212 Interpretability Jobs - Page 4

We are seeking an experienced and highly motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate will have solid experience in building, deploying, and scaling machine learning solutions using Python and modern ML frameworks. Key Responsibilities: Design, develop, and deploy machine learning models, including advanced architectures such as Large Language Models (LLMs). Collaborate with cross-functional teams to build scalable AI-driven solutions using robust software engineering principles. Leverage Python and object-oriented programming techniques to create efficient, maintainable, and production-grade ML pipelines. Work with popular machine learning frameworks such as TensorFlow , PyTorch , and Scikit-learn for model development and experimentation. Integrate AI/ML models into applications using RESTful APIs and ensure performance, scalability, and reliability. Utilize tools such as Hugging Face , LangChain , and OpenAI APIs to build and fine-tune NLP and generative AI models. Implement and manage containerized services using Docker , enabling smooth deployment and reproducibility of ML solutions. Apply best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. Design, develop, and maintain relational databases (e.g., MySQL , PostgreSQL , Oracle ) to support data-driven applications. Contribute to the design and implementation of microservices-based architectures for AI/ML systems. Understand and apply agent communication protocols and multi-agent system design (e.g., MCP) where relevant to AI applications. Analyze large datasets, derive actionable insights, and drive continuous model improvements. Required Skills and Qualifications: 4+ years of experience in data science, machine learning, or backend development roles. Proficiency in Python and strong foundations in object-oriented programming . Hands-on experience with machine learning model lifecycle — from training to production deployment and monitoring. Familiarity with scalable system design and microservices architecture. Excellent problem-solving skills, attention to detail, and a strong understanding of data structures and algorithms. Effective communication and collaboration skills, with the ability to work in a dynamic team environment. Preferred Qualifications: Generative AI Expertise: Practical experience and in-depth knowledge of Generative AI technologies, including Large Language Models (LLMs) such as GPT, LLaMA, and their real-world applications. Prompt Engineering & Model Optimization: Proficiency in prompt engineering, fine-tuning LLMs, and evaluating the performance and effectiveness of AI/ML models. AI System Architecture: Familiarity with orchestration frameworks and agent-based system architectures for building modular and intelligent AI solutions. Advanced AI Tooling: Experience working with and integrating state-of-the-art AI tools, platforms, and APIs into scalable systems. Innovation Mindset: Demonstrated ability to creatively apply AI/ML — including Generative AI and LLMs — to solve complex problems and deliver business value, especially in the payment technology or fintech domains. Cross-Functional Collaboration: Strong communication skills with a proven track record of working effectively in cross-disciplinary teams, including product, engineering, and data stakeholders. Responsible AI Practices: Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing model monitoring.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Act as the senior software engineer RPA development using UiPath or Mulesoft Be able to develop, design and implement UiPath solutions Design and implement scalable ML solutions using state-of-the-art generative models Fine-tune and optimize large language models (LLMs) for domain-specific applications Collaborate with cross-functional teams to integrate RPA/AI capabilities into products and services Develop pipelines for data preprocessing, model training, evaluation, and deployment Ensure model performance, fairness, and interpretability through rigorous testing and validation Act as a mentor to other technical team members providing guidance and possible solution approaches Be able to engage with the business and gather requirements and organize them utilizing an Agile based approach Serve as the technical subject matter expert for the development team and work closely with all the global development team to lead, enhance, and maintain the application Participate in scrum meetings and relay business and technical decisions to the development team Work closely with the product owner and business SMEs on design of product Coordinate release planning Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Engineering degree or equivalent experience 7+ years of hands-on experience in both frontend and backend development tasks, working with technologies such as UiPath and related frameworks 2+ years of experience in AI/ML engineering, focused on Generative AI or Agentic AI 2+ years of hands-on experience working with Microsoft Azure Cloud Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques MS Azure, Rally experience Experience working in agile methodology Experience driving UiPath solutions and it’s framework, also guiding a team to realizing those solutions Significant experience in UiPath development design and architecture Experience mentoring other software engineers Experience serving as senior engineer being able to collaborate with the product owner in documenting feature and user story acceptance criteria; understand how the features will integrate into the current application as well At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

WHY GO WITH GREYORANGE? At GreyOrange, we develop leading-edge fulfillment technology that gets the right product to the right place at the right time. In today’s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, GreyOrange transforms how businesses fulfill orders and keep promises to their customers. GreyOrange is a global company with core operations in North America, Europe, India and Japan. We apply modern thinking and technology to solve today’s fulfillment challenges – and we’re looking for modern minds to join us. About Our Solutions GreyOrange technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future. Our AI-driven GreyMatter™ Fulfillment Operating System and Ranger™ robot series are a combined solutions that continuously prioritize decisions and workflows to efficiently orchestrate tasks, time and teams of people and robots for optimum performance across a distribution center. Real-time data is fed into always-solving algorithms that calculate each next-best decision, whether solving for every-day performance or solving for peak period commitments. The result is a fast, agile and precisely tuned operation that equips our customers to perpetually meet the what-when-where expectations of their customers. Senior Engineer - Software Development Responsibilities Design and implement backend infrastructure and APIs. Write high-quality code that is robust, readable and scales. Possess the drive to dive deep. thrive and progress even in ambiguous situations. Encourage and support knowledge sharing within teams and external groups. Troubleshoot & debug applications. Adopt problem-solving as a way of life - always go to the root cause. Collaborate with the team to discuss and implement ideas. Build responsive, robust and optimized applications. Requirements: B.E/ B.Tech/M.E/M.Tech/ M.S in Computer Science, Electronics, or related fields from a premier institute. 3-6 years of work experience, having demonstrated problem-solving skills. Have experience designing and implementing non-trivial software systems (e.g., using multiple processes/threads/IPC etc.) Proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, scikit-learn, Keras, with strong MLOps practices for model deployment and monitoring. Exposure to NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices. Development experience using Java Spring boot, Python, Android, ReactJS Experience working on REST, Kafka based API integration Experience on designing scalable and distributed systems. Experience on docker, Kubernetes. Good understanding of design patterns, object oriented design, and frameworks. Experience in Algorithmic development Proficient in RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns. Equal Opportunity Employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

WHY GO WITH GREYORANGE? At GreyOrange, we develop leading-edge fulfillment technology that gets the right product to the right place at the right time. In today’s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, GreyOrange transforms how businesses fulfill orders and keep promises to their customers. GreyOrange is a global company with core operations in North America, Europe, India and Japan. We apply modern thinking and technology to solve today’s fulfillment challenges – and we’re looking for modern minds to join us. About Our Solutions GreyOrange technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future. Our AI-driven GreyMatter™ Fulfillment Operating System and Ranger™ robot series are a combined solutions that continuously prioritize decisions and workflows to efficiently orchestrate tasks, time and teams of people and robots for optimum performance across a distribution center. Real-time data is fed into always-solving algorithms that calculate each next-best decision, whether solving for every-day performance or solving for peak period commitments. The result is a fast, agile and precisely tuned operation that equips our customers to perpetually meet the what-when-where expectations of their customers. Senior Engineer - Software Development Responsibilities Design and implement backend infrastructure and APIs. Write high-quality code that is robust, readable and scales. Possess the drive to dive deep. thrive and progress even in ambiguous situations. Encourage and support knowledge sharing within teams and external groups. Troubleshoot & debug applications. Adopt problem-solving as a way of life - always go to the root cause. Collaborate with the team to discuss and implement ideas. Build responsive, robust and optimized applications. Requirements: 6–10 years of experience in software development with strong problem-solving skills and expertise in building complex, high-performance systems. Proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, Keras, with strong MLOps practices for model deployment and monitoring. Solid foundation in machine learning, deep learning, and AI integration into production systems with real-world performance trade-off understanding. Exposure to NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices. Deep experience in designing scalable, distributed systems using microservices, event-driven architecture, and principles like CAP theorem and fault tolerance. Skilled in system strategies including load balancing, caching, service discovery, rate limiting, disaster recovery, and observability. Hands-on with Java Spring Boot, Python, Android, and containerized deployments using Docker and Kubernetes. Strong knowledge of RESTful services, Kafka-based messaging, multithreading, and inter-process communication. Proficient in RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns. Experienced in version control (Git), performance tuning, algorithm design, and large-scale system optimization. Equal Opportunity Employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Ready to make a global impact by industrializing AI? Visa AI as Services (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications for predictive and generative AI. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as Services is an ideal place for you! This role is for a Lead ML Engineer – Visa Feature Platform, with a strong development background, whose primary objective will be to extend our AI as a Service platform to provide faster time to market and building sophisticated Feature Engineering for training & inference while enhancing, optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking for a strong tech leader and architect with a solid background in data engineering and AI/ML production systems. The ideal candidate will have a strong mix of hands-on technical knowledge and leadership skills, with the ability to inspire and drive the team towards achieving our technical objectives. They should be hands-on, knowledgeable about cloud technologies, business drivers, and emerging AI/ML trends, and experienced with Big Data & Streaming platforms. The role demands a proactive leader who can guide the team through uncertainty, educate stakeholders, and influence decisions. The candidate should possess strong interpersonal skills, excellent written and verbal communication, and the ability to manage complex projects and deadlines. A problem-solving mindset and a hands-on approach are key to succeeding in this role. This role offers ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. If you are experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you. Essential Functions: Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development. Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Coaching and mentoring junior team members and evolving team talent pipeline. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 12 or more years of relevant work experience with a bachelor's degree or at least 10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 8 years of work experience with a PhD 4+ years of related hands-on experience in delivering robust and scalable solutions on Big Data applications Experience in at least one or two of the following: Rust, Python, Golang, Java, or C/C++. Experience with Rust, Flink, Spark, NoSQL or Kafka highly preferred. Web service standards and related patterns (REST, gRPC). Experience implementing solutions for low-latency, distributed services using open standard technologies. e.g. Streaming Systems, NoSQL and Containers. Exposure to leading-edge areas such as Machine Learning, Big Data, Distributed Systems or SRE. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Senior Machine Learning Engineer (AI-Powered Software Platform for Hidden Physical-Threat Detection & Real-Time Intelligence) About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing a UAV-based next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. Position Overview: We are seeking a Senior Machine Learning Engineer with a strong research orientation to join our team. This role will focus on developing and refining proprietary machine learning models for drone-based landmine detection and mitigation. The ideal candidate will design, develop, and optimize advanced ML workflows with an emphasis on rigorous research, novel model development, and experimental validation in deep learning, multi-modal/sensor fusion and computer vision applications. Key Responsibilities: Lead the end-to-end AI model development process, including research, experimentation, design, and implementation. Architect, train, and deploy deep learning models on cloud (GCP) and edge devices, ensuring real-time performance. Develop and optimize multi-modal ML/DL models integrating multiple sensor inputs. Implement and fine-tune CNNs, Vision Transformers (ViTs), and other deep-learning architectures. Design and improve sensor fusion techniques for enhanced perception and decision-making. Optimize AI inference for low-latency and high-efficiency deployment on production. Cross-collaborate with software and hardware teams to integrate AI solutions into mission-critical applications. Develop scalable pipelines for model training, validation, and continuous improvement. Ensure robustness, interpretability, and security of AI models in deployment. Required Skills: • Strong expertise in deep learning frameworks (TensorFlow, PyTorch). • Experience with CNNs, ViTs, and other DL architectures. • Hands-on experience in multi-modal ML and sensor fusion techniques. • Proficiency in cloud-based AI model deployment (GCP experience preferred). • Experience with edge AI optimization (NVIDIA Jetson, TensorRT, OpenVINO). • Strong knowledge of data preprocessing, augmentation, and synthetic data generation. • Proficiency in model quantization, pruning, and optimization for real-time applications. • Familiarity with computer vision, object detection, and real-time inference techniques. • Ability to work with limited datasets, including generating synthetic data (VAEs or s similar), data annotation and augmentation strategies. • Strong coding skills in Python and C++ with experience in high-performance computing. Preferred Qualifications: • Experience: 2-4+ Years. • Experience with MLOps, including CI/CD pipelines, model versioning, and monitoring. • Knowledge of reinforcement learning techniques. • Experience in working in fast-paced startup environments. • Prior experience working on AI-driven autonomous systems, robotics, or UAVs. • Understanding of embedded systems and hardware acceleration for AI workloads. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive startup-level salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact. How to Apply: Interested candidates are encouraged to submit their resume along with an (optional) cover letter highlighting their relevant experience and passion for working in a dynamic startup environment. For any questions or further information, feel free to reach out to us directly by emailing us at careers@aerobotics7.com.

About the Role The Content Editor will be responsible for reviewing assessment and education-related content to make it interpretable, grammatical, consistent and complying with basic assessment, education and publication standards. The Content Editor will have to go through the content and bring to notice any discrepancy that might have been missed or introduced in the earlier stages of the content life-cycle and share content-related inputs where further interventions may be required from the Authors or the Ops team. Responsibilities : Check the content for interpretability issues and query/comment where clarification is required Make the content grammatical (basic grammar rules, spelling, punctuation, etc.) Check the content for consistency with respect to given data, usage and in-house style Ensure content is compliant to in-house guidelines Check the content for controversial/sensitive information Qualifications : 3-5 years of experience as a content editor Required Skills : Good command over English grammar Keen eye for detail Proficient in MS Word and Excel Experience working under pressure and tight deadlines Experience in dealing with Academic content (writing, editing, managing) is preferred Preferred Skills : Understanding of Assessment

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Analyst - Data Science Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 5–6 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities: • Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. • Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. • Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. • Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. • Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. • Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. • Ensure data quality through systematic QC checks, test case creation, and validation frameworks. • Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. • Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. • 5+ years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. • At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings. • Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL. • Experience with MLOps practices, including version control, model monitoring, and automation. • Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). • Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). • Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. • Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining. • Familiarity with dashboarding tools like Tableau or PowerBI is a plus. • Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences. • Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.

🚀 About the Project We’re partnering with a U.S.-based trading firm running three profitable Nasdaq-100 (NQ) futures strategies . Your job: Build AI models that decide when to trade and which strategy to deploy — backed by real capital, not paper simulations. This isn’t a research project. Your models will go live after validation. ⚙️ What You’ll Build ✅ Binary Classification Model: Trade vs No-Trade (Target: 65%+ accuracy) ✅ Multi-Class Model: Strategy A / B / C selection ✅ Market Regime Detection: Identify which strategies thrive under what conditions ✅ Daily Prediction Pipeline: Fully automated model deployment ✅ Walk-Forward Validation: 2021–2025 rolling testing — no leakage, no shortcuts 🧪 What Sets This Role Apart Live trade logs, real strategy data (not simulations) Models control real-money trades Must beat baseline ("always trade Strategy A") Advanced walk-forward testing and lookback window optimization required Real-time market data from VIX, NDX, SPX, FOMC days, CPI, etc. 🧰 Tech Requirements (Non-Negotiable) Python (pandas, scikit-learn, XGBoost/LightGBM) Time series modeling, regime detection, overfitting prevention Strong grasp of walk-forward validation vs k-fold Interpretability: You must explain why the model makes decisions API/data integration: Yahoo Finance, FRED, macro & sentiment indicators Versioning: Git workflow for all code & models 📅 Timeline & Milestones Week 1: Data ingestion + regime analysis Week 2: Model building (binary + multi-class) Week 3: Walk-forward validation + optimization Week 4: Deployment script + full documentation 🎯 Success Criteria ✅ 65%+ accuracy (both models) ✅ 60%+ Sharpe ratio improvement ✅ No data leakage ✅ Regime-aware insights ✅ Daily prediction automation 👤 Ideal Candidate 8+ years in ML/AI with proven financial trading experience Strong portfolio of trading optimization projects Deep understanding of market regimes , behavioral biases, and risk metrics Can defend your code, logic, and decisions in technical interviews 📑 How to Apply 📩 Send us: Your trading ML portfolio (must show strategy optimization) Your walk-forward validation approach A previous client reference for a similar ML trading project How you'll prevent overfitting in this specific use case ❌ Please Don’t Apply If: You only have general ML experience (no trading) You’ve only worked on banking/fintech platforms, not predictive models You can’t explain regime detection or validation integrity 📢 Join us at OPIN Solutions to build AI that directly impacts real trades. This project has high visibility and could lead to an ongoing optimization role with the client. #Hiring #AI #MachineLearning #QuantTrading #AlgoTrading #FinancialML #NQFutures #TradingJobsIndia #RemoteWork #OPINSolutions

This role is for one of Weekday's clients Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA) Min Experience: 7 years Location: Bengaluru JobType: full-time Requirements About the Role: We are seeking a Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to drive advanced AI solutions and lead a team of data scientists and ML engineers. This is a unique opportunity to work on cutting-edge machine learning projects, influence product direction, and shape the company's data strategy. The ideal candidate is both a strategic thinker and a hands-on practitioner with strong experience in Python , end-to-end ML development, and leading teams. As a Lead Data Scientist, you will work closely with cross-functional teams including engineering, product, and business stakeholders to develop intelligent systems that create significant business impact. Key Responsibilities: Lead and mentor a team of data scientists to develop and deploy ML models, particularly in NLP, generative AI, and LLMs (e.g., GPT, BERT, LLaMA). Design, build, and implement end-to-end machine learning pipelines, from data preprocessing to production deployment. Collaborate with product and engineering teams to identify and scope machine learning opportunities aligned with business goals. Apply advanced NLP techniques (entity recognition, sentiment analysis, text summarization, etc.) to extract insights from unstructured data sources. Evaluate, fine-tune, and deploy large-scale language models for real-world applications such as chatbots, recommendation engines, document understanding, and automated decision systems. Drive innovation in data science methodologies and stay up to date with recent advancements in LLMs and generative AI. Conduct code reviews, set best practices for experimentation and model evaluation, and ensure model reproducibility and interpretability. Contribute to architectural decisions around model serving, feature engineering, and infrastructure. Communicate technical findings clearly to both technical and non-technical audiences. Required Skills & Qualifications: 7+ years of hands-on experience in data science, with at least 3 years in a leadership or technical mentorship role. Expertise in Python and its data/ML ecosystem (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.). Proven experience in Natural Language Processing, including practical use of transformers, LLMs, and fine-tuning of pre-trained models. Strong grasp of ML theory and statistical modeling. Experience building and deploying machine learning models in production environments. Ability to lead projects from ideation to delivery in fast-paced, collaborative environments. Strong communication and stakeholder management skills. Bachelor's/Master's/PhD in Computer Science, Data Science, Statistics, or related field. Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS), RAG pipelines, and prompt engineering. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, etc.). Publications or contributions to open-source projects in ML or NLP.

Greetings from TCS !!! TCS Hiring @ Content Editor (education Domain) Location: Mumbai Exp : 5 to 8yrs Role Name Content Editor (English language) Profile Summary The Content Editor will be responsible for reviewing assessment and education-related content to make it interpretable, grammatical, consistent and complying with basic assessment, education and publication standards. The Content Editor will have to go through the content and bring to notice any discrepancy that might have been missed or introduced in the earlier stages of the content life-cycle and share content-related inputs where further interventions may be required from the Authors or the Ops team. Responsibilities: Check the content for interpretability issues and query/comment where clarification is required Make the content grammatical (basic grammar rules, spelling, punctuation, etc.) Check the content for consistency with respect to given data, usage and in-house style Ensure content is compliant to in-house guidelines Check the content for controversial/sensitive information Must Have Skills 3-5 years of experience as a content editor Good command over English grammar Keen eye for detail Proficient in MS Word and Excel Experience working under pressure and tight deadlines Experience in dealing with Academic content (writing, editing, managing) is preferred Good to have skills Understanding of Assessment Location Olympus , Thane

Experience Required : 2 years Location : Remote Company : Troopr Labs Website : www.enjo.ai About Troopr Labs & Enjo At Troopr Labs, we're building Enjo - the world's smartest AI support agent - designed to become the default AI-first helpdesk for businesses. With Enjo's no-code AI Agent Studio, AI Ticketing, and LLM-native automation tools, enterprises can automate customer and employee support at scale. Trusted by global giants like Starbucks, Netflix, Snowflake, and Spotify, Enjo is already changing the way support happens. We're a lean team of builders on a mission to redefine enterprise productivity through generative AI. If you're curious, fast-moving, and excited about LLMs, we'd love to talk. Role Description We are looking for a Prompt Engineer to shape the intelligence of our AI agents. This role goes beyond simple prompt writing - it requires deep curiosity in language behavior, rigorous experimentation, and the ability to translate product goals into scalable LLM strategies. You'll work closely with product, engineering, and customer teams to design, evaluate, and productionize prompts that power real-world support experiences - and push the boundaries of what AI agents can do without human handoff. What You'll Do Design and iterate prompts to optimize Enjo's performance in customer and employee support use cases Build reusable prompt libraries and test frameworks for scale Collaborate with engineers and product leads to integrate prompt flows into our agent pipelines Experiment with emerging techniques like retrieval-augmented generation (RAG), guardrails, and role conditioning Analyze LLM outputs and conduct rigorous evaluations to improve reliability, interpretability, and impact Who You Are 1-3 years of experience working with LLMs or NLP-based AI products (internships/projects count) Experience with tools like LangChain, OpenAI, Anthropic, or similar APIs Strong understanding of prompt engineering patterns and model behavior You're curious, self-driven, and thrive in fast-moving environments Bonus : experience with AI observability, A/B testing for prompts, or few-shot learning techniques Why This Role Is Special Pioneer LLM Workflows : Build reusable prompt infrastructure powering real customer-facing agents Direct Impact : Your prompts will touch 100,000+ users at global brands Work on the Edge : Apply the latest LLM capabilities in retrieval, instruction tuning, and autonomous agents Mentorship + Autonomy : Be part of a world-class remote team where your ideas and initiative are valued Perks Remote-first and async-friendly Real-world AI experimentation environment Work closely with founders and core engineering team Access to top-tier AI tools, APIs, and mentorship (ref:hirist.tech)

Years of exp :10 - 15 yrs Location : Noida Join us as Cloud Engineer Lead at Dailoqa , where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To be successful as Cloud Engineer you should have experience with: Cloud sourcing, networks, VMs, performance, scaling, availability, storage, security, access management Deep expertise in one or more cloud platforms: AWS, Azure, GCP Strong experience in containerization and orchestration (Docker, Kubernetes, Helm) Familiarity with CI/CD tools: GitHub Actions, Jenkins, Azure DevOps, ArgoCD, etc. Proficiency in scripting languages (Python, Bash, PowerShell) Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML Strong understanding of DevOps principles applied to ML workflows. Key Responsibilities may include: Design and implement scalable, cost-optimized, and secure infrastructure for AI-driven platforms. Implement infrastructure as code using tools like Terraform, ARM, or Cloud Formation. Automate infrastructure provisioning, CI/CD pipelines, and model deployment workflows. Ensure version control, repeatability, and compliance across all infrastructure components. Set up monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, ELK, or Azure Monitor. Optimize performance and resource utilization of AI workloads including GPU-based training/inference Experience with Snowflake, Databricks for collaborative ML development and scalable data processing. Understanding model interpretability, responsible AI, and governance. Contributions to open-source MLOps tools or communities. Strong leadership, communication, and cross-functional collaboration skills. Knowledge of data privacy, model governance, and regulatory compliance in AI systems. Exposure to LangChain, Vector DBs (e. g. , FAISS, Pinecone), and retrieval-augmented generation (RAG) pipelines.

Job Title: Senior AI/ML Developer (Onsite) Location: Riyadh, Saudi Arabia Job Type: Full-Time, Onsite Experience Required: 5+ years Interested candidates can send their resume and a cover letter to hr@whitemastery.com or contact 9176760030 About the Role We are looking for a passionate and highly skilled Senior Artificial Intelligence and Machine Learning Developer to join our growing tech team onsite . If you are someone who thrives in a dynamic environment, enjoys solving complex problems using intelligent systems, and wants to be part of building cutting-edge solutions that drive real-world impact — we want to hear from you. This role demands strong technical leadership, a proactive mindset, and the ability to architect and deploy robust AI/ML models. As a senior member of the team, you will also mentor juniors and actively collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy AI/ML models and systems for real-world applications Build end-to-end pipelines including data preprocessing, model training, validation, and deployment Research and implement advanced ML algorithms, deep learning models, and NLP techniques Collaborate with data scientists, product managers, and software engineers to deliver AI-powered features Ensure scalability, reliability, and performance of deployed models Stay ahead of the curve with the latest developments in AI/ML and drive innovation Mentor junior developers and help shape technical best practices within the team Key Skills & Qualifications Strong programming skills in Python and Golang Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn Solid grasp of machine learning, deep learning, NLP , and model interpretability techniques Experience with model deployment, MLOps , and version control tools Strong understanding of data structures, algorithms, and system design Experience working with cloud platforms (AWS/GCP/Azure) is a plus Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Excellent problem-solving, analytical, and communication skills Minimum 5 years of experience in AI/ML development, with proven track record in delivering production-grade models Job Type: Contractual / Temporary Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Paid sick time Paid time off Application Question(s): Do you hold a valid passport? When can you join us? Experience: AI and ML: 3 years (Preferred) Work Location: In person

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure. As a machine learning engineer, you will play a pivotal role in constructing essential infrastructure for the open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly. What you’ll be doing (ie. job duties): Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining. Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment. Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization. What we look for in you (ie. job requirements): 2+yrs of industry experience as a machine learning and software engineer Experience building backend systems at scale with a focus on data processing/machine learning/analytics. Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision. Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder. Nice to haves: BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field. Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python. Experience with model interpretability, responsible AI. Experience with data analysis and visualization. Job ID : GPML04IN Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here . Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. 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Job Title: Senior AI/ML Developer (Onsite) Location: Riyadh, Saudi Arabia Job Type: Full-Time, Onsite Experience Required: 5+ years Interested candidates can send their resume and a cover letter to hr@whitemastery.com or contact 9176760030 About the Role We are looking for a passionate and highly skilled Senior Artificial Intelligence and Machine Learning Developer to join our growing tech team onsite . If you are someone who thrives in a dynamic environment, enjoys solving complex problems using intelligent systems, and wants to be part of building cutting-edge solutions that drive real-world impact — we want to hear from you. This role demands strong technical leadership, a proactive mindset, and the ability to architect and deploy robust AI/ML models. As a senior member of the team, you will also mentor juniors and actively collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy AI/ML models and systems for real-world applications Build end-to-end pipelines including data preprocessing, model training, validation, and deployment Research and implement advanced ML algorithms, deep learning models, and NLP techniques Collaborate with data scientists, product managers, and software engineers to deliver AI-powered features Ensure scalability, reliability, and performance of deployed models Stay ahead of the curve with the latest developments in AI/ML and drive innovation Mentor junior developers and help shape technical best practices within the team Key Skills & Qualifications Strong programming skills in Python and Golang Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn Solid grasp of machine learning, deep learning, NLP , and model interpretability techniques Experience with model deployment, MLOps , and version control tools Strong understanding of data structures, algorithms, and system design Experience working with cloud platforms (AWS/GCP/Azure) is a plus Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Excellent problem-solving, analytical, and communication skills Minimum 5 years of experience in AI/ML development, with proven track record in delivering production-grade models Job Type: Contractual / Temporary Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Paid sick time Paid time off Application Question(s): Do you hold a valid passport? When can you join us? Experience: AI and ML: 3 years (Preferred) Work Location: In person

