1228 Aiml Jobs - Page 39

Skills : Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data pipeline development Understanding of AI/ML algorithms and their applications MLOps frameworks Knowledge of cloud platforms (Azure ML especially) Model deployment process Data pipeline monitoring Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account, Postgresql, Cosmos Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Knowledge of cloud platforms (AWS SageMaker, Google AI Platform) Expertise in data preprocessing, feature engineering, and model evaluation Understanding of software engineering principles (version control, CI/CD, containerization) Familiarity with distributed computing and big data tools (Spark, Hadoop) Ability to optimize models for performance and scalability Experience with Azure AI Search Desired skills* Azure DevOps; MLOps frameworks; Postgresql; Cosmos

Experience Required 2 to 4 years of experience in AI/ML model development, deployment, and optimization. Hands-on experience in building machine learning pipelines and working with large datasets Domain Experience (Functional) Experience in domains such as natural language processing (NLP), computer vision, predictive analytics, or recommendation systems. Exposure to industry-specific AI applications (e.g., healthcare, finance, retail, manufacturing) is a plus. Qualification Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field Roles & Responsibilities Design, develop, and deploy machine learning and deep learning models. Collaborate with data engineers and domain experts to collect, clean, and preprocess data. Conduct experiments, evaluate model performance, and iterate for improvement. Integrate AI models into production systems and monitor their performance. Stay updated with the latest research and advancements in AI/ML. Document model development processes and contribute to knowledge sharing. Technical Skills Proficient in Python and core ML libraries: TensorFlow, PyTorch, Scikit-learn. Strong with Pandas, NumPy for data handling. Solid grasp of ML algorithms, statistics, and model evaluation. Familiar with cloud platforms (AWS/Azure/GCP). Experience with Git and basic CI/CD for model deployment

Job Summary Should have worked hands-on in setting up ML services on public cloud and delivering ML based solutions. Should have 7 to 10 years of experience in AI ML and at least 1 year in GenAI leveraging cloud based GenAI services. Should have through knowledge of end-to-end deployment of GenAI solutions to customers cutting across the industry prevalence of GenAI. Responsibilities Key Responsibilities Research and Development Stay updated on generative AI advancements and methodologies conducting research to explore new techniques and experimenting with cutting-edge frameworks and libraries. Architecture Design Design tailored generative AI systems for specific applications developing scalable architectures leveraging cloud infrastructure and balancing model complexity with practical deployment considerations. Model Development and Training Develop custom generative models using deep learning frameworks training models on large-scale datasets with advanced optimization techniques and fine-tuning parameters to optimize performance metrics. Performance Evaluation and Optimization Evaluate model performance using quantitative and qualitative metrics identifying areas for improvement and optimizing model architectures to ensure efficiency and effectiveness of generative AI solutions. Integration and Deployment Integrate generative AI models into existing systems and applications developing APIs and interfaces for seamless interaction with other components and ensuring compatibility scalability and reliability in production environments. Collaboration and Communication Collaborate with cross-functional teams to understand requirements effectively communicate technical concepts to stakeholders and provide guidance and mentorship to junior team members. Technical Expertise Should have worked hands on in setting up ML services on public cloud and delivering ML based solutions. Should have 3 to 5 years of experience in AI ML and at least 1 year in GenAI leveraging cloud based GenAI services. Should have through knowledge of end-to-end deployment of GenAI solutions to customers cutting across the industry prevalence of GenAI. Should have handson experience in prompt engineering maintaining prompt libraries managing GenAI delivered code filtering avoiding duplicates etc. Should have created large scale PoVs or PoCs and presented to senior client teams. Should be able to define GenAI adoption roadmap for client industries based on their Enterprise needs. #LI-LK1

Automotive, Business Relationship Management, Collaborative Leadership, Communication, Computer Vision, AI, Machine Learning, Team Leadership, Technological Innovation, Proposal

experience in Designing and architecting solutions with artifacts and technical documents using LLM, Generative AI, RAG, and Agentic AI applications Strong understanding of LLM, Generative AI, RAG, and Agentic AI app. Exp working with large datasets Required Candidate profile Working with data scientists, engineers, and other stakeholders to understand and implement ml algorithms such as regression, classification, and clustering. Leading teams on the latest AI tools .

