36 Mlops Practices Jobs

We are seeking an experienced and customer-centric Cloud Solutions Architect to fulfill a dual role encompassing presales solutioning and delivery execution. This position necessitates alignment with US business hours (2pm10pm IST) and entails close collaboration with North American clients. The ideal candidate should possess extensive expertise in AWS cloud services, modern data platforms, and AI/ML workloads, along with a robust ability to translate intricate technical requirements into scalable, secure, and cost-effective solutions. Moreover, familiarity with Azure and Google Cloud Platform (GCP) would be advantageous. In the realm of Presales & Solution Engineering, your responsibilities will involve direct engagement with US-based enterprise customers to grasp their business objectives, technical prerequisites, and pain points. You will be tasked with designing and recommending cloud-native solutions on AWS encompassing compute, storage, networking, security, and DevOps. Crafting impactful solution blueprints, technical proposals, and reference architectures, as well as leading and supporting RFP/RFI responses, customer demos, and technical workshops will be integral aspects of your role. Additionally, collaborating with Sales, Product, and Delivery teams to align technical solutions with business objectives and conducting Proof-of-Concepts (PoCs) to validate solutions are key responsibilities. Transitioning to Delivery & Execution, you will be responsible for ensuring a seamless handover and alignment between presales and delivery, providing technical leadership across the project lifecycle including architecture reviews, implementation guidance, troubleshooting, and optimization. Engaging with client stakeholders, technical teams, and project managers during delivery phases, advocating best practices for cloud adoption, performance tuning, cost optimization, and security compliance, and assisting internal delivery teams in resolving complex architecture challenges are pivotal elements of this role. In terms of Technical Expertise, you should possess comprehensive knowledge in AWS Cloud Architecture encompassing IaaS (e.g., EC2, VPC, S3, EBS, ELB, Auto Scaling), PaaS (e.g., RDS, Lambda, API Gateway, DynamoDB, Aurora, Fargate, Step Functions) and Security & SaaS (e.g., IAM, AWS Organizations, WAF, GuardDuty, CloudTrail). Furthermore, familiarity with Multi-Cloud environments such as Azure (e.g., Synapse, Azure ML, AKS) and GCP (e.g., BigQuery, Vertex AI, GKE), DevOps & Automation tools (e.g., Terraform, CloudFormation, Jenkins, GitOps, CI/CD pipelines), and Data Platforms & AI/ML technologies is essential. The role necessitates a Bachelor's/Masters degree in Computer Science, Information Technology, or a related discipline, with a minimum of 10 years in IT, including at least 5 years in cloud architecture and presales/delivery roles. Possession of an AWS Certified Solutions Architect - Professional certification is preferred. Strong communication and stakeholder management skills are crucial, as is the ability to present to CXOs, architects, and engineering teams. Experience in bridging presales engagements with hands-on technical delivery is a key requirement. Additionally, domain expertise in verticals like finance, healthcare, or retail cloud transformation, familiarity with container orchestration (EKS, AKS, GKE), and MLOps platforms (Kubeflow, etc.) would be advantageous. The position entails working hours from 2:00 PM to 10:00 PM IST to cater to US-based clients and is based in Hyderabad.,

Onelab Ventures is a leading technology company specializing in custom AI agent solutions and software development. We transform ideas into innovative products and intelligent systems, driving growth and efficiency for startups and enterprises. Our experienced team collaborates closely with clients, delivering functional and scalable solutions. With over 100 successful projects and users across various industries, including AI, SaaS, Fintech, and Healthcare, we combine state-of-the-art technologies and advanced AI frameworks to create products that optimize operations and disrupt industries. This is a full-time, on-site role for an IT Project Manager specializing in AI/ML, located in Pune. The IT Project Manager will be responsible for overseeing the planning, execution, and delivery of AI and machine learning projects. The ideal candidate has a strong understanding of artificial intelligence technologies, software development life cycle (SDLC), and experience working closely with cross-functional teams including data scientists, engineers, and business stakeholders. You will be responsible for managing timelines, resources, and risks to ensure successful deployment of AI-powered solutions that drive business value. Key Responsibilities: - Lead end-to-end project management for AI/ML and data science initiatives, from project scoping to delivery. - Collaborate with product owners, data scientists, ML engineers, and developers to define project goals and technical requirements. - Develop and manage detailed project plans, schedules, and resource allocation. - Ensure alignment between AI models and business objectives through regular stakeholder communication. - Track project milestones and performance against goals using tools like Jira, Trello, or Asana. - Identify project risks, roadblocks, and dependencies; implement mitigation strategies. - Oversee model development, testing, integration, and deployment with software teams. - Ensure compliance with ethical AI standards, data privacy regulations, and security protocols. - Drive continuous improvement in project delivery and AI solutions. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field. - 5+ years of experience in project management, preferably in AI/ML or data-driven environments. - Solid understanding of AI/ML workflows, tools, and deployment lifecycles. - Familiarity with Python, cloud platforms (AWS/GCP/Azure), and ML frameworks is a plus. - Strong knowledge of Agile/Scrum methodologies and SDLC practices. - Excellent organizational, analytical, and communication skills. - Proven ability to manage multiple complex projects and meet tight deadlines. - PMP, PMI-ACP, or Scrum Master certification. - Experience with MLOps practices and model lifecycle management. - Prior experience working with AI products such as chatbots, recommendation engines, or NLP-based applications. - Ability to bridge the gap between technical teams and business stakeholders. This role at Onelab Ventures offers an exciting opportunity to lead cutting-edge AI projects and contribute to the success of innovative solutions in a dynamic and collaborative environment.,

