4345 Artificial Intelligence Jobs - Page 6

Immediate Openings on Network Security - Zscaler _ Hyd/Bangalore_Contract Skill: Network Security - Zscaler Notice Period: Immediate . Employment Type: Contract Job Description Zscaler ZIA ZPA is primary - must have worked in zscaler for atleast 3 years SIEM Exabeam AA and DL as Secondary Skills.

SAP Fiori/UI Consultant with BTP knowledge - Offshore 7+ years of SAP Fiori/UI5 hands-on development experience in the implementation, support & roll-out projects Design, develop, and deploy cloud-based applications on the SAP BTP platform using SAP Cloud Platform tools and technologies Collaborate with cross-functional teams to define requirements and create technical specifications for new applications and enhancements. Develop and maintain SAP BTP extensions and add-ons for existing SAP solutions such as S/4HANA and SuccessFactors. Experience in front end technologies like HTML5, JavaScript, CSS. Experience Web services like REST API, SOAP, OData. Experience in SAP Cloud Workflow and Business Rules, SAP APIM, CAPM, and JavaScript and node.js Responsible to identify the re-usable components and microservices that could be used across other engagements and expedited the delivery and quality. Deep understanding on continuous integration, and continuous delivery and DevOps. Embrace cloud mindset and start-up culture in your team. Integrate SAP BTP applications with various SAP and non-SAP systems using integration technologies such as OData, REST, and SOAP. Ensure adherence to best practices and standards in SAP BTP development, including following the SAP Fiori Design Guidelines. Strong knowledge developing using the MVC concept. Good documentation skills for converting Functional specifications to technical specifications. Experience in SAP BTP and emerging technologies (AI/ML) is desirable API testing from 3rd Party Tools like Postman. Location - Chandigarh,Dadra & Nagar Haveli,Daman,Diu,Goa,Haveli,Hyderabad,Jammu,Lakshadweep,Nagar,New Delhi,Puducherry,Sikkim

Online / WALK-IN for Assistant Professor/Associate Professor (EEE/ISE/CSE/AIML/DS or Data Science/IT/MCom/Math/Chemistry/Physics) Asst/Asso Prof(eligibility: Mtech/ME and above) Lab Instructor(eligibility: Btech) Interview Date: 1st Jul- 15th Jul 2025 Contact/ Share Resume: Email: lalatendu.mohapatra@amceducation.in Mob: 8431768099 Role & responsibilities: 1. Teaching: Deliver lectures and lead classroom discussions. Develop and update course syllabi and materials. Evaluate and assess student performance through assignments, exams, and projects. Provide academic advising and mentorship to students 2. Research: Conduct independent and collaborative research. Publish research findings in peer-reviewed journals and present at academic conferences. Secure research funding and grants. 3. Service: Participate in departmental, college, and university committees. Contribute to curriculum development and program improvement. Engage in community service and outreach activities. 4. Professional Development: Stay updated with advancements in the field. Participate in workshops, seminars, and conferences to enhance teaching and research skills. 5. Other Responsibilities: Maintain office hours for student consultations. Collaborate with colleagues on interdisciplinary projects. Uphold academic integrity and institutional values. Preferred candidate profile: A Ph.D. or M.tech or equivalent terminal degree in the relevant field. Proven teaching experience at the undergraduate or graduate level. Strong record of scholarly research or potential for research excellence. Excellent communication, interpersonal, and organizational skills. Experience with curriculum development and instructional innovation. Ability to mentor students and foster their academic and professional growth. Collaborative and collegial approach to teamwork.