Dear Candidate, We are actively hiring for GEN AI position open for PAN India location. Role Summary We are seeking a seasoned Generative AI Technology Architect to lead the design and implementation of enterprise grade Gen AI solutions This role demands deep technical expertise in AIML a strong architectural mindset and the ability to translate business needs into scalable secure and responsible AI systems You will serve as a thought leader mentor and strategic advisor across AI initiatives Key Responsibilities Architect end-to-end Gen AI solutions including LLM based applications RAG pipelines and multimodal systems Define and enforce architectural standards design patterns and best practices for Gen AI systems Lead the evaluation and selection of Gen AI platforms frameworks and infrastructure eg vector DBs orchestration layers model hubs Collaborate with data scientists MLOps engineers and business stakeholders to align AI capabilities with enterprise goals Drive PoCs and pilots to validate Gen AI use cases and scale successful patterns into production Ensure compliance with data privacy security and responsible AI principles Contribute to internal knowledge assets such as reference architectures whitepapers and reusable components Required Skills Proven experience in designing and deploying AIML systems at scale including Gen AI applications Deep understanding of LLMs prompt engineering finetuning and RAG workflows Proficiency in Python and frameworks like PyTorch TensorFlow Hugging Face LangChain or LlamaIndex Strong grasp of cloudnative architectures AWS Azure GCP and containerization Docker Kubernetes Experience with MLOps tools MLflow SageMaker Vertex AI etc and CICD for AI pipelines Familiarity with vector databases eg FAISS Pinecone Weaviate and embedding strategies Should have understanding of LLM models like Vision MultiModal etc Strong Experience in Python programming and related frameworks eg Django Flask Extensive experience in building scalable and robust applications using Python Handson Experience to all SDLC Phases Knowledge of cloud platforms eg AWS Azure GCP and their AIML services Experience with database systems eg SQL NoSQL and data modeling Strong problem-solving and analytical skills with the ability to translate business requirements into technical solutions Excellent leadership and team management skills with the ability to motivate and develop a high performing team Strong communication and collaboration skills with the ability to work effectively in cross functional teams Self-motivated and proactive with a passion for learning and staying up to date with emerging technologies and industry trends Preferred Qualifications Bachelors or Masters in Computer Science AI or related field Experience integrating Gen AI into enterprise platforms eg ERP CRM HRMS Exposure to multimodal AI text image audio and agentbased architectures Strong communication and stakeholder management skills Contributions to opensource AI projects or published research If interested, kindly share your resume with below details to Richa.Rane@alphacom.in Full Name: Pan Card No: DOB: Total Experience: Relevant Experience: Current/Last Company: Current CTC: Expected CTC: Notice Period: Current Location: Preferred Location: Reason for job change: Share your passport size photo: Thanks & Regards, Richa Rane Talent Acquisition Richa.Rane@alphacom.in

We are looking for an experienced AI ML Developers experience in data science specializing in machine learning python statistical modelling and big data technologies pyspark sql. The ideal candidate will have a strong background in developing and deploying machine learning models optimizing ML pipelines and handling largescale structured and unstructured data to drive business impact. Deep understanding of supervised and unsupervised learning including regression classification Multiclass classification clustering and NLP Proficiency in statistical analysis AB testing and causal inference techniques Experience with model deployment and MLOps in cloud environments AWS GCP Key Responsibilities Develop and deploy machine learning models and predictive analytics solutions for business impact Work with largescale structured and unstructured data to extract insights and build scalable models Design implement and optimize ML pipelines for realtime and batch processing Collaborate with engineering product and business stakeholders to translate business problems into data science solutions Apply statistical modeling AB testing and causal inference techniques to evaluate business performance Apply machine learning and statistical techniques for audience segmentation helping to identify patterns and optimise business strategies Drive research and innovation by staying updated with cuttingedge MLAI advancements and incorporating them into our solutions Optimize data science models for performance scalability and interpretability in production environments Mentor junior data scientists and contribute to best practices in data science and engineering

Position : Edge AI developer Skill Set Experience of at least 2.5 years in development of Video based analytics at Camera level such as perimeter based alert, person detection, movement detection etc Experience on Linux, C and Python Preferred if worked on Tiny Model Work experience on Realtek or Raspberry pi boards for above activities

