4 Ml Algorithm Jobs

No of Positions: 3 We are seeking an experienced Generative AI Solution Architect to join our team. This role requires a deep understanding of AI/ML models, especially generative AI technologies like GPT, DALLE, Stable Diffusion, etc. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions that leverage generative models to solve complex business challenges. You will work closely with cross-functional teams to align AI strategies with business objectives and drive innovation. Key Responsibilities Develop and implement generative AI solutions that meet the needs of clients and align with the company's overall strategy. Design solutions that balance out speed with enterprise scalability and find appropriate solutions that fit the purpose. Lead a team of AI professionals to ensure successful project delivery and client satisfaction. Stay up to date with the latest AI trends and technologies to continuously improve the company's offerings. Collaborate with cross-functional teams to identify opportunities for AI solutions and drive innovation. Provide thought leadership and guidance to clients on the benefits and limitations of generative AI solutions. Design and develop end-to-end solutions that align with business processes and technology roadmaps. Provide mentorship and guidance to others. Formulate innovative ideas and solutions on products, processes, and systems. Solve complex or unusual problems in consideration of the potential impacts. Negotiate the needs of multiple users or business partners. Balance between IT standards and strategies and business needs to guide well-informed decisions. Required Qualifications 8-10 years of experience in AI development and architecture, with a focus on generative AI solutions. Strong understanding of machine learning algorithms and deep learning frameworks. Experience with cloud computing platforms and big data technologies. Bachelors in engineering, preferably from Tier-I institute. Excellent communication and leadership skills, with the ability to manage and motivate a team. Comprehensive knowledge of fundamentals and operating principles of architecture. In-depth understanding of the company's products, services, and business processes. Ability to manage business partner expectations at a senior level. Experience in managing vendors necessary to complete a project. Excellent problem-solving and negotiation skills. Advanced knowledge of AI development and architecture, with a focus on generative AI solutions. Masters or PhD in Computer Science, Engineering, or a related field. Expertise in current and future technology architecture, including the interoperability of technologies. Specialized software knowledge in AI development and architecture. Experience in leading and managing large-scale AI projects. Experience in developing and implementing AI solutions in a variety of industries.

No of Positions: 2 As a Generative AI Engineer, you will be responsible for developing and implementing applications using large language models (LLMs). Your expertise in Python and Lang Chain will be essential in creating scalable, efficient, and innovative AI solutions. You will work closely with cross-functional teams to design, develop, and deploy state-of-the-art AI systems. Responsibilities Develop and implement AI applications using large language models (LLMs) with Python and LangChain. Design, build, and optimize machine learning algorithms for generative AI applications. Collaborate with data scientists, software engineers, and product managers to create robust AI-driven applications. Conduct research to stay updated with the latest advancements in generative AI and LLMs. Analyze and preprocess large datasets to ensure high-quality input for model training. Evaluate and fine-tune models to achieve optimal performance and accuracy. Write clean, maintainable, and efficient code adhering to best practices. Participate in code reviews and provide constructive feedback to team members. Document technical specifications, processes, and model performance metrics. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and developing AI models. Strong expertise in LangChain and its applications in generative AI. Solid understanding of large language models (LLMs) and their implementation. Experience with deep learning frameworks such as TensorFlow or Pytorch. Familiarity with natural language processing (NLP) techniques and tools. Ability to work with large datasets and perform data preprocessing and analysis.

Build price elasticity models, price conjoint and perceived value study to provide insights Develop advanced analytics solutions using ML and statistics to inform pricing & pack architecture decisions Contributing to the long-term pricing strategy

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit