2079 Reinforcement Jobs - Page 24

Generative AI Architect/Lead Location: Hyderabad / Bangalore/ Chennai Notice period : Immediate to 60days Key Responsibilities Strategic Leadership : Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives. Architecture Design : Architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks. Technical Guidance : Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment. Project Management : Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization. Collaboration : Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes. Performance Monitoring : Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications. CI/CD Pipeline Management : Design and manage continuous integration and continuous deployment pipelines for generative AI solutions. API Development : Define and deliver quality API access for various generative AI services. Team Development : Recruit, mentor, and coach team members to foster a culture of continuous learning. Required Qualifications Educational Background :Bachelor’s degree with 8+ years of experience; or Master’s degree with 7+ years of experience; or PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering). Experience :Proven experience as an Enterprise Architect or Solution Architect focusing on AI/ML and generative AI technologies. Technical Skills : Proficiency in programming languages such as Python , R , or Java . Hands-on experience with machine learning frameworks like TensorFlow , PyTorch , and libraries for deep learning . Strong understanding of generative AI techniques, including deep generative models and reinforcement learning. Expertise in CI/CD pipeline design and management, particularly in the context of generative AI. Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes). Data Management Skills : Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Snowflake). Beneficial Skills Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., ChatGPT). Understanding of AI agents for decision-making and deployment of complex applications. Experience in the commercial domain or specific industry knowledge (e.g., biopharmaceuticals). Soft Skills Exceptional communication and collaboration abilities to work effectively with cross-functional teams. Strong problem-solving skills combined with critical thinking to analyze complex challenges. Ability to present findings and strategies clearly to leadership and stakeholders.

By submitting your email address and any other personal information to this website, you consent to such information being collected, held, used and disclosed in accordance with our PRIVACY POLICY and our website TERMS AND CONDITIONS OUR STORY: At ContractPodAi, we're pioneering the future of legal with Leah—the operating system for legal. Leah Agentic AI coordinates specialized AI agents across Leah’s suite of solutions, including industry-leading Contract Lifecycle Management (CLM), to transform how legal teams work and create value. Leah doesn't just automate tasks—it uncovers hidden opportunities and transforms legal knowledge into business advantage. Our platform breaks down silos between legal, business, and executive teams, helping organizations discover revenue opportunities, minimize risks, and turn legal insights into strategic decisions. We know innovation happens when great people come together to solve business problems. ContractPodAi is a fast-growing team of innovators spread across London, New York, Glasgow, San Francisco, Toronto, Dubai, Sydney, Mumbai, Pune, and beyond. Here, you'll: • Pioneer the future of legal AI and business transformation • Make real impact by helping organizations unlock hidden value • Collaborate with talented colleagues across continents. If you're excited by cutting-edge technology, thrive in a fast-paced environment, and want to help build something revolutionary, we want to hear from you. THE OPPORTUNITY We are seeking an experienced AI Engineer to join our growing team at ContractPodAi. In this role, you will design, develop, and deploy intelligent systems that power next-generation features in our contract lifecycle management (CLM) platform. You will work at the intersection of machine learning, software engineering, and agentic AI to create autonomous, goal-driven agents capable of reasoning, learning, and acting in dynamic environments. This is your opportunity to play a pivotal role in advancing the capabilities of legal tech with powerful agent-based systems built on the latest advancements in large language models, reinforcement learning, and autonomous AI frameworks. WHAT YOU WILL DO: Architect and implement scalable agentic AI systems that autonomously execute complex workflows and reason over legal data. Research, prototype, and productionize ML/DL models, especially in natural language processing and understanding (NLP/NLU). Build and deploy intelligent legal agents that can interpret documents, make decisions, and collaborate with users or other agents to complete multi-step tasks. Utilize modern frameworks and platforms (e.g., LangChain, AutoGen, OpenAI Function Calling, Semantic Kernel) to build multi-agent workflows. Fine-tune and integrate large language models (LLMs) using PEFT, LoRA, and RAG techniques tailored to legal domain challenges. Design and implement robust infrastructure for managing AI lifecycle, including training, inference, monitoring, and continuous learning. Collaborate with legal experts, product managers, and engineering teams to create explainable and trustworthy AI systems. Contribute to the development of our AI strategy for agent-based automation within legal operations and contract management. WHAT YOU WILL NEED: 4+ Years of experience and a strong background in computer science, software engineering, or data science with a deep focus on machine learning and NLP. Demonstrated experience building or integrating agentic AI systems (e.g., AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks). Proficiency in Python and ML/NLP libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy. Experience developing and scaling ML models (including LSTMs, BERT, Transformers) for real-world applications. Understanding of LLM training (e.g., OpenAI, LLAMA, Falcon), embeddings, and prompt engineering. Hands-on experience with Reinforcement Learning (e.g., PPO, RLHF, RLAIF). Experience extracting text and semantic information from structured and unstructured documents (PDFs, Images, etc.). Comfort working in Agile/Scrum environments and collaborating across cross-functional teams. Passion for innovation in AI and a strong desire to build autonomous systems that solve complex, real-world problems. BENEFITS: Competitive salary Opportunity to work in a fast-moving, high growth SaaS company Paid Time off Generous Employee Referral program At ContractPodAi we believe in creating a diverse and inclusive workplace where everyone feels heard and valued. We are proud to be an Equal Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Company Description Creative Studio and Associates, founded in 2009 and based in Bhubaneswar, has additional offices in New Delhi and Rourkela. Our team, a balanced mix of youth and experience, is passionately involved in all projects from inception to completion, ensuring delivery of quality and reinforcement of the design concept. We utilize sketching, physical models, and computer visualizations to experiment and innovate, achieving architecture that balances sensitive contextual response with elegant functionality. Committed to delivering high-quality projects, we focus on innovative design solutions and excellent value, ensuring client satisfaction through careful control of cost and program. Role Description This is a full-time on-site role for an Architect located in Bhubaneswar. The Architect will be responsible for designing architectural projects, developing project plans, overseeing project management, and integrating innovative design solutions. Day-to-day tasks include sketching designs, building models, creating computer visualizations, collaborating with the project team, and ensuring the project meets client requirements and quality standards. Qualifications Expertise in Architecture and Architectural Design Experience in Project Management and developing project plans Ability to create computer visualizations and physical models Excellent communication and teamwork skills Bachelor’s degree in Architecture. Professional licensure or certification is a plus

