play a critical role in aligning our human resources strategy with our business objectives. You will work closely with leadership to develop and implement HR initiatives that support our innovative approach to recruitment and talent management. Key Responsibilities Collaborate with business leaders to understand their needs and provide strategic HR support. Develop and implement HR policies and procedures that align with Bluphluxs mission and values. Support the recruitment process by leveraging our patented AI algorithm to identify top candidates. Drive employee engagement and retention initiatives to foster a positive work environment. Provide guidance and support on employee relations issues, ensuring compliance with labor laws and regulations. Analyze HR metrics to identify trends and develop strategies for improvement. Facilitate training and development programs to enhance employee skills and performance. Required Qualifications Bachelors degree in Human Resources, Business Administration, or a related field. 5+ years of experience in HR roles, preferably as an HR Business Partner. Strong understanding of HR best practices and labor laws. Excellent communication and interpersonal skills. Proven ability to work collaboratively with cross-functional teams. Experience with HR analytics and data-driven decision making. Preferred Skills Experience in a tech-driven or innovative company. Familiarity with AI and machine learning applications in HR. Advanced degree in HR or related field. Certification in HR (e.g., SHRM-CP, PHR).

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That s why we need smart, committed people to join us. Whether you re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor y while evolving your skills in a culture that will welcome your unique contributionsIf so, lets start the conversation. At Iron Mountain we protect what our customers value most, from the everyday to the extraordinary, while helping them bridge the physical and digital world. Our people have the opportunity to bring their creativity to a workplace that thrives on change. Here, you will be part of a team that doesn t just embrace what s exceptional. We create exceptional products and customer experiences. The Digital Business Unit partners with our customers to safeguard their data, assets, and reputation from internal and external threats such as disasters, ransomware, and shifts in the market. We achieve this through a unified asset and data strategy that: Protects data and other assets in accordance with corporate and regulatory handling policies. Unlocks data through digitization to move the business forward through automation and optimized governance and access, while minimizing risk. Transforms data into insights to enhance and accelerate decision-making and enable real-time automation. Keywords: developer, implementation, administration documentation, API, SaaS, mentorship ABOUT THIS OPPORTUNITY.... (Ability to work Remote) We are seeking an experienced and detail-oriented Senior Technical Writer to join our Technical Enablement team. As a Senior Technical Writer you will develop technical enablement resources for our developer audiences, including our internal stakeholders from our customer success team to our partners and our external customers and partners. The content resources you create will help ensure the success of our implementation projects and help customers use our product. The ideal candidate is skilled at collaborating with various functions to extract key information and present it in an accessible format. You are curious and comfortable asking questions, a self-starter, problem solver, and take initiative. You will help develop strategy, standards, processes, and procedures for developing technical documentation at Iron Mountain. To be successful in this role, you will need to: Be curious and not be afraid to ask questions. Take complex technical information and translate it into easy to understand content. Ability to prioritize and execute multiple projects and tasks in a fast-paced environment with minimal supervision. Be a user advocate. Collaborate closely with technical SMEs and manage projects with multiple contributors Communicate clearly and frequently with management and stakeholders and demonstrate strong writing, project management, and organizational skills Adapt to rapidly changing project timelines and deliverables Be creative, innovative, and resourceful. Take initiative proactively. Identify user personas. Manage and prioritize work independently. Responsibilities Independently write and edit technically accurate, high-quality content. Assess core personas and their motivations and develop the appropriate content to support them. Determine the clearest and most logical way to present product information for user comprehension. Act as user advocate in the creation and review of UX content. Generate innovative ideas for content development and delivery. Collaborate with subject-matter experts, including product managers, software developers, professional services, and partners to gain an understanding of topics and user and content needs, create content for documentation and user interfaces, and help define product language and terminology. Maintain and update content as the product evolves. Implement content feedback channels to identify and solve problems via documentation. Provide mentorship to other writers. Contribute to defining language styles, including the look, feel, mood, and voice for all content types. Contribute to departmental strategy, processes, standards, and procedures. Mentor more junior members of the team. Qualifications 5+ years technical writing experience for a SaaS/PaaS company. Bachelor s degree in English, Technical Writing/Communication, or related field. Excellent verbal and written communication skills. Excellent organizational skills and attention to detail. Willingness to take on new challenges and build on current skills. Exceptional analytical and conceptual thinking skills. Ability to multi-task and be a self-starter. Ability to edit, write, and revise all technical material for consistency and accuracy. Passion to learn and understand software implementation, API integration, and SaaS delivery workflows. Proficiency with technical writing tools, Paligo a plus. Knowledge of server-oriented architectures and web platform applications with the ability to interact with engineers with APIs and REST services topics. Experience documenting APIs a plus. Working knowledge of AI, AI Agents, machine learning (ML), ML data preparation techniques, and/or machine learning models a plus. Familiarity with content delivery platforms a plus. Instructional design experience a plus. Why Join Us As a Senior Technical Writer on our team, you will have the unique opportunity to shape the way knowledge is shared across the organization. Your work will directly impact the success of our implementation, professional services, and partner teams, driving excellence in SaaS delivery. We value collaboration, innovation, and a passion for clarity in communication. Join us to help create a culture of knowledge sharing and enablement! Category: Technology

Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications. The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application. The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions. Responsibilities: Contribute the development of Artificial Intelligence solutions for medical imaging Support the product development and deployment of research prototypes Support Scientific evaluation, setup and manage algorithm validation pipeline Education: Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics. Experience: 4+ Years of experience Skills/Competency: Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R) Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required Prior exposure to machine learning and related fields is preferable but not required Motivated, self-driven and with a strong ability to learn independently Exhibits strong problem-solving skills Self-directed and actively takes initiative Familiar with DICOM & Medical Raw image formats and its applications Familiar with Data science tools Strong knowledge of regulatory needs related to medical devices, AI products in healthcare

2+ years of ML + NLP experience. Programming in Python. Knowledge of SQL and NoSQL databases. Expert ability to write robust code in Python. Experience working with structured and unstructured data including data extraction, integration, and normalization. Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy. Expert skill at manipulating data frames using Pandas and arrays using NumPy. Good To Have: Experience with big data frameworks such as Spark and Hadoop. Experience with containerizing applications using docker. Understanding business objectives and formulating the problem as a Machine Learning problem. In-depth knowledge of various NLP domains such as entity extraction, topic modeling, knowledge graphs, parsing, question answering, etc and linking with domain specific dictionaries. Expertise in a variety of Deep Learning architectures including RNN, CNN, LSTMs, Transformer, and Transfer Learning. Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.) and conversational AI (chatbots). Implement cutting edge CV techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV. Hands-on experience in any public cloud environment (AWS, GCP or Azure). Ability to build robust data processing and analytics pipelines. Operationalize ML models into production environment(s). Strong knowledge of software fundamentals, data structures and algorithms. Strong analytical and problem-solving skills. Quick learner passionate about Machine Learning and Data Science.

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.

Description Enphase Energy is a global leader in solar inverters. By combining the power of solar energy and the proven advantages of communications technology, Enphase Energy makes solar power systems productive, reliable, smart and safe - increasing the energy harvest of solar panels by up to 25 percent. Our microinverter system is profoundly changing the way solar systems function, and thus, changing the solar industry itself. As we continue our exciting growth, we are building teams with highly talented individual contributors and leaders who design, develop, and manufacture next generation solar technologies. Our work environment is fast-paced, fun, and full of exciting new projects. The Software Engineer role will be responsible for Supporting Enphase Analytics and Data-warehouse team. Provides support for the data management/Governance activities of the organisation. Collaborates with Engineering/Quality/CS teams/Factory and various other teams. Overview: Design, develop, and maintain Analytics/dashboards/Automation and reports. Work closely with stakeholders to understand their needs and translate them into business/DW solutions. Ensure the performance optimisation, quality, and responsiveness of the dashboards. Collaborate with the team to define, design, and ship new features. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organisation, and automatisation. Essential duties/responsibilities: Strong understanding of Datawarehouse Concepts. Experience translating theoretical concepts into engineered features, with a demonstrated ability to create features capturing important events or transitions within the data. Expertise in crafting custom features that highlight unique patterns specific to the dataset or problem, enhancing model predictive power. Ability to combine and synthesise information from multiple data sources to develop more informative features. Advanced knowledge in Apache Spark (PySpark, SparkSQL, SparkR) and distributed computing, demonstrated through efficient processing and analysis of large-scale datasets. Proficiency in Python, R, and SQL, with a proven track record of writing optimized and efficient Spark code for data processing and model training. Hands-on experience with cloud-based machine learning platforms such as AWS SageMaker and Databricks, showcasing scalable model development and deployment. Demonstrated capability to develop and implement custom statistical algorithms. Proficiency in statistical methods for identifying patterns and trends in large datasets, essential for predictive maintenance. Experience optimising code for performance in high-throughput, low-latency environments. Experience deploying models into production, with expertise in monitoring their performance and integrating them with CI/CD pipelines using AWS, Docker, or Kubernetes. Familiarity with end-to-end analytical architectures, including data lakes, data warehouses, and real-time processing systems. Experience creating insightful dashboards and reports using tools such as Power BI, Tableau, Incorta or custom visualisation frameworks to effectively communicate model results to stakeholders. 5+ years of experience in data science and explored Gen AI/DL/AIML model using ML Flows Qualifications Bachelor s or Master s degree/ Diploma in Engineering, Statistics, Mathematics or Computer Science 5+ years of experience as a Data Engineer/Data Science Strong problem-solving skills Proven ability to work independently and accurately Strong Expertise in Python, Spark, R, SQL or any other programming language Strong hands-on expertise with at least one analytics tools like Snowflake, Databricks or Incorta.