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. The portfolio of SAIGroup comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup's latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI aims to reimagine business processes from the ground up, enabling seamless collaboration between humans and intelligent systems to drive a dramatic leap in productivity, efficiency, and decision velocity for enterprises. As a Senior Staff Engineer at JazzX AI, you will operate as a strategic technical leader, driving platform architecture, guiding critical projects, and influencing product direction. Your role will involve serving as a hands-on contributor, providing technical mentorship across teams, and partnering with senior stakeholders to ensure innovative, robust solutions aligned with the company's long-term vision. Additionally, you will play a key role in fostering a high-performance engineering culture that emphasizes collaboration, excellence, and continuous improvement. Your key responsibilities will include defining and evolving JazzX.ai's technical strategy, owning the end-to-end architecture for key platform components, evaluating emerging technologies, and leading complex, high-impact engineering initiatives that require coordination across multiple product and infrastructure teams. You will collaborate with various stakeholders to scope technical requirements, serve as a trusted advisor to senior stakeholders, guide and mentor engineers at all levels, champion best practices in code quality and architecture reviews, and foster an inclusive and innovative engineering culture. You will also partner with the AI research engineering team to design and implement modern AI frameworks and capabilities as production services in the platform, drive the exploration and adoption of state-of-the-art AI/ML technologies, identify strategic opportunities for AI integration, define and enforce SLAs for mission-critical services, and collaborate with Site Reliability Engineers (SREs) and Security teams to optimize performance and maintain compliance with industry standards. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience, along with 10-12+ years of professional software engineering experience, including at least 5 years in technical leadership roles. You should have deep expertise in programming languages, distributed systems, backend architecture, cloud platforms, microservices, event-driven architectures, container orchestration tools, large-scale data processing, streaming platforms, databases, AI/ML frameworks, and operationalizing machine learning solutions. Experience with MLOps practices, AI agent frameworks, and exceptional leadership and soft skills are also required. Joining JazzX AI offers you the opportunity to be part of a foundational team that is driving innovation in the AI space, pushing boundaries, and creating an autonomous intelligence-driven future. You will have the chance to contribute to pioneering solutions that have the potential to transform industries and redefine technology interactions. The role provides a competitive salary, equity options, attractive benefits package, and a chance to leave your mark on the future of AI.,

The Applications Development Intermediate Programmer Analyst position is an intermediate level role where you will be responsible for contributing to the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. Your main objective will be to participate in applications systems analysis and programming activities. Utilizing your knowledge of applications development procedures and concepts, as well as basic knowledge of other technical areas, you will identify and define necessary system enhancements. This includes using script tools, analyzing/interpreting code, and consulting with users, clients, and other technology groups to recommend programming solutions. You will also be involved in installing and supporting customer exposure systems and applying fundamental knowledge of programming languages for design specifications. As an Intermediate Programmer Analyst, you will analyze applications to identify vulnerabilities and security issues, conduct testing and debugging, and serve as an advisor or coach to new or lower-level analysts. You will be responsible for identifying problems, analyzing information, and recommending and implementing solutions. Additionally, you will operate with a limited level of direct supervision, exercise independence of judgment and autonomy, and act as a subject matter expert to senior stakeholders and/or other team members. In this role, you will need to appropriately assess risk when making business decisions, demonstrate consideration for the firm's reputation, and safeguard Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations. You must apply sound ethical judgment regarding personal behavior, conduct, and business practices, as well as escalate, manage, and report control issues with transparency. Qualifications: - 2-5 years of relevant experience in the Financial Service industry - Intermediate level experience in Applications Development role - Clear and concise written and verbal communication skills - Strong problem-solving and decision-making abilities - Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: - Bachelor's degree/University degree or equivalent experience This job description provides an overview of the responsibilities and qualifications for the Applications Development Intermediate Programmer Analyst position. Other duties may be assigned as needed.,

