Responsibilities:

• Collaborate with clients to understand their business objectives, challenges, and opportunities related to AI.
• Develop comprehensive AI strategies that align with clients’ business goals and industry trends.
• Conduct in-depth analysis of clients’ data, processes, and systems to identify areas for AI-driven improvements.
• Lead the design and implementation of AI solutions, including machine learning models, natural language processing, and computer vision applications.
• Provide thought leadership on AI trends, technologies, and best practices.
• Manage project timelines, deliverables, and client expectations to ensure successful project outcomes.
• Mentor and guide junior team members, fostering a collaborative and innovative team environment.
• Prepare and deliver high-quality presentations, reports, and documentation for clients and stakeholders.
• Stay current with advancements in AI and related technologies, continuously enhancing your expertise and knowledge.

Requirements & Skills:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in AI strategy, consulting, or a related field.
• Strong understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision.
• Proven experience in developing and implementing AI strategies for diverse industries.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Exceptional communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Ability to work effectively both independently and as part of a team.
• Strong business acumen and the ability to understand and address clients’ strategic needs.
• Experience in a consulting firm or professional services environment.
• Industry-specific knowledge in sectors such as oil & gas, power and utilities, mining, healthcare, finance, manufacturing, or retail.
• Certifications in AI, machine learning, or related fields.

The post AI Strategy / Techno-Functional Delivery, Deloitte appeared first on AI Jobs Latest.

Responsibilities:

• Design, develop, and implement API integrations with Gen AI technologies such as GPT, Gemini, and other relevant platforms to enhance business applications.
• Provide technical expertise in AI concepts, including NLP, Deep learning, and LLMs. Ability to tune/train LLM Models and leverage techniques to optimize outputs for relevance, completeness, and quality.
• Create evaluation frameworks to determine model accuracy.
• Provide regular model accuracy reports.
• Collaborate with product managers, data scientists, and software engineers to develop AI-driven solutions that meet business requirements.
• Optimize the performance of AI models and integrations to ensure efficiency, scalability, and reliability.
• Stay up-to-date with the latest advancements in AI technologies and recommend innovative solutions to improve existing systems.
• Create and maintain comprehensive documentation for AI models, API integrations, and technical processes.
• Identify and resolve technical issues related to AI integrations and model performance.
• Provide training and support to internal teams on the use and implementation of AI technologies.
• Ensure that Personal Information and security policies are respected when working with training data, if any.

Requirements & Skills:

• Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Experience: Minimum 2 years of experience in AI development
• Proficiency in programming languages such as Python
• Strong understanding of NLP, LLM concepts, and Gen AI models implementation, deployment, and evaluation.
• Strong understanding of MLOPs concepts such as continuous training, continuous monitoring, and continuous improvements to machine learning and AI systems
• Hands-on experience with Gen AI technologies such as GPT, Gemini, Claude, BERT, etc.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Certifications in AI/ML, cloud platforms, and related areas.
• Experience with meta-learning, few-shot learning, or prompt engineering for LLMs
• Knowledge of RESTful APIs and web services.
• Experience with Agentic AI and designing and building solutions is also preferred
• Have deployed Gen AI systems into production.

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Responsibilities:

• Work with the senior engineering leaders, product management, and others to set the technical vision for the Meraki Assurance ML/AI roadmap.
• Guide the ML engineering team through defining short, medium, and long-term goals to achieve the vision.
• Help with the recruiting strategy to build a diverse and inclusive team: driving decisions on who the team needs to hire.
• Mentor and coach engineers through technical challenges.
• Work on projects that span numerous networking domains and systems to help our ML solutions scale by handling enormous amounts of data.

Requirements & Skills:

• 12+ years of professional experience in machine learning, data engineering, software engineering, Dev/Ops, or related fields.
• Experience in building large-scale AI models and systems using MLOps practices, including deep learning models using frameworks such as Tensorflow, Keras, and PyTorch
• Experience working in a team to write robust, maintainable, and extendable code in Python and/or R.
• Experience with complex data sets, ETL pipelines, SQL, and general data engineering
• Expertise with cloud architecture and technologies like Amazon Web Services, Spark, Kubernetes, Docker, Jenkins, and Terraform

Bonus points:

• Experience building scalable and production-ready Generative AI solutions
• Have an understanding of real-time technologies such as Kafka, ClickHouse.