Job Title: Consultant Machine Learning Engineer Location: Chennai, India Company: Altimetrik Experience: 8-10 years Job Summary: We are looking for a highly skilled Senior Machine Learning Engineer with strong expertise in Python, SQL, Google Cloud Platform (GCP), BigQuery, Terraform, GCS, Looker, Vertex AI, Airflow, TensorFlow , and modern MLOps tools such as Tekton . The ideal candidate will design, build, and deploy scalable machine learning solutions and data pipelines in production environments, working closely with data scientists, data engineers, and business stakeholders. Roles & Responsibilities: ML Solution Development: Develop, train, and deploy ML models using Python , TensorFlow , and Vertex AI . Optimize model performance, scalability, and maintainability. Data Engineering & Pipelines: Design and implement data pipelines on GCP using Airflow , BigQuery (BQ) , GCS , and Terraform for infrastructure automation. Automate model training and deployment workflows using Tekton . Cloud Infrastructure & MLOps: Build robust CI/CD pipelines for ML models and data workflows. Manage infrastructure provisioning and configuration using Terraform . Ensure monitoring, observability, and governance for ML services. Visualization & Insights: Develop dashboards and reports in Looker to communicate insights to business stakeholders. Collaboration: Work cross-functionally with data scientists, product managers, and engineers. Mentor junior engineers and contribute to knowledge sharing across the team. Key Skills: Mandatory Technical Skills: Python (Advanced) SQL (Advanced) GCP services: BigQuery, GCS, Vertex AI, Looker TensorFlow Terraform Airflow Tekton MLOps best practices Additional Desired Skills: Experience with containerization and orchestration (e.g., Docker, Kubernetes) Exposure to Data Security and Governance principles Familiarity with other ML frameworks (e.g., PyTorch) Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 810 years of professional experience in machine learning, data engineering, and cloud infrastructure. Proven track record of building and deploying end-to-end ML solutions in production. Why Join Altimetrik? Opportunity to work on cutting-edge AI/ML solutions at enterprise scale. Collaborative culture focused on continuous learning and innovation. Access to the latest tools and technologies in cloud and machine learning. Preferred candidate profile

Role & Responsibilities Want to create new and innovative products in hydrographic software. Are willing to learn from and teach colleagues about advanced topics. Are a team player who excels working either remotely or in-person. Have excellent written and verbal communication skills. Are willing to present at conferences or submit papers based on work. Have strong customer focus. Are ready to take a high degree of ownership over a product. Required Knowledge, Skills, and Abilities: Expertise with C++, Git, and Atlassian. Perform on an expert level with computer science topics such as data structures and algorithms. Preferred knowledge of hydrographic topics (Geodesy, Surveying and Processing). Professional experience developing software in a team-based setting. Experience testing integrated hardware with stakeholders. Knowledge of Agile Development (CSM a plus). Experience presenting in a professional or conference setting. Experience in applied AI technology through C++. Experience in creating AI proof of concepts to show business viability. Experience deploying AI projects to customers. Education and Experience: Preferred 5 years of experience with C++. Attended an accredited University and achieved a minimum of a bachelors degree in Computer Science or Hydrographic Area. Experience developing software at a professional level. Experience working collaboratively within a team environment of engineers to meet aggressive goals and high-quality standards.

Designs and develops AI-powered chatbots using Kore.AI platform.

Develops AI-driven solutions using NLP and generative AI techniques, enhancing automation and language processing.

Develop data processing applications using Python and Pandas. Optimize performance for large-scale data analysis.

Develop and maintain applications using Python, focusing on building scalable, efficient systems. Work on web development, data analysis, and automation scripts, integrating Python into various technical stacks.