Nirmal Industrial Control Pvt. Ltd. :- Established with a commitment to pioneering innovation and reliability , Nirmal Industrial Controls Pvt Ltd stands as a leader in developing cutting-edge solutions for diverse industrial sectors. With a rich legacy spanning across Nirmal, Securamax, Mesura Nirmal, and REPCO brands, we have consistently set benchmarks in meeting the evolving needs of industries worldwide. Nirmal has been at the forefront of Self-Actuated Pressure Control Valves and Allied Process Control Systems. Our name stands for reliability and precision across industries like Oil & Gas, Petrochemical, Pharmaceutical, Steel & Power, Food & Dairy, Plastic, and Nuclear Power. Our global footprint and industry-spanning expertise have earned us the title: " Expertise that delivers ." Website : https://www.nirmal.co.in Responsibilities :- • Ensure compliance with various ASME, API & IBR codes and standards. • Perform Pipe Stress analysis (Static & Dynamic) of Critical Piping Systems in accordance with ASME B31.3 Code Requirements, using CAESAR II software. • Knowledge of Stress Analysis for Compressor, Pumps, Air coolers piping system is preferred. • Perform flange leakage checks, blast analysis, transit analysis, slug checks, wind and seismic analysis etc • Design and selection of pipe supports, springs hangers & Expansion joints. Ensure compliance with various ASME, API & IBR codes and standards. • Perform valve take off from P&IDs. • Review Piping isometrics take-offs. • Keep track of all Design changes and managing surplus / needs. • Monitor material requirements and adjust material delta requisitions. • Knowledgeable compiling of requisition packages with all applicable documents. • Design and selection of Piping Material Specification for Piping Systems. • Preparation of Piping Line Class Specifications. • Review Isometric and Piping Spool. • Preparation of Piping BOM . • Preparation of Pipe Wall Thickness Calculations. • Preparation of Valve Material Specifications. • Preparation of MR (Material Requisition) for Getting Quotations. • Review the Vendor offers, do technical discussions with the vendors, and prepare TBE (Technical Bid Evaluation). • Preparation of Material Requisition for Purchase. • Technically Qualify for Vendor Documents Review. • Prepare the list of Piping Specialty Items like Steam Traps, Strainers, Hoses, etc. • Preparation of Valve Data Sheets. • Preparation of Data Sheets for the Piping Specialty Items. • Preparation of Line Blank Thickness Calculation. • Familiar with Material Grades ASTM, ASME, API, etc. • Knowledge in Testing and Inspection Requirements for Piping Components and Valves Compliance with Specifications and Industrial Quality Standards. • Coordinate with Civil/Structural & Mechanical groups to ensure loads are being effectively communicated. • Perform reinforcement evaluation at pipe supports and branch connections. • Prepare project piping support specification & Design Basis. • Perform Procurement Engineering within stipulated time frame of the project. Coordinate with vendors, subcontractors, third party consultants, etc. to ensure timely review of documents and that comments are made with required quality level. Minimum Requirement : • Minimum 2+ years’ experience in the offshore Oil & Gas industry with specific experience on piping / Piping stress for Oil and Gas , Chemical and Petro chemical Plant. • Should be an effective Team player, capable of working with Multi-National Clients and possess good communication skill. • Bachelor’s degree in Chemical / Mechanical / Piping engineering in the relevant discipline or equivalent

Designation : BIM Modeler Reporting to : Director Company Profile : https://www.paradigm.in/ Job Type : Full Time Job Location : Kochi, Kerala Company Description Paradigm IT Private Limited is a civil/structural engineering services company located in Kochi. Owned and managed by qualified civil/structural engineers from India and Europe. The company offers services such as structural design, concrete reinforcement detailing, structural steel detailing, BIM services, and pre-construction CAD services. Requirements: • 3+ years of experience in Revit modelling -CIVIL(Structural/Infra) and drawing extraction. • Knowledge about Industrial structures • Rebar detailing expertise in Revit • Strong technical judgment and communication skills. • Work experince in Infrastrucure projects. Preferred: Navisworks/clash detection AutoCAD BIM Pls. shoot your your resume to bijo@paradigm.in Note : Site engineers are not preferred.

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 Solicit, review and analyze business requirements Write business and technical requirements Communicate and validate requirements with stakeholders Validate solution meets business needs Work with application users to develop test scripts and facilitate testing to validate application functionality and configuration Participate in organizational projects and/or manage small/medium projects related to assigned applications Translates customer needs into quality system solutions and ensures effective operational outcomes Focus on business value proposition*Apply understanding of 'As Is' and 'To Be' processes to develop solution 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 Role Focus Areas Core Expertise Required: Provider Management Utilization Management Care Management Domain Knowledge: Value-Based Care Clinical & Care Management Familiarity with Medical Terminology Experience with EMR (Electronic Medical Records) and Claims Processing Technical/Clinical Understanding: Admission & Discharge Processes CPT Codes, Procedure Codes, Diagnosis Codes Core AI Understanding AI/ML Fundamentals: Understanding of supervised, unsupervised, and reinforcement learning Model Lifecycle Awareness: Familiarity with model training, evaluation, deployment, and monitoring Data Literacy: Ability to interpret data, understand data quality issues, and collaborate with data scientists AI Product Strategy AI Use Case Identification: Ability to identify and validate AI opportunities aligned with business goals Feasibility Assessment: Understanding of what’s technically possible with current AI capabilities AI/ML Roadmapping: Planning features and releases that depend on model development cycles Collaboration with Technical Teams Cross-functional Communication: Ability to translate business needs into technical requirements and vice versa Experimentation & A/B Testing: Understanding of how to run and interpret experiments involving AI models MLOps Awareness: Familiarity with CI/CD for ML, model versioning, and monitoring tools AI Tools & Platforms Prompt Engineering (for LLMs): Crafting effective prompts for tools like ChatGPT, Copilot, or Claude Responsible AI & Ethics Bias & Fairness: Understanding of how bias can enter models and how to mitigate it Explainability: Familiarity with tools like SHAP, LIME, or model cards Regulatory Awareness: Knowledge of AI-related compliance (e.g., HIPPA, AI Act) AI-Enhanced Product Management AI in SDLC: Using AI tools for user story generation, backlog grooming, and documentation AI for User Insights: Leveraging NLP for sentiment analysis, user feedback clustering, etc. AI-Driven Personalization: Understanding recommendation systems, dynamic content delivery, etc. Required Qualifications Undergraduate degree or equivalent experience. 5+ years of experience in Business Analysis in healthcare including providing overall support, maintenance, configuration, troubleshooting, system upgrades, and more for Healthcare Applications Good experience on EMR / RCM systems Experience working with stakeholders, gathering requirements, and taking action based on their business needs Demonstrated success in running EMR / RCM / UM, CM and DM systems support in requirements, UAT, deployment supports Proven ability to work independently without direct supervision Proven ability to effectively manage time and competing priorities Proven ability to work with cross-functional teams 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. #NJP #Gen

Job Title: AI Intern (On-site) Location: Delhi, India Company: Ezyschooling Type: Paid Internship Duration: 3 months About Ezyschooling Ezyschooling is a leading ed-tech platform that simplifies school admissions for parents and schools alike. With over 1,000 partnered schools and 75,000+ parents onboarded, we’re transforming the K-12 admission process by streamlining applications and providing smart tools for decision-making. Our mission is to make school selection easy, accessible, and transparent. Role OverviewWe’re looking for a passionate and motivated AI Intern to join our on-site team in Delhi. This is a learning-centric role ideal for students or recent graduates looking to explore machine learning, AI, and real-world data applications in the education sector. Key ResponsibilitiesConduct cutting-edge research in areas such as deep learning, LLMs, generative models, reinforcement learning, and responsible AI.Design, train, and optimize scalable machine learning models for deployment across products (e.g., Search, Ads, Cloud, Assistant, Bard).Collaborate cross-functionally with product teams, software engineers, and research scientists to translate research into real-world applications.Publish in top-tier conferences (e.g., NeurIPS, ICML, CVPR, ACL) and contribute to open-source initiatives.Drive innovation in responsible and ethical AI practices, ensuring models are fair, interpretable, and safe.Stay ahead of emerging trends in AI and propose strategic research directions. Qualifications Mtech/Btech in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field; or equivalent Experience - 1-2 years of experience in ML/AI research or applied ML engineering.Strong programming skills in Python and deep learning frameworks (e.g., TensorFlow, JAX, PyTorch).Solid understanding of ML fundamentals: supervised/unsupervised learning, transformers, generative models, optimization Internship DetailsMode: On-site (Delhi) Working Days: Monday to Saturday Timings: 10:00 AM to 7:00 PM Certificate: Internship certificate will be provided on successful completion How to ApplyIf you’re eager to work on exciting AI projects in a collaborative startup environment email your resume to hr@ezyscooling.com. Ezyschooling.com Job Types: Full-time, Internship Pay: ₹20,000.00 - ₹25,000.00 per month Ability to commute/relocate: New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI models: 1 year (Preferred) Work Location: In person

Job description:- Minimum of 5 years of experience in working on Revit structural in creating 3D models and 2D drawings for general arrangement , sections, reinforcement detailing of concrete /steel buildings Knowledge of Dynamo scripts Estimating modelling hours for proposals Working closely with the project team and interface with other disciplines Working level experience on BIM360/ Autodesk construction cloud/ Bluebeam Excellent communication skills Clash detection using various tools Candidate specification:- Diploma/ Bachelor's Degree in Civil / Structural Proficiency in Revit Excellent communication skills both written and verbal Some knowledge of 3D modelling (including Revit/Civils 3D) would be an advantage Experience on UK projects and Eurocodes, will be an added advantage or preferred Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Bengaluru, KA, IN Contract Type: Permanent Work Pattern: Full Time Market: Buildings Discipline: Building services Job Ref: 9107 Recruiter Contact: Mamta Divekar

We are seeking an experienced Data Scientist III to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization. What your impact will look like here: Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep learning models for applications such as customer churn prediction, recommendation systems, and advanced anomaly detection. Programming and Libraries: Utilize Python and its advanced libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and optimize models. Generative AI Exploration: Leverage cutting-edge generative AI techniques to create innovative solutions for complex problems and enhance engagement strategies. Leadership and Collaboration: Lead cross-functional teams, including product managers, engineers, and data analysts, to translate business needs into effective data-driven solutions. Integration and Deployment: Oversee the integration of models into production systems, ensuring seamless deployment and performance. Pipeline Management: Develop and maintain robust data pipelines for ingestion, transformation, and model training. Performance Monitoring: Continuously monitor model performance, conduct evaluations, and implement improvements as necessary. Communication and Strategy: Communicate complex technical concepts clearly to stakeholders and contribute to strategic data science initiatives. Best Practices and Innovation: Drive the development of best practices, tools, and frameworks for data science and machine learning, staying abreast of industry advancements. You will love this job if you have: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. 7-9 years of experience in data science, machine learning, or a relevant domain. Proficiency in Python programming and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Proven track record of delivering production-ready AI/ML solutions. Strong expertise in machine learning and deep learning algorithms and techniques. Experience with generative AI models and advanced data science techniques. Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib). Experience with cloud platforms and big data technologies (e.g., AWS). Excellent problem-solving, analytical, and leadership skills. Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. Qualifications - Preferred Experience with advanced techniques such as graph neural networks, reinforcement learning, or similar. Familiarity with agile development methodologies and DevOps practices. Experience with containerization technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or published research in machine learning, deep learning, or generative AI. Experience working with government or public sector data. Proficiency with data visualization tools (e.g., Tableau, Power BI). The Team We area globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand. The Culture At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to be a part of our journey. A few culture highlights include – - Employee Resource Groups to encourage diverse voices - Coffee with Mark sessions – Our employees get to interact with our CEO on very important and sometimes difficult issues ranging from mental health to work life balance and current affairs. - Embracing diversity & fostering a culture of ideation, collaboration & meritocracy - We bring in special guests from time to time to discuss issues that impact our employee population The Company Serving the People Who Serve the People Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn. Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve—driving meaningful change for communities around the globe. Want to know more? See more of what we do here . The Impact We are proud to serve dynamic organizations around the globe that use our digital solutions to make the world a better place — quite literally. We have so many powerful success stories that illustrate how our solutions are impacting the world. See more of our impact here . The Process - Assessment – Take a quick assessment. - Phone screen – Speak to one of our talented recruiters to ensure this could be a fit. - Hiring Manager/Panel interview – Talk to the hiring manager so they can learn more about you and you about Granicus. Meet more members on the team! Learn more and share more. - Reference checks – Provide 2 references so we can hear about your awesomeness. - Verbal offer – Let’s talk numbers, benefits, culture and answer any questions. - Written offer – Sign a formal letter and get excited because we sure are! Benefits at Granicus India Along with the challenges of the job, Granicus offers employees an attractive benefits package which includes – - Hospitalization Insurance Policy covering employees and their family members including parents - All employees are covered under Personal Accident Insurance & Term Life Insurance policy - All employees can avail annual health check facility - Eligible for reimbursement of telephone and internet expenses - Wellness Allowance to avail health club memberships and/or access to physical fitness centres - Wellbeing Wednesdays which includes 1x global Unplug Day and 2x No Meeting Days every quarter - Memberships for ‘meditation and mindfulness ‘ apps including on-demand mental health support 24/7 - Access to learning management system Say., LinkedIn Learning Premium account membership & many more - Access to Rewards & recognition portal and quarterly recognition program Security and Privacy Requirements - Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program. - Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies. Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status regarding public assistance, familial status, military or veteran status or any other status protected by applicable law.

About Client : Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: Sr. C++ Location: Pan India Experience:6+ years Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Required Skills: Strong experience with C++ , Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases . Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

About Company: Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Client helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Client talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Java Developer with Three.Js orP5.Js Experience Location: Remote Note: Candidate should be comfortable to work for US Shifts/Night Shifts Interview Mode: Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) Client: Turing Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. Roles and Responsibilities: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Three.Js Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

Sr. Sales Excellence - SEM&C Gurgaon, Haryana, India + 2 more locations Date posted Jul 14, 2025 Job number 1846391 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Sales Enablement Discipline Sales Excellence Employment type Full-Time Overview Drives sales growth through mid- to long-term account or business planning. Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting. As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Defines and drives a predictable rhythm of the connection (ROC) in collaboration with peers and/or leadership. Guides sales teams/leadership on sales motions/strategies for opportunity management as a subject matter expert. Coaches and builds relationships with sales leaders on executing key priorities. Drives awareness and clarity of Corporate or TimeZone programs. Leads optimization and improvement in sales team processes and capabilities across the organization. Identifies trends on sales challenges or blockers. Leads innovations in analytics on key revenue drivers. Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales leaders. Integrates the feedback to guide engineer/partner teams on improving tools. Supports segment leader capacity as a senior leader. Qualifications Required Qualifications : 8+ years’ experience in sales, sales operations/management, account management, program management, business development, marketing, consulting, or a related field OR equivalent experience. 5+ years of experience using data to drive business outcomes or inform business decisions. 5+ years of experience managing relationships with stakeholders, clients, and/or partners/customers. 5+ years managing projects, including planning, managing timelines, and tracking progress, and/or change management experience. Preferred Experience Demonstrated ability to lead cross-functional projects and collaborate across Sales, Finance, and Operations teams. Experience supporting field sales or managing investment/resource planning in a global or regional organization. Familiarity with deal structuring, forecasting, or incentive-based programs that support customer success or cloud adoption. Proven ability to design and scale operational processes, tools, and best practices to drive efficiency and enablement. Experience preparing executive-level presentations, performance reviews, and storytelling through data. Understanding of financial governance, compliance protocols, and working closely with finance and legal teams. Responsibilities Business Partnership and Support As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Coaches managers and sellers on account/portfolio/partner business planning fundamentals, habits, and plan quality. Drives reinforcement and review of quality plans across region(s). Guides sales teams/leadership on sales motions/strategies for opportunity management (e.g., up-sell, cross-sell, renewal, recapture) as a subject matter expert. Clarifies accountabilities and operationalizes the prioritized sales plays and industry solutions. Guides sales teams/leadership to generate new business and accelerates the closing of existing opportunities. Drives sales growth through mid to long term account or business planning. Analyzes the outlook and generates business insights to benchmark performance and/or define sales/ organizational/partner strategies. Contributes to integrating strategy components (e.g., programs, blueprints), cascading, aligning, and executing the defined strategy across region(s). Defines and drives a predictable rhythm of the connection (RoC) in collaboration with peers and/or leadership. Leads end-to-end RoC activities to enforce great discipline and ensure quality outcome delivery. Provides in-depth business insights and recommendations to effect positive changes. Leads efforts and coaches less experienced team members to streamline and improve the RoC cadence across region(s). Driving Sales Process Discipline Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales managers. Holds sales managers accountable for account plan quality and completeness. Helps ensure consistency and excellence in the sales process across the segment(s)/region(s). Shares best practices and provides thought leadership across teams. Leads analytics on key revenue drivers (e.g. by channel, by product, by geo) and generates data-based insights. Leverages and develops reporting and analytical capabilities to generate data-based insights and enable visibility into revenue and forecast for sellers, sales managers and leaders, or partners. Acts as a subject matter expert to convey the value of tools and drive the effective and rigorous usage of common and/or new processes and tools developed for the wider business to improve internal and external communications and engagements. Owns consolidated input from the supported area into the feedback loop. Leverages the feedback to influence engineer/partner teams on improving tools. Sales Coaching for Growth and Transformation Drives optimization and improvement in sales team processes and capabilities across the region(s). Assesses and anticipates customer/partner needs and applies or develops methodologies and resources to transform seller capabilities, sales processes, and/or partner engagement processes. Models transformation to a coaching culture. Coaches and builds relationships with sales managers on executing key priorities. Identifies where coaching may be needed based on data-driven insights. Influences sales managers to become more effective coaches to their teams. Guides sales managers to achieve increased individual and team capability, employee satisfaction, and collaborative selling efforts. May coach and guide large deal pursuit. Partners with Area Transformation Leads, Area Capability Leads, and Business and Sales Operations (BSO) to remove sales roadblocks, drive utilizations of investment, increase customer/partner-facing time, and enhance seller/partner capability and effectiveness. Shares insights and influences sales managers' strategies to anticipate and mitigate risks. Integrates feedback on sales challenges or blockers. Guides relevant teams to develop actions based on the feedback. Drives awareness and clarity of Corporate or TimeZone programs. Intakes and drives the adoption of plans to create new habits among sales teams or partners. Supporting Executive Capacity Supports segment leader capacity as a senior leader. Advises on and contributes to various aspects of business management (e.g., employee engagement, resource allocation, change management, building high-performing teams) in collaboration with leadership and cross-functional teams. Represents the segment as an internal advocate and an extension of the segment leadership. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

