About The Role Uber partners with hotels and airlines -- including Marriott, Delta, Air France, and more -- to reward customers with hotel and airline loyalty points when they use Uber. Millions of Uber users benefit from these deals, and they are an integral part of our marketing and customer value proposition. Improving the product experience and measurement of these deals is a critical part of evaluating and expanding the program to additional markets. What You Will Do ---- Generate product insights through analysis to influence decisions and what / how the team builds Design and analyze experiments to help the team learn, ship, and measure impact Lead product measurement for the team, including metrics design, implementation, and goal setting Scale data visibility and access through dashboards or other tools What You Will Need ---- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. SQL expertise Experience with either Python or R for data analysis Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Experience with dashboarding/data visualisation (i.e. Tableau, Mixpanel, Looker, or similar) Preferred Qualifications Excellent understanding of statistical principles backed by an academic foundation Technology and product experience Marketplace experimentation Modeling or causal inference Show more Show less

About Mindtickle’s AI/ML Engineering Team Mindtickle is a revenue productivity solution that helps revenue teams enhance their performance by identifying areas for improvement for each team member, recommending appropriate remedial actions, and providing opportunities to implement those recommendations. The charter of the CoE-ML team is to enhance Mindtickle’s solution offerings-such as embedding artificial intelligence in the form of CoPilots, developing hyper-realistic AI-powered role plays, and enabling the automatic curation of collateral while also improving Mindtickle’s internal operations. This includes optimizing workflows, accelerating business processes, and making information more easily discoverable. We work on cutting-edge technologies to drive innovation and deliver advanced AI solutions. We maintain high-quality evaluation standards and continuous improvement practices to ensure our AI features meet stringent performance and reliability criteria. Role Overview As an SDE-3 in AI/ML, you will: Translate business asks and requirements into technical requirements, solutions, architectures, and implementations. Define clear problem statements and technical requirements by aligning business goals with AI research objectives. Lead the end-to-end design, prototyping, and implementation of AI systems, ensuring they meet performance, scalability, and reliability targets. Architect solutions for GenAI and LLM integrations, including prompt engineering, context management, and agentic workflows. Develop and maintain production-grade code with high test coverage and robust CI/CD pipelines on AWS, Kubernetes, and cloud-native infrastructures. Establish and maintain post-deployment monitoring, performance testing, and alerting frameworks to ensure performance and quality SLAs are met. Conduct thorough design and code reviews, uphold best practices, and drive technical excellence across the team. Mentor and guide junior engineers and interns, fostering a culture of continuous learning and innovation. Collaborate closely with product management, QA, data engineering, DevOps, and customer facing teams to deliver cohesive AI-powered product features. Key Responsibilities Problem Definition & Requirements Translate business use cases into detailed AI/ML problem statements and success metrics. Gather and document functional and non-functional requirements, ensuring traceability throughout the development lifecycle. Architecture & Prototyping Design end-to-end architectures for GenAI and LLM solutions, including context orchestration, memory modules, and tool integrations. Build rapid prototypes to validate feasibility, iterate on model choices, and benchmark different frameworks and vendors. Development & Productionization Write clean, maintainable code in Python, Java, or Go, following software engineering best practices. Implement automated testing (unit, integration, and performance tests) and CI/CD pipelines for seamless deployments. Optimize model inference performance and scale services using containerization (Docker) and orchestration (Kubernetes). Post-Deployment Monitoring Define and implement monitoring dashboards and alerting for model drift, latency, and throughput. Conduct regular performance tuning and cost analysis to maintain operational efficiency. Mentorship & Collaboration Mentor SDE-1/SDE-2 engineers and interns, providing technical guidance and career development support. Lead design discussions, pair-programming sessions, and brown-bag talks on emerging AI/ML topics. Work cross-functionally with product, QA, data engineering, and DevOps to align on delivery timelines and quality goals. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of professional software development experience, with at least 3 years focused on AI/ML systems. Proven track record of architecting and deploying production AI applications at scale. Strong programming skills in Python and one or more of Java, Go, or C++. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments. Deep understanding of machine learning algorithms, LLM architectures, and prompt engineering. Expertise in CI/CD, automated testing frameworks, and MLOps best practices. Excellent written and verbal communication skills, with the ability to distill complex AI concepts for diverse audiences. Preferred Experience Prior experience building Agentic AI or multi-step workflow systems (using tools like Langgrah, CrewAI or similar). Familiarity with open-source LLMs (e.g., Hugging Face hosted) and custom fine-tuning. Familiarity with ASR (Speech to Text) and TTS (Text to Speech), and other multi-modal systems. Experience with monitoring and observability tools (e.g. Datadog, Prometheus, Grafana). Publications or patents in AI/ML or related conference presentations. Knowledge of GenAI evaluation frameworks (e.g., Weights & Biases, CometML). Proven experience designing, implementing, and rigorously testing AI-driven voice agents - integrating with platforms such as Google Dialogflow, Amazon Lex, and Twilio Autopilot - and ensuring high performance and reliability. What We Offer Opportunity to work at the forefront of GenAI, LLMs, and Agentic AI in a fast-growing SaaS environment. Collaborative, inclusive culture focused on innovation, continuous learning, and professional growth. Competitive compensation, comprehensive benefits, and equity options. Flexible work arrangements and support for professional development. Show more Show less