As a Staff Data Scientist at Micron Technology, you will play a crucial role in the Silicon Verification Data Science team. Your primary responsibilities will involve utilizing advanced data science and AI/ML techniques to enhance efficiency, automation, and innovation in Silicon Design Verification. Collaborating closely with hardware engineers, verification teams, and software developers, you will aim to optimize verification workflows, enhance coverage, and expedite time-to-market for cutting-edge semiconductor products. Your key duties will include developing AI and Data Science solutions to create state-of-the-art tools for silicon design verification and firmware validation. You will be tasked with identifying patterns, anomalies, and inefficiencies in silicon design verification processes, and devising effective solutions to rectify these issues. Automation of data pipelines and the development of tools to support regression analysis, bug triaging, and root cause analysis will also be part of your responsibilities. Moreover, you will collaborate with cross-functional teams to integrate data-driven solutions into EDA tools and verification frameworks. Your role will involve driving technical innovation and fostering a culture of creativity within the team. Additionally, you will be engaged in end-to-end project scoping, stakeholder discussions, and project execution, while continuously learning and mentoring the team on advancements in the semiconductor and AI/ML domains. Key Requirements: - Education: Masters or PhD in Computer Science, Electrical Engineering, or a related field. - Experience: 8+ years in data science and machine learning, with at least 2 years in a semiconductor verification environment. Technical Skills: - Strong understanding of Statistics, classical ML, deep learning, and the underlying mathematics of these algorithms. - Proficiency in text processing, various data embedding methodologies, NLP techniques, and recent advancements in GenAI and LLMs. - Hands-on experience with optimization and reinforcement learning algorithms. - Solid grasp of data engineering pipelines for deployment and MLOps. - Proficiency in Python, R, and SQL, along with experience in machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). - Knowledge of digital design and verification concepts (e.g., RTL, UVM, coverage metrics, simulation). - Experience with EDA tools (e.g., Synopsys VCS, Cadence Xcelium, Mentor Questa) and verification flows is advantageous. Preferred Qualifications: - Familiarity with hardware description languages (Verilog/SystemVerilog). - Experience with CI/CD pipelines and MLOps practices. - Patents or publications in relevant fields. Location: Hyderabad Micron Technology, Inc., is a global leader in memory and storage solutions, dedicated to transforming the use of information to enhance life for all. With a focus on customer satisfaction, technological innovation, and operational excellence, Micron delivers high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands. The company's innovations power the data economy, driving advancements in artificial intelligence and 5G applications across various platforms. For more information, visit micron.com/careers. If you require assistance with the application process or need accommodations, contact hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all relevant labor laws and standards. Candidates are encouraged to utilize AI tools to enhance their application materials, ensuring accuracy and authenticity. Fabricating or misrepresenting qualifications through AI will lead to immediate disqualification. Job seekers are advised to verify the authenticity of any communication claiming to be from Micron by referring to the official Micron careers website.,

We are looking for an experienced AI Engineer to join our team and lead the development of cutting-edge AI solutions, particularly focusing on Generative AI and its applications in the legal domain. The ideal candidate should have a solid background in constructing and training AI/ML models from the ground up, deploying them in production environments, and working with advanced technologies such as NLP, LLMs, and vector databases. If you have experience in creating AI models, especially custom Large Language Models (LLMs) or domain-specific models, you are well-suited for this role. Your responsibilities will include designing, developing, and training custom AI models, particularly Generative AI and NLP-based models tailored for legal applications. You will also be tasked with implementing techniques to fine-tune and optimize large language models for domain-specific use cases, building models from scratch as necessary while ensuring scalability, accuracy, and efficiency. Additionally, you will design and implement AI-driven systems using Python and frameworks like FastAPI and Django for robust API development, as well as develop and integrate vector databases for semantic search, embeddings, and retrieval-augmented generation (RAG). Furthermore, you will manage data pipelines, including preprocessing and cleansing unstructured text such as legal documents, contracts, and case law. Working with SQL and PostgreSQL databases for structured data storage and retrieval will also be a part of your role. You will develop generative solutions for tasks like document summarization, legal drafting, knowledge extraction, and automated reasoning, leveraging modern transformer architectures such as GPT, BERT, LLaMA, Falcon, among others, to build advanced capabilities. Collaboration with product, legal, and engineering teams to comprehend requirements and deliver solutions in an Agile environment using tools like Jira and GitHub is essential. Mentoring junior engineers and contributing to knowledge sharing within the team are also key responsibilities. Staying updated with the latest advancements in AI, LLMs, RAG, and Generative AI technologies and applying them to real-world scenarios, as well as proposing innovative solutions to enhance the efficiency, accuracy, and scalability of existing systems are also expected from you. Preferred qualifications for this role include a Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields, strong expertise in Python programming, familiarity with frameworks like FastAPI and Django, experience with TensorFlow, PyTorch, Hugging Face, and preferred knowledge of LangChain. Additionally, experience with databases like MySQL, PostgreSQL, and exposure to Vector Stores (e.g., Pinecone, Weaviate, FAISS), as well as familiarity with containerization (Docker), CI/CD pipelines, and tools like GitHub, Jira, and Agile methodology are preferred. Candidates with 8+ years of experience in AI/ML engineering, a proven track record of building and deploying custom AI models into production, hands-on experience with Generative AI, LLM fine-tuning, and retrieval-augmented generation (RAG) are highly encouraged to apply. Experience with cloud platforms (AWS, Azure, GCP) for AI deployments, knowledge of MLOps practices for model lifecycle management, contributions to open-source AI/ML projects, and prior experience in developing legal-specific AI tools or solutions are considered advantageous for this role.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As an EY-Consulting AI Enabled Automation - GenAI/Agentic Manager, we are seeking individuals with strong AI Enabled Automation skills who are passionate about applying AI in the process automation space, including Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Develop and implement AI-enabled automation solutions aligned with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to showcase the potential of AI-enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS), and align with business goals and user needs. - Educate the team on best practices and stay updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience, proficiency in Python, and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation. - Proficiency in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. - Experience in GenAI technologies, LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience implementing MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility). - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Strong understanding of data pipelines, APIs, and distributed systems. - Ability to build observability into AI systems latency, drift, performance metrics. - Strong communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What We Offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We provide stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support your professional development in every way possible. You have the flexibility to devote time to what matters to you, in both your business and personal lives. At EY, you can be yourself, express your point of view, energy, and enthusiasm, no matter where you are in the world. This is how you can make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As an AI Tech Lead at our organization, you will play a crucial role in spearheading our Artificial Intelligence initiatives. Your responsibilities will include providing technical leadership, strategic direction, and hands-on contributions to the design, development, and deployment of AI-powered products and services. The ideal candidate for this role will possess a deep understanding of various AI domains and a successful track record of leading AI projects. Your role will involve: - Providing technical leadership and guidance to a team of AI Engineers and Data Scientists. - Defining the AI strategy and roadmap in alignment with the company's overall business objectives. - Leading the design and architecture of scalable and robust AI solutions leveraging Cloud platforms. - Driving the research, development, and implementation of Machine Learning models, including Deep Learning and Natural Language Processing. - Championing the exploration and adoption of Generative AI techniques and frameworks. - Leading the development and deployment of Agentic AI systems and workflows. - Ensuring the quality, performance, and reliability of AI solutions. - Collaborating with cross-functional teams to deliver impactful AI-driven features and products. - Staying updated on the latest advancements in AI and related technologies and evaluating their potential application within the company. - Mentoring and coaching junior AI team members to foster a culture of innovation and continuous learning. - Participating in pre-sales activities and technical presentations to clients. Required Skills & Experience: - Minimum 5-7 years of hands-on experience in developing and deploying AI/ML solutions. - Strong hands-on experience with Cloud platforms (e.g., AWS, Azure, GCP) for AI/ML workloads. - Deep hands-on experience in Data Science methodologies and techniques. - Extensive hands-on experience in developing and deploying Machine Learning models using frameworks like TensorFlow, PyTorch, scikit-learn. - Proven hands-on experience with Generative AI models and techniques such as Large Language Models, Diffusion Models. - Practical experience in building and deploying Agentic AI systems. - Strong understanding of data engineering principles and practices. - Excellent problem-solving, analytical, and communication skills. - Proven ability to lead and motivate technical teams. Preferred Qualifications: - Masters/Bachelors in Computer Science, Artificial Intelligence, or related field. - Experience with MLOps practices and tools. - Experience in deploying AI solutions in production environments at scale. - Industry certifications in relevant Cloud and AI technologies. - Publications or presentations in recognized AI conferences or journals. Join us for: - Opportunity to lead and shape the Data & AI practice in a fast-growing technology organization. - Work on cutting-edge data solutions for enterprise clients across diverse industries. - Collaborative and innovative culture with a focus on continuous learning. - Competitive compensation, benefits, and career growth opportunities. If you are a strategic thinker, hands-on architect, and an inspiring leader looking to drive impactful data initiatives, we encourage you to apply for this exciting opportunity.,

You will be joining our team as an AI Solutions Lead based in Hyderabad. As an AI Solutions Lead, you will be responsible for overseeing the complete process of AI/ML projects from inception to delivery. Your primary duties will include crafting technical solutions, managing RFP responses, and guiding a team of interns to create scalable AI models that address practical business challenges. Your key responsibilities will involve leading the design, development, and implementation of AI/ML solutions. You will be required to effectively address RFPs by presenting well-structured proposals. In addition, you will be involved in constructing Proof of Concepts (PoCs) and deploying production-ready models using Python and various ML frameworks. A crucial aspect of your role will be mentoring a group of interns, assisting them in tasks such as data preparation, modeling, and testing. Collaboration with stakeholders to establish objectives and desired outcomes will be a significant part of your role. To qualify for this position, you should have a minimum of 3 years of experience in AI/ML project delivery or solutioning. Proficiency in Python along with hands-on experience in TensorFlow, PyTorch, or equivalent technologies is essential. Previous involvement in constructing or responding to AI/tech RFPs is also a prerequisite. Familiarity with cloud platforms such as AWS, GCP, or Azure, as well as knowledge of MLOps practices, will be advantageous. Moreover, possessing strong communication and leadership skills is imperative for this role. While not mandatory, it would be considered a bonus if you have prior experience with LLMs or Generative AI, as well as a background in consulting or client-facing roles.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to demonstrate the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

The primary responsibility of the Data Science & Analysis role in India is to design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare and other relevant datasets, with a key focus on accuracy and context relevance. Collaboration with cross-functional teams (Business, engineering, IT) is essential to seamlessly integrate AI/ML technologies into solution offerings. Deployment, monitoring, and management of AI models in a production environment are crucial to ensure high availability, scalability, and performance. Continuous research and evaluation of the latest advancements in AI/ML and industry trends are required to drive innovation. Comprehensive documentation for AI models, covering development, training, fine-tuning, and deployment procedures, needs to be developed and maintained. Providing technical guidance and mentorship to junior AI engineers and team members is also a part of the role. Collaboration with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development is critical. Selecting and curating appropriate datasets for fine-tuning foundational models to address specific use cases is an essential aspect of the job. Ensuring that AI solutions can seamlessly integrate with existing systems and applications is also part of the responsibilities. For this role, a Bachelor's or Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is required. The ideal candidate should have 4 to 6 years of hands-on experience in AI/ML, with a proven track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc., is necessary. Practical experience in deploying and managing AI models in production environments, including expertise in serving and inference frameworks like Triton, TensorRT, VLLM, TGI, etc., is expected. Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI), and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities are required to tackle complex challenges and evaluate multiple factors. Exceptional communication and collaboration skills are necessary for effective teamwork in a dynamic environment. The ideal candidate should have worked on a minimum of 2 AI/LLM projects from start to finish, demonstrating proven business value. Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models would also be advantageous. Guidehouse offers a comprehensive total rewards package, including competitive compensation and a flexible benefits package that reflects the commitment to creating a diverse and supportive workplace. Guidehouse is an Equal Opportunity Employer that considers qualified applicants with criminal histories in accordance with applicable laws and regulations, including the Fair Chance Ordinance of Los Angeles and San Francisco. If accommodation is required to apply for a position or for information about employment opportunities, applicants can contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information provided will be kept confidential and used only as needed to provide necessary reasonable accommodation. All recruitment communication from Guidehouse will be sent from Guidehouse email domains, including @guidehouse.com or guidehouse@myworkday.com. Any correspondence received from other domains should be considered unauthorized and will not be honored by Guidehouse. Guidehouse does not charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in recruitment events. Banking information should never be provided to a third party claiming to need it for the hiring process. If any demand for money related to a job opportunity with Guidehouse arises, it should be reported to Guidehouse's Ethics Hotline. For verification of received correspondence, applicants can contact recruiting@guidehouse.com. Guidehouse is not liable for any losses incurred from an applicant's dealings with unauthorized third parties.,

The Data Science & Analysis team in India is looking for a skilled professional to join our dynamic team. As a member of our team, you will be responsible for designing, training, and fine-tuning advanced foundational models such as text, audio, and vision using healthcare and other relevant datasets. Your focus will be on accuracy and context relevance to ensure the efficiency of our solutions. Collaboration with cross-functional teams including Business, engineering, and IT is key in seamlessly integrating AI/ML technologies into our solution offerings. You will also play a crucial role in deploying, monitoring, and managing AI models in a production environment, ensuring high availability, scalability, and performance. Staying updated with the latest advancements in AI/ML and industry trends is essential to drive innovation within the team. Adherence to industry standards and regulatory requirements, such as HIPAA, is paramount in developing AI solutions. You will be responsible for developing and maintaining comprehensive documentation for AI models, providing technical guidance and mentorship to junior AI engineers, and collaborating with stakeholders to understand and translate business needs into technical requirements. To be successful in this role, you should hold a Bachelors or Masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. With a minimum of 10 years of industry experience, including at least 5 years of hands-on experience in AI/ML, you should have a strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience in deploying and managing AI models in production environments, expertise in serving and inference frameworks, and practical experience in Voice AI applications are desirable skills. Additionally, familiarity with healthcare data standards, regulatory compliance, cloud computing platforms, and containerization technologies will be beneficial in this role. If you have experience with federated learning, privacy-preserving AI techniques, synthetic data generation for healthcare model training, and knowledge of healthcare, it would be considered a plus. Your ability to evaluate and select GenAI models based on performance, cost, and compliance factors will be highly valued. Guidehouse offers a comprehensive total rewards package including competitive compensation and flexible benefits. We are an Equal Opportunity Employer and encourage individuals with diverse backgrounds to apply. If you require accommodation during the application process, please contact Guidehouse Recruiting for assistance. Join us at Guidehouse and be a part of a team that values innovation, collaboration, and diversity in a supportive workplace environment.,

Job Summary: We are seeking a highly motivated and skilled LLM Engineer with 2 to 7 years of professional experience to join our growing AI team. The ideal candidate will have a strong background in natural language processing, machine learning, and hands-on experience in developing, deploying, and optimizing solutions built upon Large Language Models. You will play a crucial role in designing, implementing, and maintaining robust and scalable LLM-powered applications, contributing to the full lifecycle of our AI products. Key Responsibilities: LLM Application Development: Design, develop, and deploy innovative applications leveraging state-of-the-art Large Language Models (e.g., GPT, Llama, Gemini, Claude, etc.). This includes working with various LLM APIs and open-source models. Prompt Engineering & Optimization: Develop and refine advanced prompt engineering techniques to maximize LLM performance, accuracy, and desired output for specific use cases. Fine-tuning & Adaptation: Experiment with and implement strategies for fine-tuning pre-trained LLMs on custom datasets to improve performance for domain-specific tasks. Data Preparation & Curation: Work with diverse datasets for training, fine-tuning, and evaluating LLMs, ensuring data quality, relevance, and ethical considerations. Model Evaluation & Benchmarking: Design and execute robust evaluation methodologies to assess LLM performance, identify biases, and ensure alignment with business objectives. Implement A/B testing and other experimentation frameworks. Integration & Deployment: Integrate LLM-powered solutions into existing systems and deploy them to production environments, ensuring scalability, reliability, and low latency. Experience with MLOps practices is highly desirable. Performance Optimization: Identify and implement strategies for optimizing LLM inference, resource utilization, and cost efficiency. Research & Innovation: Stay abreast of the latest advancements in LLMs, NLP, and machine learning research. Proactively explore and propose new technologies and approaches to enhance our AI capabilities. Collaboration: Work closely with cross-functional teams including data scientists, software engineers, product managers, and researchers to deliver impactful AI solutions. Documentation: Create clear and concise documentation for models, code, and deployment procedures. Required Qualifications: Bachelor&aposs or Master&aposs degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field. 2-7 years of professional experience in a role focused on Machine Learning, Natural Language Processing, or AI development. Strong proficiency in Python and relevant ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Hands-on experience with Large Language Models (LLMs) , including familiarity with their architectures (e.g., Transformers) and practical application. Experience with prompt engineering techniques and strategies. Solid understanding of NLP concepts, including text pre-processing, embeddings, semantic search, and information retrieval. Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Experience with version control systems (e.g., Git). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills to articulate complex technical concepts to both technical and non-technical audiences. Preferred Qualifications (Bonus Points for): Experience with fine-tuning LLMs on custom datasets. Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes). Experience with vector databases (e.g., Pinecone, Weaviate, Milvus) for RAG applications. Knowledge of various retrieval techniques for Retrieval Augmented Generation (RAG) systems. Understanding of ethical AI principles, bias detection, and fairness in LLMs. Contributions to open-source projects or relevant publications. Experience with distributed computing frameworks. Show more Show less

You should have a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. With over 5 years of experience in AI/ML solution design and development, you must possess proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python, R, or Java are essential for this role. Hands-on experience with cloud platforms like AWS, Azure, and GCP is required. A solid understanding of data engineering concepts and tools such as Spark, Hadoop, and Kafka is expected. Experience with MLOps practices, including CI/CD for AI models, is a plus. Strong problem-solving, communication, and leadership skills are crucial for success in this position. Preferred qualifications include AI/ML certifications like AWS Certified Machine Learning, Google Professional ML Engineer, etc. Experience in natural language processing (NLP) or computer vision would be beneficial. Knowledge of AI governance and ethical AI practices, as well as familiarity with AI model explainability and bias detection, are also desired qualities for this role.,

The ideal candidate for this position should have at least 6+ years of experience in Machine Learning, with a primary focus on Google Vertex AI and Python. You must possess a strong understanding of MLOps practices and hands-on experience in deploying and productionizing ML models. Proficiency in Python is a must, along with experience working with Google Vertex AI. Additionally, solid knowledge of machine learning algorithms such as XGBoost, Classification models, and BigQuery ML (BQML) is required. As a member of the team, your key responsibilities will include designing, building, and maintaining ML infrastructure on Google Cloud Platform (GCP) using tools like Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. You will be responsible for developing and automating ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines. Collaboration with Data Scientists to productionize ML models and support experimentation workflows will be essential. You will also be expected to implement model monitoring and alerting for drift, performance degradation, and data quality issues, along with managing and scaling containerized ML workloads using Kubernetes (GKE) and Docker. Setting up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar will be part of your daily tasks. Ensuring proper security, versioning, and compliance across the ML lifecycle is crucial, as well as maintaining documentation, artifacts, and reusable templates for reproducibility and auditability. Having a GCP MLE Certification will be considered a plus. This is a full-time, permanent position with the possibility of remote work. The job location is Hyderabad, and the work schedule includes day and morning shifts. Application Questions: - Do you have hands-on experience in deploying and productionizing ML models - Are you proficient in Python - Do you have experience with Google Vertex AI - Do you have solid knowledge of machine learning algorithms such as XGBoost, Classification models, BigQuery ML (BQML) If you meet the qualifications and are looking for a challenging opportunity in the field of Machine Learning, we encourage you to apply for this position.,

You will be joining Salesforce, the Customer Company, known for inspiring the future of business by combining AI, data, and CRM technologies. As part of the Marketing AI/ML Algorithms and Applications team, you will play a crucial role in enhancing Salesforce's marketing initiatives by implementing cutting-edge machine learning solutions. Your work will directly impact the effectiveness of marketing efforts, contributing to Salesforce's growth and innovation in the CRM and Agentic enterprise space. In the position of Lead / Staff Machine Learning Engineer, you will be responsible for developing and deploying ML model pipelines that drive marketing performance and deliver customer value. Working closely with cross-functional teams, you will lead the design, implementation, and operations of end-to-end ML solutions at scale. Your role will involve establishing best practices, mentoring junior engineers, and ensuring the team remains at the forefront of ML innovation. Key Responsibilities: - Define and drive the technical ML strategy, emphasizing robust model architectures and MLOps practices - Lead end-to-end ML pipeline development, focusing on automated retraining workflows and model optimization - Implement infrastructure-as-code, CI/CD pipelines, and MLOps automation for model monitoring and drift detection - Own the MLOps lifecycle, including model governance, testing standards, and incident response for production ML systems - Establish engineering standards for model deployment, testing, version control, and code quality - Design and implement monitoring solutions for model performance, data quality, and system health - Collaborate with cross-functional teams to deliver scalable ML solutions with measurable impact - Provide technical leadership in ML engineering best practices and mentor junior engineers in MLOps principles Position Requirements: - 8+ years of experience in building and deploying ML model pipelines with a focus on marketing - Expertise in AWS services, particularly SageMaker and MLflow, for ML experiment tracking and lifecycle management - Proficiency in containerization, workflow orchestration, Python programming, ML frameworks, and software engineering best practices - Experience with MLOps practices, feature engineering, feature store implementations, and big data technologies - Track record of leading ML initiatives with measurable marketing impact and strong collaboration skills Join us at Salesforce to drive transformative business impact and shape the future of customer engagement through innovative AI solutions.,

As an experienced AI Architect, you will be responsible for leading the development of AI and Machine Learning infrastructure and specialized language models for HR applications. Your role will involve establishing and leading MLOps practices and driving the creation of scalable, production-ready AI/ML systems. You will collaborate with business teams to discuss the feasibility of AI/ML use cases and translate the vision of business leaders into realistic technical implementations. Your expertise will be crucial in defining the AI architecture, selecting appropriate technologies, designing and implementing robust ML infrastructure and deployment pipelines, and establishing comprehensive MLOps practices for model training, versioning, and deployment. In this role, you will lead the development of HR-specialized language models (SLMs), implement model monitoring, observability, and performance optimization frameworks, and develop fine-tuning strategies for large language models. You will create and maintain data quality assessment and validation processes, design model versioning systems and A/B testing frameworks, and define technical standards and best practices for AI development while optimizing infrastructure for cost, performance, and scalability. To be successful in this position, you should have 7+ years of experience in ML/AI engineering or related technical roles, with at least 3 years of hands-on experience in MLOps and production ML systems. Your expertise should include fine-tuning and adapting foundation models, knowledge of model serving infrastructure and orchestration, proficiency with MLOps tools such as MLflow, Kubeflow, Weights & Biases, and experience in implementing model versioning and A/B testing frameworks. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face, as well as experience with cloud-based ML platforms such as AWS, Azure, Google Cloud, are essential. A proven track record of deploying ML models at scale, developing AI applications for enterprise software domains, and knowledge of distributed training techniques and infrastructure will be beneficial. Familiarity with retrieval-augmented generation (RAG) systems, vector databases like Pinecone, Weaviate, Milvus, and understanding of responsible AI practices and bias mitigation are also desired. A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field is required for this position.,

The Applications Development Intermediate Programmer Analyst position is at an intermediate level and involves contributing to the establishment and implementation of new or revised application systems and programs in collaboration with the Technology team. Your main responsibility will be to participate in applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures, concepts, and other technical areas to identify necessary system enhancements and define them. This may involve using script tools, analyzing code, and consulting with users, clients, and technology groups to recommend programming solutions, as well as supporting customer exposure systems. Additionally, you will apply your programming language skills to design specifications and analyze applications for vulnerabilities, security issues, testing, and debugging. As an Intermediate Programmer Analyst, you will also serve as an advisor or coach to new or lower-level analysts, identify problems, analyze information, and recommend and implement solutions. You should be able to operate with a limited level of direct supervision, exercise independence of judgment, and act as a subject matter expert to senior stakeholders and team members. In this role, you will need to assess risks when making business decisions, considering the firm's reputation, and ensuring compliance with laws and regulations. You must have 3-6 years of relevant experience in the Financial Service industry, intermediate-level experience in Applications Development, clear and concise communication skills, problem-solving abilities, and the capacity to work under pressure and manage deadlines effectively. A Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field is required. Job Requirements: - Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred - 3+ years of experience as a Data Scientist, with at least 2 years in Generative AI - Proficiency in Python, TensorFlow, PyTorch, Transformers, and LangChain - Experience in API development on cloud platforms like AWS, Azure, GCP - Deep understanding of Machine Learning concepts - Strong analytical and problem-solving skills - Excellent communication and presentation skills Preferred Qualifications: - Experience with MLOps practices and tools - Familiarity with chatbot development frameworks - Knowledge of data visualization and reporting tools - Contributions to open-source projects or publications This role requires a motivated individual with a passion for Generative AI and a proven ability to deliver impactful results.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Drive the strategic vision for AI/ML initiatives and align them with the company's broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

As an AI/ML Engineer, you will be a valuable member of our team, contributing to the development of intelligent systems that harness the power of machine learning and artificial intelligence. Your primary responsibilities will include designing, creating, and implementing machine learning models to address a variety of use cases, such as prediction, classification, NLP, and computer vision. You will collaborate closely with diverse teams to deliver innovative solutions that tackle real-world challenges effectively. Your key responsibilities will involve: - Designing and implementing machine learning models and algorithms for different applications. - Analyzing and preprocessing extensive datasets to establish resilient training pipelines. - Staying abreast of the latest advancements in AI/ML through research and integrating relevant techniques into projects. - Training, fine-tuning, and optimizing models to ensure high performance and scalability. - Deploying models into production environments using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Working alongside software engineers, data scientists, and product teams to seamlessly integrate AI/ML solutions into applications. - Monitoring model performance in production, continuously iterating for enhancements, and documenting design decisions, code, and models for transparency and reproducibility. Preferred qualifications for this role include: - Proficiency in NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). - Familiarity with deep learning architectures like CNNs, RNNs, GANs, or transformer models. - Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). - Previous contributions to open-source AI/ML projects or publications in relevant conferences/journals. If you are passionate about AI/ML technologies and eager to work on cutting-edge solutions that make a meaningful impact, we encourage you to apply for this exciting opportunity to join our dynamic team.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

You are a skilled and motivated AI Developer with over 3+ years of hands-on experience in building, deploying, and optimizing AI/ML models. Your expertise includes strong proficiency in Python, Scikit-learn, machine learning algorithms, and practical experience of Azure AI services, Azure AI foundry, Copilot Studio, and Dataverse are mandatory. You will be responsible for designing intelligent solutions using modern deep learning and neural network architectures, integrated into scalable cloud-based environments. Your key responsibilities will include utilizing Azure AI Foundry and Copilot Studio to build AI-driven solutions that can be embedded within enterprise workflows. You will design, develop, and implement AI/ML models using Python, Scikit-learn, and modern deep learning frameworks. Additionally, you will build and optimize predictive models using structured and unstructured data from data lakes and other enterprise sources. Collaborating with data engineers to process and transform data pipelines across Azure-based environments, you will develop and integrate applications with Microsoft Dataverse for intelligent business process automation. Applying best practices in data structures and algorithm design, you will ensure high performance and scalability of AI applications. Your role will involve training, testing, and deploying machine learning, deep learning, and neural network models in production environments. Furthermore, you will be responsible for ensuring model governance, performance monitoring, and continuous learning using Azure MLOps pipelines. Collaborating cross-functionally with data scientists, product teams, and cloud architects, you will drive AI innovation within the organization. As a qualified candidate, you hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. With 3+ years of hands-on experience in AI/ML development, you possess practical experience with Copilot Studio and Microsoft Dataverse integrations. Expertise in Microsoft Azure is essential, particularly with services such as Azure Machine Learning, Azure Data Lake, and Azure AI Foundry. Proficiency in Python and machine learning libraries like Scikit-learn, Pandas, and NumPy is required. A solid understanding of data structures, algorithms, and object-oriented programming is essential, along with experience in data lakes, data pipelines, and large-scale data processing. Your deep understanding of neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and model tuning will be valuable in this role. Familiarity with MLOps practices and lifecycle management on cloud platforms is beneficial. Strong problem-solving abilities, communication skills, and team collaboration are important attributes for this position. Preferred qualifications include Azure AI or Data Engineering certification, experience in deploying AI-powered applications in enterprise or SaaS environments, knowledge of generative AI or large language models (LLMs), and exposure to REST APIs, CI/CD pipelines, and version control systems like Git.,

You are a skilled AI Developer with 24 years of experience, and you will be joining a dynamic team. Your main responsibility will be to design, develop, and fine-tune AI models for image and text data, focusing on Generative AI technologies such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. You will be implementing, training, and optimizing deep learning models for Natural Language Processing (NLP), Computer Vision (CV), and multimodal AI tasks. Your role will also involve managing the end-to-end lifecycle of AI projects, including data collection, pre-processing, model training, evaluation, and deployment. Collaboration with data scientists, software engineers, and product managers to integrate AI solutions into existing systems and products will be crucial. Staying updated with the latest advancements in AI research and applying innovative techniques to solve complex problems will be expected from you. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with 2 - 4 years of hands-on experience in developing AI solutions, particularly in Generative AI models. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras is necessary. A strong understanding of deep learning algorithms, especially in generative models like GANs, VAEs, and transformer architectures, is required. Experience in pre-processing and augmenting large datasets for training AI models will be advantageous. Moreover, familiarity with cloud platforms (AWS, GCP, Azure) for model training and deployment is preferred. Excellent problem-solving skills and the ability to work collaboratively in a team are essential. Experience with Natural Language Processing (NLP) techniques and frameworks, knowledge of MLOps practices and tools for continuous integration and deployment of AI models, and familiarity with ethical AI practices, including strategies for mitigating bias and ensuring responsible AI usage, will be beneficial for this role.,