HSO way of working In fulfilling our roles, we are Accountable for our own capabilities and development. Focused on delivering results without excuses, and Alive to the sensitivities, risk, and impact we have on others and work in a way that helps others do their work effectively. We are looking for people who See beyond self and are impact focused. Consider the needs, challenges, and objectives of every person they interact with Exhibit positive reinforcement to help others succeed. Job Title: Business Analyst Works closely with and have impact on: Sales, Comex, Marketing team, Legal & Compliance Reports to: Director Marketing- India, South Asia Function: Marketing Work Location/Site : HMIN Role Overview: - Helping organizations optimize it’s marketing strategies, understand customer behaviours, and improve overall marketing performance. Business Analyst typically bridge the gap between data-driven insights and strategic decision-making. Works with marketing teams to streamline processes for planning, executing, and tracking campaigns, often leveraging marketing automation tools to improve efficiency. Provide insights and recommendations for improving marketing processes, identifying bottlenecks or underperforming areas. Duties and Responsibilities: - Market Research and Analysis Data Collection: Business Analyst gathers data from various sources, such as customer surveys, online behavior analytics, sales data, and competitor analysis, to understand market trends. Customer Segmentation: They analyze customer data to identify different market segments, which can help tailor marketing efforts to specific groups. Competitive Analysis: They track competitors’ marketing strategies, product offerings, and pricing models to understand market positioning and potential opportunities or threat Marketing Strategy Optimization: - Campaign Performance Analysis: By analyzing key performance indicators (KPIs), a BA can identify areas where marketing campaigns are either succeeding or falling short. This allows for real-time optimization of campaigns. Forecasting and Predictive Analytics: The BA uses past marketing data to forecast future trends, such as sales volumes or customer engagement. This helps in planning marketing strategies for future campaigns. ROI Calculation: They assess the return on investment (ROI) for different marketing activities and initiatives to ensure that resources are allocated efficiently. Business Process Improvement: - Efficiency in Campaign Management: The BA works with marketing teams to streamline processes for planning, execution, and tracking campaigns, often leveraging marketing automation tools to improve efficiency. Recommendations for Improvement: They provide insights and recommendations for improving marketing processes, identifying bottlenecks or underperforming areas. Stakeholder Communication and Reporting: - Reporting: The BA prepares regular reports for senior management, offering insights into marketing campaign performance, customer behavior, and overall marketing effectiveness. Collaborating with Marketing Teams: They work closely with other departments (e.g., marketing, product, sales) to ensure that the marketing efforts are aligned with business goals. Data Visualization: The BA uses data visualization tools to present complex data in an easy-to-understand format, helping stakeholders make data-driven decisions. Customer Insights: - Customer Journey Mapping: The BA helps track and analyze the customer journey, identifying touchpoints that lead to conversion or abandonment. These insights help marketing teams tailor their strategies accordingly. Behavioral Analytics: Analyzing customer interactions with websites, apps, and other digital platforms helps identify preferences, pain points, and opportunities for engagement. Budget and Resource Allocation: - Budget Planning: They assist in allocating marketing budgets based on data-driven insights, ensuring that resources are directed toward the most profitable or high-impact marketing channels. Cost Efficiency: By analyzing marketing spend across channels and campaigns, the BA ensures that the marketing department is maximizing its budget while minimizing waste. Technology Integration: - CRM Systems and Tools: BAs help in the integration and utilization of customer relationship management (CRM) systems, marketing automation platforms, and data analytics tools to track customer interactions and optimize marketing efforts. Data-Driven Decision-Making: They guide the marketing department in utilizing analytics and data visualization tools to ensure decisions are backed by data. Change Management: - Adapting to Market Changes: The BA helps marketing teams respond to changes in market conditions, consumer behavior, and emerging trends. Facilitating Innovation: They recommend new marketing technologies, tools, or strategies to improve the department's performance. Key Skills Requirements: Analytical Thinking : Ability to process and interpret large amounts of data. Technical Proficiency: Familiarity with data analysis tools (e.g., Excel, Google Analytics, Tableau) and CRM platforms. Strong Communication: Ability to present findings clearly to both technical and non-technical stakeholders. Problem-Solving: Finding solutions to inefficiencies or gaps in marketing strategies. Project Management: Coordinating various marketing projects and ensuring timely execution. Experience Minimum 5 years’ experience as Business Analyst Skills/Accreditations Good speaking, writing & presentation skills. Teamwork & multi-tasking ability. High degree of professionalism and integrity is essential. Excellent skills in MS Word, Excel, PowerPoint etc. Academic Qualifications Bachelor/diploma or higher education Travel requirements As per business requirement By submitting your application, you consent to HOYA Group collecting, disclosing, and retaining your personal data for employment assessment and verification purposes. If you are shortlisted, we will contact you within three weeks of your application. Thank you for your application and understanding.