Job Title: Python Engineer – Vision-Based Projects Experience: 3+ Years Location: Pune Employment Type: Full-time Job Summary: We are looking for a skilled and passionate Python Engineer with hands-on experience in vision-based projects, such as object detection, image classification, and video analytics. The ideal candidate should have a solid understanding of computer vision libraries, machine learning techniques, and real-time data processing. Key Responsibilities: Design, develop, and optimize computer vision algorithms using Python. Work on vision-based applications including object detection, image segmentation, and video analysis. Implement and train deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV. Integrate computer vision solutions into real-time systems or cloud environments. Collaborate with cross-functional teams including data scientists, backend engineers, and product managers. Maintain and improve code quality, testing, and documentation. Stay updated with the latest trends and advancements in vision-based AI/ML solutions. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. Minimum 3 years of experience in Python programming. Strong experience in vision-based libraries: OpenCV, Pillow, scikit-image, computer vision etc. Experience with deep learning frameworks: TensorFlow, Keras, or PyTorch. Proficiency in image and video processing, feature extraction, and real-time inference. Experience with REST APIs and cloud deployment (AWS/GCP) is a plus. Familiarity with Git, Docker, and CI/CD pipelines. Good to Have: Experience with edge devices like NVIDIA Jetson, Raspberry Pi, etc. Knowledge of classical machine learning (SVM, Random Forests, etc.). Understanding of calibration, tracking, and 3D vision techniques. Job Type: Full-time Pay: ₹300,000.00 - ₹900,000.00 per year Benefits: Flexible schedule Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Chakan, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Software deployment: 3 years (Required) Work Location: In person

Woxsen University invites applications for a distinguished faculty position to lead our ambitious expansion in public policy education and research. This position offers the extraordinary opportunity to build a world-class public policy program while conducting influential research on governance, policy innovation, and democratic institutions in one of the world's largest democracies and fastest-growing economies. POSITION SUMMARY We seek a preeminent scholar-practitioner to establish and direct our Institute for Policy Innovation & Democratic Governance. The successful candidate will conduct transformative research on contemporary policy challenges while building bridges between academic research, policy practice, and democratic institutions. This role requires a visionary leader who can advance both theoretical understanding and practical solutions to complex governance challenges in the 21st century. KEY RESPONSIBILITIES Research Leadership: Lead innovative research on public policy, governance institutions, political economy, or comparative politics with relevance to emerging democracies Establish a policy research center focusing on areas such as digital governance, sustainable development policy, institutional design, or policy innovation Secure major research grants from national and international funding agencies (target: $1.5M+ annually) Publish influential research in top-tier political science and policy journals (APSR, AJPS, Journal of Public Policy, Governance) Develop strategic partnerships with policy think tanks, government institutions, and international organizations Academic Excellence: Design cutting-edge curricula in public policy analysis, political institutions, policy evaluation, and governance Mentor doctoral students in rigorous policy research methodologies and dissertation development Establish professional Master's programs in public policy and governance for mid-career professionals Create experiential learning opportunities through policy simulation exercises, practicum placements, and policy consulting projects Lead undergraduate programs in political science and public affairs Policy Impact: Serve as expert advisor to government agencies, parliamentary committees, and policy commissions Contribute to policy white papers, legislative analysis, and institutional reform recommendations Engage with civil society organizations, NGOs, and advocacy groups on policy research and evaluation Provide evidence-based policy recommendations on critical national and international challenges Establish policy labs for testing innovative governance solutions and institutional designs Global Engagement: Collaborate with leading policy schools globally (Harvard Kennedy School, Princeton SPIA, Oxford Blavatnik, LSE Government) Participate in international policy dialogues, diplomatic forums, and multilateral institution discussions Organize international conferences on governance, democracy, and policy innovation Contribute to global policy debates through public intellectualism and media engagement REQUIRED QUALIFICATIONS Ph.D. in Political Science, Public Policy, Public Administration, or closely related field from a top-tier university Minimum 8 years of post-doctoral experience with demonstrated research excellence Outstanding publication record in leading peer-reviewed journals (minimum 25 high-quality articles) Proven success in securing competitive research funding and managing large research projects Demonstrated expertise in quantitative and/or qualitative research methodologies Policy experience through government service, consulting, or institutional advisory roles preferred PREFERRED QUALIFICATIONS Specialization in comparative politics, institutional analysis, policy evaluation, or governance in developing countries Experience with advanced methodologies (experimental design, causal inference, big data analytics, mixed methods) International policy experience with multilateral organizations, development agencies, or diplomatic institutions Fluency in multiple languages and cross-cultural research competency Background in policy areas relevant to India and South Asia (development policy, digital governance, institutional reform) Media experience and public intellectual engagement through op-eds, policy blogs, or public speaking Show more Show less