Job Title: Location: Bangalore Experience: 3-5 Years Job Description: We are looking for a highly skilled Data Engineer & Analytics Specialist with 3 5 years of experience to join our growing data team. The ideal candidate will possess strong technical capabilities in SQL , Python , Tableau , and experience with ETL processes , cloud platforms , and version control systems . You will play a key role in driving data-based decision-making by building scalable pipelines, dashboards, and advanced analytics solutions. Required Skills & Qualifications: Bachelor s degree in Computer Science, Data Science, Information Systems , or a related field. 3 5 years of hands-on experience in data analysis, data engineering , or related roles. Advanced proficiency in SQL for large dataset manipulation and analysis. Strong programming experience with Python for automation and data handling. Expertise in Tableau for dashboard development and business intelligence. Experience with Dataiku or Google Cloud Platform (GCP) is a plus. Knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn) is an added advantage. Familiarity with cloud platforms like GCP, AWS, or Azure . Experience using version control tools such as Git .

Join Vonage and help us innovate cloud communications for businesses worldwide! Fixed shift timing (Americas Shift): 9:30 PM - 5:30 AM IST Why this role matters: As a Technical Support Engineer for Jumper AI, you will provide first-class technical support to our rapidly growing strategic customer base, who rely on our conversation commerce engagement platform. You will work closely with sales, product, engineering, and the rest of the Vonage organisation. Your key responsibilities: Providing customers with lightning-fast response and resolution times and excellent communication to delight them with the Vonage service. Analysing Conversational Flows and using an analytical approach to troubleshoot and solve technical issues within our Jumper APIs Getting stuff done for the customer, doing whatever it takes to ensure their success. Capturing knowledge for customers who prefer solving their issues without contacting support. Following processes unless customers are better served by bending our rules or improving our processes. You are curious to learn how things work and what you can do to improve them. Work closely with other teams, such as developers and product managers, to identify and resolve technical issues and provide feedback on product issues and bugs. What youll bring: Successful candidates should have experience in technical support within cloud communication, conversational commerce, or AI/ML technology sectors. 2-4 years experience in technical support, ideally within the Google Cloud Platform, Communications Platform (CPAAS), B2B SAAS platform, Conversational Commerce or AI/Machine Learning Technologies Experience in SQL and non-SQL databases to understand how the platform stores and retrieves data. Familiarity and understanding of REST APIs and webhooks Scripting languages: Python and JavaScripting with React and Vue.js would be a plus Experience with CRM software like Zendesk, JIRA, or Confluence would be a plus. Excellent communication skills, written and verbal There s no perfect candidate. You dont need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if youre passionate about what you could achieve at Vonage, wed love to hear from you. To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice here . Who we are: Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovateThen join us today. Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

