8 Applied Ai Jobs

Role & responsibilities Design & implement agentic workflows using frameworks like LangGraph, CrewAI(or equivalent), including tool orchestration, planning/replanning, and error recovery. Add guardrails & safety : Prompt hardening, output validation (JSON schema/Pydantic), policy filters, jailbreak/indirect prompt injection defenses. Ground responses with context : build RAG pipelines clinical notes, guidelines, and knowledge bases; handle retrieval quality (chunking, reranking), citation & traceability. Engineer loops : review/approval queues, escalation paths, fallbacks, and exception handling Manage agent state & memory : conversation/state graphs, checkpoints, and session continuity using Redis/Postgres/object stores; implement short- and long-term memory with expiry and privacy controls. Observability & evaluation : add traces/metrics, run evals for faithfulness, relevance, and safety (e.g., Ragas), plus task success and Tool Utilization Efficacy. Productionize : package services (Docker), deploy to cloud (AWS/Azure/GCP), manage secrets, implement role-based access controls, audit trails, and cost/latency budgets. Preferred candidate profile 2 to 3 years software experience (Python preferred) building back-end services or applied AI features; comfort with async I/O, APIs, and testing. Hands-on with at least one agent framework (LangGraph, CrewAI) and function/tool calling patterns. Practical guardrails experience output schema validation, content/safety filters, and prompt/policy enforcement. Context/RAG: vector stores, embedding pipelines, rerankers, and citation-aware generation. State management: designing state machines/graphs, persistence (Redis/Postgres/S3), checkpointing, idempotency, and replay. Solid CI/CD habits, containerization (Docker), and cloud deployment; observability (logs, metrics, traces).

NVIDIA continuously reinvents itself, with the invention of the GPU sparking the growth of the PC gaming market, redefining modern computer graphics, and revolutionizing parallel computing. In today's world, the ongoing research in artificial intelligence demands highly scalable and massively parallel computation horsepower, an area where NVIDIA GPUs excel. As part of NVIDIA, you will find yourself in a dynamic environment that encourages personal growth and innovation. Our mission is to amplify human creativity and intelligence by addressing complex challenges that matter to the world. You will have the opportunity to work in a diverse and supportive team where everyone is encouraged to deliver their best work. The Design-for-Test Engineering team at NVIDIA is involved in groundbreaking innovations related to crafting creative solutions for DFT architecture, verification, and post-silicon validation on some of the industry's most complex semiconductor chips. Your responsibilities will include exploring Applied AI solutions for DFX and VLSI problem statements, architecting end-to-end generative AI solutions with a focus on LLMs, RAGs & Agentic AI workflows, deploying predictive ML models for efficient Silicon Lifecycle Management of NVIDIA's chips, collaborating with various VLSI & DFX teams to understand and address language-related engineering challenges, and working closely with cross-functional AI teams to contribute to the evolution of generative AI technologies. To be successful in this role, you should have a BSEE or MSEE from reputed institutions with at least 2 years of experience in DFT, VLSI & Applied Machine Learning. Experience in deploying generative AI solutions for engineering use cases, familiarity with DFT & VLSI concepts, application of AI for EDA-related problem-solving, and proficiency in statistical tools for data analysis are required. Strong programming and scripting skills in Perl, Python, C++, or TCL are desired, along with excellent organization, time management, and communication skills. If you are a self-motivated individual with a passion for technology and a drive to tackle rare challenges, NVIDIA offers competitive salaries, comprehensive benefits, and the opportunity to work alongside some of the most brilliant minds in the industry. Join our world-class engineering teams and be part of our unprecedented growth by applying for this exciting opportunity.,