We are looking for an experienced AI ML Developers experience in data science specializing in machine learning python statistical modelling and big data technologies pyspark sql. The ideal candidate will have a strong background in developing and deploying machine learning models optimizing ML pipelines and handling largescale structured and unstructured data to drive business impact. Deep understanding of supervised and unsupervised learning including regression classification Multiclass classification clustering and NLP Proficiency in statistical analysis AB testing and causal inference techniques Experience with model deployment and MLOps in cloud environments AWS GCP Key Responsibilities Develop and deploy machine learning models and predictive analytics solutions for business impact Work with largescale structured and unstructured data to extract insights and build scalable models Design implement and optimize ML pipelines for realtime and batch processing Collaborate with engineering product and business stakeholders to translate business problems into data science solutions Apply statistical modeling AB testing and causal inference techniques to evaluate business performance Apply machine learning and statistical techniques for audience segmentation helping to identify patterns and optimise business strategies Drive research and innovation by staying updated with cuttingedge MLAI advancements and incorporating them into our solutions Optimize data science models for performance scalability and interpretability in production environments Mentor junior data scientists and contribute to best practices in data science and engineering

job requisition idJR1027508 Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

Overview Prodapt is looking for a Solution Designer / Business Analyst, who is a highly specialized professional who possesses in-depth knowledge and expertise in designing, implementing, managing, and troubleshooting networks. Need Solution designer, Business Analyst with telecom domain experience. Should have handson in Lead to Cash journey - Processes and Systems for Cellular Mobile service for Enterprise or End to End VPN service for Enterprise, Non-Terrestrial Network, Cloud PBX. Should have solid understanding on different Service Fulfilment journey metrics. Should have solid understanding of different OSS applications that support Lead to Cash journey. Should have conducted workshops to gather requirements from stakeholders, presenting different solution options to architects. Exposure to deriving insights using data, identify improvements in the journey/processes, propose solutions on the identified improvement areas and provide consulting service to the telecom service providers is desirable. Responsibilities *Following Network OSS applications knowledge is mandatory - Inventory management (Service inventory/Physical inventory), Provisioning & Activation Syetem, Element Management System, Network performance management (monitoring, collecting data, reporting), Order orchestration. Knowledge on Network Monitoring System, Test & Diagnostics application, Incident and Change management system is desirable. ServiceNow TNI module is mandatory (Telecom Network Inventory). Knowledge on Telecom Access/Backhaul network, different network topologies, different network nodes for 5G Mobile service or VPN services or Non-Terrestrial Network or Cloud PBX is mandatory. Knowledge on CRM/BPM systems is optional. Knowledge on Salesforce, ServiceNow is optional. Ability to use telecoms, IT and enterprise architecture best practice methodologies, processes, functions, and data maps. Technical specialist skills in software design and implementations, with experience of cloud and on-premises systems architecture gathering for creating OSS service and solution design; Accountable for ensuring project delivery of multi-domain OSS solutions. Ability to define and articulate complex architectures to non-technical stakeholders. Produce and support the production of High Level Designs, Low Level Designs, test plans, Deployment Guidelines and TTO`s. Work in cross-functional delivery teams including partners and vendors to support delivery throughout the delivery lifecycle and ensure solutions are delivered into production on time and meet the operational acceptance criteria. Work closely with Network Design, Systems Development, Testing team, E2E Solution Architects, Operations teams. Knowledge on APIs, Frameworx, Microservices, UML, TOSCA, NetConf/YANG, CI/CD, REST/Webservices, JSON, Postman, Agile Development is needed. Functional DomainsAdvanced knowledge in atleast one listed belowNetwork Service LCM, Network Orchestration/MANO, Telemetry/RCA 5G, AI/ML, OTT domain knowledge is a plus. Ensure the delivery of the solutions conforms to contractual outcomes and timescales. Support the Programme and Project Manager in project planning, risk and issue management and the budgeting process. Experience in working in Service Fulfilment related proposals. Performed the role of team lead (leading a team of atleast 4 members) is desirable. Ability to work with stakeholders to create and define problem statements and root cause analysis. Create and gather requirements from stakeholders, draw process diagrams, write user stories, ensuring documentation is complete, understandable, and unambiguous. Validation of the documentation with stakeholders. Capture and report back essential information from meetings. Familiar with Agile principles and in using JIRA or ServiceNow SPM tool knowledge. Use of collaboration and presentation tools like Mural. Minimum Educational LevelBachelor Degree. Min Experience (Years):8 Max Experience (Years):18

Role : ETL Developer Location : Chennai (Hybrid) Experience : 3-6yrs Job description : Must have skills : - 3 to 6 yrs of strong experience in Big Query and Shell Script. - Strong Skill Set in Sequel and exposure in any ETL Tools like Informatica, Dell Boomi - Candidate worked in Informatica and any reporting tool will be an added advantage. - Work experience in cloud platform especially in Google Cloud. - Strong background from the data warehousing and the data analytics. - Look for only immediate joiners Good to Have : - Experience in AI/ML - Experience in Programming language like Python - Work experience in cloud platform Requirements: - Bachelor's/Master's in Engineering, Computer Science or equivalent experience - Between 5 -8 years of experience in the IT industry, experience in Data warehousing and Data lake is preferred. - Minimum 3+ years of work experience in BIg Query with strong SQL programming skills and exposure in performance tuning techniques - Experience in any ETL tool and Reporting tool is must - Working experience on Unix shell scripting. - Experience with data warehousing concepts and architecture - Work experience in any scheduling tool - Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities. - Work experience in cloud platform Good to Have : - Experience in AI/ML - Experience in Programming language like Python - Work experience in cloud platform.

JD Optimization Specialist Job Summary: We are seeking an experienced Data Scientist with a strong background in optimization to join our team. The ideal candidate will have 12-17 years of experience in data science, machine learning, optimization techniques and Gen AI. This role involves leading complex data science and Gen AI projects ( with a focus in solving optimization problems), mentoring junior data scientists, and driving data-driven decision-making. Roles and Responsibilities: 12-17 years of overall experience in the design, implementation, or consulting within the data science and AI space. Oversee the design, development, and implementation of advanced optimization models to solve complex business problems, across domains ( manufacturing, hitech, retail , oil & gas, etc.) Apply optimization techniques such as linear programming, integer programming, mixed integer linear programming, nonlinear optimization, and heuristic and meta heuristic algorithms ( like Genetic Algorithms ) to solve business problems. Analyzing and understanding use cases to verify their fitment and to determine the best solution approach for data science and generative AI applications. Work closely with cross-functional teams including pre-sales, sales, hyper scalar platforms, to integrate the AI solutions and drive business outcomes Documenting comprehensive technical artifacts and establishing best practices for implementing and deploying AI models on various cloud platforms. Leading a team of leads and developers in building Proof of Concepts (POCs) for various customers. Provide guidance and mentorship to junior data scientists, and sharing knowledge in data science, optimization and AI technologies, fostering a culture of continuous learning and improvements Ensuring AI solutions adhere to quality and ethical standards while optimizing their performance in production for reliability and efficiency. Technical Skills Proficiency in optimization tools, libraries & products such as CPLEX, Gurobi, PuLP, Llamasoft, etc. Experience with building and implementing optimization techniques like linear programming, Mixed Integer Linear Programming, nonlinear optimization, Genetic Algorithms, and heuristic and meta – heuristic algorithms. Proficiency in programming languages like Python, R, and SQL. Expertise in data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn, SciPy Strong experience with machine learning frameworks like TensorFlow, Keras, and PyTorch Proficiency in using LLM, and LLM – based frameworks like RAG, agentic framework to develop AI solutions Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions. Deep experience in architecting, designing, and implementing solutions on-premises, in the cloud, and using hybrid models, and mastery of the latest AI frameworks. In-depth experience in fine-tuning and customizing pretrained LLMs and AI models, with good understanding of various patterns and practices in AI, data engineering, and large data processing. Proficiency with a variety of tools and platforms, including but not limited to Amazon SageMaker, Azure ML Studio, Azure Data Lake, Google BigQuery, Vertex AI, AWS S3, Databricks and Snowflake. Experience with relational and non-relational databases (e.g., MySQL, MongoDB). Relevant certifications in data science, optimization, operations research, Gen AI at the Architect/Lead level will be an advantage. Behavioral Skills: Excellent verbal and written communication skills to articulate complex data insights to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving abilities to tackle challenging data and optimization issues. Collaboration: Ability to work effectively in a collaborative environment and build strong relationships with cross-functional teams. Adaptability: Flexibility to adapt to changing business needs and technological advancements. Attention to Detail: High level of attention to detail and commitment to delivering high-quality work. Other Skills: Project Management: Experience in managing large-scale data science, optimization and Gen AI projects and ensuring timely delivery. Business Acumen: Understanding of business processes and the ability to align data science, optimization and AI initiatives with organizational goals.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Job Overview Work with Qualcomm's security architecture / IP and access control team on next generation SOC for smartphone, tablet, automotive and IOT product categories. is responsible for assisting product development teams throughout the company to apply secure HW design principles to individual blocks, computing cores, and at the SoC level. SW/HW co-design, HW development experience. Familiarity with debug architectures such as JTAG and ARM coresight are a plus Successful candidates will be able to engage with product teams independently with minimal supervision to detect and mitigate security vulnerabilities in hardware architecture and implementations, involve in access control issues at both SW and HW. Minimum Qualifications 5 to 7+ years of industry or academic experience in Security are required. Additionally,

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide. Key Responsibilities: Design, develop, and maintain high-quality software solutions using Python for running machine learning models on Qualcomm devices. Contribute to the development and optimization of AI models, using popular frameworks like Pytorch. Build tools and infrastructure for onboarding, debugging and analysis of AI models. Participate in code reviews and ensure adherence to best practices and coding standards. Debug accuracy and performance on devices, addressing any challenges that arise. Collaborate with cross-functional teams to define, design, and ship new features. Own end-to-end development and release of features and lead and mentor a sub-team of engineers. Minimum Qualifications: Bachelors degree in engineering, Computer science or a related field and 5+ years of professional experience in software engineering or related work experience OR Masters degree in engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience Solid understanding of fundamental computer science concepts, general programming principles and practices. 4+ years of hands-on professional experience in programming with Python (preferred) / Java / C++. Strong problem-solving skills and the ability to work independently and as part of a team. Basic knowledge of AI concepts and techniques Excellent communication skills and the ability to articulate complex technical concepts. Willingness to learn advanced concepts in AI and machine learning and keep updated with latest industry trends Preferred Qualifications: Experience with machine learning frameworks and tools such as PyTorch, ONNX. Familiarity with Large Language Models (LLMs) and Transformers Familiarity working with Linux systems and hardware devices Experience with mobile development frameworks and tools (e.g., Android SDK, Kotlin). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Role & responsibilities GenAI Azure AI ML

Project Role: Senior AI/ML Manager Work Experience: 8 to 14 Years Work location: Bengaluru/Kochi Must Have Skills: Machine Learning, NLP, Deep Learning, AI, Python, GenAI. Job Description Develop/leverage fit for purpose AIML models/algorithms/foundation models/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 10+ years of experience in engineering roles with team management experience 6-8 relevant years experience on NLP,GenAI/LLM, Machine Learning and Deep learning 6-8 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Extensive knowledge in leveraging GenAI/LLM for developing innovative solutions to complex business problems. Solid understanding of LLMs, including fine-tuning methodologies and deployment strategies. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Extend ML libraries and frameworks to apply in NLP tasks. Demonstrated experience in writing effective, scalable, and maintainable code Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Must have experience working with REST APIs, and frameworks like Flask API and Fast API. Experience with Django or Pyramid framework is a good to have Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Job Title: AI Engineer Consultant Key Responsibilities: We are seeking a highly skilled and experienced AI Engineer Consultant to join our Business Development (BD) team and provide Subject Matter Expertise (SME) in Artificial Intelligence. The ideal candidate will have at least 7 years of experience in AI development and deployment, along with the ability to bridge technical expertise and business requirements. This role requires an individual who can help shape business solutions by collaborating with cross-functional teams, understanding market needs, and translating them into scalable, technical AI solutions. Consulting Expertise: Provide AI/ML subject matter expertise to the BD team, helping to define and refine business requirements and solutions that align with client needs. Technical Leadership: Lead the development and implementation of AI models, algorithms, and frameworks, ensuring they meet business objectives and technical feasibility. Collaborative Solution Design: Work closely with both technical and non-technical stakeholders to translate business goals into actionable AI solutions. Help refine technical specifications based on client and internal feedback. Client Interaction: Act as a technical advisor during client discussions, helping explain complex AI concepts in a clear, accessible manner. Business Requirements Gathering: Collaborate with the BD team to gather and prioritize business requirements, turning them into scalable AI solutions that can be effectively marketed and deployed. Proposal Support: Provide support in crafting proposals, RFP responses, and project documentation that reflect a deep understanding of AI technologies and their business applications. Qualifications: Experience: At least 7 years of hands-on experience in AI, machine learning, and data science, with a strong portfolio of successful projects in these domains. Technical Skills: Expertise in AI/ML algorithms, programming languages (Python, R, Java, etc.), data analysis tools, and frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Business Acumen: Strong ability to translate complex technical information into clear business requirements and solutions. Experience in client-facing roles is a plus. Problem-Solving: Ability to quickly analyze problems and design practical, cost-effective AI solutions. Communication Skills: Excellent communication skills, both written and verbal. Experience explaining complex AI concepts to non-technical stakeholders and decision-makers. Consulting Experience: Previous experience working in a consulting or advisory role, especially in helping businesses adopt AI-driven solutions. Desirable Skills: Experience with AI applications in industries such as healthcare, finance, or retail. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and deployment of AI solutions in cloud environments. Advanced degree (MS, PhD) in AI, Machine Learning, Data Science, or related fields is a plus. This is an exciting opportunity for a results-driven professional. If you have a passion, we encourage you to apply. Apply Now: Drop your resume on 8308907577 or kmaran@sevenmentor.com . References are highly appreciated!