Senior Software Engineer Bangalore, Karnataka, India Date posted Jun 09, 2025 Job number 1822812 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Join our team building the foundational infrastructure that ensures safety, compliance, and integrity at global scale. As a Senior Software Engineer on the Trust & Safety Platform team, you’ll design and build the core, low-latency systems that evaluate ads, content, and user signals against policy in real time. These systems process hundreds of billions of entities daily, providing the enforcement backbone for content moderation, ad quality, and user protection workflows across Microsoft’s ecosystem. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years of experience building distributed systems or high-scale backend infrastructure. Strong programming experience in C++, C# with knowledge of object-oriented design, concurrency, and system architecture. Expertise in performance optimization, latency tuning, and scalable service design. Experience with stream processing or event-driven architectures (e.g., Apache Flink, Kafka Streams, Beam). Experience with cloud-native data infrastructure (e.g., Kubernetes, Azure, BigQuery, Delta Lake, Cosmos DB). Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Building efficient ML inference flow into production at scale. #MicrosoftAI Responsibilities Design and implement distributed, real-time pipelines that operate with high throughput and low latency, handling spiky and dynamic workloads across the globe. Build core platform components including rule execution engines, signal aggregators, and policy enforcement APIs that support human and automated decisions. Collaborate with ML engineers to support scalable inference integration while keeping systems modular, performant, and cost-efficient. Drive system-level improvements in observability, fault tolerance, and scalability. Lead technical design reviews, own key service components, and contribute to long-term architecture and platform evolution. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Adform focuses on an exploration of a vast amount of online advertising data, development of predictive and segmentation models to optimize campaign strategy towards the most meaningful inventory, audience and ad, fraud detection, and many others. You will be a vital part of the data scientist efforts, working in a cross-functional international Agile team, with other data scientists, engineers, product managers, and leaders located in multiple locations around the world. If you are hands-on passionate, crazy about a development of advanced algorithms, machine learning, statistics, Hadoop, Python and SQL, have an ownership mindset, love to work in teams with smart, informal and open people, we’d love to get to know you! Our focus is Big Data, High Load and challenging experiences with understanding and taking advantage from data in Ad-Tech industry. We hope you are ready to change the game! Be ready to: Apply advanced machine learning/statistical algorithms scalable to huge data sets to: Determine the most meaningful ad, served to the right user at the optimal time, and the best price Identify behaviours, interests and segments of web users across billions of transactions to find the most optimal audience for a given advertising activity Eliminate suspicious / non-human traffic Maintenance our products, support customers in analysing the reasons behind the decisions made by our algorithms and look for new improvements in the process of striving for their excellence Work closely with other Data Scientists, development, and product teams to implement algorithms into production-level software. Mentor less experienced colleagues. Contribute to identify opportunities for leveraging company data to drive business solutions Be an active technical challenger in the team for the purpose of mutual improvement and broadening of team and company horizons Design solutions and lead cross-functional technical projects from ideation to deployment Attitude First. Everything else will follow. We can grow together faster if you have: Minimum 1 year work experience in a similar senior position. Minimum 6 years experience in Data Science in total. Masters or PhD in a quantitative field such as Machine Learning, Computer Science, Applied Mathematics, Statistics or related. Excellent mathematical and statistical skills (statistical inference), experience in working with large datasets. Knowledge of data pipelines, ETL processes. Very good knowledge of multiply supervised and unsupervised machine learning techniques with math background and hands-on experience Great problem-solving and analytical skills. Ability to structure a large business problem into tractable and reasonable components, design and deploy scalable machine learning solutions Proficiency in Python, SQL Experience with big data tools (e.g. Spark, Hadoop) Adform‘s guiding principles ingrained in your profile: Focus on Client Value , Behave with Decency , Take Ownership , Care, Collaborateas a TeamPlayer , Remain Ambitious , and StandTall inall interactions Stand out by having: Knowledge of Ad Tech industry solutions Knowledge of web technologies Our promise to you: You will be a vital part of the data scientist efforts, working in a cross-functional international Agile team, with other data scientists, engineers, product managers, and leaders located in multiple locations around the world. A dynamic, inspiring, and international environment filled with ambitious and caring colleagues Premium health insurance with ₹10,00,000 coverage for you and your family 24 paid vacation days to enjoy life outside of work Paid maternity (6 months) and paternity (2 weeks) Annual learning budget to help you grow your skills and support continuous learning Rewarding referral program for helping us grow Global perks such as birthday gifts, work anniversaries, and company events to connect with colleagues and have fun And much more – join us to explore the full experience Diversity s Inclusion @Adform: Adform is an equal opportunity employer with a global perspective. We remain committed to creating an environment that not only respects different backgrounds but celebrates them too. We believe that diversity in all its forms enhances our teams’ creativity, innovation, and effectiveness, and therefore we value different backgrounds, perspectives, and skills. We are committed to creating a work environment where Adform employees feel valued for who they are and what they can contribute, free from any type of discrimination. Show more Show less