About The Opportunity Our client is expanding the software product engineering team for its partner, a US-based SaaS platform company specializing in autonomous security solutions. Their partner's platform leverages advanced AI to detect, mitigate, and respond to cyber threats across enterprise infrastructures. By offering comprehensive visibility, deep cognition, effective detection, thorough root cause analysis, and high-precision control, they aim to transform traditional governance, risk, and compliance (GRC) workflows into fast and scalable AI-native processes. Responsibilities Model Development and Integration: Design, implement, test, integrate and deploy scalable machine learning models, integrating them into production systems and APIs to support existing and new customers. Experimentation and Optimization: Lead the design of experiments and hypothesis testing for product feature development; monitor and analyze model performance and data accuracy, making improvements as needed. Cross-Functional Collaboration: Work closely with cross-functional teams across India and the US to identify opportunities, deploy impactful solutions, and effectively communicate findings to both technical and non-technical stakeholders. Mentorship and Continuous Learning: Mentor junior team members, contribute to knowledge sharing, and stay current with best practices in data science, machine learning, and AI. Requirements & Qualifications Bachelors or Masters in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field. 4-7 years of experience building and deploying machine learning models. Strong problem-solving skills with an emphasis on product development. Experience operating and troubleshooting scalable machine learning systems in the cloud. Technical Skills Programming and Frameworks: Proficient in Python with experience in TensorFlow, PyTorch, scikit-learn, and Pandas; familiarity with Golang is a plus; proficient with Git and collaborative workflows. Software Engineering: Strong understanding of data structures, algorithms, and system design principles; experience in designing scalable, reliable, and maintainable systems. Machine Learning Expertise: Extensive experience in AI and machine learning model development, including large language models, transformers, sequence models, causal inference, unsupervised clustering, and reinforcement learning. Knowledge of prompting techniques, embedding models and RAG. Innovation in Machine Learning: Ability to design and conceive novel ways of problem solving using new machine learning models. Integration, Deployment, and Cloud Services: Experience integrating machine learning models into backend systems and APIs; familiarity with Docker, Kubernetes, CI/CD tools and Cloud Services like AWS/Azure/GCP for efficient deployment. Data Management and Security: Proficient with SQL and experience with PostgreSQL; knowledge of NoSQL databases; understanding of application security and data protection principles. Methodologies And Tools Agile/Scrum Practices: Experience with Agile/Scrum methodologies. Project Management Tools: Proficiency with Jira, Notion, or similar tools. Soft Skills Excellent communication and problem-solving abilities. Ability to work independently and collaboratively. Strong organizational and time management skills. High degree of accountability and ownership. Nice-to-Haves Experience with big data tools like Hadoop or Spark. Familiarity with infrastructure management and operations lifecycle concepts. Experience working in a startup environment. Contributions to open-source projects or a strong GitHub portfolio. Benefits Comprehensive Insurance (Life, Health, Accident). Flexible Work Model. Accelerated learning & non-linear growth. Flat organization structure driven by ownership and accountability. Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world. Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies . Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, Risk/Compliance, CyberSecurity, PLM and more. Skills: api,azure,jira,machine learning models,aws,golang,docker,product development,machine learning,git,postgresql,python,github,scikit-learn,tensorflow,nosql,ci/cd,kubernetes,gcp,pytorch,pandas,spark,sql,hadoop

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Budget: Upto 35 LPA Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