Job Description: Job Description Integration Data Engineer x Role Overview The ideal Integration Data Engineer is a dynamic contributor, passionate about software development, and dedicated to making a meaningful impact within a team of smart, creative individuals. The successful candidate will be part of a team responsible for the development and support of integration solutions connecting modern SaaS including Salesforce, Workday, Workfront, Microsoft D365, traditional back-office systems and strategic data platforms. We seek a candidate experienced in data integrations, data transformations, query/database optimization, consuming web services and working with APIs. The candidate must be technically proficient with strong interpersonal, troubleshooting, and documentation skills. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems. This role offers the opportunity to work on exciting projects and make a significant impact within the organization. Key Responsibilities Review Business Requirements to identify integration needs and design, develop, and test complex integration solutions. Develop and maintain scalable data pipelines and build out new API integrations for data transfer. Engage with key stakeholders to understand and define integration requirements. Collaborate with architects and senior technical leads to create and enhance complex integration components. Understand and document data structures and business rules within source systems. Contribute to the analysis, design, development, and delivery of integration projects by performing complex data mapping and data conversion activities Collaborate with other teams in Data Engineering and other Technology functions to deliver secure, reliable, robust, and scalable integrated solutions. Perform quality assurance and testing at the unit level. Troubleshoot and take ownership of issues in development, test, and production environments, including performance optimization and continuous tuning. Continuously learn and evaluate the latest development methods, tools, and technologies. Demonstrate strong problem-solving ability, logic, and analytical skills. Manage multiple projects in a fast-paced environment. Key Skills and Experience 3-5 years of experience as an integration engineer. Demonstrable experience within data engineering and data-related projects. Job Description Integration Data Engineer x Hands-on project delivery experience within several data-related initiatives, including data design, data mapping, and data quality assessment. Experience building integrations with at least one integration platform e.g. SnapLogic, Boomi. Proficient in one or more data-related programming languages Experienced in Agile development. Knowledge of cloud platforms such as Azure and AWS. Experience with AI technologies and machine learning frameworks is a plus, as it will enhance our ability to innovate and improve our integration solutions. Driven to continually learn about and incorporate new technologies. Thrive in a self-driven environment. Strong interpersonal and communication skills. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Job Title : Senior Business Analyst Experience Level : 4-6 Years Location : Mumbai / Bangalore / Trivandrum Role & Responsibility As a key member of Quantiphi s core team, the Senior Business Analyst will play a critical role in driving strategic initiatives by leading requirement gathering, managing project delivery, and ensuring business value realization across engagements. The Sr. BA will work closely with cross-functional teams, stakeholders, and clients in the BFSI industry. Your responsibilities will include: Requirement Gathering & Analysis Lead and facilitate workshops, interviews, and sessions to gather detailed business and technical requirements from clients and internal stakeholders. Translate business needs into functional specifications and user stories. Prioritize requirements based on business value and technical feasibility. Continuously validate and refine requirements throughout the project lifecycle. Project Management & Delivery Collaborate with Machine Learning engineers, Software Developers and other stakeholders to ensure timely and quality delivery of solutions. Develop and manage project plans, timelines, milestones, and deliverables. Track progress, identify risks or issues, and implement mitigation strategies. Manage project scope, changes, and client communications effectively. Ensure alignment between project outcomes and client expectations. Business Strategy & Problem Solving Apply structured problem-solving techniques to develop data-driven solutions for complex business challenges. Understand client s business processes and identify opportunities for AI ML and analytics-based transformation. Work with technical teams to design and deliver innovative, scalable solutions. Stakeholder Engagement Act as a liaison between technical teams and business stakeholders. Facilitate presentations, demos, and workshops to communicate insights and progress. Drive consensus across multiple stakeholders with competing priorities. Skills Required Advanced degree in Business (MBA or CA or CFA), Economics, or Engineering. 4+ years of experience in business analysis, requirement gathering, and project delivery in a technology-driven environment. Strong understanding of project management methodologies (Agile or Scrum or Waterfall). Experience working with cross-functional teams on Data/AI/ML/Analytics projects. Excellent analytical thinking and structured problem-solving ability. Strong verbal and written communication, presentation, and documentation skills. Ability to manage multiple projects and priorities simultaneously. Possess experience in the BFSI sector, with a focus on the insurance domain. Must have a willingness to learn and apply emerging trends in business research and analysis. Must be a team player. Proactive, self-motivated, and capable of working independently and in a fast-paced, entrepreneurial environment. Willingness to travel as required (domestically or internationally). If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !