1228 Aiml Jobs - Page 34

Notice Period: Maximum 30 days Location: Bangalore, Chennai, Kolkata, Pune, and Hyderabad Note: Candidates based in Hyderabad must attend in-person interviews for the second round. Role Summary: Generative AI Specialist Mandatory Skills: Gen AI, LLMs, ML/DL/NLP, RAG, LangChain, Mistral, LLaMA, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DBs Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (e.g., Kubeflow, MLflow), Kubernetes, GitHub/Bitbucket, Azure DevOps, GPT-4 Responsibilities: Design, develop, and deploy generative AI solutions using modern ML/DL techniques. Work with large-scale datasets; handle preprocessing and model optimization. Build applications using LLMs and frameworks like LangChain, leveraging models like Mistral, LLaMA, GPT-4. Research and implement cutting-edge GenAI algorithms and architectures. Ensure Responsible AI compliance and monitor model performance post-deployment. Collaborate with cross-functional teams for solution integration and data engineering. Drive innovation by staying up to date with AI trends. Provide technical leadership, mentorship, and contribute to project governance and stakeholder communication. If you meet the requirements and are looking for a new opportunity, we'd love to hear from you! Interested candidates can send their resumes to admin@spearheadps.com OR Contact us via call/WhatsApp at 9899080360

Role Summary: The AI Manager leads the AI team, contributing to technical strategy and decision-making. This role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models. Essential Responsibilities: Provide technical leadership and strategic direction for the AI team, aligning with overall company objectives. Lead and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables (development and deployment of ML models for AI use cases across the platform). Contribute to AI/ML architecture design and implementation. Collaborate with business, engineering, infrastructure, and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements. Serve as a primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives. Guide the AI/ML engineers with respect to business objectives, connecting the dots, and helping the team come up with optimal ML models based on use cases. Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines. Assume the role of an engagement coordinator between the Thryve India team and US counterparts (techno-functional). Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required. Proactively track delivery statuses and project progress, taking ownership of all deliverables from Thryve. Communicate effectively with team members, US stakeholders, and management. Stay up-to-date with the latest trends and advancements in AI and ML, and identify opportunities for the team to implement new models and technologies. Propose and implement best engineering and research practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features. Required Skills and Qualifications: Bachelor's degree in engineering, computer science, or a related field. 12 to 16 years of total experience, with at least 3 years of experience leading/managing AI/ML projects (Worked in Predictive modeling projects), achieving clear & measurable business objectives. Good understanding of US Health insurance with at least 2+ years of experience in the same. Experience and understanding of the entire MLOps pipeline, from data ingestion to production. Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps. Proven ability to take successful, complex ideas from experimentation to production. Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform. Excellent communication, presentation, and interpersonal skills. Proven experience in leading, motivating & inspiring teams to foster collaboration. Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders. Experience in implementing process improvements and learning from past projects to enhance future performance. Ability to analyze external and internal processes and create strategies for service delivery optimization. Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations. Experience In handling team & managing multiple stakeholders.

Location: Mohali, Punjab Work Shift: Night Shift (MST/PST) Experience Required: 2+ Years Education: Bachelors in IT/Engineering or related field Job Description: We are hiring experienced Recruiters/Sr. Recruiters to join our dynamic team. This is a hands-on recruitment role focused on sourcing and hiring top-tier talent for cutting-edge technology positions. Key Responsibilities: End-to-end recruitment for roles in: Computer Vision, Firmware, Embedded Systems SoC, CPU/GPU, ASIC, FPGAs, RTL AR/VR, AI/ML, Deep Learning, Hardware Design Engage with candidates through various sourcing channels Screen, interview, and coordinate with hiring managers Maintain strong pipelines and ensure timely closures Key Requirements: Minimum 2 years of IT recruitment experience Strong understanding of deep tech and hardware domains Excellent communication and interpersonal skills Perks & Benefits: Benefits & Perks: 1. Incentives* 2. Monetary Awards* 3. 5-Year Retention Bonus 4. Referral Policy* 5. Internet Reimbursement* 6. Router UPS Reimbursement* 7. Term Life Insurance 8. Accidental Insurance 9. Group Medical Insurance (Family Floater) 10. On-call doctor support 11. Sodexo Benefit 13. Leave Policy 14. NPS - National Pension Scheme 15. LTA Leave Travel allowance. 16. Leave Encashment 17. Bank Assistance 18. Employee's State Insurance* 19. Gratuity 20. Provident Fund 21. Cab facility *Admissibility of the benefit may vary commensurate the department, designation, and role. How to Apply: Send your updated resume to kirti.rapta@spectraforce.com

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Senior Manager - Black Belt Supports Client & Delivery efforts to improve organizational effectiveness on our journey to Intelligent Operations. Digital & Analytical skill expert with experience in driving business impact initiatives across multiple clients. They work with an extended team to provide process, tools, methods, and business transformation practices across the organization aligned to this Client Journey. Actively partners with Operations/Functions to drive the continuous improvement agenda across stakeholders (internal and external). Employee to ensures alignment of the Quality initiatives to the vertical/functional strategic priorities. Is expected to drive change, solve business process challenges and generate business impact by leading high impact lean six sigma projects, mentoring green belts & training the larger organization on Lean Six Sigma thinking. In this role, the lead is responsible for directing and executing LDT roadmap that solves the business problems/opportunities of the key customer(s) in the F&A domain through the usage of methodologies like Lean, Six Sigma, Business process re-engineering, and by combining technology solutions like Automation Anywhere, Blue Prism, etc. In this role, you would be responsible for the effective delivery of planned Digital projects, RPA bots, AIML projects and Six Sigma projects working with cross-functional global leads including the digital delivery team, and client leadership successfully. This role may involve directly managing the account or reporting to an account manager, but the responsibility of planning and delivering the strategy would be with the lead role. Leading end-to-end business solution activities including mapping, creating, reviewing, controlling, and improving processes, technology and role clarity for sales, distribution, investments, marketing, transfer agency and corporate functions. Managing stakeholder adoption/change activities across process, organizational design and technology project implementation efforts. Performing feasibility and cost/benefits analysis. .Taking ownership to manage/improve solutions from concept to implementation.Researching, evaluating and implementing comprehensive solutions to enhance effectiveness of current business solutions. .Establishing working relationships with business and technology subject matter experts. Serving as an active member of the Solutions Working Group. .Leading complex analysis. Simultaneously working on several key project deliverables. .Providing analytical and conceptual direction to business analysts throughout the change lifecycle, ensuring alignment and integrity of deliverables with the program and strategic objectives Responsibilities Identifying areas of significant Customer Business Impact and improvement opportunities therein and provide strategic direction & thought leadership. . The role provides an opportunity to lead initiatives providing exposure to senior stakeholders - internal and external. . Continuous Improvement, delivery on committed productivity, productivity improvement in account and Bad Bench reduction . Champion the implementation and adoption of standard Global Processes . Support and deliver operational excellence and automation and implement best practices and drive efficiency and standardization as approved by . Assess new Laws, policies and practices, organization changes and the impact on the Global Processes and communicate such changes and impact to client . Lead and be responsible for all trainings and knowledge transfer relating to the GPO Services . Create Transformation Road Map and deliver projects aligned with client . Deploy RPA, Macros, Visualizations dashboards and Lean Six sigma, COE projects for mitigating process issues and improving Operational efficiencies identified across towers . Design, implement, test and complete all In-Scope CI Projects . Engage and leverage lean six sigma practices and processes . Support Operations to meet key transformation objectives of client and deliver required business value, productivity . Identify and log Issues and Incidents, perform Root Cause Analysis and determine root causes that are leading to Issues recommend process and System improvements and resolve Issues and Incidents . Manage client relationship and deliver transformation roadmap . Drive deployment of AIML tools in operations to improve process performance, metric improvement and deliver business value . Lead large teams for transformation resources to deliver . Drive Effectively LDT DNA - training, testing & certification, lead any other analytics and productivity initiatives that come up. . Coaching and Mentoring of Black Belts and Business Analysts . Effectively apply LEAN, Six Sigma tools/functional knowledge to improve process capability and eliminate defects by executing projects himself/herself & driving BB certification. . Lead & mentor Green Belts and use of Six Sigma tools and techniques to achieve results across multiple clients. . Develop, optimize, and manage analytics models (calculators, P&L models, price models, etc) for the business objectives of the functions. . Deploy best-in- class analytics practices, models, and research methods to analyse opportunity to improve profitability and reduce margin leakage, including but not limited to: o Customer and product portfolio segmentation o Price leakage and elasticity o Price/volume forecasting o Cross- sell recommendation. Qualifications we seek in you! Minimum qualifications . Certified - BB . Experience in Oracle Fusion, Tririga, Blackline, Service Now etc. or similar technology and technology deployments. . Experience in driving RPA program and deploying RPA across platforms. . Extensive experience in the Record to Report domain should have led transformation across all sub-processes like Manual Journals, Fixed Asset, Reconciliation etc. . Experience in driving continuous improvement using Lean, Six Sigma Methodology . . Experience in managing client discussion and driving large transformation programs. . Experience in deploying AIML or Generative AI solution and driving analytics programs. . Project Management skills -Strong Influencing skills and clarity of thought on effective project management are required. . People Leadership: Ability to coach & mentor people. Ability to effectively influence & motivate others and Ability to work in diverse teams and with multiple stakeholders . . Delivers oral and written communications that have clarity and impact. . Creates a team environment of accountability and commitment for reaching project goals. . Must be able to work in dynamic and tight deadlines to meet the project schedule. . Exposure to business metric improvement initiatives like close optimization. . Understanding of Defining SLA/KPI and linking it to business metrics. . Experienced Process improvement and Automation expert with domain exposure in F&A. Preferred qualifications . Lean Six Sigma- BB certification . Exposure to AIML certification would be added advantage . Tenured experience leading transformation . Fantastic interpersonal skills - communicating value/adapting communication to front line managers through CFO. . Client facing consulting experience Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit . Follow us on , , , and . Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Summary: We are seeking a highly skilled and innovative Senior AI/ML Engineer with strong experience in building Generative AI solutions from MVP to production. The ideal candidate should have hands-on expertise in multi-agent orchestration, prompt engineering, RAG architecture, and advanced Python frameworks such as LangChain, LangGraph, and AutoGen. Experience with Databricks and tool integrations (e.g., GitHub, UI components) is essential. Key Responsibilities: Design and implement Generative AI solutions, taking projects from MVP to scalable production systems. Build, orchestrate, and optimize multi-agent architectures using frameworks like LangChain, LangGraph, and AutoGen. Integrate external tools and APIs into AI agents (e.g., GitHub, internal/external UI components). Lead the development and deployment of RAG (Retrieval-Augmented Generation) pipelines. Collaborate with cross-functional teams to align AI solutions with business goals. Leverage Databricks for scalable data processing, ML model development, and deployment. Develop, refine, and evaluate prompts for LLM-based tasks (Prompt Engineering). Monitor and optimize the performance and accuracy of AI systems in production. Required Skills & Qualifications: 5+ years of experience in AI/ML, with at least 2 years focused on Generative AI solutions. Strong programming skills in Python and proficiency in GenAI frameworks (LangChain, LangGraph, AutoGen). Experience with building and orchestrating multi-agent systems. Proven track record in taking GenAI-based MVPs to full-scale production. Hands-on experience in integrating AI agents with tools and platforms (e.g., GitHub, custom UIs). Solid understanding and implementation experience with RAG architecture and prompt engineering. Proficiency with Databricks for data and ML workflows. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Nice to Have: Experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Exposure to cloud environments (Azure, AWS, or GCP). Familiarity with CI/CD for ML pipelines.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. J Principal Responsibilities: Senior leader with 20+ CAD/Methodology development experience for team in Bengaluru. Drive tools, flows, methodologies globally as part of world-wide CAD organization. Develop and implement advanced CAD flows and methodologies for front end RTL Design to Verification Methodologies and framework development. Utilize scripting languages (python) to automate CAD/IT processes and increase efficiency. Collaborate with cross-functional teams to ensure successful integration of CAD flows. Stay up-to-date with cutting-edge technology (AI/ML), conduct thorough analysis of CAD tools and make improvements. Work closely with users to troubleshoot and resolve any issues that arise in tools, flows, environment, and infrastructure. Preferred Qualifications: Experience building full stack AI applications, with a focus on practical, production-grade solutions Strong proficiency in Rust for performance-critical systems and Python for AI development and scripting . Solid understanding of large language models (LLMs), their mechanics, and their real-world applications. Experience implementing tool use capabilities for LLMs and agent frameworks Knowledge of evaluation methodologies for fine-tuned language models Good grasp of Retrieval-Augmented Generation (RAG) and latest AI Agent frameworks Ability to stay current with the fast-evolving AI landscape]. Including advancements in LLMs and neural networks Strong understanding of CAD/EDA tools and methodologies. Hands on experience with regression systems, CI/CD, Revision Control System (git, perforce) workflow. Strong fundamentals in digital design, design verification methodologies and EDA tools. Knowledge of SOC architecture is a plus Preferred – Masters in VLSI or Computer Science Minimum – Bachelors in Electronics/Electrical Engineering/Computer Science Atleast 15 years’ experience in development of tools/flows/methodologies in either RTL, DV, synthesis, PnR or Signoff. Should have a proven record of driving new innovative tool/flow/methodology solutions. Should have managed a medium sized team. Level of Responsibility: Works independently with minimal supervision. Work with chip leads in support of design verification. Collaborate with chip leads to understand the design methodology. high-level requirements, determine other areas to support current or future designs that can benefit from automation and tooling. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

Job Job TitleE-Commerce Manager Company NameTitan Job TypeRegular/ Job CategoryJewellery-SMR DepartmentMia-Marketing LocationBengaluru, Karnataka, India : Titan, a leading jewellery brand in India, is seeking an experienced E-Commerce Manager to join our team in Bengaluru. As the E-Commerce Manager, you will be responsible for managing and growing our online sales channels, specifically for our Mia-Marketing department. Key Responsibilities: - Develop and implement strategies to increase online sales and revenue for the Mia-Marketing department - Manage and optimize the E-Commerce website, ensuring a seamless and user-friendly experience for customers - Monitor and analyze website traffic and sales data to identify areas for improvement and make data-driven decisions - Collaborate with cross-functional teams, including marketing, sales, and IT, to ensure alignment and success of E-Commerce initiatives - Stay up-to-date with industry trends and best practices to continuously improve the E-Commerce strategy - Manage relationships with third-party vendors and partners to ensure timely and accurate delivery of products and services - Oversee the E-Commerce budget and track expenses to ensure cost-effectiveness - Train and mentor team members to ensure a high level of performance and productivity Qualifications: - Bachelor's degree in Marketing, Business, or a related field - Minimum of 5 years of experience in E-Commerce, preferably in the jewellery industry - Proven track record of successfully growing online sales and revenue - Strong analytical skills and experience with web analytics tools - Excellent communication and collaboration skills - Experience managing a team and working cross-functionally - Knowledge of E-Commerce platforms and technologies - Ability to thrive in a fast-paced and dynamic environment If you are a results-driven and innovative E-Commerce professional with a passion for the jewellery industry, we encourage you to apply for this exciting opportunity at Titan. Work Experience 3-4 years of experience in sales/ digital roles, with multi-channel exposure. Strong analytical and commercial acumen with a bias for action. Experience in leading small, agile teams and collaborating across functions. Passionate about digital commerce, consumer experience, and growth.

Role & responsibilities : Research emerging AI trends and evaluate their potential applications in banking. -Collaborate with startups and external partners to explore and integrate innovative AI solutions. -Work closely with senior management to align AI initiatives with the banks strategic goals. -Lead the design, development, and implementation of AI solutions across various banking functions. -Identify opportunities for process optimization, risk management, and enhanced customer experience using AI technologies Preferred candidate profile Bachelor's or Masters degree in Artificial Intelligence, Computer Science, or a related field. - Strong knowledge of AI technologies, including LLMs, machine learning, natural language processing, and automation. - Ability to translate AI research into real-world banking solutions. - Excellent communication skills for engaging with startups and senior management. - Strong problem-solving and analytical capabilities. - Hard working - Willing, proactive, and motivated

Job Title:GN - SC&O - S&P Spend Analytics Senior Data Scientist Management Level:8 Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accentures spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelors or Masters degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | AccentureQualification Experience:9+ years Educational Qualification:Bachelors or Masters degree

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Product Security Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Red Teaming Expert Adversarial ML, Threat Simulation, and AI Security StrategyWe are seeking a highly experienced and visionary AI Red Teaming Expert 12+ years of experience across cybersecurity and machine learning. This role is ideal for professionals who thrive in dynamic environments and possess a passion for securing cutting-edge AI/ML systems. You will lead red teaming operations, simulate adversarial threats, and guide the organizations AI security posture at strategic and technical levels. The ideal candidate demonstrates deep technical expertise, exceptional leadership, and a keen understanding of adversarial machine learning and risk mitigation frameworks. Roles & Responsibilities:Define and execute the AI red teaming strategy across the organization.Simulate realistic and advanced adversarial attacks against AI/ML systems aligned with business contexts.Review AI/ML system architecture to identify security gaps and advocate for secure design patterns.Establish internal standards and workflows for AI threat modeling, risk assessment, and adversarial testing.Stay ahead of evolving adversarial ML threats and guide the development of defensive strategies.Contribute to secure development practices for model deployment pipelines and lifecycle management.Lead and mentor a specialized team of AI security analysts and red teamers.Represent AI security strategy in executive forums and drive cross-functional alignment.Collaborate with engineering, data science, compliance, and legal stakeholders to integrate security into AI innovation cycles.Drive internal policy-making efforts around responsible and secure AI development practices.Own and lead remediation initiatives, translating findings into actionable improvements across teams. Professional & Technical Skills: Exceptional communication and leadership skills with the ability to convey technical issues to non-technical stakeholders.Proven experience managing high-impact security initiatives and leading diverse teams.Strategic thinker capable of aligning AI security objectives with business goals.Passionate about AI safety, responsible innovation, and emerging threat landscapes.Strong analytical and problem-solving skills in high-pressure environments.Hands-on expertise in red teaming AI/ML systems at scale.Strong understanding of adversarial ML techniques, threat simulation tools, and AI model manipulation tactics.Experience implementing and aligning with frameworks such as OWASP Top 10 for LLMs, ISO 42001, NIST AI RMF.Proficiency in AI/ML pipeline security, model risk evaluation, and secure MLOps practices.Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their associated vulnerabilities.Demonstrated ability to design, execute, and scale red teaming programs in AI-native environments.- Additional Information:Bachelors or Masters degree in Computer Science, Information Security, Machine Learning, or related field.Recognized certifications such as CEH, OSCP, CISSP, or credentials specific to AI security (e.g., MITRE ATLAS experience) are a plus.- 12+ years of experience spanning cybersecurity, AI/ML, and adversarial testing- This position is based at our Bengaluru office- A 15 years full time education is required. Qualification 15 years full time education

Job Title - Solution Architecture_Digital Commerce & Digital Marketing + Manager + Global Song Management Level :07 - Manager Location:Bangalore Must have skills: Analytics Good to have skills: Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce Job Summary : The Marketing & Digital Commerce Value Architect focuses on building business cases that Identify the value proposition that we as ACN can deliver to a current client/prospect using our Marketing & Dig. Comm. offering and the levers/services that we can deliver them through. Roles & Responsibilities: Responsible for building a quantified value proposition outlining the expected benefits that we can drive for a client (i.e. Revenue Increase, Cost Reductions, Brand Equity increase etc..) given the client maturity, performance of peers in the industry and industry specific trends Responsible for driving pursuit team/ deal team/client buy in into the value proposition and subsequent inclusion into the client response decks/evolution into outcome-based deals Responsible for managing a 4-member team of value architects and help them deliver innovative business cases/ensure client buy-in Responsible for working with the pursuit team to assess the marketing & dig. Commerce operations maturity of a client (w.r.t. 12-15 key marketing metrics such as Churn Rate, Sales Conversion Rate etc..) through client inputs & secondary research Responsible for upkeep & refinement of industry benchmarks against the 12-15 marketing/dig. comm. metrics to help assess the maturity of prospects & identify improvements that we can help drive Responsible for working with SMEs to refine the value proposition based on ACN experience of having driven it across clients with similar maturity within the same industry Responsible for innovating on the approach/process to build value propositions to clients Professional & Technical Skills: Total 8-12 years of experience in Digital Marketing/Digital Commerce, with understanding of typical business problems that functions like marketing or dig. commerce face within client organizations & typically resolution approaches Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce and prior hands-on experience in working with some of them/ability to help clients identify how to derive more benefits as opposed to their current usage Understanding of industry specific challenges and ability to customize approaches/value proposition in accordance with them Prior experience in building business value cases/proposals to highlight the Business Outcome improvements that can be driven Quantitative skillsets Working knowledge of Excel/Power Point is a must MBA or equivalent from a reputable school / program is highly desirable Proposal building experience/Sales experience in Marketing Operations/Digital Commerce Operations and/or analytics is highly desirable Additional Information: - The ideal candidate should possess a strong background on building business cases that identify value proposition to deliver to clients using Marketing & Digital Commerce - This position is based at our Bengaluru office. About Our Company | AccentureQualification Experience: Total 8-12 years of experience Educational Qualification: MBA or equivalent from a reputable school / program is highly desirable

Job Title: Software Engineer AI/ML Location: Delhi/ Chandigarh Experience: 4-7years About the Role: We are seeking a highly experienced and innovative AI & ML engineer to lead the design, development, and deployment of advanced AI/ML solutions, including Large Language Models (LLMs), for enterprise-grade applications. You will work closely with cross-functional teams to drive AI strategy, define architecture, and ensure scalable and efficient implementation of intelligent systems. Key Responsibilities: Design and architect end-to-end AI/ML solutions including data pipelines, model development, training, and deployment. Develop and implement ML models for classification, regression, NLP, computer vision, and recommendation systems. Build, fine-tune, and integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, etc., into enterprise applications. Evaluate and select appropriate frameworks, tools, and technologies for AI/ML projects. Lead AI experimentation, proof-of-concepts (PoCs), and model performance evaluations. Collaborate with data engineers, product managers, and software developers to integrate models into production environments. Ensure robust MLOps practices, version control, reproducibility, and model monitoring. Stay up to date with advancements in AI/ML, especially in generative AI and LLMs, and apply them innovatively. Requirements : Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Min 4+ years of experience in AI/ML. Deep understanding of machine learning algorithms, neural networks, and deep learning architectures. Proven experience working with LLMs, transformer models, and prompt engineering. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, etc. Proficiency in Python and experience with cloud platforms (AWS, Azure, or GCP) for ML workloads. Strong knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, etc.) and practices. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and embeddings. Exposure to real-time AI systems, streaming data, or edge AI. Contributions to AI research, open-source projects, or publications in AI/ML. Interested ones, kindly apply here or share resume at parul_gupta@softprodigy.com

Exp : 3 to 8 years Responsibilities: * Design, develop & deploy AI/ML solutions using Python, ML algorithms & Deep Learning techniques. * Collaborate with cross-functional teams on project requirements & deliverables. Leave encashment Referral bonus Gratuity Provident fund Paternity leaves Maternity leaves Performance bonus Sales incentives

At STAEDEAN , we are motivated by a simple yet impactful mission: to empower our customers by solving complex business challenges with seamless digital solutions. Trusted by over 2,000 customers worldwide, we are an enthusiastic and tech-savvy team dedicated to driving innovation at every step. As an AI/ML Engineer, you will be a core contributor to the implementation of intelligent, production-ready solutions that integrate seamlessly with Microsoft platforms. Working closely with our AI Architect, Data Scientist, and Product Owners, you will bring AI concepts to lifebuilding robust pipelines, interfaces, and integrations for ERP and business applications powered by large language models (LLMs), Azure AI, and Copilot. Your responsibilities will include: What You Need to Succeed: Proven experience in AI/ML applications, ideally in enterprise or ERP settings Hands-on experience with Azure AI services, Copilot, and ERP systems, preferably Microsoft Dynamics 365 or similar platforms Familiarity with Power Platform, Power BI, and Dataverse Strong Python skills for backend logic, data processing, and model orchestration Experience building modular pipelines, APIs, and workflows in cloud environments Understanding of prompt engineering, RAG (Retrieval-Augmented Generation) and fine-tuning, and LLM evaluation best practices Ability to work independently and take ownership of projects while meeting deadlines Strong collaboration and communication skillsyou can align with architects, developers, and business stakeholders Bonus: Experience with MLOps, DevOps, CI/CD, and monitoring tools

As the MLOps Lead, you will be responsible for leading the deployment and operationalization of AI/ML solutions. You will collaborate with data scientists, engineers, and IT teams to ensure that machine learning models are efficiently deployed, monitored, and maintained. Your role will be crucial in bridging the gap between data science and production, ensuring that our AI initiatives are scalable, reliable, and deliver business value. Responsibilities: • Lead the design, implementation, and management of MLOps pipelines to deploy machine learning models into production. Work closely with data scientists to understand model requirements and ensure smooth integration and deployment. Develop and maintain infrastructure for model training, validation, deployment, and monitoring. Implement best practices for CI/CD pipelines in the context of AI/ML model development and deployment. Ensure scalability, reliability, and performance of deployed models through monitoring and continuous optimization. Leverage containerization and orchestration tools (e.g., Docker, Kubernetes) to manage model deployment environments. Collaborate with IT and DevOps teams to ensure seamless integration of AI/ML solutions with existing systems. Implement and enforce security best practices for AI/ML models and data pipelines. Stay updated with the latest advancements in MLOps tools, frameworks, and methodologies. Provide technical leadership and mentorship to junior team members. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in MLOps, DevOps, or a related field, with a focus on deploying machine learning models. Strong understanding of machine learning, deep learning, NLP, and generative AI techniques. Proficiency with MLOps tools and frameworks such as MLflow, Kubeflow, TensorFlow Extended (TFX), or similar. Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Proficiency in programming languages such as Python and familiarity with ML/DL frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Strong understanding of version control systems (e.g., Git) and collaborative development workflows. Excellent problem-solving skills and the ability to design robust, scalable MLOps solutions. Strong communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with big data technologies and tools such as Hadoop, Spark, and Kafka. Familiarity with data visualization tools such as Tableau, Power BI, or similar.

As an AI/ML Solution Architect, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, MLOps team, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: • Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. • Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. • Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. • Leverage generative AI and large language models (LLMs) to develop innovative applications. • Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. • Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. • Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. • Ensure best practices in AI/ML model development, including versioning, testing, and validation. • Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. • Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field with proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras and experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. • Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. • Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences and experience in leading and mentoring technical teams. • Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

AI ML GENAI technical lead Good experience in training AI ML models, and using it for testing Feature selection, KPI generation of feature selection Feed forward neural networks, reinforcement learning, DCNN Cleaning the data, handling big data for AI application Random forest, regression based methods KPI generation for AI ML methods - MMSE, MAPE etc. Embedded implementation of AI ML methods AI ML implementation of Automotive applications GENAI based SW framework development Agentic framework design, development and validation Scaling the AI framework in cloud Cloud based AI solution development, hosting Core Python development experience

Key Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications. Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner. AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR. Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products. Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages. Job Qualifications: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Experience: Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Analytical Skills: Strong understanding of experimental methodologies, statistics, optimization, and probability theory. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Collaboration: Ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments.

Greetings from Peoplefy Infosolutions !!! We are hiring for one of our reputed MNC client based in Pune . We are looking for candidates with 7 + years of experience in below skills - Primary skills : Cloud -google cloud preferred but cloud any will do ML deployment using Jenkins/Harness Python Kubernetes terraform Interested candidates for above position kindly share your CVs on sayali.va@peoplefy.com with below details - Experience : CTC : Expected CTC : Notice Period : Location :

Were looking for a Python-based AI/ML Developer who brings solid hands-on experience in building machine learning models and deploying them into scalable, production-ready APIs using FastAPI or Django. The ideal candidate is both analytical and implementation-savvy, capable of transforming models into live services and integrating them with real-world systems. Key Responsibilities Design, train, and evaluate machine learning models (classification, regression, clustering, etc.) Build and deploy scalable REST APIs for model serving using FastAPI or Django Collaborate with data scientists, backend developers, and DevOps to integrate models into production systems Develop clean, modular, and optimized Python code using best practices Perform data preprocessing, feature engineering, and data visualization using Pandas , NumPy , Matplotlib , and Seaborn Implement model serialization techniques (Pickle, Joblib, ONNX) and deploy models using containers (Docker) Manage API security with JWT and OAuth mechanisms Participate in Agile development with code reviews, Git workflows, CI/CD pipelines Must-Have Skills Python & Development Proficient in Python 3.x, OOP, and clean code principles Experience with Git, Docker, debugging, unit testing AI/ML Good grasp of supervised/unsupervised learning, model evaluation, and data wrangling Hands-on with Scikit-learn , XGBoost , LightGBM Web Frameworks FastAPI : API routes, async programming, Pydantic, JWT Django : REST Framework, ORM, Admin panel, Middleware DevOps & Cloud Experience with containerized deployment using Docker Exposure to cloud platforms: AWS , Azure , or GCP CI/CD with GitHub Actions, Jenkins, or GitLab CI Databases SQL: PostgreSQL, MySQL NoSQL: MongoDB, Redis ORM: Django ORM, SQLAlchemy Bonus/Nice-to-Have Skills Model tracking/versioning tools (MLflow, DVC) Knowledge of LLMs , transformers, vector DBs (Pinecone, Faiss) Airflow, Prefect, or other workflow automation tools Basic frontend skills (HTML, JavaScript, React) Requirements Education : B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science, or related fields Experience : 36 years of industry experience in ML development and backend API integration Strong communication skills and ability to work with cross-functional teams Role & responsibilities

Role : AI / ML Engineer Experience : 5 to 9 Years Location : Bengaluru / Gurgaon / Chennai Primary Skills : AI/ML, Python Design and develop applications using Java/ Vertx & Reactive framework and Python. • Plan, scope, size, architect, design, prototype and engineer framework components. • CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes. • A problem solver, open to learning. Should have experience in troubleshooting, optimizing, solutioning and keeping up with evolving technologies - as a leading member of the team. • Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Collaborate with software engineers to integrate OOTB services into existing servicing applications and ensure scalability and reliability. • Stay abreast of industry best practices and emerging trends in Python and Natural Language Processing. • Participate in cross-functional team meetings, brainstorming sessions, and knowledge sharing activities to foster innovation and continuous improvement. • Working in Agile Environments: Experience with Agile methodologies and practices. • Create and develop NLP systems by using the requirements set out for the project. • Use well-formed and effective text representation to change and adapt natural language into user-friendly features. • Research and implement the correct algorithms and tools for natural language processing tasks. • Experience in RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, Casandra. • Develop and implement AI/ML Applications using Java and/or Python and leading industry tools and frameworks.

Role Synopsis This role is a senior-level position within a data science team, responsible for providing leadership, strategic direction, and technical expertise in the field of data science and machine learning. This role involves leading all aspects of and guiding a team of data scientists while collaborating closely with multi functional departments, such as engineering, product management, and business collaborators. The Lead Data Scientist plays a pivotal role in crafting data-driven strategies and solutions that chip in to the organization's success and growth Key Accountabilities Data Analysis and Modeling: Lead data scientists must have a confirmed foundation in data analysis and a deep understanding of various machine learning algorithms They should be able to apply these techniques to address sophisticated problems and extract valuable insights from data Out of Code computing: Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesn't fit into memory by reading it in smaller portions from disk Business Insight: Understanding the FDO's business objectives and aligning data initiatives with them Project Management: Being skilled in project management methodologies helps in planning and driving data science projects efficiently Machine Learning: Innovation and Strategy - Advanced Machine Learning Skills for complex models. Evaluation Collaboration and Communication: Effective communication with collaborators, Explain the modeling approach and results. Implement to privacy guidelines and recommendation with conscious balance Continuous Learning: Staying up-to-date in competitive edge. Apply methodologies to practical business challenges. Meeting with domain GPO's Data cleaning and preprocessing, analysis: The ability to clean and preprocess data effectively is a fundamental skill in any data science role Data Ethics and Privacy: Open communication with customer. Ethical considerations in algorithm design. Secure data handling, Data minimization Database Management: Proficient in database systems and SQL is required for data retrieval and storage Domain knowledge: Expertise in the domain they are working in to understand the context and requirements of the data projects better Statistical Analysis and Mathematics: Solid grasp of statistical methods and mathematical concepts is needed for data analysis, modeling, and drawing substantial insights from data Experience and Job Requirements Data Science Team plays a crucial role in driving data-informed decision-making and generating actionable insights to support the company's goals. This team is responsible for processing, analyzing, and interpreting large and complex datasets from multiple datasets to provide valuable insights and recommendations across various domains. Through advanced analytical techniques and machine learning models, the data science team helps optimize processes, predict trends, and build data-driven strategies. A bachelor's or equivalent experience or master's degree in quantitative, qualitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related data field is often required Skills: Leadership role in Data Analysis, Programming proficiency in Python, SQL, Azure Databricks, Statistics & Mathematics. Leadership qualities to steer the team. Strategic direction and technical expertise Soft skills: Active listening, Translate business problems into data questions, Communication and collaboration, Presentation, Problem solving, Multi-functional, Team management, Partner management Data Sources: SAP, Concur, Salesforce, Workday, Excel files Other: Project management. Domain knowledge [Procurement, Finance, Customer], Business Insight, Critical thinking, Story telling Able to prepare analytical reports, presentations and/or visualisation dashboards to communicate findings, important metrics and insights to both technical and non-technical customers Stay up to date with industry trends, standard methodologies and new technologies in data analytics, machine learning, data science techniques.

Dear Candidate, We are seeking a Machine Learning Engineer to develop predictive models and deploy them into production. Ideal for professionals passionate about AI and data science. Key Responsibilities: Develop and train machine learning models Preprocess and analyze large datasets Deploy models using scalable infrastructure Collaborate with product teams to integrate ML solutions Required Skills & Qualifications: Strong knowledge of Python and ML libraries (scikit-learn, TensorFlow, PyTorch) Experience with data preprocessing and feature engineering Familiarity with model deployment techniques Bonus: Experience with cloud ML services (AWS SageMaker, Google AI Platform) Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

We are looking for "Data Scientist – Agentic AI" with Minimum 15 years experience Contact- Yashra (95001 81847) Required Candidate profile advanced machine learning (ML) and Agentic AI frameworks. generative AI, reinforcement learning, and multi-agent systems. scalable AI/ML solutions.

Candidate with Strong Python Coding experience with AI Hands of experience.