Brief About Bert Labs Bert Labs is an International Award Winning, one of the fastest growing AI Innovation Companies in the world. Founded in 2017, Bert Labs is growing at 300% year on year to be USD 1 Billion global revenue by 2027-28. And bringing in Business Transformation impact across industries. Bert Labs is bringing USD 360 million in energy cost savings and 60 million Tonnes of carbon footprint reduction with 100+ clients in India & globally. And USD 460 million in production cost savings. In the next 4 years, our platform will bring in USD 1.6 billion in energy cost savings and 260 million Tonnes of carbon footprint reduction with 600+ clients. And production cost savings of USD 2 billion. This will lead to USD 1 Billion revenues by FY 2027-28 end for an IPO. At Bert Labs, we are leading ClimateTech as we tackle complex challenges through Bert Geminus First Principles, powered by Deep Neural Network Operational Digital Twins prediction, and Bert Optimus Reinforcement Learning optimization. These are facilitated by Bert Nova Multi-Tenant Distributed Computing, Bert Maximus IoT Devices, and Bert Qrious IoT-powered Wireless Sensor Network, all part of the Bert Platform Solution , driving Business Transformation Goals on Sustainability, Energy Efficiency Improvement, Net Zero, and Production. We consistently innovate, filing 4-5 patents monthly, totalling 50-60 patents annually across various regions. Anticipating accelerated innovation, we aim to file 100 patents per year in FY 2025-26, 150 patents in FY 2026-27, and a remarkable 400 patents in FY 2027-28. At Bert Labs , We Believe In Challenging The Status Quo Every Day. We Do This With The Power Of Diversity, Inclusion, And Collaboration. By Connecting Different Perspectives, We Can Imagine New Possibilities, Inspire Innovation, And Release The Full Potential Of Our People. Our Employee Experience Includes Appreciation, Belonging, Growth, And Purpose For Everyone. We Are Committed To a Diverse And Inclusive Workplace. At Bert Labs, We Are An Equal Opportunity Employer And Do Not Discriminate On The Basis Of Race, National Origin, Gender, Gender Identity, Sexual Orientation, Disability, Age, Or Other Legally Protected Status. Welcome To Bert Labs Leading and executing the development effort of wireless sensor network platform. Start to End, product development responsibility starting from conceptualizing to deployment. Stay up to date on forefront of WSN technology and bringing state of the art in the development cycle. Entrepreneurial Leadership role, where in you Innovate every day and do things beyond your current : Skills - 6LoWPAN, ARM Processor, C, Embedded C, Firmware Development, Kernel Development, Linux Device Drivers, RTOS, Linux Internals B Tech/MS in EEE/CS/Embedded Systems or any other relevant field with 3-5 years of experience of Industrial Experience. Experience with one or more IEEE 802.15.4 based protocols such as 6LoWPAN, ZigBee, Thread, etc required. Experience on protocols such as MQTT, CoAP, UDP, TCP, HTTPS, SSL, etc is required. Strong experience in developing security layers for wireless sensor networks (WSN). Proven track record in low-power, energy-efficient WSN development. Proven experience with RTOS such as Contiki, Contiki-Ng, Zephyr, FreeRTOS, and similar real-time operating systems. Interface with hardware through communication protocols such as I2C, UART, SPI, RS485, Ethernet, CAN, Modbus, and 1-Wire. Experience on Embedded Linux is highly appreciated. Experience on IEEE 802.11 based protocols such as Wi-Fi, Bluetooth is appreciated. Effective leadership skills and experience in managing and mentoring teams of engineers (ref:hirist.tech)

Brief About Bert Labs Bert Labs is an International Award Winning, one of the fastest growing AI Innovation Companies in the world. Founded in 2017, Bert Labs is growing at 300% year on year to be USD 1 Billion global revenue by 2027-28. And bringing in Business Transformation impact across industries. Bert Labs is bringing USD 360 million in energy cost savings and 60 million Tonnes of carbon footprint reduction with 100+ clients in India & globally. And USD 460 million in production cost savings. In the next 4 years, our platform will bring in USD 1.6 billion in energy cost savings and 260 million Tonnes of carbon footprint reduction with 600+ clients. And production cost savings of USD 2 billion. This will lead to USD 1 Billion revenues by FY 2027-28 end for an IPO. At Bert Labs, we are leading ClimateTech as we tackle complex challenges through Bert Geminus- First Principles, powered by Deep Neural Network Operational Digital Twins prediction, and Bert Optimus- Reinforcement Learning optimization. These are facilitated by Bert Nova Multi-Tenant Distributed Computing, Bert Maximus IoT Devices, and Bert Qrious IoT-powered Wireless Sensor Network, all part of the Bert Platform Solution- , driving Business Transformation Goals on Sustainability, Energy Efficiency Improvement, Net Zero, and Production. We consistently innovate, filing 4-5 patents monthly, totalling 50-60 patents annually across various regions. Anticipating accelerated innovation, we aim to file 100 patents per year in FY 2025-26, 150 patents in FY 2026-27, and a remarkable 400 patents in FY 2027-28. At Bert Labs we believe in challenging the status quo every day. We do this with the power of diversity, inclusion, and collaboration. By connecting different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. Our employee experience includes appreciation, belonging, growth, and purpose for everyone. We are committed to a diverse and inclusive workplace. At Bert Labs, we are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Welcome to Bert Labs family. Responsibilities Leading and executing the development effort of Embedded Hardware of Bert products end to end, product development responsibility starting from conceptualizing to deployment. Stay up to date on forefront of Microcontrollers, Microprocessors, Sensors, Board peripherals and bringing state of the art in the development cycle Entrepreneurial Leadership role, where in you Innovate every day and do things beyond your current capabilities. Requirements Engineering degree from IITs/BITS/NITs/Jadavpur University/DTU/Top Engineering Institutes in USA, Europe, UK/NUS Proven relevant work experience (as above) in EEE/CS/Embedded Systems or any other relevant field with 5-10 years of experience of Industrial Experience in Product/Platform/Deep Tech/ AI/IoT/Semiconductor/Embedded Systems/IT Services company Hardware Design and Architecture of mixed signal boards is required. Experience with CAD design tools - Altium/Orcad is required. POC, component research and component selection for new designs. Library management and footprint design in Altium designer. PCB layout of multilayer boards (4 layers and above) is required. Design documentation - DFM and DFA is required. Experience and knowledge of Hardware Certifications, EMI, EMC is appreciated. Experience and knowledge of industrial standards and protocols is appreciated. Board Bring-up, Hardware Validation and Verification is required. Hardware debugging, circuit analysis and board rework is appreciated. Experience with ARM based controllers/processors required. Experience on Radio Frequency design and layout is highly appreciated. Coordination with fabrication and assembly houses for manufacturing is appreciated Experience in managing projects end-to-end, including gathering requirements, - solutioning and designing architecture, developing, testing, deploying, and maintaining systems Excellent data structure & algorithm and problem-solving skills Good understanding of any OOP based programming language Proven experience in understanding complex user needs and providing practical solutions that can work in production Excellent communication and leadership skills (ref:hirist.tech)