At Apple, new ideas have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don't just craft products - they build the kind of wonder that's revolutionised entire industries!. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Description We are seeking a highly skilled and motivated Machine Learning Engineer with a solid focus on Large Language Models (LLMs) and text processing. In this role, you will work on building, fine-tuning, optimising, and deploying LLMs for real-world applications. You'll also be responsible for generating scripts using LLMs, customising models using platforms like Ollama, and integrating them into robust applications. Design and implement solutions leveraging LLMs for text generation, understanding, summarisation, classification, and extraction tasks. Build pipelines to automate script generation for business or technical workflows using LLMs. Customise and fine-tune LLMs using domain-specific data with tools like Ollama and LoRA/QLoRA. Optimize LLMs for inference speed, accuracy, and resource efficiency (quantisation, pruning, etc.). Integrate LLM functionalities into end-user applications with a strong emphasis on usability and performance. Collaborate with product, design, and engineering teams to translate business requirements into ML-based solutions. Develop APIs and micro-services for model serving and deployment. Monitor model performance and implement continuous improvement and retraining strategies. Stay updated with the latest research and trends in the LLM space and propose innovative ideas. Minimum Qualifications 5+ years of experience in ML/NLP with a focus on large language models and text data with Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, FAISS). Strong programming skills in Python, including popular ML/NLP libraries (e.g., HuggingFace Transformers, PyTorch, LangChain). Experience with LLM customisation and fine-tuning (e.g., on GPT, LLaMA, Mistral, Mixtral) and Hands-on experience with Ollama or similar tools for local/custom model deployment. Demonstrable ability to optimize model performance for production environments. Solid grasp of REST APIs, application development, and software engineering standard processes. Preferred Qualifications Experience working with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus. Exposure to frontend/backend development for building LLM-powered dashboards or assistants. Understanding of MLOps, model versioning, and continuous improvement practices. Submit CV

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years of CPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years’ experience deploying digital and data science solutions on large scale project is required At least 7 years’ experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Who We Are Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. At Motive, our People Analytics team sits at the intersection of data science and talent strategy, transforming how we understand and enhance organizational performance. As a Data Scientist on our rapidly growing team, you'll leverage advanced analytics to tackle our most pressing talent challenges and drive measurable business impact. Role Description You'll pioneer the application of data science to human capital, building sophisticated models and research that decode organizational behavior and shape Motive's talent strategy. Your work will span critical areas including: Predicting and enhancing talent acquisition, development, and retention Quantifying and elevating employee experience Optimizing team performance Maximizing productivity Rethinking how we measure talent Human capital problems require particular attention to sample size impacts, covariance, selection bias, modeling choices, and other issues that can be the difference between highly meaningful & impactful results, and noise. In this role, you will leverage structured problem solving approaches and data science skills to identify and deliver high impact solutions, as well as develop unique data science skills and human-capital expertise. The Ideal Candidate Is Passionate about human capital: You are excited by the value we can add to our company and our employees, and are inspired to help make a large positive impact Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with network analysis, clustering, classification, time series, and sentiment analysis. Required Qualifications Bachelor's degree in Data Science, Statistics, Economics, or related quantitative field Background in organizational psychology or behavioral economics 3+ years of experience applying advanced analytics in people analytics, HR, or workforce planning Expert proficiency in Python or R, and SQL Proven track record of building and deploying machine learning models Experience with statistical analysis, experimental design, and causal inference Strong project management skills with demonstrated ability to lead complex analytical initiatives Excellent communication skills - ability to translate complex analyses into actionable insights for diverse stakeholders Preferred Qualifications Master’s or PhD in a quantitative field or equivalent practical experience Experience with Organizational Network Analysis Experience in visualization tools (e.g., Tableau, PowerBI) Experience with natural language processing and unstructured data analysis Track record of publishing or presenting analytical work Familiarity with HR systems and people data structures Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. Show more Show less

Role Overview We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc. Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects. Show more Show less

Role Overview We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc. Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects. Show more Show less

Summary Plan, design, organize, conduct and evaluate managerial, supervisory, and staff training programs. Provide employees with effective training solutions to support strategic initiatives identified in collaboration with the organization’s management team. Assess the effectiveness of training solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Identify training needs within the organization. Identify critical skills associated with each functional or workcell managerial position. Identify specific voids in training. Recommend effective training solutions. Create and implement effective evaluation tools to measure effectiveness of training. Deliver classroom training. Develop and maintain a core curriculum of supervisory training. Partner and involve organizational leadership in the facilitation of curriculum. Effectively use adult learning principles to maximize effectiveness of training. Continue to develop and demonstrate effective instructor competencies. Relate course material to actual on the job tasks and ensure development of these competencies. Provide coaching and follow up to all learning events. Relate course material to actual on the job tasks and ensure development of these competencies. Achieve overall high satisfaction ratings (9.0/10.0 standard). Follow all ISO and department procedures. Provide organizational development solutions. Assess organizational effectiveness and develop improvement plans. Demonstrate business insight and provide solutions in response to individual and team needs. Provide team development support to functional and workcell teams. Create functional or workcell specific orientation plans, in conjunction with leadership, which support new employees in the business. Produce and maintain Education & Training Matrix’s for functional areas that you support. Produce and maintain training records in our Learning Management System with 100% accuracy. Input appropriate data into training records. These records should include but not be limited to, documentation of actual training, tests scores, certification and re-certification processes etc. Complete all administrative functions relating to training classes. Follow established administrative procedures. Program development. Set up and maintain a leadership development program for employees in lower level positions to strengthen existing skill or develop potential. Formulate learning objectives. Select or develop instructional methods, training aids, manuals and other materials. Develop lesson plans and instructor notes to meet needs of learners. Design handouts and class materials to support training: Evaluation forms Quizzes/tests/hands-on assessments Certifications Research and review external training programs and materials to provide the best solution. Evaluate training solutions. Training Projects & Staff Meetings. Complete within annual time line 2 major projects. Attend and input to support Staff Team meetings. Follow all department procedures. Adhere to all safety and health rules and regulations associated with this position and as directed by manager. Comply and follow all company procedures. Minimum Requirements Bachelor’s degree in Human Resources or related field preferred; and one to three years experience in Training capacity. DDI Facilitation Certification preferred. Language Skills Ability to read and interpret documents such as safety rules, operating and maintenance instructions and procedure manuals. Mathematical Skills Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 15lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area. The noise level in this environment ranges from low to moderate. , BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in. Show more Show less

