ob Title: AI Engineer ey Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. ualifications: Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code, and address complex technical challenges effectively. Self-motivated and fast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools. Show more Show less
Job Title: AI Engineer Required Experience :-2 to 5 years Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. Qualifications: Minimum of 2+ years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code, and address complex technical challenges effectively. Self-motivated and fast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools.
ob Title: AI Engineer. ey Responsibilities:. Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs.. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc.. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes.. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions.. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models.. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security.. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning.. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting.. ualifications:. Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success.. Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies.. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning.. Familiarity with best practices for large model deployment, monitoring, management, and scalability.. Experience with Azure Cloud services.. Strong communication, collaboration, and problem-solving abilities.. Commitment to ethical AI practices and security standards.. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc.. Hands-on experience with ML frameworks, libraries, and third-party ML models.. Expertise in building solutions using AI/ML/DL open-source tools and libraries.. Strong analytical and problem-solving skills.. Ability to write optimized and clear code, and address complex technical challenges effectively.. Self-motivated and fast learner, with a proactive approach to learning new technologies.. Proficiency in data analysis and troubleshooting skills.. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous.. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus.. Good knowledge of Azure AI/Cognitive Services tools.. Show more Show less
Job Title: AI Engineer Required Experience :-2 to 5 years Key Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. • This role is based in an AI lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic environment. Qualifications: Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architecture, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code and address complex technical challenges effectively. Self-motivated and afast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools.
As the Video Animator & Motion Graphics Designer at Channel Fusion, you will be responsible for creating visually captivating content that breathes life into our company and solutions through compelling visual storytelling. Your expertise in animation and graphic design will be instrumental in producing engaging animated videos, promotional content, and graphics that resonate with audiences across various digital platforms. Working closely with the marketing team, you will have the opportunity to transform concepts into visually stunning creations that elevate our clients" brands and messaging. You will play a key role in Strategic Visual Content Planning by collaborating with the marketing team to develop innovative concepts for animated videos, promotional content, and motion graphics. Your contribution to brainstorming sessions will be essential in generating fresh ideas for client projects, and you will assist in creating storyboards and animatics to visualize project concepts. In Animation and Motion Graphics Creation, you will produce high-quality animated videos, promotional content, and short video ads using industry-standard software. Your tasks will include designing and animating engaging logo animations, creating visually appealing motion graphics for various digital platforms, developing explainer videos, product demos, and corporate presentations. It is crucial to ensure that all animated content aligns with client brand guidelines and project objectives. Your Technical Expertise and Software Proficiency will be put to the test as you utilize Adobe Creative Suite, particularly After Effects, Illustrator, and Photoshop, to create professional-grade animations and graphics. Staying updated on the latest animation techniques and software updates and exploring new animation tools and technologies will be part of your responsibilities to enhance production quality and efficiency. In terms of Project Management and Collaboration, you will be expected to manage multiple projects simultaneously, ensuring timely delivery within budget constraints. Effective communication with clients to understand their vision and collaborate with other team members, including copywriters and sound designers, will be crucial in creating cohesive final products. Quality Control and Optimization will be a significant aspect of your role as you review and refine animations to ensure smooth motion and visual appeal. Optimizing animations for various platforms and devices and adhering to best practices in file management and organization for efficient workflow will be essential. Required qualifications for this role include a Bachelor's degree in Animation, Graphic Design, or a related field (or equivalent experience), 3+ years of professional experience in video animation and motion graphics design, expert proficiency in Adobe After Effects, Illustrator, and Photoshop, a strong portfolio demonstrating a range of animation styles and motion graphics work, excellent understanding of animation principles, color theory, and typography, ability to work efficiently under tight deadlines without compromising quality, and strong communication skills to translate client needs into visual concepts. Preferred qualifications include experience with 3D animation software (e.g., Cinema 4D, Blender), knowledge of video editing software (e.g., Adobe Premiere Pro), familiarity with audio editing for animation projects, and experience working in a creative agency or with diverse clients. In return, we offer a creative and collaborative work environment that fosters innovation, opportunities for professional growth and skill development, competitive salary based on experience and skill level, comprehensive benefits package including health, dental, and vision insurance, flexible work arrangements to support work-life balance, access to the latest animation and design software and tools, regular team-building activities, and a supportive company culture.,
Job Title: Head of AI & Product Innovation Job Summary: Lead the development and execution of Channel Fusion's AI roadmap with a relentless focus on speed-to-market, measurable business impact, and innovation at scale. This role blends strategy, rapid execution, and cross-functional influence to deliver AI-driven solutions that transform internal operations and client-facing platforms. You will operate in an ambitious, performance-driven environment, balancing bold experimentation with a laser focus on ROI. Key Responsibilities: Own and Drive the AI Strategy. Create, maintain, and accelerate an AI use-case portfolio designed for competitive advantage and market differentiation. Facilitate Cross-Functional Discovery. Engage with executives, product owners, client services, and operations to uncover high-impact AI opportunities. Translate Business Needs into Scalable Solutions. Design for automation, interoperability, and adaptability to support rapid expansion. Lead Agile Execution. Build and direct multidisciplinary teams to deliver MVPs, iterate quickly, and push for deployment ahead of market timelines. Champion a Culture of Experimentation. Pilot emerging AI/LLM technologies, measure impact aggressively, and pivot quickly based on learnings. Report with Impact. Deliver clear, concise progress updates to the Executive Leadership Team, highlighting ROI, efficiency gains, and growth outcomes. Knowledge, Skills, and abilities: 5 + Years in product leadership, technical program management, or AI/ML solution delivery. Strong grasp of GPT/LLM technologies, workflow automation, and applied AI in a business context . Proven success in scaling digital platforms or SaaS solutions. Exceptional stakeholder management and ability to influence at the executive level. Ability to manage ambiguity and deliver results in high-change, high-growth environments.
