12 Model Explainability Jobs

Job Description Job Title: AI Architect Location: Hyd/Mum/Bang Exp Level: 15+ Education: Any Dgree Job Summary: Scope out, design and oversee the architecture of AI and machine learning solutions across products and platforms for our clients Collaborate with team members to translate business requirements into AI-enabled solutions at either a Roadmap, Proof of Value, Full Implementation or Managed Service support capability and service offering. Aid in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies. Create reusable and scalable AI models and pipelines for our clients thereby ensuring performance, reliability, and security. Develop and enforce best practices for model governance, MLOps, and responsible AI. Evaluate and integrate third-party AI services and APIs when needed. Drive innovation by staying current with AI trends and emerging technologies (e.g., LLMs, edge AI). Required Qualifications: Bachelor&aposs or Masters degree in Computer Science, Data Science, AI, or related field. 7+ years of experience in software development, with at least 3 years in AI/ML architecture roles. Strong proficiency in machine learning, deep learning, data engineering, and distributed systems. Experience with Google cloud-based AI platforms such as Google Vertex AI. Proficiency in Python and experience with ML libraries. Solid understanding of AI data governance, model explainability, and ethical AI principles. Excellent communication skills to work with both technical and non-technical stakeholders. Demonstrated experience delivering scalable AI projects that drive business value. Preferred Skills: Experience deploying generative AI models and LLMs leveraging RAG models (e.g., GPT, Google, Claude, open-source models). Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML. Knowledge of NLP, computer vision, or reinforcement learning. Hands-on development and support of AI solutions. Solid client communication skills. About Us Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner. About The Team The Enterprise Applications Cloud ERP practice specializes on Oracle technology and supports our clients full-life cycle needs for both on-prem and cloud products. The practice itself is 100+ FTEs strong located in the US, Colombia, and India and is the fastest growing practice in Datavail. The right person will exemplify Datavails core values (Desire to service, Low Ego, Hard Work). So if you are looking for a company that loves it clients just as much we love our team then this is the right place for you. Show more Show less

As an AI Architect Senior Consultant in Infosys Global Consulting Practice, you will play a crucial role in leading the design and implementation of cutting-edge AI solutions for clients across various industries. Your responsibilities will include designing AI solutions such as Generative AI and Conversational AI, ensuring scalability, security, compliance, and adherence to Responsible AI guidelines. You will also architect and deploy robust AI/ML models on both Cloud-based and on-premises infrastructures, optimizing for performance and efficiency in real-world applications. Your expertise in NLP, LLMs, and Computer Vision will be instrumental in guiding the team to identify and select the most optimized solutions for client needs. Building strong relationships with key decision-makers and technical teams at major hyperscalers like AWS, Azure, and GCP will be essential. Managing multiple projects concurrently, collaborating with cross-functional teams, and staying updated on the latest advancements in AI/ML research and technologies will be key aspects of your role. To qualify for this position, you must have a Master's degree in computer science, Artificial Intelligence, or a related field, along with 11+ years of experience in designing, developing, and deploying AI/ML solutions. You should have a proven track record of leading complex AI projects and expertise in Traditional Machine Learning, NLP, and cloud platforms such as AWS, GCP, and Azure. Strong problem-solving skills, excellent communication abilities, proficiency in Python, and knowledge of Probability Statistics, Optimization techniques, and containerization technologies are highly valued. Joining Infosys Consulting means becoming part of a global management consulting firm that helps renowned brands transform and innovate using disruptive technology. Our consultants are industry experts driving change agendas to create lasting competitive advantage. If you are passionate about AI architecture and ready to drive innovation in a dynamic environment, we invite you to explore this exciting opportunity with us. For more information about Infosys Consulting and to explore our transformative solutions across Business Transformation, Enterprise Technology Strategy, and Strategy and design domains, visit www.InfosysConsultingInsights.com.,

NTT DATA is looking for a Salesforce Developer- Agentforce, Experience Cloud to join their team in Pune, Maharashtra, India. As a Senior Salesforce Developer, you will be responsible for designing, developing, and implementing AI-driven solutions using Salesforce Einstein features for Sales and Experience Cloud. You will collaborate with architects, AI engineers, product managers, data scientists, and developers to integrate third-party applications, automate workflows, and create intelligent data-driven decision systems within Sales Cloud and Experience Cloud environments. Your key responsibilities will include building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. You will also design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management. Collaborating with stakeholders to gather requirements and ensure successful implementation of AI/ML solutions aligned with business goals will be a crucial part of your role. To be successful in this position, you should have 6+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, and data integration using REST APIs is required. You should have a good understanding of machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, and other AI applications. Preferred skills include Salesforce certifications in areas such as Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate. Hands-on experience with Salesforce Data Cloud and Agentforce, strong command of Apex, Lightning Web Components (LWC), SOQL, and Flow Builder, as well as experience in integrating Salesforce with external systems using REST, SOAP, middleware, or event platforms will be advantageous. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, they offer business and technology consulting, data and artificial intelligence solutions, industry expertise, application development, infrastructure management, and digital and AI infrastructure services worldwide. Join NTT DATA to be part of a diverse team and contribute to shaping the digital future. Visit us at us.nttdata.com.,

The Senior Data Scientist role at Yubi, formerly known as CredAvenue, offers an exciting opportunity for a skilled individual with 3 to 5 years of experience in the field of data science and machine learning. As a Senior Data Scientist, you will be instrumental in developing cutting-edge Credit Risk and Fraud Models within a dynamic and innovative environment. Your primary responsibility will be to design and build sophisticated credit risk and fraud models that provide accurate assessments while ensuring compliance with regulatory requirements. Your expertise in machine learning algorithms, statistical analysis, and Python programming will be key in driving innovation and delivering business value to our clients. Key Responsibilities - Develop and deploy credit risk and fraud models that are accurate, explainable, and compliant with regulatory frameworks. - Lead the development of a machine learning platform that allows clients to customize risk models for tailored risk management solutions. - Align data solutions with business objectives and technical constraints, adapting to market dynamics and client requirements. - Collaborate with cross-functional teams to manage various aspects of the product lifecycle from conception to delivery. - Monitor model performance, ensure ongoing accuracy, and regulatory compliance through retraining as necessary. - Stay informed about industry trends, regulations, and emerging technologies to enhance models and platform capabilities. - Provide mentorship and guidance to junior data scientists and engineers within the team. Technical Skills - Proficiency in machine learning algorithms and their application to risk assessment. - Expertise in statistical analysis, data modeling, and hypothesis testing for model validation. - Ability to develop end-to-end data products and solutions. - Familiarity with model explainability techniques and regulatory compliance. - Strong programming skills in Python, with knowledge of PySpark and cloud platforms like AWS. - Experience with developing backend microservices and MLOps using Fast API. - Familiarity with NLP techniques is a plus. Domain Skills - Prior experience working with finance and risk teams to align model outputs with business objectives. - Understanding of credit risk management processes and financial regulations. - Knowledge of credit risk concepts such as loan performance metrics and risk mitigation strategies. Education and Experience - Bachelor's or advanced degree in Data Science, Statistics, Mathematics, Computer Science, or related field. - 3 to 5 years of experience in data science and machine learning, preferably in the financial sector or credit risk management. Join Yubi, where innovation and growth are at the forefront, and be part of a team that is revolutionizing the debt market globally.,

Job Description Role Summary We are seeking a Generative AI/ML Engineer to design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing. You will work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems. Key Responsibilities Design, develop, and fine-tune LLM-powered applications for enterprise use cases. Experience in evaluating LLM applications and developing observability frameworks Implement RAG pipelines using vector databases, embeddings, and optimized retrieval strategies. Build agentic AI workflows with multi-step reasoning, tool calling, and integration with APIs. Integrate GenAI solutions into multi-cloud or hybrid cloud environments (AWS, Azure, GCP). Develop and optimize edge AI deployments for low-latency use cases. Create data strategy, ingestion, transformation, enrichment, validations, quality checks via pipelines for AI ingestion, preprocessing, and governance. Implement AI safety, bias mitigation, and compliance measures. Work closely with LLMOps teams to enable continuous integration & deployment of AI models. Write well-documented, production-ready code in Python, Node.js, Rust . Benchmark and evaluate model performance , latency, and cost-efficiency. Required Skills Proficient in cloud AI services (e.g. AWS Bedrock/SageMaker, Azure AI Foundry, Google Vertex AI, Anthropic, OpenAI APIs). Strong proficiency with Python and LLM frameworks (e.g. PromptFlow, LangGraph, LlamaIndex, HuggingFace, PyTorch, TensorFlow). Hands-on experience with vector DBs (e.g. Pinecone, Weaviate, Milvus, FAISS, Azure Cognitive Search). Experience building RAG-based and agentic AI solutions. Familiarity with Edge AI frameworks (e.g. NVIDIA Jetson, AWS IoT Greengrass, Azure Percept). Multi-modal AI (text, image, speech, video) experience. Strong grasp of APIs, microservices, and event-driven architectures . Knowledge of AI governance (data privacy, model explainability, security). Experience in containerized deployments (Docker, Kubernetes, serverless AI functions). Preferred Skills Generative agents with memory and planning capabilities . Real-time AI streaming with WebSockets or Kafka. Prior contributions to open-source GenAI projects . Experience in build, test and deploy various ML models Experience in building MCP, A2A protocol Show more Show less