Roles & Responsibilities Core Skills Key Responsibilities Lead OT architecture design for mining operations, including drilling, hauling, crushing, stockpiling, processing, and transportation. Design hybrid (on-prem + edge + cloud) solutions that handle poor connectivity, latency, and harsh physical environments. Architect integration between OT and enterprise systems (e.g., ERP, fleet management, historian, CMMS). Work closely with business analysts to ensure technical solutions align with operational workflows and business goals. Select and implement appropriate technologies (e.g., MQTT, OPC-UA, edge gateways, cloud connectors). Design OT architectures that enable deployment of AI/ML models at the edge, on-premises, and in the cloud for applications such as predictive maintenance, equipment health monitoring, and operational optimization. Collaborate with data scientists and AI/ML engineers to ensure appropriate data capture, preprocessing, and feature engineering from OT systems (SCADA, PLCs, condition monitoring sensors, etc.). Integrate AI-driven analytics and insights into operator dashboards and IROC visualizations, ensuring actionable intelligence for mining operations. Support model lifecycle considerations in OT environments—edge inferencing, model updates, offline inference, and fail-safe design. Ensure designs are scalable, secure, fault-tolerant, and compliant with industrial security standards (IEC 62443, NIST CSF). Guide the development and deployment of monitoring systems for IROC-based centralized operations. Required Skills And Qualifications 8–10 years of experience in architecting OT solutions for mining operations, particularly in open-pit mining. Deep expertise in OT components: SCADA, PLCs, DCS, telemetry, real-time data acquisition, condition monitoring. Knowledge of industrial communication protocols (OPC UA, Modbus, PROFINET, MQTT). Experience with edge computing platforms (e.g., Azure IoT Edge, AWS IoT Greengrass) and industrial gateways. Proven ability to design solutions tolerant of intermittent connectivity, high latency, and remote geographies. Working knowledge of AI/ML use cases in industrial and mining operations, such as predictive maintenance, equipment utilization analysis, energy optimization, and safety anomaly detection. Familiarity with deployment of AI models on edge platforms (e.g., NVIDIA Jetson, Azure IoT Edge, AWS Greengrass) and their integration with OT systems. Experience designing OT data pipelines to support real-time and historical data needs for AI analytics. Strong understanding of IT/OT convergence principles and industrial cybersecurity. Minimum 3 years of direct experience working with or for a mining organization, with a solid understanding of mining operational challenges. Education Bachelor’s or Master’s in Computer Science, Control Systems Engineering, or relevant fields. Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): AI/ML Architecture, TensorFlow, Pytorch About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Sanas is revolutionizing the way we communicate with the world’s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we’ve successfully secured over $100 million in funding. Our innovation have been supported by the industry’s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you’re not just adopting a product; you’re investing in the future of communication. We’re looking for a sharp, hands-on Data Engineer to help us build and scale the data infrastructure that powers cutting-edge audio and speech AI products. You’ll be responsible for designing robust pipelines, managing high-volume audio data, and enabling machine learning teams to access the right data — fast. As one of the first dedicated data engineers on the team, you'll play a foundational role in shaping how we handle data end-to-end, from ingestion to training-ready features. You'll work closely with ML engineers, research scientists, and product teams to ensure data is clean, accessible, and structured for experimentation and production. Key Responsibilities : Build scalable, fault-tolerant pipelines for ingesting, processing, and transforming large volumes of audio and metadata Design and maintain ETL workflows for training and evaluating ML models, using tools like Airflow or custom pipelines Collaborate with ML research scientists to make raw and derived audio features (e.g., spectrograms, MFCCs) efficiently available for training and inference Manage and organize datasets, including labeling workflows, versioning, annotation pipelines, and compliance with privacy policies Implement data quality, observability, and validation checks across critical data pipelines Help optimize data storage and compute strategies for large-scale training Qualifications : 2–5 years of experience as a Data Engineer, Software Engineer, or similar role with a focus on data infrastructure Proficient in Python, SQL, and working with distributed data processing tools (e.g., Spark, Dask, Beam) Experience with cloud data infrastructure (AWS/GCP), object storage (e.g.,S3), and data orchestration tools Familiarity with audio data and its unique challenges (large file sizes, time-series features, metadata handling) is a strong plus Comfortable working in a fast-paced, iterative startup environment where systems are constantly evolving Strong communication skills and a collaborative mindset — you’ll be working cross-functionally with ML, infra, and product teams Nice to Have : Experience with data for speech models like ASR, TTS, or speaker verification Knowledge of real-time data processing (e.g., Kafka, WebSockets, or low-latency APIs) Background in MLOps, feature engineering, or supporting model lifecycle workflows Experience with labeling tools, audio annotation platforms, or human-in-the-loop systems Joining us means contributing to the world’s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. You'll be part of a team exploring the vast potential of an increasingly sonic future Show more Show less

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years of CPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years’ experience deploying digital and data science solutions on large scale project is required At least 7 years’ experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Show more Show less

We’re hiring Data Analytics Interns who can work independently on real-world problems using structured thinking and data-driven insights. This challenge reflects how we work: starting from problem understanding to delivering actionable outcomes. Your Challenge Choose one of the following real-world problem statements and perform a full data analysis project. Choose one Topic from below : Food Waste Optimization in Supermarkets School Dropout Risk Analysis Smart Water Usage in Urban Homes City Budget Allocation vs Public Outcomes Fake Product Detection in Online Marketplaces Gender Bias in Hiring or Promotions 7. Public Transport Impact on City Pollution Follow This Analysis Flow To reflect a real analytics pipeline, your project should include the following: 1. Problem Framing & Hypothesis Define the problem clearly Set goals, KPIs, and any testable hypotheses 2. Descriptive Analysis Clean and prepare your data Explore distributions, trends, and correlations using visual and statistical summaries Present key patterns and summaries 3. Diagnostic Analysis Go deeper: compare groups, segment users/items, identify anomalies Explore potential reasons behind trends or behaviors 4. Inferential or Predictive Analysis Apply relevant models (e.g., classification, regression, clustering, statistical inference) Evaluate performance and interpret the model output If no modeling is needed, include strong inferential reasoning 5. Prescriptive Insights Translate your findings into clear recommendations Suggest strategies, optimizations, or interventions based on your analysis 6. Storytelling & Delivery Use visuals and simple language to communicate your work Summarize your conclusions for both technical and non-technical audiences What to Submit A Jupyter Notebook (or Excel / Power BI / Tableau Dashboard) A 1–3 page PDF Report summarizing your work and recommendations (Optional) Link to GitHub or Google Drive folder with full project files Where to Find Data You may use open datasets from or any legitimate dataset you find in Internet: Kaggle OpenAQ Amazon Reviews Dataset OpenBudgets.eu World Bank & UNESCO Education Data Or simulate data based on realistic assumptions Submission Instructions Email to: info@gigaversity.in Subject Line: Data Analytics Internship – [Your Name & resume ] Deadline: 22nd June -2025 - for any extensions please write a detailed email on the project and explaining the delay in submission we will consider . Top Candidate will receive A paid internship offer A chance to work on real business or policy challenges Potential full-time opportunity based on performance in 6 months Show more Show less

Job Title: AI- LLMOps Engineer Job Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Catalyst team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures. Position Overview We are seeking a skilled LLMOps Engineer with expertise in operationalizing Generative AI solutions to join our AI Engineering Center of Excellence. This role will focus on establishing robust infrastructure, deployment pipelines, and monitoring systems to ensure the reliable, secure, and scalable delivery of LLM-based applications in production environments. The LLMOps Engineer will work closely with AI Tech Leads and Senior Engineers to bridge the gap between development and production deployment of GenAI solutions. Primary Responsibilities Design and implement infrastructure and deployment pipelines for large language model (LLM) applications in production environments Establish monitoring, observability, and logging systems for GenAI applications to ensure performance, reliability, and data quality Develop automated testing frameworks specific to LLM applications, including evaluation of model outputs and prompt effectiveness Implement version control systems for models, prompts, and configurations to ensure reproducibility and traceability Create and maintain CI/CD pipelines for seamless deployment of GenAI solutions Optimize infrastructure and implementations for cost efficiency, considering compute resources and API usage Implement security controls and compliance measures specific to GenAI applications Collaborate with development teams to establish best practices for transitioning GenAI solutions from prototype to production Automate feedback loops for continuous improvement of deployed models Document operational procedures, architecture decisions, and maintenance protocols Required Qualifications 5+ years of experience in DevOps, platform engineering, or related roles with at least 2+ years focused on ML/AI systems Hands-on experience with cloud infrastructure and services for AI workloads (AWS, Azure, GCP) Strong programming skills in languages commonly used for infrastructure and automation (Bash, YAML) Experience with containerization and orchestration technologies (Docker, Kubernetes) for AI workloads Knowledge of LLM deployment patterns and associated infrastructure requirements Familiarity with monitoring tools and techniques for AI systems (e.g., model performance, drift detection, cost tracking) Understanding of CI/CD principles and experience implementing automated pipelines Experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.) Basic understanding of LLM architectures and their operational requirements Bachelor's degree in Computer Science, Engineering, or related technical fieldd Preferred Skills Experience deploying and managing production LLM applications at scale Knowledge of vector database operations and optimization for RAG implementations Familiarity with API gateway management and rate limiting strategies Experience with distributed tracing and debugging complex AI systems Understanding of data privacy, security, and compliance considerations for GenAI applications Knowledge of cost optimization techniques for LLM inference and embedding generation Experience with feature flagging and A/B testing frameworks for AI applications Familiarity with LLM evaluation metrics and automated testing approaches Experience with GPU resource management and optimization Success Factors Strong technical curiosity and willingness to explore new GenAI capabilities Balance between operational excellence and enabling rapid innovation Strong problem-solving skills for troubleshooting complex production issues Effective communication across technical and non-technical stakeholders Proactive approach to identifying and mitigating operational risks Ability to translate business requirements into operational specifications Commitment to continuous improvement of operational processes Adaptability to rapidly evolving GenAI technologies and deployment patterns Location: IND Work-at-Home Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1598486 Show more Show less

Nielsen is seeking an organized, detail oriented, team player, to join the Engineering team in the role of Machine learning Engineer . Nielsen’s Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible to define, develop, test, analyze, and deliver technology solutions within Nielsen’s Collections platforms. Qualifications: Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Responsibilities: Bachelor's degree in Computer Science or equivalent degree 6+ years of software experience Experience with Machine learning frameworks and models The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place – and be responsible for the latency of the services Data quality checks & onboarding the data on to the cloud for modeling purposes Prompt Engineering, FT work, Evaluation, Data End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, Platform Engineering Comfort in Python and Java is highly desirable The ML Engineer will head the ML engineering for a pod and be the technical leader for all ML/AI Engineering issues in a delivery pod Show more Show less

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Senior Specialist - Indirect Procurement Sourcing in Chennai, India. The Senior Specialist will be based in Chennai. Will be responsible for Indirect procurement operations, specialized in handling MRO / EDM / Facilities / Construction / New Building Projects Procurement, RFQ to support factory & GBS operation, execution of the strategic sourcing process and global policy compliance, setup goals and lead team to drive to achieve them, coach and develop talents. What a typical day looks like: Typically requires an Engineering degree in a related field. A minimum of 5 years of material and manufacturing experience, preferably from Manufacturing Industry (Automobile, Electronics Manufacturing) Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups, and/or boards of directors Ability to work with mathematical concepts such as probability and statistical inference to practical situations Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables The experience we’re looking to add to our team: 5 years+ working experience in manufacturing Sector (not service/consultant/trading company) Familiar with international company culture Dedicated role in supply chain management, including 3 years plus working experience in indirect procurement of MRO / EDM Facilities / Construction Projects Financial knowledge and cost management sense Working knowledge in ERP systems What you’ll receive for the great work you provide Health Insurance PTO #RA01 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first). Show more Show less

Description Are you fascinated with the idea of creating a digital representation of the world? What about building learning systems to create the most precise and accurate representation? Join the Geospatial team to build Maps for Amazon. We build learning systems to identify road networks, POIs, and geocodes of addresses worldwide. Our delivery operations use these systems to determine the locations and plan the routes for delivery. Drivers use these systems to navigate to the delivery locations. Our mission is to vend geospatial data (e.g. maps, traffic, addresses, and locations/geocodes) that is detailed and fresh through an intuitive experience that enables every driver – independent of tenure and affinity – to succeed in their delivery tasks. We are not creating another consumer-grade mapping solution, we are building systems that enable depth focused solutions. For example, we are interested in not only getting a person to an address like 300 Boren Ave N, we are also interested in guiding them where to park, where the building entrance, find out if there is a mailing room in the building that is open at that time, and guide them to alternative delivery location at the customer unit based on various factors. The level of detail we provide on the delivery journey is leading in the mapping industry. Our geocodes also dictate how to optimally group the packages for that stop based on proximity and walk times, which significantly impacts route plan and stop plan efficiencies. Several of these problems require us to build systems that can work with an ensemble of ML models as well as support the right segmentation of inputs to make good estimates on the outputs. There are several unsolved or partially solved problems in this space; such as parsing and managing both structured and unstructured addresses in various countries, modeling building entrances and unit access in multi-unit buildings, optimal polygonal geofence guardrails, and multiple delivery locations with business and transportation mode awareness. The technical domain is multi-faceted. We build low-latency, highly-available services, we build big data processing pipelines to refresh or produce new data, we train ML models, and we run science experiments. We also build solutions for these capabilities, ranging from state-of-the-art ML platforms (including generative AI) to modeling, storing, vending, and managing large amounts of data. Our key output metrics include location accuracy, coverage, and predictive accuracy of service and transit estimates. We also measure the operational impact of these inputs on delivery success and transporter experience. If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities Participate in the design, implementation, and deployment of successful large-scale systems and services in support of our transportation operations and the businesses they support. Participate in the definition of secure, scalable, and low-latency services and efficient physical processes. Work in expert cross-functional teams delivering on demanding projects. Functionally decompose complex problems into simple, straight-forward solutions. Understand system inter-dependencies and limitations. Share knowledge in performance, scalability, enterprise system architecture, and engineering best practices. A day in the life Collaborate with engineering and science teams on building state-of-the-art scalable, big data pipelines, ML training and inference solutions, high-availability services with low latencies. Analyze nuanced metrics to understand system behavior and innovate on solutions to optimize our success metrics. Play a key role in the technology that empowers the delivery of millions of smiles every day around the world. About The Team The broader Geospatial organization covers Amazon Maps, driving and walking time estimation and the transporter navigation experience. This team focuses on destination related data and locations for parking, building entries, delivery locations and other waypoints throughout the transporter delivery journey, and how they relate to places, floors and building layouts. We build systems that learn, ingest, rank and vend data related to locations. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience in Geoapatial domain or building and operation data-intensive systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A2984219 Show more Show less