The post Lead Software Engineer – AI/ML, Cisco appeared first on AI Jobs Latest.

Responsibilities:

• Architect, implement, and monitor data pipelines, as well as conduct knowledge-sharing sessions with peers to ensure effective data use
• Work with team members and leaders to further develop our data strategy
• Develop and maintain a data catalog so that we have a full understanding of the data and events within our platform
• Maintain infrastructure-as-code (AWS CDK) provisioning, spin up new and/or revised data platform resources and environments to enhance data collection and processing from our applications and data sources
• Act as the primary technical decision-maker for the data platform and help hire and support analytical data personnel (e.g., Data Scientist, Data Analyst, BI Developer, etc)
• Analyze large amounts of data, both structured and unstructured, and create dashboards, queries, and visualizations

Requirements & Skills:

• Must have 7+ years of hands-on experience working with data platforms
• Experience being involved in the design and implementation of at least one data platform.
• Experience in streaming and/or batch analytics.
• Experience with scalable distributed data processing, management, and visualization tools.
• Experience using business intelligence tools and data frameworks.
• Strong working knowledge of Python for both provisioning cloud infrastructure and working with data.
• We’re a remote-first company, and we need people who can do their best work from home, collaborate effectively, work asynchronously, and are proactive about reaching out to peers to get things done and/or get themselves unstuck.
• Enthusiasm, a “can-do” attitude, and optimism when faced with difficult challenges.

The post Sr. Data Platform Engineer, Stability AI appeared first on AI Jobs Latest.

Responsibilities:

• Lead efforts to drive the design, development, prototype, and production of ML systems that address the customer needs
• Collaborate with the research team on developing the next generation of models, where you may assist with areas such as optimization of model training, model fine-tuning, dataset engineering, tooling, open-source efforts, etc.
• Work on the commercial side, productionizing generative model-based solutions, by partnering with platform and research teams, building the infrastructure to serve them at scale
• Write production-quality code and influence the next generation of Stability AI’s machine learning solutions
• Advocate for engineering best practices and upskill the team

Requirements & Skills:

• MS or PhD in Computer Science
• 1+ years of experience working on machine learning projects
• Familiar with diffusion models
• Proficiency with Python scientific stack, PyTorch, creating Jupyter/Colab notebooks
• Strong coding skills and comfortable with coding in production platforms
• Ability to diagnose technical problems, debug code, and automate manual routine tasks
• Ability to communicate machine learning concepts and results effectively through writing and visualization
• Track record of publication in top-tier machine learning conferences

The post Machine Learning Engineer, Stability AI appeared first on AI Jobs Latest.

Responsibilities:

• Work in collaboration with trading professionals, operations, and technology teams to design and build solutions enabling trade activities across a number of asset classes, including futures, equities, fixed income, derivatives, OTC, and FX.
• Collaborate with team members to conceptualize, design, and develop new software applications. Applications may be server-side enterprise solutions, GUI, or highly customized solutions developed for the specific needs of a business partner.
• Create solutions tailored to business requirements aligned with the long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development.
• Maintain and improve existing applications to support trading functions.
• Effectively unit test and perform integration testing on software components.
• Prepare and document design and program specifications.
• Manage timelines/deliverables towards the successful delivery of projects.
• Develop the right IT behaviors to enable building scalable solutions within predictable time frames.
• Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.
• Provide responsive business assistance while adhering to processes required for quality enterprise-level software development and support.

Requirements & Skills:

• University degree in Engineering or Computer Science preferred.
• Strong interest in capital markets and eagerness to contribute to the systems that support portfolio management activities.
• Knowledge of software development best practices and patterns.
• Experience in Python, or a keen interest to learn SQL, and a passion to keep up-to-date in technology.
• Knowledge of technologies for Cloud development. Experience working with AWS is preferred.
• Experience in FIX protocol is a bonus.
• Passion to expand your domain knowledge both on the job and through continued education.
• Commitment to CPP investments’ guiding principles of integrity, partnership, and high performance.

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