Job Title: Head of Analytics & Data Science BPM(Multi-Vertical) Location: India Gurgaon Department: Analytics Reports to: Chief Capability Leader Experience Required : 16+ years (with at least 5 years in senior analytics and data science leadership across multiple industries) Education : Masters or Bachelor's in Data Science, Statistics, Engineering, Business, or related field Job Summary : The Head of Analytics & Data Science will lead the end-to-end data and analytics strategy across multiple BPM industry verticals, delivering actionable insights, digital transformation, and measurable business impact to internal stakeholders and global clients. T his role demands deep expertise in analytics and advanced data science , combined with strong domain knowledge across Shipping & Logistics, Telecom, Insurance, Energy & Utilities, Retail & Diversified, Banking & Financial Services (BFS), Healthcare & Life Sciences, Automotive, and Travel & Leisure. The ideal candidate will drive analytics and data science maturity, scalable delivery models, and innovation through AI/ML, automation, and applied data intelligence . Key Responsibilities : 1. Strategic Analytics & Data Science Leadership Define and execute a unified analytics and data science roadmap aligned with the organizations digital and business transformation goals across all verticals. Champion the integration of advanced data science techniques (predictive modelling, optimization, machine learning) into core business functions. Collaborate with business leaders to embed data-driven decision-making i nto strategic and operational processes. 2. Client-Facing Solutioning & Delivery Serve as the senior advisor to clients, leading discovery sessions, solution design, and execution of advanced data science and analytics programs. Design customized , vertical-specific analytics and AI/ML solutions: Shipping & Logistics : Route optimization, warehouse analytics, predictive delivery Telecom : Churn prediction, usage pattern modelling, customer lifetime value Insurance : Fraud detection, risk scoring, claims analytics Energy & Utilities : Load forecasting, asset health modelling Retail & Diversified : Customer 360, pricing optimization, market basket analysis BFS : Risk modelling, credit scoring, anti-money laundering (AML) analytics Healthcare & Life Sciences : Patient outcome prediction, RWE analytics, care pathway modelling Automotive : Predictive maintenance, quality analytics, connected vehicle data modelling Travel & Leisure : Dynamic pricing, demand forecasting, personalization and loyalty analytics 3. Operational Analytics & Governance Establish and enforce best practices in data science model lifecycle management, data governance, and analytical operations. Drive efficiency and SLA improvements through continuous monitoring, dashboards, and KPI frameworks. Ensure m odel explainability, compliance (e.g., GDPR, HIPAA), and responsible AI principles in delivery. 4. Team Development & Leadership Build and lead high-performance global teams of data scientists, ML engineers, BI developers, and domain experts. Establish Centers of Excellence (CoEs) for analytics and data science by industry vertical and capability. Foster a c ulture of experimentation, innovation, and continuous learning in AI, ML, and data science. 5. Technology & Innovation Enablement Oversee the adoption of best-in-class platforms and tools: BI : Power BI, Tableau, Qlik Data Science & ML: Python, R, SAS, TensorFlow, Scikit-learn Cloud & Big Data: AWS, Azure, GCP, Spark, Databricks Lead initiatives involving generative AI, NLP, and real-time analytics to improve process automation and customer experience. 6. Data Science Excellence Own the design and scaling of ML pipelines, model ops frameworks, and AI-driven workflows across client programs. Introduce innovation in forecasting, classification, clustering, and optimization models. Build partnerships with academic institutions, AI labs, and vendors to continually enhance the firm’s data science maturity. Key Skills & Competencies : Deep multi-vertical expertise with strong domain understanding across listed industries Expertise in data science, statistical modelling, and ML deployment at scale Strong consultative, problem-solving, and solution architecture capabilities Executive presence and stakeholder management with global clients Proven ability to build analytics and data science teams, COEs, and delivery frameworks Preferred Background Senior leadership experience in analytics and data science within a BPM/KPO/Shared Services/Consulting environment Track record of driving data science-led transformation in client engagements Experience delivering programs for US, UK/EU, and APAC markets Familiarity with regulatory requirements and ethical AI standards across industries

Position Overview: We are looking for a results-driven Data Analyst with 3-8 years of experience to join our growing team focused on AI/ML data operations and analytics. The ideal candidate will have strong data wrangling skills and a passion for uncovering insights from complex datasets to inform labeling strategies, model training support, and product decisions. This role requires close collaboration with machine learning teams, program managers, and stakeholders to design scalable dashboards and actionable insights for AI/ML workflows. Key Responsibilities: Analyze large volumes of labeled and unlabeled data to identify trends, anomalies, and labeling patterns that can improve model training or operational efficiency. Design and maintain automated dashboards and reporting frameworks to track labeling quality, throughput, and issue trends. Partner with Client leadership to understand data requirements and provide actionable insights for model optimization. Develop scalable data pipelines for data validation, aggregation, and visualization. Apply data mining techniques to evaluate annotation consistency, inter-rater reliability, and data quality. Contribute to AI data evaluation strategies through analytical experimentation and feedback integration. Collaborate with cross-functional teams to enhance data annotation workflows and ensure metrics alignment. Requirements : Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. 3–8 years of hands-on experience in data analysis roles, preferably in AI/ML or data labeling environments. Proficient in SQL and Python for data manipulation, analysis, and automation. Understanding of data labeling workflows and familiarity with metrics like accuracy, precision, recall, and inter-rater agreement. Strong analytical thinking with the ability to interpret large datasets and provide actionable insights. Excellent communication skills with the ability to present findings to both technical and non-technical audiences. Self-starter with a keen eye for detail and a passion for working in AI-driven data environments.

We are looking for passionate and motivated Python / AI Developers to join our growing team. This is an excellent opportunity for freshers or junior developers to work on exciting AI projects and enhance their technical skills.

SP Tech is looking for a skilled AI / Python Developer to join our AI development team. If you are passionate about building AI-powered solutions and have hands-on experience in Python programming and AI/ML development, we would love to connect with you. This role offers the opportunity to work on innovative AI projects, collaborate with a dynamic team, and contribute to building real-world AI solutions for global clients. Key Responsibilities: Develop and deploy AI/ML models for real-world applications Write clean, efficient, and scalable Python code for AI projects Work with large datasets, data preprocessing, and feature engineering Collaborate with the AI team on research, prototyping, and production implementation Integrate AI models into applications, APIs, and platforms Stay updated with the latest AI/ML trends and technologies Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: 2 to 5 years of professional experience in Python development Strong understanding of AI/ML fundamentals and algorithms Hands-on experience with popular AI/ML libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Experience with building APIs and integrating AI models into applications Solid understanding of data structures, algorithms, and software design principles Familiarity with cloud platforms (AWS, Azure, GCP) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred (Nice to Have): Experience with NLP, Computer Vision, or Generative AI projects Knowledge of MLOps and AI model deployment practices Exposure to working in Agile environments

HIRING FRESHERS OPENINGS BE B.TECH CSE,IT,ECE,EEE,MCA 2023,24,25 Passout With Good Communication Immidiate Joiner Only

Job summary The Bot Expert is responsible for designing, developing, and maintaining chatbot systems that interact with users in natural language. The position plays a crucial role in creating intelligent, automated conversational experiences that enhance customer service, streamline business processes, and improve user engagement across various platforms. Key Responsibilities The responsibilities for the position include: Design and develop high-quality conversational bots using Google Dialogflow, Yellow.ai, and Kore.ai platforms. Understand and translate business requirements into technical specifications for conversational AI solutions. Implement custom scripting and integration with third-party services to enhance bot functionality. Conduct testing and debugging to ensure bots perform seamlessly across multiple channels. Collaborate with cross-functional teams to incorporate user feedback and continuously improve bot performance. Stay updated with the latest trends and advancements in conversational AI and bot development platforms. Provide technical support and documentation for developed bots. Adhere to laws, regulations, company policies, procedures, internal and external Standards Attend recurrent trainings published by the Client/Company on a regular basis Experience on Copilot Studio is mandatory

Primary Skill Genai, Langchain, Python, SQL Location –Bengaluru Experience – 3 Years to 6 Years Work Mode – Hybrid (3-4 Days work from office) Notice Period – Immediate to 30 Days Official