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

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

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required Qualifications, Capabilities, And Skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred Qualifications, Capabilities, And Skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team. As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen. Job responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required Qualifications, Capabilities, And Skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners Preferred Qualifications, Capabilities, And Skills Exposure with Ray, MLFlow, and/or other distributed training frameworks. MS and/or PhD in Computer Science, Machine Learning, or a related field. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Familiar in Reinforcement Learning or Meta Learning. Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Job Title: Talent Management Specialist (2–6 Years Experience) – Immediate Joiner 📍 Location: Kolkata 🕒 Experience: 2–6 Years 📅 Join: Immediate About the Role: We are looking for a passionate and detail-oriented Talent Management Specialist to join our HR team in Kolkata. The ideal candidate will have hands-on experience in driving performance management systems (PMS), succession planning, talent reviews, competency mapping, and engagement initiatives . This is a strategic and execution-focused role that contributes to building a high-performance culture across the organization. Key Responsibilities: 🌟 Performance Management System (PMS): Drive the end-to-end PMS cycle including goal setting, mid-year and annual reviews, normalization, and performance calibration sessions. Partner with line managers and department heads to define KRAs/KPIs aligned with organizational objectives. Ensure timely completion of appraisal cycles, and provide support and training to employees and managers on the PMS process. Prepare dashboards, analysis, and reports on performance trends, ratings distribution, and talent movements. 🧩 Talent Review & Succession Planning: Identify critical roles and build succession pipelines for key positions. Coordinate and support annual Talent Review processes in collaboration with business leaders and HRBPs. Maintain and update talent matrices and 9-box grids for leadership planning. 🧠 Competency Mapping & Career Pathing: Contribute to building and enhancing competency frameworks across levels and functions. Work with department heads to define and document career paths and progression plans. Conduct competency-based assessments and gap analysis. 🏅 High-Potential (HiPo) & Leadership Development: Identify and implement frameworks for HiPo identification and development. Plan and execute learning and development interventions for emerging leaders. Collaborate with L&D team to design Individual Development Plans (IDPs). 🤝 Employee Engagement & Retention: Partner with HR and business to track engagement levels , analyze attrition trends, and recommend retention strategies. Run pulse surveys , stay interviews, and exit interview analytics. Design employee recognition frameworks and cultural reinforcement initiatives. 📊 HR Analytics & Reporting: Create dashboards and reports related to performance, talent movement, and retention. Present insights and recommendations to senior management. Desired Candidate Profile: Experience: 2–6 years in Talent Management, PMS, or Organizational Development roles. Skills: Strong understanding of PMS tools and frameworks. Good facilitation and stakeholder management skills. Analytical mindset with data interpretation and reporting ability. Exposure to engagement, career development, and succession planning initiatives. Familiarity with HRMS, PMS tools (SAP SuccessFactors, Darwinbox, Zoho People, etc.) is a plus. Education: Graduate/Postgraduate in HR, Business Administration, Psychology, or related fields. Location: Kolkata (mandatory) Joining: Immediate or within 15 days preferred

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. We're seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required Qualifications, Capabilities And Skills Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred Qualifications, Capabilities And Skills Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies: Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

The BBS Engineer is responsible for preparing and managing the Bar Bending Schedule (BBS) for reinforced concrete structures. This role involves translating structural drawings into detailed schedules, ensuring accurate quantities, and coordinating with site teams to ensure the correct placement of reinforcement bars. The BBS Engineer plays a critical role in maintaining the structural integrity of the project by ensuring precise execution of reinforcement work Job Description BBS Preparation: Prepare detailed Bar Bending Schedules based on structural drawings and design specifications, ensuring accuracy in quantities, sizes, and bending details. Drawing Interpretation: Accurately interpret structural drawings and blueprints to determine the required reinforcement details. Coordination with Site Teams: Work closely with site engineers, supervisors, and contractors to ensure that reinforcement bars are cut, bent, and placed according to the BBS. Material Management: Estimate and manage the quantity of reinforcement steel required for the project, coordinating with procurement teams to ensure timely availability of materials. Quality Assurance: Ensure that all reinforcement work adheres to the quality standards, design specifications, and industry norms. Compliance & Documentation: Ensure compliance with project specifications and relevant codes and standards. Maintain detailed documentation of BBS and related activities for quality control and audit purposes. Site Visits & Inspections: Conduct regular site visits to inspect the placement of reinforcement bars, verify compliance with the BBS, and address any discrepancies or issues that arise. Reporting: Prepare and submit regular reports on BBS progress, material usage, and any deviations from the design. Problem-Solving: Identify and resolve any issues related to reinforcement detailing or placement that could affect the structural integrity of the project. Qualifications Education: Bachelor’s degree in Civil Engineering, Structural Engineering, or a related field. Key Competencies Attention to Detail: Precision in preparing and managing BBS to ensure accurate reinforcement work. Technical Proficiency: Strong understanding of structural drawings, reinforcement detailing, and relevant standards. Coordination: Ability to effectively coordinate with site teams, contractors, and other stakeholders to ensure correct execution of reinforcement work. Problem-Solving: Proactive in identifying and resolving issues related to reinforcement detailing and placement. Documentation: Strong documentation skills for maintaining accurate records of BBS and related activities. #Immediatejoiners / who can join within hashtaghashtag#30days. Interested candidates can drop your resume #recruitment@vensainfra.com with the subject line # BBS Please mention in the email: - What is your overall experience? - Current CTC - Expected CTC - NP Job Type: Full-time Pay: ₹330,824.15 - ₹1,117,444.00 per year Benefits: Health insurance Provident Fund Work Location: In person