About AiSensy AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp. Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more High Impact as Businesses drive 25-80% Revenues using AiSensy Platform Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors About the Role We are seeking a highly skilled and innovative AI/ML Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. Key Responsibilities AI Model Development Design, develop, and optimize AI solutions, including LLMs , RAG architectures , and Graph-based RAG systems , tailored to specific business needs. Develop and fine-tune models for tasks such as Natural Language Processing (NLP) , Computer Vision , and Reinforcement Learning (RL) . Prompt Engineering and AI Agents Work with prompt optimization to enhance LLM-based responses for specific use cases. Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention. Data Processing and Management Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation. Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems. Algorithm Selection and Optimization Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements. Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy. Deployment and Integration Deploy AI/ML models in production-grade environments , ensuring scalability, reliability, and seamless integration with existing systems. Implement model monitoring pipelines to ensure performance consistency over time. Research and Development Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures , diffusion models , and multi-modal AI . Experiment with emerging tools like LangChain , Hugging Face , and OpenAI APIs to innovate solutions. Collaboration and Knowledge Sharing Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions. Document workflows, processes, and findings to enable knowledge sharing and continuity across teams. Required Qualifications Education Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field. Experience Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions. Technical Proficiency Proficiency in Python and AI/ML frameworks like TensorFlow , PyTorch , scikit-learn , or Keras . Experience working with LLMs , transformers , and generative AI tools . Familiarity with cloud platforms such as AWS , Google Cloud , or Azure , including AI-focused services like SageMaker and Vertex AI. Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems. Analytical Expertise Strong understanding of advanced statistical methods , mathematical concepts , and probabilistic models . Ability to analyze and interpret data for actionable insights and model improvements. Soft Skills Exceptional problem-solving and critical-thinking abilities. Strong communication skills to effectively collaborate with cross-functional teams. Adaptability to a fast-paced, innovation-driven environment. Preferred Qualifications Hands-on experience with LangChain , Hugging Face Transformers , or OpenAI API integrations . Expertise in specialized AI domains like multi-modal learning, conversational AI , and prompt engineering . Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals. Familiarity with deploying AI Agents in production systems.

At AryaXAI , we’re building the future of explainable, scalable, and aligned AI —designed specifically for high-stakes environments where trust, transparency, and performance are non-negotiable. From financial services to energy and other regulated industries, our platform powers intelligent decision-making through safe and robust AI systems. We’re looking for a Data Scientist with a deep understanding of both classical and deep learning techniques, experience building enterprise-scale ML pipelines, and the ambition to tackle real-world, high-impact problems. You will work at the intersection of modeling, infrastructure, and regulatory alignment—fine-tuning models that must be auditable, performant, and production-ready. Responsibilities: Modeling & AI Development Design, build, and fine-tune machine learning models (both classical and deep learning) for complex mission-critical use cases in domains like banking, finance, energy, etc. Work on supervised, unsupervised, and semi-supervised learning problems using structured, unstructured, and time-series data. Fine-tune foundation models for specialized use cases requiring high interpretability and performance. Platform Integration Develop and deploy models on AryaXAI’s platform to serve real-time or batch inference needs. Leverage explainability tools (e.g., DLBacktrace, SHAP, LIME, or AryaXAI’s native xai_evals stack) to ensure transparency and regulatory compliance. Design pipelines for data ingestion, transformation, model training, evaluation, and deployment using MLOps best practices. Enterprise AI Architecture Collaborate with product and engineering teams to implement scalable and compliant ML pipelines across cloud and hybrid environments. Contribute to designing secure, modular AI workflows that meet enterprise needs—latency, throughput, auditability, and policy constraints. Ensure models meet strict regulatory and ethical requirements (e.g., bias mitigation, traceability, explainability). Requirements : 3+ years of experience building ML systems in production, ideally in regulated or enterprise environments. Strong proficiency in Python , with experience in libraries like scikit-learn, XGBoost, PyTorch, TensorFlow , or similar. Experience with end-to-end model lifecycle : from data preprocessing and feature engineering to deployment and monitoring. Deep understanding of enterprise ML architecture —model versioning, reproducibility, CI/CD for ML, and governance. Experience working with regulatory, audit, or safety constraints in data science or ML systems. Familiarity with ML Ops tools (MLflow, SageMaker, Vertex AI, etc.) and cloud platforms (AWS, Azure, GCP). Strong communication skills and an ability to translate technical outcomes into business impact. Bonus Points For Prior experience in regulated industries : banking, insurance, energy, or critical infrastructure. Experience with time-series modeling , anomaly detection, underwriting, fraud detection or risk scoring systems. Knowledge of RAG architectures , generative AI , or foundation model fine-tuning . Exposure to privacy-preserving ML , model monitoring , and bias mitigation frameworks. What You’ll Get Competitive compensation with performance-based upside Comprehensive health coverage for you and your family Opportunity to work on mission-critical AI systems where your models drive real-world decisions Ownership of core components in a platform used by top-tier enterprises Career growth in a fast-paced, high-impact startup environment Remote-first, collaborative, and high-performance team culture If you’re excited to build data science solutions that truly matter , especially in the most demanding industries, we want to hear from you.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As the Lead - Responsible AI (RAI) , you will spearhead efforts to ensure that the development, deployment, and use of artificial intelligence within our global Media & Entertainment company adheres to the highest standards of ethics, fairness, transparency, and accountability. This is a pivotal role in shaping AI governance frameworks and fostering trust in the transformative power of AI across diverse applications, including content production, distribution, personalization, and audience engagement. Based in India, you will work closely with cross-functional teams, including AI researchers, engineers, product leaders, legal experts, and business stakeholders, to embed responsible AI practices across the company. Your efforts will directly contribute to ensuring that AI solutions are inclusive, unbiased, and aligned with societal and regulatory expectations. This is your opportunity to lead a critical initiative in a fast-paced, dynamic industry where your expertise in ethical AI will influence millions of viewers worldwide. If you are passionate about the intersection of technology, ethics, and innovation, this role is for you. Strategy and Leadership Develop and lead the company’s overarching Responsible AI (RAI) strategy, ensuring alignment with business objectives and societal expectations. Provide expert advice to executive leadership on emerging risks, trends, and opportunities in Responsible AI. Drive a culture of ethical AI awareness across the organization through training, workshops, and communication. AI Governance and Compliance Establish and implement governance frameworks for AI/ML development and deployment, ensuring alignment with global regulatory and industry standards. Define and enforce policies for fairness, transparency, accountability, and privacy in AI solutions. Conduct regular audits and assessments of AI systems to identify and mitigate ethical, social, and legal risks. Develop guidelines and tools for explainable AI to enhance trust and understanding of AI systems. Collaborate with legal and compliance teams to ensure adherence to AI-related regulatory requirements, such as GDPR and other global privacy laws. Risk Assessment and Mitigation Identify potential risks in AI/ML systems, including biases, privacy issues, and unintended consequences. Design and implement risk assessment protocols to proactively address issues before deployment. Work with technical teams to improve robustness and resilience of AI systems against adversarial attacks. Ensure AI models are interpretable and accessible to stakeholders, enhancing their accountability and usability. Develop incident response plans for AI-related failures or ethical concerns. Collaboration and Stakeholder Engagement Partner with AI engineering, product, and business teams to embed responsible AI principles into the entire development lifecycle. Collaborate with external organizations, academia, and industry bodies to stay ahead of emerging trends and best practices in Responsible AI. Act as a bridge between technical and non-technical teams, ensuring responsible AI principles are well understood and implemented. Build and maintain relationships with external audit and certification bodies for responsible AI. Advocate for the organization’s Responsible AI initiatives through strategic partnerships and community engagement. Innovation and Continuous Improvement Stay abreast of the latest research and innovations in ethical AI, fairness, and governance. Promote the adoption of state-of-the-art tools, techniques, and methodologies for responsible AI. Drive innovation by encouraging cross-disciplinary research and exploration of new approaches to ethical AI. Monitor and evaluate the effectiveness of Responsible AI programs, iterating to address gaps and improve outcomes. Publish research papers, case studies, and white papers to establish the company as a leader in Responsible AI. Qualifications & Experiences Academic Qualifications: Master’s or Ph.D. in Computer Science, Data Science, Ethics, Law, or a related field, with a focus on AI/ML, ethics, or governance. Certifications or specialized training in Responsible AI, AI ethics, or governance frameworks are highly desirable. Professional Experience 8+ years of experience in AI/ML, with at least 3+ years focused on ethical AI, governance, or risk management. Proven track record in developing and implementing AI governance frameworks in large-scale organizations, preferably in the Media & Entertainment or Technology sectors. Experience with auditing AI/ML systems for bias, fairness, and compliance with global standards. Expertise in designing explainable AI systems and deploying tools to address ethical challenges. Hands-on experience with machine learning tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, AWS AI). Technical Skills Strong understanding of AI/ML technologies, fairness metrics, and interpretability techniques. Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning). Proficiency in programming languages like Python and knowledge of AI ethics libraries such as Aequitas or Fairlearn. Knowledge of global AI/ML regulations and standards (e.g., EU AI Act, GDPR). Experience in designing tools for algorithmic transparency and accountability. Other Skills Exceptional leadership and communication skills with the ability to influence stakeholders at all levels. Strong analytical and problem-solving capabilities, with a passion for innovation and ethical AI. Ability to work effectively in cross-functional and multicultural teams. Strong public speaking and presentation skills to represent the company on global platforms. A deep commitment to the principles of fairness, transparency, and inclusivity. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level About The Role We’re seeking an experienced and forward-thinking Lead AI Engineer to head the development of cutting-edge AI applications leveraging large language models (LLMs) and generative AI techniques. In this high-impact role, you will guide the architecture, deployment, and optimization of AI systems that power real-world, intelligent applications. You’ll be at the intersection of research and engineering, leading a team of top-tier AI engineers while shaping the future of AI capabilities within the organization. What You’ll Do Architect AI Solutions Design and lead the development of end-to-end AI systems that leverage LLMs, retrieval-augmented generation (RAG), and autonomous agent frameworks. Model Integration and Optimization Work hands-on with both open-source (Llama, Mistral, Falcon, etc.) and proprietary models (GPT-4, Claude, Gemini), fine-tuning them for specialized applications using proprietary data. Agentic Systems & RAG Build intelligent agents capable of reasoning, planning, and performing multi-step tasks using agentic architectures and RAG pipelines with vector databases like FAISS or Weaviate. Production-Grade Engineering Oversee scalable deployment, versioning, and monitoring of AI models in production using modern MLOps practices and cloud-native platforms (AWS, GCP, Azure). Cross-functional Collaboration Partner with data scientists, product managers, and software engineers to transform complex problems into elegant AI-driven products. AI Team Leadership Mentor a team of engineers, drive technical direction, and manage project priorities, sprint planning, and roadmap execution. Innovation & Research Stay ahead of the curve by tracking advancements in the AI/LLM space. Promote a culture of experimentation, rapid prototyping, and responsible AI. Ethics & Evaluation Implement best practices for model interpretability, bias mitigation, and responsible deployment of AI systems. Experience Must-Have Qualifications 5+ years of hands-on experience in AI/ML engineering with a primary focus on NLP and LLMs. Proven experience in designing and deploying production-grade AI systems. Technical Skills Strong command of Python and frameworks like PyTorch , TensorFlow , LangChain , and LlamaIndex . Solid knowledge of transformer architectures , embeddings, fine-tuning techniques, and tokenization. Experience integrating with vector databases (FAISS, Pinecone, Weaviate). Proficiency in designing APIs and working with distributed systems . Familiarity with MLOps , containerization (Docker), and orchestration tools (Kubernetes). Leadership Experience managing engineering teams and projects, with a track record of shipping successful AI solutions. Cloud & Deployment Deep experience with deploying AI systems on AWS , GCP , or Azure , and optimizing workloads for cost and performance. Nice-to-Have Experience working with multi-modal AI models (text, image, video, audio). Knowledge of RLHF (Reinforcement Learning from Human Feedback) methodologies. Contributions to open-source AI projects or peer-reviewed research. Prior experience at a startup or AI research lab . Show more Show less

Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist · 2 to 3 years of experience in Generative AI solution development · Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. · Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. · Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. · Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. · Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. · Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. · Strong grasp of memory architectures, tool use, and action planning within AI agents. · Autonomy Score: Measures the degree of independence in decision-making. · Collaboration Efficiency: Evaluates the ability of agents to work together and share information. · Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. · Response Time: Measures the latency in agent decision-making and execution. · Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. · Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. · Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. · Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. · Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. · Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. · Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. · Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). · Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. · Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. · Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. · Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. · Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. · Expertise in Python, R, TensorFlow, Keras, and PyTorch. · Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. · Proficiency in advanced statistical methods and transformer-based text processing. · Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. · Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails · Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. · Experience in cloud services like Azure, GCP and AWS · Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI · Large Language Models (LLMs): GPT, Educational qualification: BE,BTECH or PHD

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Associate Architect - Machine Learning Experience: 6 to 9 Years Location: Mumbai/Bangalore/Trivandrum Must Have Skills 6+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Good Experience developing applications using LLMs with Langchain. Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock. Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2. Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch. Strong familiarity with higher-level trends in LLMs and open-source platforms. Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. Implement and manage MLOps principles and best practices for Gen AI models Thorough understanding of NLP techniques for text representation and modeling Able to effectively design software architecture as required Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Good To Have Skills Experience of working for customers/workloads in the Edtech domain with use cases. Experience with software development If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

Years of exp : 10 - 15 yrs Location : Noida Join us as Cloud Engineer at Dailoqa , where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To be successful as Cloud Engineer you should have experience with: Cloud sourcing, networks, VMs, performance, scaling, availability, storage, security, access management Deep expertise in one or more cloud platforms: AWS, Azure, GCP Strong experience in containerization and orchestration (Docker, Kubernetes, Helm) Familiarity with CI/CD tools: GitHub Actions, Jenkins, Azure DevOps, ArgoCD, etc. Proficiency in scripting languages (Python, Bash, PowerShell) Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML Strong understanding of DevOps principles applied to ML workflows. Key Responsibilities may include: Design and implement scalable, cost-optimized, and secure infrastructure for AI-driven platforms. Implement infrastructure as code using tools like Terraform, ARM, or Cloud Formation. Automate infrastructure provisioning, CI/CD pipelines, and model deployment workflows. Ensure version control, repeatability, and compliance across all infrastructure components. Set up monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, ELK, or Azure Monitor. Optimize performance and resource utilization of AI workloads including GPU-based training/inference Experience with Snowflake, Databricks for collaborative ML development and scalable data processing. Understanding model interpretability, responsible AI, and governance. Contributions to open-source MLOps tools or communities. Strong leadership, communication, and cross-functional collaboration skills. Knowledge of data privacy, model governance, and regulatory compliance in AI systems. Exposure to LangChain, Vector DBs (e. g. , FAISS, Pinecone), and retrieval-augmented generation (RAG) pipelines. Show more Show less

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life As a Data Scientist, where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. Data Scientist – Global Finance Analytics COE Careers that Change Lives Join our Global Finance Analytics Center of Excellence (COE) as a Data Scientist , where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. This role requires an average of 2-3 days per week of overlapping work hours with the USA team to ensure seamless collaboration. A Day in the Life As a Data Scientist , you will: Develop and deploy AI/ML models for forecasting, anomaly detection, and optimization in financial and business analytics. Work with structured and unstructured data, ensuring data quality, feature engineering, and model interpretability. Collaborate with Data Engineers to build scalable data pipelines and integrate machine learning solutions into production systems. Perform exploratory data analysis (EDA) and statistical modeling to uncover insights and trends. Optimize algorithms for performance, scalability, and business relevance. Present complex findings in an understandable and actionable manner to senior stakeholders. Continuously explore new AI/ML methodologies and tools to enhance analytical capabilities. Must Have: Minimum Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in AI/ML, predictive modeling, and statistical analysis. Strong proficiency in Python, SQL, and cloud platforms (Azure, AWS, or GCP). Experience with machine learning frameworks such as TensorFlow, Scikit-Learn, PyTorch, or XGBoost. Exposure to financial data modeling and analytics. Strong problem-solving and critical-thinking skills. Nice to Have Experience working with Snowflake and large-scale data environments. Knowledge of NLP, deep learning, and AI-driven automation. Familiarity with Power BI for advanced data visualization. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

HCL is hiring for AIML Developer role Location: Noida (Hybrid) Must have skills: Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering: The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Show more Show less