Job Title:- Senior ML LLM Engineer/Technical Lead Summary: This position will own the design, fine-tuning, deployment, and continuous optimization of Large Language Model (LLM)-powered services at scale. You will architect AI solutions that not only work but perform reliably in high-volume, mission-critical environments. This role requires a high-impact leader who can translate business objectives into scalable AI systems, accelerate model deployment cycles, and ensure measurable ROI from every AI initiative. Key Responsibilities: High-Impact Model Development & Optimization Rapidly design, fine-tune, and benchmark LLMs (GPT-4o, Claude, open-source models) to meet performance and cost-efficiency targets. Architect Retrieval-Augmented Generation (RAG) pipelines with optimized query latency for real-time user experiences. Select and implement models for scalability across multiple product lines and operational workflows. Production-Grade AI Deployment Lead end-to-end deployment of AI services into client-facing products and internal tools, ensuring >99% uptime. Build scalable APIs and microservices for AI model integration across multiple environments. Partner with DevOps and Security teams to ensure AI deployments meet compliance, privacy, and SOC2/SOC1 standards. MLOps & Lifecycle Management at Scale Implement automated pipelines for model training, evaluation, deployment, and monitoring. Establish and track performance metrics (latency, accuracy, hallucination rate, cost per query). Proactively manage model drift and retraining cycles to maintain performance under changing data conditions. Strategic Collaboration & Impact Work with TSL and AISO (AI Service Organization) teams to align AI capabilities with growth objectives. Serve as the technical AI subject matter expert for executive strategy sessions and client discussions. Evaluate emerging AI technologies and recommend adoption strategies that deliver competitive advantage. Knowledge, Skills, and Abilities 3-5 years in ML engineering, applied NLP, or AI systems architecture with proven production deployments. Expert in Python and AI frameworks (LangChain, HuggingFace, LlamaIndex, FastAPI). Strong experience with Azure AI stack, vector databases, and streaming architectures. Deep understanding of model evaluation, monitoring, drift detection, and retraining. Ability to rapidly prototype and iterate while maintaining enterprise-grade reliability. Data-driven decision-making with a focus on measurable business outcomes (ROI, adoption, cost optimization). Experience scaling AI solutions for B2B SaaS or high-transaction platforms. Familiarity with AI governance, compliance, and ethical frameworks. Track record of delivering AI features or tools that directly increased revenue, reduced costs, or accelerated workflows.
As an AI Engineer, your primary responsibility will be to architect, develop, and deploy advanced AI solutions that incorporate Machine Learning, Generative AI, NLP, and LLMs. It is crucial to stay updated on the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, and Vector Databases. Your role will also involve streamlining data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration for optimizing business outcomes. Collaboration with cross-functional teams, including business units, accounts teams, researchers, and engineers, will be essential to translate business requirements into actionable AI solutions. You must exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identifying and mitigating potential risks related to AI and LLM development and deployment, while emphasizing data trust and security, will also be part of your responsibilities. Moreover, you will contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and requires hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. To qualify for this position, you should have a minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. A Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience) is required. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies, is essential. Additionally, you should have an understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability is crucial. Experience with Azure Cloud services, strong communication, collaboration, problem-solving abilities, and a commitment to ethical AI practices and security standards are also necessary. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc., along with hands-on experience with ML frameworks, libraries, and third-party ML models, is expected. Expertise in building solutions using AI/ML/DL open-source tools and libraries, strong analytical and problem-solving skills, the ability to write optimized and clear code, and address complex technical challenges effectively are important qualities for this role. Being self-motivated, a fast learner, with a proactive approach to learning new technologies, proficiency in data analysis and troubleshooting skills, and experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous, are also required. A minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus, and good knowledge of Azure AI/Cognitive Services tools are additional qualifications for this position.,
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