The candidate will have to leverage strong collaboration skills and the ability to extract valuable insights from highly complex data sets to ask the right questions. You'd be engaged in a fast-paced learning environment and will be solving problems for the largest organizations in the world mostly Fortune 500. The candidate will also work closely with internal business teams and clients to work on various kinds of data related problem solving like creating dashboards, automation, reporting, predictive and prescriptive analytics. Key Responsibilities: Model Development and Deployment: Design, implement and deploy scalable machine learning models using Azure ML Workbench and Azure Cognitive Services (e.g., Open AI, NLQ) Algorithm Expertise: Apply strong knowledge of machine learning algorithms (like Linear regression, logistic regression, decision trees, random forest and time series forecasting) to solve complex business challenges and enhance our existing models. Collaborative Development: Work closely with our data science and engineering teams to integrate models into cloud-based applications and services. Optimization: Continuously monitor model performance and iterate to improve accuracy and efficiency. Stay Updated: Keep abreast of the latest developments in the ML field, especially concerning Azure and associated technologies, ensuring our solutions remain industry leading. Required Skills & Experience: 4-8 years of extensive hands-on experience with developing ML Models and leveraging auto ML tools like Data Robot, Azure Cognitive Services and others Capabilities to implement GenAI/Open source LLM models and run various Natural Language Processing based algorithms Proficient in SQL and Python with experience using libraries such as Pytorch, pandas, NumPy and scikit-learn. Strong understanding and practical knowledge of various machine learning and deep learning algorithms Proven track record of deploying scalable machine learning models in real-world applications. Strong problem-solving skills and the ability to translate business requirements into analytical solutions. Solid understanding of statistical modelling techniques (e.g., regression, clustering, time series analysis), hypothesis testing, and experimental design. Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively present and communicate complex data insights. Familiarity with big data technologies (e.g., Hadoop, SnowFlake, Spark) and database languages (e.g., SQL) for handling and processing large-scale datasets. Deep knowledge and understanding of CPG industry, Supply chain and Inventory forecasting Preferred Qualifications: Bachelors degree in computer science, Engineering, Operations Research, Math, Economics, or related discipline Strong SQL, Python and Power Bi knowledge with hands-on experience Ability to work effectively & independently in a fast-paced environment with tight deadlines. Ability to engage with cross-functional teams for implementation of project and program requirements.

Key Responsibilities. Lead the strategic vision and roadmap for Opkey's AI-powered solutions, including our ERP-specific domain SLM and agentic AI technologies.. Translate business requirements into product specifications and guide cross-functional teams through the product development lifecycle.. Collaborate with engineering, data science, LLM and design teams to deliver high-quality AI products that address customer needs.. Work with domain experts to develop AI solutions that optimize ERP lifecycles.. Establish metrics and KPIs to measure product success and drive continuous improvement.. Stay current with advances in AI/ML technologies, particularly in NLP, agent-based systems, and enterprise automation.. Partner with sales and marketing teams to articulate the value proposition of our AI solutions to enterprise customers.. Lead competitive analysis and market research to ensure product differentiation and market fit.. Manage relationships with key technology partners and stakeholders.. Required Qualifications. 12+ years of experience in product management or product leadership roles, with at least 5 years focused on AI/ML products.. Proven track record of successfully launching enterprise AI solutions.. Deep understanding of modern AI/ML technologies, particularly LLMs, NLP, and agent-based systems.. Strong technical background with the ability to collaborate effectively with data scientists and engineers.. Excellent communication and stakeholder management skills.. Experience in B2B SaaS product management and go-to-market strategy.. Demonstrated ability to drive innovation in complex enterprise environments.. Good To Have. Experience with ERP systems (SAP, Oracle, Workday, etc.) and enterprise software.. MBA or advanced degree in Computer Science, AI, or related field.. Knowledge of enterprise software integration challenges.. Understanding of service level management (SLM) in enterprise contexts.. Skills & Competencies. Strategic thinking and visionary leadership.. Deep technical understanding of AI/ML concepts and applications.. Strong product management fundamentals (market research, roadmapping, prioritization).. Excellent communication and presentation skills.. Ability to translate complex technical concepts for business audiences.. Data-driven decision making.. Cross-functional leadership and influence.. Customer-centric mindset with empathy for enterprise pain points.. Adaptability and comfort with ambiguity in a rapidly evolving field.. Willingness to learn about ERP systems and their specific challenges.. What We Offer. Opportunity to lead the development of groundbreaking AI solutions in the ERP space.. Competitive compensation package including equity.. Collaborative and innovative work environment.. Professional development and growth opportunities.. Chance to work with cutting-edge AI technologies and shape the future of ERP management..

