2079 Reinforcement Jobs - Page 32

Client Assessment: Evaluating clients' current fitness levels, health conditions, and goals to create tailored workout plans. Program Development: Designing exercise programs that include strength training, cardiovascular workouts, and flexibility exercises. Instruction and Demonstration: Clearly explaining and demonstrating exercises, ensuring proper form and technique to prevent injuries. Monitoring and Adjustments: Observing clients during workouts, providing feedback, and modifying programs as needed based on progress and any physical limitations. Safety and Hygiene: Enforcing safety rules, ensuring proper use of equipment, and maintaining a clean and organized workout environment. Motivation and Support: Encouraging clients, providing positive reinforcement, and helping them stay motivated to achieve their fitness goals. Nutrition and Lifestyle Advice: Offering guidance on healthy eating habits, sleep hygiene, and other lifestyle factors that contribute to fitness. Administrative Tasks: Managing client schedules, tracking progress, and potentially handling marketing and sales of fitness packages.

Job Description Business planning Identify potential locations in assigned geographical locations & recruit right team members to develop business ( IMD recruitment , partner tie-ups ) generated from the location. Design business plan for driving sales and achieving set topline and bottom-line targets for locations being managed Provide team members the required support in terms of guidance on business matters/ solutions for challenges faced etc. to ensure that they are equipped to deliver targets while optimizing turnaround time Drive business for the assigned cluster by leveraging on functional run campaigns , incentive plans to ensure team exhibit right behavior & to increase number of customers converted in markets managed Intermediary & Relationship Management Identify focus areas/ target customer segments for team members / key intermediaries and guide them to maximize revenue generated from identified target segments including cross sell and resolve business issues, if any Analyze performance of team members in various LOB’s and enable development of product portfolios for them accordingly to ensure maximization of lead/ revenue generated by each team member. Provide inputs to training team & central support team in designing and driving campaigns/ trainings programs for team members to develop their knowledge of specialized products (like indemnity , non-indemnity & travel.) and enhance their sales capabilities Orient new teams members with functional initiatives , business enabler inputs , incentive plans , distribution strategy , digital platforms for wider reach to build distribution team within 15 days of joining. Design and run engagement/ recognition programs at local level for intermediaries to ensure they are appropriately incentivized and motivated to drive business for BAGIC Approve IME’s / IMO’s onboarding , as proposed / identified by team member , based on the standard profile & business potential. Manage relationship with IME’s / IMO’s to understand their requirements, resolve any challenges faced by them and keep them engaged to drive high sales and business Plan business development activities to attract customer segments like planning sales activity at corporates, housing societies, health camps, by collaborate internally with concerned teams & externally with appropriate authority for approvals to enable sales team to execute plan. Provide input to zone head in design of new products/ revisions required in existing products basis feedback from intermediaries / Channel Partners (based on their market understanding) Team Review, Monitoring & Support Review functional metrics and quality of portfolio across each agent segment and support the team with actuarial and underwriting inputs to improve the quality of portfolio Ensure every team member is visited at respective location twice a month & key IMD’s / IME / IMO’s met during location visit to discuss business development & address issues / concerns, if any Ensure all team members are registering requisite sales call / meetings through Goal Sheet application & monitor quality of sales meetings registered & share feedback with team members. Provide guidance to all team members to course correct in case of deviations from planned targets Present business status to Vertical Head Health Insurance Geo/ NHOD during periodic reviews Address operational issues, policy issuance support , EezeTab concerns, interdepartmental conflicts raised by team members to ensure seamless business acquisition. Team Development Identify the right talent for various positions within team to ensure creation of engaged team Enable training needs identification and ensure periodic trainings for all stakeholders – team members, agents etc. to ensure everyone is up to date with product and process advancements Oversee rewards and recognition within team to ensure engagement and reinforcement of right behaviors among employees and agents Establish individual performance expectations and evaluation metrics, and regularly review individual performance Identify and create development opportunities for team members to enhance functional knowledge

Looking for a Freelance Agentic AI Engineer to join a team of rockstar developers. The candidate should have a minimum of 4+ yrs. of experience. There are multiple openings. If you're looking for freelance/ part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers). Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q2 2025. Responsibilities: Architect and develop agentic AI systems capable of reasoning, planning, and tool usage. Integrate with frameworks like LangChain, Auto-GPT, CrewAI, or custom orchestration layers . Implement memory, goal-setting, and long-term task tracking systems for agents. Connect agents with APIs, databases, web interfaces, and external tools. Design and run experiments to test performance, improve accuracy, and reduce hallucinations. Collaborate with product/design teams to shape user interaction with AI agents. Requirements: Strong understanding of LLMs (GPT-4, Claude, etc.) , prompt engineering, and token context management. Hands-on experience with agentic AI frameworks like LangChain, Auto-GPT, BabyAGI, CrewAI, etc. Proficiency in Python and experience with vector databases (like Pinecone, Weaviate, FAISS). Familiarity with retrieval-augmented generation (RAG) , tool calling, and multi-agent coordination. Creative problem-solver with a mindset for experimentation and iteration. Experience deploying models via APIs or embedding AI into real-world apps. Nice to Have: Experience working with voice or multimodal agents (text + image + audio). Familiarity with knowledge graphs, semantic search, or planning algorithms. Exposure to Reinforcement Learning or feedback-based agent tuning. What we need -~35 hours of work per week. -100% remote from our side -You will be paid out every month. -Min 4yrs of experience -Please apply only if you have a 100% remote job currently -If you do well, this will continue for a long time

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Basic Information Role Title: Senior AI/ML Engineer Required Technical Skillset : Python, Java/Scala/Golang, ML frameworks at least one (TensorFlow/PyTorch), MLOps, Microservices, Cloud at least one (Azure/AWS/GCP), LLM/Generative AI Work Location: Gurugram Work Experience : 5-7 years About the Team and Role The AI Engineering and Solutions team at the Super-app is responsible for building and deploying next-generation AL Platform and intelligence data solutions across various consumer products and services on the Super-app platform. We engage closely with cross-functional teams—Product, Engineering, Marketing, Data Science, Customer Experience, and more—to drive data-informed strategies and deliver cutting-edge ML Platform advance data capabilities including Generative AI and LLM (Large Language Model) solutions for customer-facing applications. We are currently seeking a Senior AI/ML Engineer with 5-7 years of experience. The ideal candidate will excel in designing and implementing scalable ML pipelines, integrating MLOps best practices, architecting microservices for low-latency model serving, and leveraging LLM-based techniques (including fine-tuning and agent development) to build advanced AI solutions. You will be instrumental in building a full-stack ML platform that supports a variety of high-impact AI initiatives. Key Responsibilities ML Platform Development Architect and develop end-to-end ML pipelines for data ingestion, model training, and deployment at scale. Implement scalable and secure infrastructure on Azure/AWS/GCP using IaC (e.g., Terraform, CloudFormation). Model Engineering & MLOps Collaborate with data scientists to productionize ML/DL models, including Generative AI/LLMs . Set up and manage automated CI/CD pipelines for model versioning, testing, deployment, and monitoring (e.g., MLflow, Kubeflow). Fine-tune large language models on domain-specific data and optimize for real-world scenarios (e.g., prompt engineering, RAG, agent-based architectures). Microservices & API Develop high-performance microservices in Java/Scala/Golang or Python for real-time model inference. Containerize services using Docker and orchestrate them via Kubernetes for scaling and reliability. Integrate APIs that deliver low-latency, customer-facing AI features (e.g., chatbots, generative text/image solutions). Performance & Scalability Optimize ML systems for low-latency applications and high-throughput services, particularly for LLM-based endpoints. Implement caching, load balancing, and auto-scaling strategies to handle large-scale traffic. AI/LLM Innovation Stay current with state-of-the-art LLM, Generative AI, and agent-based technologies to drive continuous innovation. Experiment with advanced techniques (e.g., reinforcement learning from human feedback, multi-modal embeddings) to enhance platform capabilities. Customize GPT/LLM for specific use cases using Continued Pre-Training (CPT) or Instruction Fine Tuning (IFT). Product & Business Enablement Work with product managers and business stakeholders to shape the AI/ML roadmap, ensuring alignment with strategic objectives. Translate complex technical solutions into clear business value propositions and drive ROI analysis for ML initiatives. Collaboration & Cross-Functional Engagement Partner with engineering, data, and business teams to integrate AI/ML solutions seamlessly into the Tata Neu ecosystem. Provide technical mentorship, best practices, and leadership to junior engineers and data scientists. Competencies for the Role Educational Background B.Tech/BE/M.Tech or equivalent in Computer Science, Data Science, or a related field. Technical Expertise Programming : Expert in Python and at least one of Java/Scala/Golang for building robust microservices. ML & LLM Frameworks : Hands-on experience with TensorFlow, PyTorch, or Scikit-learn; familiarity with LLM fine-tuning and associated libraries (e.g., Hugging Face). Cloud & DevOps : Proficiency in cloud platforms (Azure/AWS/GCP) and container orchestration (Kubernetes, Docker). Data Processing : Familiarity with Spark/Kafka or similar technologies for large-scale or real-time data workflows. Generative AI, Agents and RAG: Experience of building applications with LangChain, LangGraph, LlamaIndex and similar frameworks and libraries. Exposure to Vector Databases, Embedding Models, and Semantic Similarity Search. Expertise in advanced Prompt Engineering and Retrieval Augmented Generation (RAG) techniques for working with structured and unstructured data. Experience in applying AI to practical and comprehensive technology solutions, and developing and deploying machine learning systems into production. MLOps & Automation Experience in setting up CI/CD pipelines, model registries, and feature stores. Knowledge of best practices for model monitoring, logging, and drift detection. Analytical & Problem-Solving Skills Ability to design experiments, interpret complex data, and create actionable insights. Familiarity with advanced statistical and ML techniques, including advanced NLP, LLM fine-tuning, and agent-based AI. Product & Business Acumen Proven track record of delivering ML solutions that impact business metrics and user experience. Capable of balancing technical trade-offs with product requirements and ROI considerations. Communication & Leadership Strong written and verbal communication skills for stakeholder alignment. Demonstrated ability to lead projects and mentor cross-functional teams.

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter) Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API) Familiarity with prompt engineering and structured evaluation of generative outputs Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Career Family Risk Management Services Role Type Senior Associate Senior Associate - Risk Management Services At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. This is a role that requires incumbent to own & execute a variety of global processes related to compliance management across Service Lines and various workstreams in EY. The candidate should be comfortable working in an unstructured & complex environment requiring out of the box thinking, logical reasoning, sound verbal & written communication skills, ability to make prompt yet well informed decisions. The Opportunity Join our Global Compliance team, which supports the Global Risk Management in Compliance Management. This is an exceptional chance to be part of a leading firm and play a pivotal role in enhancing the standard compliance framework. This role offers an opportunity to contribute significantly to the firm's compliance framework and enforce quality standards and spearhead process-related improvements. We are seeking a Senior Associate responsible for monitoring of adherence to compliance standards and assisting in other process-related requirements. Your Key Responsibilities: Technical expertise Support in the execution and reinforcement of compliance standards across the firm. Drive the continuous improvement of the compliance framework in collaboration with cross-functional teams. Proactively identify and resolve complex compliance-related issues, providing expert guidance. Oversee the creation and refinement of process documentation and compliance procedures. Develop, review, and update process documentation and compliance procedures (as required). Conduct compliance monitoring activities to ensure consistent adherence to internal policies and regulatory mandates. Skills and Attributes for Success: Demonstrated expertise in compliance and risk management. Advanced analytical skills with a strong focus on accuracy and detail. Proven track record in compliance, risk management Strong analytical skills with a meticulous attention to detail. A collaborative mindset and the ability to work well within a team. To Qualify for the Role, You Must Have: Post-graduate or equivalent degree from a reputed institute At least 3 years of professional experience in a compliance role within a risk management framework. Deep understanding of global compliance regulations and the skill to implement them effectively in a business setting. Ideally, You’ll Also Have: A proven track record in leading compliance program development and execution. Experience in project management, with a history of driving process enhancements and operational efficiencies. Technologies and Tools Proficiency with industry-standard compliance management systems and tools. Experience with data analysis and reporting software. Knowledge of document management systems and best practices. Familiarity with risk assessment tools and methodologies. Eagerness to understand Service Quality Management (SQM) systems. What You Can Look For: A dynamic team environment with opportunities for professional growth. Exposure to global risk management initiatives. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across five countries – Argentina, China, India, the Philippines, and Poland – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career. Continuous Learning: You’ll develop the mindset and skills to navigate whatever comes next Success As Defined By You: We’ll provide tools and flexibility, so you can make a meaningful impact Transformative Leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs Diverse and Inclusive Culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Advertising Cloud Adobe Advertising is a combination of a ‘Demand Side Platform (DSP)’ and a ‘Spend Optimizer’ that helps customers plan, buy, measure, and optimize their digital media (across CTV, Online Video, Display, Search, Social, and Retail Media Networks). We help the largest global advertisers maximize the impact of their paid media budgets by delivering connected and personalized experiences to their consumers. The Opportunity This opportunity is with the Spend Optimizer group. In collaboration with a team of highly motivated data scientists and engineers, you will apply reinforcement learning, time series analysis, bayesian modeling, Gen AI frameworks to optimize ad spends and drive the best user experiences. What you'll Do Technically lead and guide team of skilled machine learning engineers to design and implement ML algorithms/models Collaborate with multi-functional teams to determine technical requirements Develop and deploy scalable machine learning solutions that optimize Adobe’s products and services, deliver value to clients and drive customer adoption Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive Monitor and evaluate the performance of ML models, making vital adjustments to compete at the highest level What you need to succeed Outstanding knowledge of machine learning frameworks and tools such as PyTorch, Tensorflow, Scikit-learn, with strong programming skills in Python Solid understanding of core machine learning and statistics, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization Experience in developing, deploying and maintaining ML models in a production environment Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas Ideal Candidate Profile: About 10 years of experience in an applied Machine Learning setting, delivering cloud-scale, data-driven products, and services PhD or Master’s in Computer Science/ Applied Math/Statistics/ related field. Experience and domain expertise in Digital ad technologies is desirable. Comfort with ambiguity, adaptability to evolving priorities, and an ability to influence technical and non-technical collaborators A very strong problem solving and execution ability, ability to innovate, and focus on delivering value to Adobe customers, can compensate for any of the above requirements. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

We are looking for a talented Python AI/ML Developer with a strong foundation in machine learning, natural language processing, and data science. If you have a passion for building smart, conversational AI systems and want to work on cutting-edge technology, we’d love to hire you! Benefits 5 Days a Week Health Insurance Flexible Timings Open Work Culture Workshops & Webinars Awards & Recognition Festive Celebrations Key Responsibilities Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges. AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs. Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses. Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs). Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing. Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices. Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization. Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions. Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team. Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value. Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability. Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services. Technical Skills Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing. Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL. Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage. MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation. Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment. AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude. AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications. Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation. Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences. Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Experience : 3-5 years specializing in deep learning, including extensive experience in PyTorch and TensorFlow. Industry Expertise: Experience in finance, manufacturing, healthcare, or retail sectors. Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models. Location: Ahmedabad Reporting to: Project Manager

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Company Overview : At Growth Loops Technology, we are at the forefront of AI innovation, leveraging cutting-edge machine learning and natural language processing (NLP) techniques to build transformative products. We are looking for an experienced and passionate LLM Engineer to join our team and help us develop and optimize state-of-the-art language models that push the boundaries of what's possible with AI. Job Description : As an LLM Engineer, you will be responsible for designing, building, and fine-tuning large-scale language models (LLMs) to solve complex real-world problems. You will work alongside data scientists, machine learning engineers, and product teams to ensure our models are not only accurate but also efficient, scalable, and capable of handling diverse use cases. The ideal candidate will have a strong background in natural language processing, deep learning, and large-scale distributed systems. You should be passionate about advancing the field of AI and have hands-on experience with LLMs, such as GPT, BERT, or similar architectures. Key Responsibilities : Model Development : Design, develop, and fine-tune large language models (LLMs) for various applications, including text generation, translation, summarization, and question answering. Research & Innovation : Stay up to date with the latest advancements in NLP and LLM architectures, and propose new approaches to improve model performance and efficiency. Optimization : Implement optimization techniques to reduce computational resource requirements and improve model inference speed without sacrificing accuracy or performance. Scalability : Develop strategies for training and deploying models at scale, ensuring robustness and reliability in production environments. Collaboration : Work closely with cross-functional teams (data science, software engineering, product) to integrate LLM capabilities into our products and solutions. Evaluation & Benchmarking : Establish and maintain rigorous testing, validation, and benchmarking procedures to assess model quality, performance, and generalization. Model Explainability : Develop methods to improve the interpretability and explainability of language models, ensuring that outputs can be understood and trusted by end-users. Qualifications : Education : Bachelor's, Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience : Proven experience (1+ years) working with NLP, deep learning, and LLM architectures (e.g., GPT, BERT, T5, etc.). Expertise in programming languages such as Python and experience with machine learning frameworks like TensorFlow, PyTorch, or JAX. Solid understanding of transformer models, attention mechanisms, and the architecture of large-scale neural networks. Experience with distributed computing, GPU acceleration, and cloud-based machine learning platforms (e.g., AWS, GCP, Azure). Familiarity with model deployment tools and practices (e.g., TensorFlow Serving, or Hugging Face). Skills : Strong problem-solving skills and ability to work on complex, ambiguous tasks. Solid understanding of model evaluation metrics for NLP tasks. Experience with large datasets and parallel computing for training and fine-tuning LLMs. Familiarity with optimization techniques such as pruning, quantization, or knowledge distillation. Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders. Nice to Have : Experience with reinforcement learning or few-shot learning in the context of language models. Contributions to open-source projects or publications in top-tier AI/ML conferences (e.g., NeurIPS, ACL, ICML). What We Offer : Competitive salary and benefits package Flexible work schedule with remote work options Opportunity to work on cutting-edge AI technology with a passionate team A collaborative and inclusive work culture focused on innovation

Site Engineer – Civil (Drainage, Retaining Wall & Labour Management) Location: Andaman and Nicobar Islands, Experience: around 10 years preferred Qualification: B.E./Diploma in Civil Engineering Key Responsibilities Drain Construction Interpret and execute drainage layout drawings and specifications Supervise excavation, pipe laying, manhole construction, and backfilling Ensure slope, alignment, and levels are as per design Coordinate with surveyors and quality teams for inspections Retaining Wall Construction Oversee shuttering, reinforcement, and concreting activities Ensure structural stability and adherence to design standards Monitor curing and waterproofing processes Maintain safety and quality control on site Labour Mobilization & Management Plan daily workforce requirements based on project schedule Allocate tasks and monitor productivity of skilled and unskilled labour Coordinate with contractors and subcontractors for manpower supply Maintain attendance, work logs, and resolve on-site labour issues General Site Duties Prepare daily progress reports and update project managers Ensure compliance with health, safety, and environmental regulations Manage materials, tools, and equipment efficiently Liaise with consultants, vendors, and local authorities as needed Skills & Competencies Strong knowledge of civil construction practices Ability to read and interpret technical drawings Leadership and team coordination Problem-solving and decision-making on site Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Experience: Civil engineering: 10 years (Preferred) Location: Port Blair, Andaman and Nicobar Islands (Required) Shift availability: Day Shift (Preferred) Work Location: In person

JOB DESCRIPTION We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Job Description GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Responsibilities Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications Qualifications: BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills

Job Title: Python & AI Developer Location: Mohali 8B Experience: 2–7 Years Job Summary: We are seeking a skilled Python & AI Developer to join our team. The ideal candidate will have strong experience in Python programming and hands-on expertise in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying AI-based applications and solutions. Key Responsibilities: Develop and maintain AI/ML models using Python. Work with large datasets: cleaning, processing, and analyzing data. Build predictive and classification models using algorithms like Regression, Decision Trees, SVM, CNN, RNN, etc. Deploy AI solutions into production environments using Flask, FastAPI, or other frameworks. Collaborate with data scientists, analysts, and backend engineers to integrate models into existing systems. Write efficient, reusable, and testable code. Stay up to date with the latest AI and machine learning trends. Required Skills: Proficient in Python and AI/ML libraries such as TensorFlow, Keras, PyTorch, scikit-learn, NumPy, Pandas. Strong understanding of AI/ML algorithms, deep learning, and statistical modeling. Experience with data preprocessing and model evaluation techniques. Familiarity with RESTful APIs, Flask/Django/FastAPI for model deployment. Knowledge of cloud platforms (AWS, GCP, Azure) is a plus. Good problem-solving and communication skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience with version control systems (e.g., Git). Familiarity with NLP, computer vision, or reinforcement learning is a bonus. Job Types: Full-time, Permanent Schedule: Day shift Monday to Friday Work Location: In person

Key Responsibilities: Plan and implement age-appropriate learning activities that promote early childhood development Create a safe, clean, and stimulating classroom environment Foster positive relationships with children, parents, and staff Encourage language development, basic numeracy, motor skills, and social interaction Observe and assess each child’s progress and keep detailed records Manage daily routines including snack time, nap time, and toileting Maintain classroom discipline using positive reinforcement techniques Communicate regularly with parents regarding their child’s development and behavior Prepare materials, set up learning centers, and decorate the classroom Follow health, safety, and hygiene guidelines as per school or state regulations Participate in staff meetings, training, and school events Job Types: Full-time, Permanent Pay: ₹9,910.49 - ₹15,000.00 per month Benefits: Paid sick time Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Work Location: In person

Job Summary- We are seeking a skilled and innovative AI Developer with 2+ years experience in building intelligent AI agents and working with Large Language Models (LLMs). The ideal candidate will have a strong background in Python, modern AI frameworks, and real-world implementation of generative AI solutions. Key Responsibilities: Design, develop, and optimize AI agents for real-world applications. Implement LLMs (Large Language Models) like GPT, Claude, DeepSeek, etc. for conversational AI. Work on Retrieval-Augmented Generation (RAG), vector databases (Pinecone, weaviate, FAISS), and prompt engineering. Develop AI automation workflows integrating APIs, databases, and external tools. Optimize AI models for performance, scalability, and efficiency. Collaborate with cross-functional teams, including designers and software engineers. Stay updated with the latest AI/ML advancements and incorporate best practices. Required Skills & Experience: 2+ years of experience in AI/ML development. Hands-on experience with AI agents like Auto-GPT, BabyAGI, or custom-built agents. Strong knowledge of Python, LangChain, LlamaIndex, OpenAI API, Hugging Face, TensorFlow, PyTorch. Experience with vector databases (Pinecone, Weaviate, FAISS, ChromaDB). Proficiency in API integrations and working with RESTful and GraphQL APIs. Understanding of NLP, Reinforcement Learning, Fine-tuning models. Knowledge of cloud platforms (AWS, GCP, Azure) and deployment strategies. Strong problem-solving skills and ability to work in a fast-paced environment. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹50,000.00 per month Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 98770 70134

GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Qualifications: BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

Job Summary: We are looking for a skilled Python Developer with 7 to 12 years of experience to design, develop, and maintain high-quality back-end systems and applications. The ideal candidate will have expertise in Python and related frameworks, with a focus on building scalable, secure, and efficient software solutions. This role requires a strong problem-solving mindset, collaboration with cross-functional teams, and a commitment to delivering innovative solutions that meet business objectives. Responsibilities Application and Back-End Development: Design, implement, and maintain back-end systems and APIs using Python frameworks such as Django, Flask, or FastAPI, focusing on scalability, security, and efficiency. Build and integrate scalable RESTful APIs, ensuring seamless interaction between front-end systems and back-end services. Write modular, reusable, and testable code following Python’s PEP 8 coding standards and industry best practices. Develop and optimize robust database schemas for relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB), ensuring efficient data storage and retrieval. Leverage cloud platforms like AWS, Azure, or Google Cloud for deploying scalable back-end solutions. Implement caching mechanisms using tools like Redis or Memcached to optimize performance and reduce latency. AI/ML Development: Build, train, and deploy machine learning (ML) models for real-world applications, such as predictive analytics, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision. Work with popular machine learning and AI libraries/frameworks, including TensorFlow, PyTorch, Keras, and scikit-learn, to design custom models tailored to business needs. Process, clean, and analyze large datasets using Python tools such as Pandas, NumPy, and PySpark to enable efficient data preparation and feature engineering. Develop and maintain pipelines for data preprocessing, model training, validation, and deployment using tools like MLflow, Apache Airflow, or Kubeflow. Deploy AI/ML models into production environments and expose them as RESTful or GraphQL APIs for integration with other services. Optimize machine learning models to reduce computational costs and ensure smooth operation in production systems. Collaborate with data scientists and analysts to validate models, assess their performance, and ensure their alignment with business objectives. Implement model monitoring and lifecycle management to maintain accuracy over time, addressing data drift and retraining models as necessary. Experiment with cutting-edge AI techniques such as deep learning, reinforcement learning, and generative models to identify innovative solutions for complex challenges. Ensure ethical AI practices, including transparency, bias mitigation, and fairness in deployed models. Performance Optimization and Debugging: Identify and resolve performance bottlenecks in applications and APIs to enhance efficiency. Use profiling tools to debug and optimize code for memory and speed improvements. Implement caching mechanisms to reduce latency and improve application responsiveness. Testing, Deployment, and Maintenance: Write and maintain unit tests, integration tests, and end-to-end tests using Pytest, Unittest, or Nose. Collaborate on setting up CI/CD pipelines to automate testing, building, and deployment processes. Deploy and manage applications in production environments with a focus on security, monitoring, and reliability. Monitor and troubleshoot live systems, ensuring uptime and responsiveness. Collaboration and Teamwork: Work closely with front-end developers, designers, and product managers to implement new features and resolve issues. Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives, to ensure smooth project delivery. Provide mentorship and technical guidance to junior developers, promoting best practices and continuous improvement. Required Skills and Qualifications Technical Expertise: Strong proficiency in Python and its core libraries, with hands-on experience in frameworks such as Django, Flask, or FastAPI. Solid understanding of RESTful API development, integration, and optimization. Experience working with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Expertise in using Git for version control and collaborating in distributed teams. Knowledge of CI/CD pipelines and tools like Jenkins, GitHub Actions, or CircleCI. Strong understanding of software development principles, including OOP, design patterns, and MVC architecture. Preferred Skills: Experience with asynchronous programming using libraries like asyncio, Celery, or RabbitMQ. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly) for generating insights. Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is a plus. Familiarity with big data frameworks like Apache Spark or Hadoop. Experience with serverless architecture using AWS Lambda, Azure Functions, or Google Cloud Run. Soft Skills: Strong problem-solving abilities with a keen eye for detail and quality. Excellent communication skills to effectively collaborate with cross-functional teams. Adaptability to changing project requirements and emerging technologies. Self-motivated with a passion for continuous learning and innovation. Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Job Features Job Category Software Division

Job Summary: We are looking for a skilled Python Developer with 3 to 6 years of experience to design, develop, and maintain high-quality back-end systems and applications. The ideal candidate will have expertise in Python and related frameworks, with a focus on building scalable, secure, and efficient software solutions. This role requires a strong problem-solving mindset, collaboration with cross-functional teams, and a commitment to delivering innovative solutions that meet business objectives. Responsibilities Application and Back-End Development: Design, implement, and maintain back-end systems and APIs using Python frameworks such as Django, Flask, or FastAPI, focusing on scalability, security, and efficiency. Build and integrate scalable RESTful APIs, ensuring seamless interaction between front-end systems and back-end services. Write modular, reusable, and testable code following Python’s PEP 8 coding standards and industry best practices. Develop and optimize robust database schemas for relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB), ensuring efficient data storage and retrieval. Leverage cloud platforms like AWS, Azure, or Google Cloud for deploying scalable back-end solutions. Implement caching mechanisms using tools like Redis or Memcached to optimize performance and reduce latency. AI/ML Development: Build, train, and deploy machine learning (ML) models for real-world applications, such as predictive analytics, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision. Work with popular machine learning and AI libraries/frameworks, including TensorFlow, PyTorch, Keras, and scikit-learn, to design custom models tailored to business needs. Process, clean, and analyze large datasets using Python tools such as Pandas, NumPy, and PySpark to enable efficient data preparation and feature engineering. Develop and maintain pipelines for data preprocessing, model training, validation, and deployment using tools like MLflow, Apache Airflow, or Kubeflow. Deploy AI/ML models into production environments and expose them as RESTful or GraphQL APIs for integration with other services. Optimize machine learning models to reduce computational costs and ensure smooth operation in production systems. Collaborate with data scientists and analysts to validate models, assess their performance, and ensure their alignment with business objectives. Implement model monitoring and lifecycle management to maintain accuracy over time, addressing data drift and retraining models as necessary. Experiment with cutting-edge AI techniques such as deep learning, reinforcement learning, and generative models to identify innovative solutions for complex challenges. Ensure ethical AI practices, including transparency, bias mitigation, and fairness in deployed models. Performance Optimization and Debugging: Identify and resolve performance bottlenecks in applications and APIs to enhance efficiency. Use profiling tools to debug and optimize code for memory and speed improvements. Implement caching mechanisms to reduce latency and improve application responsiveness. Testing, Deployment, and Maintenance: Write and maintain unit tests, integration tests, and end-to-end tests using Pytest, Unittest, or Nose. Collaborate on setting up CI/CD pipelines to automate testing, building, and deployment processes. Deploy and manage applications in production environments with a focus on security, monitoring, and reliability. Monitor and troubleshoot live systems, ensuring uptime and responsiveness. Collaboration and Teamwork: Work closely with front-end developers, designers, and product managers to implement new features and resolve issues. Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives, to ensure smooth project delivery. Provide mentorship and technical guidance to junior developers, promoting best practices and continuous improvement. Required Skills and Qualifications Technical Expertise: Strong proficiency in Python and its core libraries, with hands-on experience in frameworks such as Django, Flask, or FastAPI. Solid understanding of RESTful API development, integration, and optimization. Experience working with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Expertise in using Git for version control and collaborating in distributed teams. Knowledge of CI/CD pipelines and tools like Jenkins, GitHub Actions, or CircleCI. Strong understanding of software development principles, including OOP, design patterns, and MVC architecture. Preferred Skills: Experience with asynchronous programming using libraries like asyncio, Celery, or RabbitMQ. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly) for generating insights. Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is a plus. Familiarity with big data frameworks like Apache Spark or Hadoop. Experience with serverless architecture using AWS Lambda, Azure Functions, or Google Cloud Run. Soft Skills: Strong problem-solving abilities with a keen eye for detail and quality. Excellent communication skills to effectively collaborate with cross-functional teams. Adaptability to changing project requirements and emerging technologies. Self-motivated with a passion for continuous learning and innovation. Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Job Features Job Category Software Division

Key Responsibilities: - Prepare Detailed Structural Drawings for Steel/RCC Buildings Including High-Rises, Commercial, Township Projects, Etc. - Create Reinforcement Detailing, General Arrangement Drawings (Gad), Sections, And Schedules. - Coordinate Closely with Design Engineers to Ensure Accuracy and Clarity. - Modify Drawings as Per Design Changes and Client Feedback. - Ensure Adherence to Relevant Codes, Standards, and Project Specifications. Requirements: - Minimum 2 Years of Experience in Preparing Steel/RCC Structural Drawings. - Proficiency In AutoCAD and Knowledge of Structural Drafting Standards. - Ability To Understand and Interpret Structural Design Outputs. - Team Player with Good Communication and Coordination Skills. - Must be in or willing to Locate in Ahmedabad. Job Type: Full-time Pay: ₹15,000.00 - ₹39,849.87 per month Benefits: Paid time off Schedule: Day shift Monday to Friday Work Location: In person

We are urgently hiring for Senior Data Scientist with Biz2x at Noida. As a Biz2x Data Scientist, you will shape the company's data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere. Job Job Responsibility: - ▪ Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times. ▪ Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes. ▪ Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers. ▪ Play a key role in the design and implementation of ongoing operational and risk reporting and analytics. ▪ Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non-banks, debt investors, equity investors and others) to analyze, classify and visualize credit-related data ▪ Perform ad hoc analyses on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders ▪ Manage multiple projects and priorities while delivering accurate & timely results in a fastpaced environment Requirements ▪ Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred • 3-6 years of experience in applied data science or machine learning roles. • Hands-on experience with LLMs and GenAI applications. • Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. • Strong experience in deep learning, NLP, and generative models (e.g., VAEs, GANs, Diffusion models). • Experience with prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or model distillation. • Proficiency in SQL, data wrangling, and working with large datasets. • Familiarity with MLOps tools (e.g., MLflow, Airflow, Kubeflow) and cloud platforms (AWS/GCP/Azure). Preferred Qualifications • Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc.). • Experience building and deploying LLM-powered applications in production. • Background in reinforcement learning, time series forecasting, or causal inference. • Understanding data privacy, model fairness, and ethical AI consideration Apply on https://app.intalent.ai/biz2credit/recruitment/candidate/new/354