17 Ethical Ai Jobs

About the Role We are seeking a highly skilled Program Manager to lead and oversee our Large Language Model (LLM) initiatives across multiple geographies. This role will be responsible for end-to-end delivery of projects involving data annotation, fine-tuning, reinforcement learning with human feedback (RLHF), evaluation, and deployment of LLMs at scale. The ideal candidate will combine technical expertise in AI/ML with strong program management and stakeholder skills , ensuring that projects are executed on time, within budget, and in compliance with global regulations. Key Responsibilities Program Leadership Drive planning, execution, and delivery of LLM/GenAI projects. Manage multi-country teams (engineers, annotators, contractors, vendors). Coordinate across internal stakeholders (engineering, product, legal, compliance). Technical Oversight Work closely with ML Engineers, Data Scientists, and MLOps teams. Translate research and business needs into project milestones. Oversee dataset collection, cleaning, multilingual annotation, and model training. Operational Excellence Establish workflows for SFT, RLHF/RLEF, and evaluation pipelines. Ensure delivery of high-quality annotated assets (text, video, speech, gaming datasets). Track KPIs: throughput, quality, accuracy, latency, and cost efficiency. Governance & Compliance Ensure adherence to data security, privacy, OFAC compliance, and ethical AI standards. Work with legal counsel on contracts, vendor agreements, and global workforce compliance. Business Alignment Collaborate with Product Managers to define roadmap and ROI. Communicate status, risks, and outcomes to executive leadership and clients. Build strong client/vendor relationships (Google, Meta, Appen, Scale AI, etc.). Timing : Should be in position to cover the US Time zone(s) Show more Show less

As a Generative AI Architect at NiCE, you will be responsible for providing technical leadership and architectural direction for the development and integration of Generative AI solutions within the organization's product portfolio and platform. Your role will involve collaborating closely with engineering, data science, product, and business stakeholders to ensure effective design, scalability, security, and operationalization of GenAI-powered features and systems. **Key Responsibilities:** - Set the end-to-end technical direction for Generative AI initiatives, including platform, technology stack, tools, and infrastructure. - Architect, design, and oversee the implementation of GenAI models and pipelines for production use cases. - Collaborate with cross-functional teams to define requirements, deliver functional and design specifications, and ensure alignment with business objectives. - Ensure that Generative AI solutions are scalable, secure, reliable, and maintainable, adhering to enterprise standards and best practices. - Lead architectural and design reviews for GenAI features and help establish coding and model development standards. - Evaluate, select, and integrate third-party GenAI platforms, frameworks, APIs, and cloud services as appropriate. - Drive continuous innovation by staying up-to-date with advances in GenAI, ML, and AI infrastructure. - Foster a culture of engineering excellence, mentoring team members on AI/ML, MLOps, and responsible AI practices. - Ensure robust model monitoring, performance evaluation, and feedback loops for deployed GenAI systems. - Collaborate with security and compliance teams to ensure adherence to data governance, privacy, and AI ethics requirements. - Contribute to strategic planning for AI initiatives and the company's long-term technology roadmap. - Mentor teams on the importance of each MCP pillar and drive adoption of best practices throughout the AI development lifecycle. **Qualifications:** - 15+ years of software development or technical leadership experience, with at least 5 years focused on AI/ML solutions and a minimum of 2 years architecting Generative AI systems. - Expertise in designing and deploying production-grade Generative AI solutions, including LLMs, summary generation, prompt engineering, and RAG-based architectures. - Experience with leading AI/ML frameworks and MLOps tools. - Strong understanding of cloud platforms and AI services. - Deep knowledge of machine learning concepts, data engineering, and model operationalization at scale. - Familiarity with responsible AI practices, including data privacy, fairness, explainability, and compliance. - Proficient in programming languages such as Python, Java, or similar; experience with containerization and orchestration. - Experience driving Continuous Integration and Delivery for AI/ML solutions. - Excellent problem-solving, decision-making, and communication skills. - Proven ability to mentor engineers and data scientists, foster teamwork, and drive consensus. - Experience working in Agile development environments. - Strong quality orientation, attention to detail, and ability to translate ideas into robust solutions. - Familiarity with security technologies and best practices for AI-enabled platforms. - Experience with AI/ML testing, monitoring, and continuous model evaluation in production. - Exposure to natural language processing (NLP) and computer vision applications. - Familiarity with MCP framework. - Passion for delivering innovative, high-quality GenAI products and platforms. - Ability to work independently and collaboratively across multi-disciplinary teams. - Demonstrated leadership in adopting new technologies and driving organizational change. - Strong customer orientation and ability to communicate complex technical concepts to non-technical stakeholders. - Commitment to ethical AI and continuous learning. NiCE offers a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Join the NiCE team and be part of a fast-growing, highly respected organization where innovation and growth are at the forefront. Enjoy NiCE-FLEX hybrid model, combining office and remote work for maximum flexibility.,