As a Graphic Designer, you will be leading the quality of all design creatives, and social media deliverables. Your role involves implementing and maintaining quality assurance processes, providing feedback to designers, and ensuring that all creatives aligns with client objectives and brand guidelines. You will play a crucial role in maintaining the integrity of our content and ensuring its effectiveness across various platforms. Note - Candidates with Creative Agency background preferred. Job Responsibilities:Oversee the quality of all graphic design content for Client delivery, including social media creatives, posts, general creatives, marketing materials, social media posts, and more. Ensure design is engaging, error-free, and meets client specifications. Collaborate with clients to understand their design needs and expectations. Ensure all content exceeds client requirements and address any concerns or revisions promptly. Identify areas for improvement in the creative delivery and strategy process and implement changes to enhance efficiency and quality. Work closely with designers, and project managers to provide constructive feedback and guidance. Strategize design ideas with clients, ensuring that creative strategies effectively address their needs and goals. Qualifications:3+ years of experience in graphic designStrong portfolio demonstrating social media design skillsExecute visual direction for all social media contentResearch oriented and self-motivated for qualityCapability to make stand-out visualsCollaborate with copywriters to develop cohesive and compelling visuals. Ensure all designs are consistent with brand guidelines. Case study and case board design experienceAdobe Creative Suite (Photoshop, Illustrator, etc. AI design tools usage

As a TA Intern, you will play a crucial role in helping us scale our teams by supporting bulk hiring efforts, coordinating recruitment processes, and assisting with end-to-end recruitment tasks. This role is ideal for someone looking to gain hands-on experience in recruitment and HR processes.. Selected Intern's Day-to-day Responsibilities Include. Assisting the recruitment team in sourcing and screening potential candidates through job boards, social media, and professional networks. Conducting initial phone interviews to assess candidates' qualifications, experience, and cultural fit. Coordinating and scheduling interviews between candidates and hiring managers. Maintaining and updating the applicant tracking system (ATS) with candidate information, job postings, and hiring statuses. Posting job openings on internal and external platforms, including the company website, job portals, and social media.

We are seeking a Senior Data & AI/ML Engineer with deep expertise in GCP, who will not only build intelligent and scalable data solutions but also champion our internal capability building and partner-level excellence.. This is a high-impact role for a seasoned engineer who thrives in designing GCP-native AI/ML-enabled data platforms. You'll play a dual role as a hands-on technical lead and a strategic enabler, helping drive our Google Cloud Data & AI/ML specialization track forward through successful implementations, reusable assets, and internal skill development.. Preferred Qualification. GCP Professional Certifications: Data Engineer or Machine Learning Engineer.. Experience contributing to a GCP Partner specialization journey.. Familiarity with Looker, Data Catalog, Dataform, or other GCP data ecosystem tools.. Knowledge of data privacy, model explainability, and AI governance is a plus.. Work Location: Remote. Key Responsibilities. Data & AI/ML Architecture. Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage.. Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines.. Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry.. Define and implement data governance, lineage, monitoring, and quality frameworks.. Google Cloud Partner Enablement. Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions.. Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP.. Contribute to building repeatable solution accelerators in Data & AI/ML.. Work with the leadership team to align with Google Cloud Partner Program metrics.. Team Development. Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning.. Organize and lead internal GCP AI/ML enablement sessions.. Represent the company in Google partner ecosystem events, tech talks, and joint GTM engagements.. What We Offer. Best-in-class packages.. Paid holidays and flexible time-off policies.. Casual dress code and a flexible working environment.. Opportunities for professional development in an engaging, fast-paced environment.. Medical insurance covering self and family up to 4 lakhs per person.. Diverse and multicultural work environment..