Enhancor is a customer service firm specializing in outsourced accounting, regulatory compliance, information technology, and financial services for real estate and property management companies based in the U.S. With offices in New York and Pune, Enhancor provides 24/7, around-the-clock resources to its clients. The Enhancor team has experience interfacing with some of the largest property managers in the world, providing services to multi-family operators, including those with more than $7 billion in real estate assets. We are looking for a Senior AI & Python Developer to lead the design and development of AI-powered features across our platform. You will play a pivotal role in building scalable machine learning systems and integrating AI into our core product offerings. This is an exciting opportunity to work in a fast-paced, innovation-driven environment where your work directly impacts thousands of users. Key Responsibilities: - Design and implement scalable automation frameworks and tools to streamline business and engineering processes. - Lead the development and deployment of machine learning models and AI services tailored for our SaaS platform. - Work closely with cross-functional teams to identify opportunities for automation and streamline workflows to improve process efficiency. - Architect, write, and maintain clean, efficient Python code for AI pipelines and microservices. - Work with large datasets: data preprocessing, model training, evaluation, and optimization. - Drive the implementation of AI/ML features such as predictive analytics, intelligent recommendations, and automated decision-making. - Ensure robust monitoring, testing, and CI/CD practices for AI models in production. - Guide and mentor junior team members on AI best practices and coding standards. - Stay current with the latest AI research and industry trends and evaluate their relevance for product innovation. - Continuously evaluate and optimize existing processes to improve performance, reduce costs, and enhance scalability. Requirements: - Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, or a related field. - 5+ years of professional experience in Python development. - 3+ years of hands-on experience in machine learning, deep learning, or applied AI. - Preferred experience supporting in the real estate and property management industry. - Proven track record of deploying ML models in production environments, preferably for SaaS applications. - Familiarity with ML Ops, model lifecycle management, and data versioning tools (e.g., MLflow, DVC). - Excellent problem-solving skills and the ability to work independently in a dynamic team environment. - Experience with generative AI (e.g., GPT, LLM fine-tuning or prompt engineering). - Background in NLP, computer vision, or recommender systems. - Experience working in Agile environments with tools like Jira, Confluence, or Notion.,

Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. Ascendion is an ally for enterprise digital innovation, making and managing software platforms with headquarters in New Jersey. The company combines technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value. Ascendion drives clients" digital journeys with efficiency and velocity, boasting a team of 11000+ Ascenders globally. With 40+ offices in 12 countries, including 8 Delivery hubs and 3 AI Studios, Ascendion offers AI-powered services in Applied AI, Cloud, Data, Experience, Platform engineering, Product engineering, and Quality engineering across various industries such as BFSI, Comms-media & entertainment, Retail & consumer goods, Healthcare & life sciences, Hi-Tech, and Energy & utility. The job location for this position is in Hyderabad/Bangalore, with working hours from 9 AM to 6 PM IST. **Responsibilities:** - Reviewing the job description to understand client requirements and executing a search plan to identify potential candidates. - Sourcing candidates using various channels like job portals, internal database, and social media. - Assessing applicants" relevant experience, knowledge, skills, and competencies. - Owning the scheduling, coordination, and end-to-end recruitment cycle. - Building strong candidate relationships and credibility to leverage trust for referrals. - Negotiating wage rates and employment terms while gaining commitment from candidates for current and future job requirements. - Submitting candidates" resumes to hiring managers for further scrutiny or consideration. - Maintaining timely communication with candidates and providing updates on their candidature. - Engaging regularly with candidates through email, voice, and video calls. **Requirements:** - Excellent written and verbal communication skills. - Strong negotiation and convincing skills. - Proficiency with MS Office. - Effective organization and coordination skills. - Relationship management abilities. - Learning agility. - Proactive and go-getter attitude. Website: www.ascendion.com,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. As a part of Capgemini Invent, your role will involve coordinating between IT and Business, acting as a business consultant to analyze and understand business challenges beyond what is observed in technology and providing strategic solutions. You will be responsible for developing and refining the Vision and Strategy leading to a Value Generation Roadmap for the account globally. Collaborating with functional teams, technology experts, and sector specialists, you will co-develop end-to-end digital solutions tailored to clients" needs. Your profile for this role includes a preferred MBA or master's degree with a relevant specialization, relevant industry expertise in areas such as Supply Chain, Retail, Finance, Manufacturing, or Banking. You should have experience in generating new knowledge or creating innovative solutions for a firm. As a growth and results-focused leader, you should possess strong experience in Lean and Digital Transformation in top-notch organizations. Additionally, you should have process experience in Finance, Supply Chain, Customer Services, Retail, and Banking, with a basic understanding of corporate IT and systems like Salesforce, SAP Commerce Cloud, or S/4HANA, along with related processes, technologies, and system integration. Qualifications and demonstrated experience for leading Lean projects or application of 6Sigma methodologies with quantifiable efficiency and quality improvements are considered a plus. Your responsibilities will include overseeing the implementation of new technologies, ensuring their smooth integration with existing systems, and focusing on improving customer experience through the adoption of digital tools and practices. You will be required to develop end-to-end business process maps, data flow diagrams, and a knowledge base across applications and peripheral systems to help drive Business KPIs. Furthermore, you should be digitally savvy with high levels of consultative selling skills and Applied AI experience. Global exposure with a consistent track record for digital projects across various tools such as Robotics, MS Visio, Signavio, PowerBI, Tableau, PowerApps, AI, automation, Analytics, and Gen AI will be advantageous. At Capgemini, we recognize the significance of flexible work arrangements to provide support for maintaining a healthy work-life balance. Our mission is centered around your career growth, offering an array of career growth programs and diverse professions to support you in exploring a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner trusted by its clients to unlock the value of technology. With a responsible and diverse group of team members, Capgemini is committed to accelerating the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. The Group's strong heritage, deep industry expertise, and partner ecosystem enable it to deliver end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by market-leading capabilities in AI, cloud, and data. In 2023, Capgemini reported global revenues of 22.5 billion, demonstrating its commitment to addressing the entire breadth of its clients" business needs.,

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.,

As an Engineer 4, Machine Learning at Comcast, you will be a vital part of our international engineering team, dedicated to transforming innovative ideas into cutting-edge products and solutions that cater to the needs of our customers. At Comcast, we provide an environment that fosters innovation and encourages you to bring your authentic self to work. Your contributions will be valued and recognized, allowing you to showcase your skills and expertise while achieving personal and professional growth. In this senior-level data science role, you will be responsible for leading the design, development, and implementation of advanced time series forecasting models. Your primary focus will be on utilizing various techniques such as ARIMA, Exponential Smoothing, Seasonal Decomposition, Prophet, LSTM networks, and other cutting-edge algorithms to predict future trends based on historical data. Your analytical skills will be put to the test as you thoroughly analyze large volumes of time series data to identify patterns, trends, seasonality, and anomalies. Key Responsibilities: - Design and develop complex time series forecasting models based on business needs - Analyze large volumes of time series data to extract valuable insights - Fine-tune LLM models and prototype solutions for ML/LLM operations - Lead a team of data scientists and engineers working on time series forecasting projects - Provide technical guidance, mentorship, and knowledge transfer to team members To excel in this role, you should possess a Bachelor's Degree and have 7-10 years of relevant work experience. While having a Bachelor's Degree is preferred, Comcast also values applicants with a combination of coursework and experience or extensive related professional experience. At Comcast, we are committed to supporting our employees both personally and professionally. We offer comprehensive benefits that cater to your physical, financial, and emotional well-being, ensuring that you have the support you need to thrive in your career and personal life. If you are a results-driven, adaptable, and inventive individual who thrives in a collaborative team environment, we invite you to fast-forward your career with us at Comcast in Chennai, India.,

As an Engineer 4 specializing in Machine Learning at Comcast, you will be a crucial part of our international engineering team. Your primary responsibility will involve designing, developing, and implementing advanced time series forecasting models to predict future trends based on historical data. Your expertise will be pivotal in creating cutting-edge solutions that drive innovation and enhance customer experiences. Key Responsibilities: - Lead the design and development of complex time series forecasting models utilizing various techniques such as ARIMA, Exponential Smoothing, Seasonal Decomposition, Prophet, LSTM networks, and other advanced algorithms tailored to meet business requirements. - Conduct in-depth analysis of large volumes of time series data to identify patterns, trends, seasonality, and anomalies. - Fine-tune LLM models and focus on time series models to optimize performance. - Prototype and create solutions for ML/LLM operations and Applied AI. - Supervise a team of data scientists and engineers dedicated to time series forecasting projects. - Offer technical guidance, mentorship, and knowledge sharing on time series analysis techniques and best practices to team members. At Comcast, we value employees who embody the following principles: - Embrace our Operating Principles as guidelines for your work. - Prioritize the customer experience by consistently putting customers first and providing seamless digital options. - Stay informed and enthusiastic about our technology, products, and services to effectively advocate for them. - Foster teamwork and remain open to new ideas to achieve significant milestones together. - Participate actively in the Net Promoter System, contributing to employee and customer feedback to enhance our services. - Drive results, growth, respect inclusion and diversity, and act in the best interests of all stakeholders. Educational Requirement: Bachelor's Degree While a Bachelor's Degree is preferred, Comcast may also consider candidates with a combination of coursework and experience or significant related professional experience. Relevant Work Experience: 7-10 Years Join us at Comcast and be part of our dynamic team dedicated to revolutionizing the media and technology industry. Fast-forward your career with us and contribute to creating exceptional entertainment and online experiences for millions of customers worldwide.,