As a Technical Information Security Officer (TISO) at the Service, Solutions and AI Domain, your mission is to revolutionize the Private Bank process landscape by implementing holistic, front-to-back process automation. Your commitment lies in enhancing efficiency, agility, and innovation with a focus on aligning every step of the process with customer needs. You will drive innovative technologies like AI and workflow services to foster continuous improvement, aiming to deliver best-in-class solutions and set new benchmarks in the industry. Your responsibilities include assuming ownership of assigned IT assets, conducting risk and compliance assessments, providing guidance on security requirements, approving access control setups, and ensuring the implementation of necessary security controls. You will collaborate with key role holders to develop secure environments, perform risk assessments, document risk management activities, and influence IT risk policies and standards for compliance and mitigating potential security risks. Additionally, you will oversee incident management, documentation, compliance, escalation, conflict resolution, regulatory awareness, cloud security, OSS vulnerability management, and ethical AI practices. To excel in this role, you are expected to have strong technical knowledge of information security principles, practices, and technologies, proficiency in AI and ethical AI practices, expertise in cloud security, OSS vulnerability management, analytical skills, excellent communication skills, commitment to continuous learning, a relevant educational background, professional experience in information security, relevant certifications, teamwork, initiative, cybersecurity knowledge, configuration skills, platform, and database knowledge. You will receive training, coaching, and support for career progression and benefit from a culture of continuous learning. Deutsche Bank Group promotes a positive, fair, and inclusive work environment, welcoming applications from all individuals. Together, we aim to excel every day, act responsibly, think commercially, take initiative, and work collaboratively to share and celebrate our successes. Visit our website for more information: https://www.db.com/company/company.htm.,

As an AI/ML Consultant specializing in Generative AI and Machine Learning, you will leverage your 8+ years of experience to lead and deliver AI initiatives in the Healthcare, BFSI, and Manufacturing sectors. Your role will involve collaborating with stakeholders to develop scalable AI solutions that integrate Generative AI techniques like LLMs and transformers with traditional ML approaches such as time series analysis, classification, and deep learning. Your core responsibilities will include: AI/ML Strategy & Delivery: - Leading end-to-end AI/ML projects, from concept to implementation. - Working closely with stakeholders to transform business requirements into effective AI solutions. - Applying a combination of Generative AI and traditional ML methods to address diverse industry challenges. Technical & Platform Expertise: - Designing and implementing GenAI solutions using technologies like LLMs, agentic AI, and LangChain. - Hands-on experience with NLP, RAG, LoRA/PEFT, and prompt engineering. - Proficiency in Python programming and familiarity with TensorFlow, PyTorch, and HuggingFace. - Expertise in working with vector databases such as FAISS, Chroma, and Pinecone. - Implementing MLOps best practices, including CI/CD and ML model lifecycle management with tools like MLflow. Integration & Innovation: - Developing AI-powered applications using frameworks like Streamlit and FastAPI. - Deploying models on cloud platforms like AWS, Azure, and GCP, as well as GPU/TPU accelerators. - Collaborating with engineering and product teams to integrate AI solutions into enterprise systems. Qualifications for this role include: - 8+ years of experience in AI/ML, with at least 2-3 years in client-facing or leadership positions. - Demonstrated expertise in leading complex AI programs and providing guidance to senior executives. - Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields. - Industry certifications in AWS, Azure, GCP, or Databricks would be beneficial. - Knowledge of regulated industries such as Healthcare, Pharma, and BFSI is preferred. In addition to your technical skills, strong communication abilities will be essential for effectively conveying complex technical concepts to non-technical audiences. Stay informed about the latest AI trends, including multimodal models and ethical AI practices, to drive innovation and maintain industry relevance.,

As a Computer Science and Artificial Intelligence Educator, your primary responsibility will be teaching middle/high school or college students the fundamentals of computer science, including programming, networking, data structures, and more. You will also be tasked with developing and delivering lessons on advanced AI topics such as machine learning, natural language processing, computer vision, and ethical AI. It will be essential for you to integrate AI tools and coding platforms like Python, TensorFlow, and ChatGPT into student learning experiences, guiding them in coding projects, robotics, and AI-driven applications. In this role, you will be expected to create lesson plans, assessments, and projects that align with current technology trends and educational standards. It is crucial to stay updated with the latest developments in AI and incorporate them into the teaching curriculum. Additionally, you will participate in staff meetings, professional development sessions, and school activities to contribute to a collaborative educational environment. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. Demonstrated experience in teaching computer science and AI-related subjects is required. Proficiency in programming languages like Python, Java, or C++ is essential, along with hands-on experience in AI tools, frameworks, and platforms. Strong communication, organizational, and problem-solving skills are also vital for success in this role. Preferred skills for this position include experience with project-based learning and digital tools, knowledge of cloud computing (AWS, Azure, or Google Cloud) in the context of AI, and familiarity with cybersecurity, data science, and ethical considerations in AI. This is a Full-time or Part-time position with a Day shift and Morning shift schedule, requiring in-person work at the designated location. Join us in fostering an inclusive, tech-forward learning environment that encourages curiosity and creativity among students.,

We are looking for an experienced Asia Digital, AI & Innovation Lead to drive our digital transformation and Artificial Intelligence (AI) initiatives across the dynamic and diverse Asia region. In this role, you will be responsible for defining, executing, and driving our digital and AI strategy, ensuring alignment with global objectives, fostering regional collaboration, maximizing reuse of solutions, and advocating for regional needs within our global teams. This is a unique opportunity to shape the digital future of our business in Asia, influencing customer engagement, operational optimization, and innovation. Key Objectives of the Role: - Strategic Alignment: Lead the development and execution of digital and AI strategies across Asia in alignment with global objectives. - Maximizing Reuse & Efficiency: Identify opportunities for common solutions, platforms, and AI models across countries in the region to enhance efficiency. - Regional Collaboration & Synergy: Foster collaboration among country-level digital and AI teams to create a cohesive regional digital ecosystem. - Regional Advocacy & Global Influence: Act as the primary liaison between Asia regional teams and global digital/AI leadership to influence global roadmaps. - Driving Innovation & Growth: Identify, pilot, and scale innovative digital and AI solutions to unlock new business value and enhance operational effectiveness. - Diverse Technology Experience: Understand technology applicability and translate functional needs into technology solutions. Key Responsibilities: - Develop and implement a comprehensive digital and AI roadmap for the Asia region in collaboration with country leads and global stakeholders. - Identify, evaluate, and prioritize digital and AI initiatives based on strategic impact and business value. - Lead the adoption and localization of global digital and AI platforms, tools, and methodologies across Asian markets. - Establish and lead regional communities of practice for digital and AI to promote best practices and capability building. - Champion the reuse of digital assets, data models, and AI components across different countries within Asia. - Collaborate with global digital, AI, IT, and business leadership to ensure regional requirements are incorporated into global strategies. - Monitor regional digital and AI performance, track key KPIs, and provide regular reports to regional and global leadership. - Stay updated on emerging digital technologies, AI trends, and competitive landscape in Asia. - Manage relationships with external partners, vendors, and technology providers in the digital and AI space. - Build, mentor, and develop a high-performing team of digital and AI professionals across the region. - Ensure compliance with regional regulations, data privacy laws, and ethical AI principles. Qualifications: - Masters degree in Engineering or Business Administration. - 10+ years of overall experience with 2+ years leading regional digital/technology initiatives in Asia. - Experience in B2C, B2B, or B2O environments is preferred. - Proven track record of implementing digital platforms, customer-facing applications, and AI/ML solutions. - Deep understanding of digital marketing, e-commerce, customer experience, data analytics, and emerging AI technologies. - Strong strategic thinking and leadership skills with exceptional communication abilities. - Experience with Agile methodologies and DevOps principles. - Strong analytical skills and cultural sensitivity working in diverse Asian markets. - Fluent in English (written and spoken).,

The opportunity: We are looking for a technical powerhouse - a hands-on Data Science and AI leader who can build, scale, and deploy machine learning systems that drive significant impact. As the key person in charge, you will be responsible for developing and executing the entire AI/ML strategy, from research to practical application, while playing a pivotal role in shaping a top-tier data organization. What you'll own: AI Leadership with a Global Lens: You will be tasked with establishing and leading a high-performing, multicultural team of data scientists, ML engineers, and analysts. Your role will involve setting a visionary path, fostering collaboration, and integrating diverse perspectives to stimulate innovation. Production-Grade AI at Scale: Your responsibilities will include deploying models that not only function effectively but also revolutionize processes such as fraud detection, credit scoring, and personalized finance on a large scale in various markets. Data Infrastructure for the Future: You will architect scalable, real-time systems that drive AI applications across different regions, languages, and regulatory landscapes. Fintech at Its Core: Your contributions will extend beyond technical aspects to directly impact financial inclusion, risk assessment, and overall growth in one of the world's most dynamic regions. Ethical AI for Real-World Impact: Ensuring fairness, transparency, and compliance in every model will be crucial, as trust forms the bedrock of the financial sector. Who you are: A Technical Leader Who Thrives in Diversity: You possess experience in building and leading teams with a diverse cultural mix, combining technical proficiency with emotional intelligence. A Hands-On AI/ML Expert: Your expertise lies in training, deploying, and scaling models, while also empowering your team members to reach their full potential. A Fintech or High-Stakes AI Veteran: Previous involvement in fraud detection, risk assessment, or financial analytics will be advantageous. A Communicator & Collaborator: You excel in bridging communication gaps between technical teams, executives, and regulators, effectively conveying complex AI concepts across various languages and cultures. Why this role Lead a Truly Regional Team: Collaborate with top talents from across Asia to develop AI solutions that cater to the needs of millions of diverse users. Zero Bureaucracy, Maximum Impact: Join a fast-paced environment where results matter; if you can demonstrate effectiveness, you will see your projects come to fruition swiftly. Your Legacy in Fintech: This opportunity is not just a job but a chance to shape your career significantly by leaving a lasting mark on the fintech industry.,

As a Technical Cofounder (AI/ML Media + Security) for a Creator Protection Platform, you will play a crucial role in addressing the growing issue of unauthorized AI-generated content that is negatively impacting creators" reputations and livelihoods. The primary goal of this role is to contribute to the development of a proprietary system that secures creator identities, verifies authenticity, and facilitates safe participation in the AI content space. Your responsibilities will include collaborating with industry contacts, leveraging early adopter interest, and establishing a clear path to market for the next-gen solution. It will be essential for you to design and secure the core system, using your expertise in AI/ML engineering, generative media, and security. Additionally, your strong background in cloud infrastructure and scalable systems will be valuable in ensuring the system's reliability and efficiency. This position offers a unique opportunity to be a full cofounder with equity in the company and the chance to define a new category within the market before it matures. As a remote-friendly role at the pre-seed/MVP stage of development, you will have the autonomy to contribute to a cutting-edge solution that empowers creators and protects their brand from unauthorized AI interventions. If you are an AI/ML engineer with a passion for ethical AI and the creator economy, and you are looking for a technical leadership role with significant equity, this opportunity is tailored for you. Join us in revolutionizing the creator protection landscape and making a meaningful impact on the digital content industry. To express your interest, please reach out via DM or email.,

As the Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a crucial role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, with a vision to accelerate our AI strategy by utilizing technologies such as machine learning, generative AI, agentic AI, and advanced analytics to create transformative products and capabilities for the energy sector. Your responsibilities will include leading the AI Innovation Center to drive research and development in AI and ML technologies specific to energy-related software use cases. You will define and execute the company's AI strategy, including identifying suitable platforms, tools, and applied AI models. Collaborating with cross-functional teams, you will develop AI-driven product features, services, and decision-support tools across our software ecosystem. Your role will also involve overseeing the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and drive positive business outcomes. Furthermore, you will be instrumental in building and leading a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. It will be your responsibility to ensure the responsible and ethical use of AI, complying with industry standards and regulatory requirements, especially those relevant to the energy industry. Staying abreast of the latest advancements in the field, you will evaluate and select AI/ML tools, frameworks, and platforms. Additionally, you will represent the company in industry forums, conferences, and AI research communities to promote innovation and thought leadership. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field, with a preference for a Master's degree. With over 10 years of experience in AI/ML, including at least 5 years in a leadership capacity, you should have a proven track record of successfully applying AI, machine learning, and generative/agentic AI in commercial software products. Strong communication skills, stakeholder management abilities, and experience presenting to executive leadership are essential for this position. Moreover, familiarity with energy industry data types, standards, and use cases, as well as knowledge of MLOps, data governance, and responsible AI practices, would be advantageous. While visa sponsorship is not provided for this position, applicants requiring reasonable accommodations during the application or interview process should contact the Human Resources Department.,

Job Title: Senior Software Development Engineer Location: Pune/Bangalore About the Company: Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Why Gruve: At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If youre passionate about technology and eager to make an impact, wed love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted. Position summary: We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology. Key Roles & Responsibilities: Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, focusing on Large Language Models (LLMs) and other deep learning applications. End-to-End Model Development: Lead the entire lifecycle of AI modelsfrom data collection and preprocessing to training, fine-tuning, evaluation, and deployment. Fine-Tuning & Customization: Leverage techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications. Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1, exploring their applications in enterprise AI workflows. Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes. Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications. MLOps & CI/CD Pipelines: Implement best practices for MLOps, ensuring automated training, deployment, monitoring, and continuous improvement of AI models. Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable. API Development & Microservices: Develop RESTful APIs and microservices to integrate AI models seamlessly into enterprise applications. Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines. Collaboration & Stakeholder Engagement: Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions. Mentorship & Technical Leadership: Guide and mentor junior engineers, fostering best practices in AI/ML development, model fine-tuning, and software engineering. Research & Innovation: Stay updated with emerging AI trends, conduct experiments with cutting-edge architectures and fine-tuning techniques, and drive innovation within the team. Basic Qualifications: A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field Experience: 5-8 Years Strong programming skills in Python and Java Good understanding of machine learning fundamentals Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) Familiar with frontend development and frameworks like React Basic knowledge of LLMs and transformer-based architectures is a plus. Preferred Qualifications Excellent problem-solving skills and an eagerness to learn in a fast-paced environment Strong attention to detail and ability to communicate technical concepts clearly,

Job Title: AI Transformation Lead Location: Hyderabad, India Department: CoE Digital & Data Reports To: Head of Digital and Data Key Responsibilities: Define and own the AI transformation strategy across the enterprise in alignment with business priorities and the Group IT digital roadmap. Identify and prioritize high-impact AI use cases across key functions such as R&D, supply chain, operations, and commercial. Establish and oversee responsible AI governance frameworks including ethics, data privacy, bias mitigation, and model lifecycle management. Lead cross-functional delivery teams of data scientists, engineers, and analysts to design, pilot, and scale AI solutions. Serve as a strategic advisor to senior leadership, translating complex AI trends into actionable business insights. Develop organizational AI capabilities, including platform selection, talent development, and operating model evolution. Champion a culture of innovation, experimentation, and AI literacy throughout the organization. Stay abreast of emerging AI technologies and trends and incorporate them into Lonzas digital and data transformation roadmap. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field. MBA or equivalent business qualification is a plus . Required Skills and Experience: 8–14 years of advanced experience in AI, data science, or digital transformation leadership roles. Proven track record in leading enterprise-scale AI programs from ideation to deployment. Strong understanding of AI/ML technologies , data ecosystems, and enterprise IT infrastructure. Experience in governance, ethical AI practices , and model lifecycle management. Demonstrated ability to bridge strategy and execution to deliver tangible business outcomes. Exceptional stakeholder management and communication skills, with ability to engage non-technical and executive audiences. Experience in regulated industries (e.g., life sciences, finance, or healthcare) is preferred.

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to interface with the client for quality assurance issue resolution and ensuring high customer satisfaction You will understand requirements create and review designs validate the architecture and ensure high levels of service offerings to clients in the technology domain You will participate in project estimation provide inputs for solution delivery conduct technical risk planning perform code reviews and unit test plan reviews You will lead and guide your teams towards developing optimized high quality code deliverables continual knowledge management and adherence to the organizational guidelines and processes You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology DevOps DevOps Architecture Consultancy Technology Finacle Core Payments Positive Pay Services Advance Technology Infrastructure Mainframes Security Technology OpenSystem Python OpenSystem Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities Strong Technical Skills Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving analytical and debugging skills Preferred Skills: Technology->Cloud Security->AWS - Infrastructure Security->AWS WAF,Technology->DevOps->DevOps Architecture Consultancy,Technology->OpenSystem->Python - OpenSystem->Python,Technology->Machine Learning->Responsible AI->ethical ai,Domain->Healthcare->Payer->FACETS,Technology->Healthcare->EDI

We're Hiring: AI/ML Consultant Location: Vijayawada Experience: 510 Years | Type: Full-Time | Industry: Artificial Intelligence, Machine Learning, Data Science Do you have a passion for building intelligent systems that solve real-world problems? Are you skilled in deploying scalable AI/ML models that create business impact? If yes, we’d love to hear from you! Role Overview We are looking for an AI/ML Consultant to develop and integrate intelligent solutions that drive automation, decision-making, and innovation across multiple domains. Key Responsibilities Design and deploy AI/ML models for data-driven solutions Optimize models for scalability, accuracy, and interpretability Integrate AI models with low-code/no-code platforms for business users Work with stakeholders to define AI use cases and encourage adoption Required Skills Proficient in Python, R, and frameworks such as TensorFlow, PyTorch, Scikit-learn Experience in MLOps, model deployment, CI/CD, and version control Knowledge of ethical AI, bias detection, and explainable AI techniques Hands-on experience with AI-driven automation, chatbots, and decision support systems Preferred Certifications Certified AI/ML Engineer (AWS, Google Cloud, Microsoft) TensorFlow Developer Certificate Certification in AI Ethics & Governance

About the Role: We are seeking a dynamic and strategic VP of Engineering to lead and manage Karyas engineering team. This executive will play a pivotal role in scaling our technology infrastructure by managing both the people and processes within the technology team. Key Responsibilities: Serve as a hands-on technical leader overseeing the technical team and all engineering operations including architecture, design, software development processes and pipelines, and making individual contributions when necessary. Develop and implement strategies to drive innovation, scale technology, and ensure product quality and performance. Monitor, analyse, and continuously improve engineering KPIs, including delivery predictability, sprint velocity, incident resolution time, and defect rates, to ensure high performance and alignment with organizational goals. Collaborate closely with product, design, and other cross-functional teams to define product roadmaps and ensure timely delivery of features. Own the architecture and technical decision-making for major projects, ensuring scalability, reliability, and security of the technology stack. Foster a culture of technical excellence, continuous improvement, and agility within the engineering teams. Act as a key partner in strategic planning and growth initiatives, offering technical expertise and insights to shape the companys direction. Ensure the engineering team is adaptive and stays on course with industry trends, adopting new technologies and tools when appropriate. Assist the CTO in mentoring team leaders and individual contributors, providing guidance on career development and technical growth. Ideal Candidate Proven experience as an engineering leader in a fast-paced, high-growth environment. Strong technical background with experience in software engineering, systems architecture, and technology operations. Experience with cloud platforms, distributed systems, and scaling technology solutions. Experience managing, mentoring, and developing high-performing engineering teams. Deep understanding of the software development lifecycle, from ideation through to deployment and support. Expertise in modern software engineering practices. Strong leadership, communication, and interpersonal skills, with the ability to work effectively with senior management and technical teams. Competitive Salary: We offer a competitive compensation package commensurate with experience, designed to attract top talent in the industry. Benefits & Growth: Enjoy flexible work options, comprehensive benefits, and ample opportunities for career growth. Be part of a mission-driven team with the chance to make a significant social impact while advancing your career.

Job Description Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: - Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. - Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML. Skills : - Generative AI,Large Language Models (LLMs),Diffusion Models,Machine Learning (ML),Artificial Intelligence (AI),Natural Language Processing (NLP),Python Programming,ML Frameworks (e.g., TensorFlow, PyTorch, Hugging Face),Azure,GCP,Ethical AI,Responsible AI,Vector Databases, RAG

Develop AI/ML models and manage subsurface data quality to support exploration and production workflows. Ensure secure, ethical use of data and delivery of automated insights to business teams Required Candidate profile AI/data professionals with geoscience understanding, skilled in analytics, ML, and data pipelines, or geoscientists with experience in data governance, system integration, and workflow digitization

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