Key Responsibilities. Architect, build, and deploy AI/ML models for SaaS products at scale.. Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance.. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings.. Implement and optimize Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques.. Define and uphold best practices in AI model development, MLOps, and scalable deployment.. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering a culture of innovation and excellence.. Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives.. Stay abreast of advancements in AI and contribute thought leadership internally and externally.. Required Skills & Experience. 10 to12 years of experience in AI/ML engineering, with a strong record of working in SaaS and product-based environments.. Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and/or Generative AI.. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.. Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc.. Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus.. Deep understanding of MLOps, CI/CD for machine learning pipelines, containerization (Docker, Kubernetes).. Experience with LLM fine-tuning, prompt engineering, vector databases (e., Pinecone, FAISS) is highly desirable.. Has experience is having trained a SLM (or Medium Language Model), for a particular vertical.. This includes pre-training and fine-tuning.. Strong problem-solving skills and ability to navigate ambiguous technical challenges.. Excellent communication, leadership, and stakeholder management skills.. Preferred Qualifications. Master's or Ph.in Computer Science, Machine Learning, Data Science, or a related field.. Experience in Go-to-Market Strategy for AI-powered products.. Experience integrating AI into customer-facing SaaS products with measurable outcomes..

About the Role: . We are seeking a highly skilled backend engineer who is well-versed in the latest AI technologies, tools, and AI agents to help reimagine the future of digital content creation with Large Language Models (LLMs) at the core of the system. This is not an AI-flavored product the role involves conceptualizing, designing, and building workflows deeply integrated with LLMs. The future of content creation involves a transformation where AI will revolutionize processes such as ideation, content creation, distribution, and monetization, leaving human input focused primarily on creative execution. If you are passionate about AI-driven innovation and leading high-impact engineering teams, this role is for you.. Key Responsibilities:. Conceptualize and build an AI-powered Digital Content OS from the ground up.. Gain deep insights into digital content workflows and integrate them into the product.. Collaborate with the founding engineering team to build backend systems and contribute to early technical decisions.. Work with a lean team to rapidly develop and deliver MVPs across different modules.. Hands-on coding and developmentthis is NOT a hands-off leadership role.. Key Qualifications:. 3-5 years of relevant hands-on coding experience is mandatory.. Hands-on experience building products using LLMs this is a must-have, not optional.. Proven experience as a backend engineer, ideally with experience integrating LLMs, APIs, and scalable infra.. Strong background in building AI-first applications, particularly leveraging LLMs like OpenAI.. Experience with serverless architectures, vector databases, and Retrieval-Augmented Generation (RAG).. Deep understanding of scalable architectures and performance optimization.. Excellent problem-solving skills and the ability to work effectively under pressure.. Previous experience working with Generative AI (GenAI) and/or founding a startup is highly valued.. Bonus: Experience with vector DBs, RAG, prompt chaining, or Langchain.. Why Join Us. Work on cutting-edge AI-driven technologies.. Lead and shape the engineering vision from an early stage.. Collaborate with a team that values innovation and rapid iteration..

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering, Manual Testing Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to identify and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI tools and cloud services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 3 years of experience in Prompt Engineering.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision , Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. ________________________________________ Responsibilities: • Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. • Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. • Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. • Utilize Azure AI Services , Cognitive Services, and other cloud-native AI tools to build intelligent applications. • Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. • Follow best practices in software engineering, including CI/CD, testing, and documentation. ________________________________________ Requirements: • Bachelors or Master’s degree in Computer Science, Engineering, or a related field. • Proven experience as a senior software or data engineer, with a strong backend focus. • Advanced proficiency in Python, demonstrated through real-world projects. • Practical experience with backend technologies and frameworks. • Strong knowledge of CI/CD frameworks and DevOps practices. • Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. • Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. • Experience with Docker and Kubernetes for containerization and orchestration. • AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. • Data engineering experience is a strong advantage.