Description The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive engineers to play a pivotal role in the development/maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). AGI team's mission is to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world. We believe in “Work Hard. Have Fun. Make History” value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. You will be required to deeply understand technology landscapes, and evaluate the use of new technologies. You will be influential within your team and work with peers and senior leaders to define and revise the standards for operational excellence across systems. You will consistently tackle abstract issues that span multiple functional areas and drive your team to push for improvements that can scale across other teams, services, and platforms. Key job responsibilities Provide support for cluster and node management, ensuring smooth operation of LLM infrastructure. Continuously improve and automate our cluster/capacity/maintenance upgrades. Develop automation tools for improving operational excellence. Work on operations and maintenance driven coding projects, primarily in Ruby, Rails, Java, Python, or shell scripts, AWS, web technologies projects. Should have hands-on experience in Kubernetes and expertise in different AWS services. Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure. Participate in design and code reviews and identify bottlenecks. Troubleshoot and research root causes throughly and resolve defects. Basic Qualifications 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust Experience with Linux/Unix Experience with CI/CD pipelines build processes Preferred Qualifications Experience with distributed systems at scale Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A2965675 Show more Show less

Data Scientist - Automotive Research Gurgaon, India; Bangalore, India Information Technology 314773 Job Description About The Role: Grade Level (for internal use): 09 S&P Global Mobility The Role: Senior Data Scientist The Team: We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line’ data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact: We are seeking a motivated and talented Senior Data Scientist to create new AI algorithms and/or improve our current machine learning algorithms, while exploring the potential of GenAI and LLMs to enhance our data collect, data source mapping, and information inference capabilities. This role will directly contribute to our ability to deliver more accurate and timely forecasts to our clients, solidifying S&P Mobility's position as the leader in automotive market intelligence. What’s in it for you: Engage with cutting-edge AI and ML technologies to solve complex forecasting challenges and drive innovation in automotive market intelligence. Lead the development and implementation of advanced analytical models (pricing, demand, specifications), enhancing your expertise and contributing significantly to the product's value. Directly influence forecasts provided to market-leading clients in the automotive sector, gaining exposure to their critical data and business challenges. Benefit from a collaborative environment with opportunities to mentor talent, fostering both your technical leadership and the growth of the team. Responsibilities: Advanced Pricing Analytics: Develop and implement machine learning models to analyse vehicle and powertrain pricing trends, predicting future price points with high accuracy. Create sophisticated algorithms to assess the impact of various factors (e.g., market conditions, competitor pricing, etc.) on vehicle pricing. Refine our forecast system to incorporate these advanced pricing analytics, enhancing the overall forecast precision considering price elasticity. Forecasting Modeling: Improve the performance of current machine learning models (XGBoost) Develop and optimize algorithms for predicting vehicle demand based on historical data, market trends, and pricing information. Develop algorithms for predicting vehicle specifications, like dimension or mass. GenAI and LLM Exploration: Investigate and implement LLMs for efficient data collecting from diverse sources, improving the breadth and depth of our data collection Develop solutions for better mapping, filling, and structuring our data with source information, ensuring data integrity and consistency, ultimately streamlining our data acquisition and analysis processes. Collaboration & Mentorship: Collaborate closely with product teams, business stakeholders, ML Engineers, and Data Engineers to ensure smooth integration of models into production systems. Mentor talent ML Engineer and Data Engineer in fostering their professional growth and development. Communication: Communicate complex technical concepts to non-technical stakeholders. Contribute to the documentation of ML models and processes. What We’re Looking For: Master’s in Data Science, Computer Science, Statistics, or a related field. Minimum 7+ years of professional experience in data science, with a proven track record of developing and deploying machine learning models. Strong proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with Generative AI and Large Language Models (LLMs), including data collection, text analysis, and information retrieval. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data engineering tools Strong communication and collaboration skills. Experience in the automotive sector is a plus. About Company Statement: S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand today’s market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 314773 Posted On: 2025-05-13 Location: Gurgaon, Haryana, India

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less