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

We are seeking a highly skilled Senior Salesforce AI Developer with over 6 years of experience in Salesforce CRM development and 2 years of expertise in developing AI solutions around Sales and Service Cloud using Salesforce Einstein. The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations. As a Salesforce AI Developer, your role involves collaborating closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce. Your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service Cloud. You will collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation. Additionally, you will lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience. Furthermore, you will collaborate with product managers, data scientists, and developers to ensure the successful implementation of AI/ML solutions aligned with business goals. You will implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud. Using Salesforce Einstein, you will apply natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies. Your role will involve analyzing customer data to identify actionable insights and recommend tailored product offerings. You will monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs. Additionally, you will ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models. Key Qualifications: - 6+ years of overall experience in Salesforce development with at least 2+ years of relevant hands-on experience in Salesforce AI Solutions development. - Expertise in Salesforce Einstein AI features, including Sales Cloud Einstein, Service Cloud Einstein, Einstein Copilot, Prompt Builder, Einstein Studio, Einstein Chatbot, etc. - Experience in customizing applications using Apex, LWC, and Lightning Flows. - Proficiency in data modeling, data integration using REST APIs, and handling large datasets within Salesforce. - Strong understanding of machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, and other AI applications. - Ability to translate complex business needs into actionable AI/ML solutions and ensure data security and compliance standards are met. Preferred Skills (Good to have): - Salesforce certifications in areas such as Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate. - Experience in Salesforce Data Cloud, MLOps practices, automating model training and deployment, and working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights. - Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud. - Proficiency in Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports, Python, TensorFlow, PyTorch for developing ML models, and NLP, LLMs, and LLM model development.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

House of Shipping is seeking a high-caliber Data Science Lead to join their team in Hyderabad. With a background of 15-18 years in data science, including at least 5 years in leadership roles, the ideal candidate will have a proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing. Strong expertise in statistical learning, ML architecture, productionizing models, and impact tracking is essential for this role. As the Data Science Lead, you will be responsible for leading enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This position requires a blend of technical leadership and strategic alignment with various business units to deliver measurable business impact. Key responsibilities include defining and driving the data science roadmap across forecasting, route optimization, warehouse simulation, inventory management, and fraud detection. You will work closely with engineering teams to architect end-to-end pipelines, from data ingestion to API deployment. Proficiency in Python and MLOps tools like Scikit-Learn, XGBoost, PyTorch, MLflow, Vertex AI, or AWS SageMaker is crucial for success in this role. Collaboration with operations, product, and technology teams to prioritize AI use cases and define business metrics will be a key aspect of the job. Additionally, you will be responsible for managing experimentation frameworks, mentoring team members, ensuring model validation, and contributing to organizational data maturity. The ideal candidate will possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Statistics, or Operations Research. Certifications in Cloud ML stacks, MLOps, or Applied AI are preferred. To excel in this role, you should have a strategic vision in AI applications across the supply chain, strong team mentorship skills, expertise in statistical and ML frameworks, and experience in MLOps pipeline management. Excellent business alignment and executive communication skills are also essential for this position. If you are a data science leader looking to make a significant impact in the logistics industry, we encourage you to apply for this exciting opportunity with House of Shipping.,

About the Role As a skilled Lead Data Scientist at Yubi, you will play a crucial role in designing, developing, and deploying ML/ RL models for Collection Campaign Recommendations/ Optimizations. Your primary responsibility will be to experiment and optimize collection campaigns across digital, telecalling, and field platforms. Leveraging your expertise in machine learning and strong Python programming skills, you will drive innovation and deliver business value for our clients. Key Responsibilities - Develop, implement, and maintain advanced analytical models and algorithms tailored to enhance debt collection processes. - Collaborate with business stakeholders to identify data-driven opportunities for improving debt collection strategies. - Continuously enhance existing models and integrate new data sources to optimize our approach. - Take ownership of the end-to-end process of metric design, tracking, and reporting related to debt collection performance. - Regularly improve and update metrics to align with business objectives and regulatory requirements. - Effectively communicate findings to both technical and non-technical stakeholders. - Mentor, train, and support junior data scientists, fostering a culture of continuous improvement and collaboration. - Lead cross-functional teams on data projects, ensuring alignment between data science initiatives and business goals. - Stay updated on the latest industry trends, tools, and best practices in analytics and debt management. Required Skills Technical Skills: - Profound understanding of machine learning algorithms, including supervised, unsupervised, and ensemble methods, and their application to risk. - Expertise in statistical analysis, hypothesis testing, regression analysis, probability theory, and data modeling techniques to extract insights and validate machine learning models. - Experience in designing, developing, and delivering end-to-end data products and solutions. - Proficiency in model explainability techniques (e.g., SHAP, LIME) and regulatory compliance for risk models. - Strong proficiency in Python. - Familiarity with PySpark is a plus. - Ability to build and deploy models on cloud platforms (AWS). - Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. - Good to have experience with NLP techniques. Domain Skills (Good to have): - Previous domain expertise in debt collection processes, credit risk assessment, regulatory compliance, and industry best practices. - Demonstrated ability to design, implement, and optimize performance metrics and key performance indicators tailored for debt recovery initiatives. Education and Experience: - Bachelor's/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - 5 to 8 years of experience in the data science and machine learning domain. - Experience in the financial sector or Collection team is a bonus.,

Role & responsibilities Please Note - This is not a walk in interview only shortlisted candidates will be called. Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science : statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices — CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development