9 Ethical Ai Jobs

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