Please find the below job Description for Python Technical Lead with AI/ML and Cloud And revert with your details and a Passport size photo Please fill in the details below to proceed further. Role: Python Technical Lead with AI/ML with Cloud Experience : 8+ Years Work Location: Hyderabad, Pune, Bangalore Work : Initially 5-Days from Office Client: its for an MNC CTC Budget : 34 LPA Full Name (as per Aadhar Card): Email ID: Mobile Number: Alternate No: Alternative Mail ID: Graduation: Regular Course: Graduation Year: Total Experience: Relevant experience: Current Organization: Working as Permanent Employee: Payroll Company: Year of Experience in Python Development: Year of Experience as Technical Lead: Years Of Experience in AI/ML: Year of Experience in AWS : Year of Experience in Cloud : Notice period: Current location: Preferred location: Current CTC: Exp CTC: Pan Card Number : Date of Birth : Any Offer in Hand LWD: Any Offer in hand: Serving Notice Period: Ready to work from Office : Available time & Date for the Virtual Discussion : Can you join Immediately : Please confirm that you are ready to 5 Days work from the office from Day 1. Job Description : Job Location : Bangalore/ Hyderabad/ Pune EXP : 8+ Years Location : Bangalore/ Hyderabad/ Pune Notice period : Imm to 15 Days POSITION / TITLE: Python Technical Lead with AI/ML Location: Offshore Hyderabad/Pune/Bangalore Who are we looking for? We are seeking a highly motivated and skilled Python Technical Lead with minimum 8-10 years of experience to join our team and build innovative applications that leverage the power of artificial intelligence and machine learning. Who has expertise in Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks. You will be responsible for the entire development lifecycle, from designing and implementing back-end functionalities to integrating AI/ML models for intelligent solutions. Responsibilities: • Proven work experience as a Technical Lead or similar role • Experience in managing/working with projects/products across the lifecycle (Design to rollout) • Basic understanding of frontend development • Assessing the business requirements architecture and working with technical staff to implement/recommend solutions. • Experience and responsibility include defining, prototyping and recommending the technology solutions, detailing the implementation design and identifying interfaces with other products for integration. • Experience in customer & employee-facing business applications Technical Skills Must have: • Strong application development experience in Python • Knowledge of AI, NLP, ML, Chat bots will be added advantage. • Experience in WebServices using REST, SOAP • Knowledge on Linux / Unix flavors • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). • Knowledge of different authentication and authorization techniques OTHER SKILLS WE'D APPRECIATE • Understanding of Smart bots development and integration with NLP engines. • Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc., • Experience with relevant Cloud services like Amazon Bedrock, Sagemaker, Google Vertex.AI • Familiarity with AI/ML APIs and services (e.g., Google Cloud AI, Azure AI Services, AWS SageMaker). EDUCATION QUALIFICATION • Graduate in Engineering OR Masters in Computer Applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies • Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills : • Good Attitude and Quick learner. • Well-developed design, analytical & problem-solving skills • Strong oral and written communication skills • Excellent team player, able to work with virtual teams. • Self-motivated and capable of working independently with minimal management supervision. • Able to talk to client directly and report to client/onsite. Note: Kindly acknowledge the Mail and revert with updated resume Regards, Rejeesh S Mobile: +91- 9188336668 Mail: rejeesh.s@jobworld.jobs

Role & responsibilities As an AI Solution Architect, you will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. You will work closely with cross-functional teams to ensure the successful integration of AI technologies into our products and services. Preferred candidate profile Bachelors degree in computer science, Engineering, Data Science, or a related field or equivalent experience. Advanced degrees and certifications in AI, Machine Learning, or related areas are preferred. 7+ years of experience in Product, Artificial Intelligence (AI). Demonstrated experience in AI consulting, AI solution design, implementation, and deployment. Familiarity with AI industry trends and use cases. Experience in a client-facing role is necessary. 5+ years of experience. Understanding business processes related to Asset Management, Retail, Advisory, Retirement, Wealth, Insurance. Experience in product lifecycle processes, including product research, market research, competitive analysis, planning positioning, roadmap development, requirements definition, and product launches and go-to-market strategies. Experience in project management, with the ability to manage multiple projects simultaneously and deliver results within deadlines. Comprehensive knowledge of AI technologies, including machine learning algorithms, data analytics, natural language processing, and computer vision. Proficiency in programming languages such as Python, R, or Java. Strong analytical and problem-solving abilities to evaluate client requirements and develop effective AI strategies. Excellent written and verbal communication skills, with the ability to convey business needs to technical solutions and articulate to stakeholders. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST

Description: Job Description: We are looking for an experienced Python Developer with expertise in AI/ML to join our team. The ideal candidate should have strong Python development skills and hands-on experience with AI/ML frameworks, LangChain, Haystack, and LangGraph . Key Responsibilities: Develop and optimize AI/ML-driven applications using Python. Implement and enhance solutions leveraging LangChain, Haystack, and LangGraph . Collaborate with cross-functional teams to integrate AI/ML models into production systems. Design and develop scalable machine learning pipelines and APIs. Debug, optimize, and maintain AI-based applications. Requirements: 310 years of experience in Python development , with a focus on AI/ML. Strong expertise in LangChain, Haystack, and LangGraph . Experience in developing and deploying ML models in a production environment. Familiarity with NLP, deep learning, and vector databases is a plus. Excellent problem-solving skills and ability to work independently or in a team.

Job Title : Tech Architect Role & Responsibilities Research, develop, optimize and productize for artificial intelligence and machine learning applications. Skills & Competencies In-depth knowledge of machine learning, text extraction and image processing techniques & Natural Language Processing Experience in developing machine learning, text extraction and image processing algorithms, and optimizing the existing algorithms. Coding experience in Python. Experience in products like Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or similar tools. Experience working with Cloud Services AWS, Azure etc. Takes ownership of self-professional development The desired candidate should be a quick thinker and should have a track record of high performance product development. Additionally, the candidate should be innovative, dedicated and result oriented. Research experience is preferred. Strong background in Math specially in statistics , modelling and matrices Qualification Experience 10 years Education Master's Degree in Computer Science

Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage

Job Details: We are seeking a highly motivated and enthusiastic Junior Data Scientist with 2-3 years of experience to join our data science team. This role offers an exciting opportunity to contribute to both traditional Machine Learning projects for our commercial IoT platform and cutting-edge Generative AI initiatives. Experience 2-3 years of hands-on experience with machine learning Exposure to Generative AI concepts and techniques, such as Large Language Models (LLMs), RAG Architecture Experience in manufacturing and with an IoT platform is preferable Role and Responsibilities: Key Objectives Machine Learning (ML): Assist in the development and implementation of machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Help with Python development to integrate models with the overall application Monitor and evaluate model performance using appropriate metrics and techniques. Generative AI: Build Gen AI-based tools for various business use cases by fine-tuning and adapting pre-trained generative models Support the exploration and experimentation with Generative AI models Research & Learning: Stay up-to-date with the latest advancements and help with POCs Proactively research and propose new techniques and tools to improve our data science capabilities. Collaboration and Communication: Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to understand requirements and deliver impactful solutions. Communicate findings, model performance, and technical concepts to both technical and non-technical audiences. Technical Competencies Programming: Proficiency in Python, with experience in libraries like numpy, pandas, and matplotlib for data manipulation and visualization. ML Frameworks: Experience with TensorFlow, PyTorch, or scikit-learn. Cloud & Deployment: Basic understanding of cloud platforms such as Databricks, Google Cloud Platform (GCP), or Microsoft Azure for model deployment. Data Processing & Evaluation: Knowledge of data preprocessing, feature engineering, and evaluation metrics such as accuracy, F1-score, and RMSE.