1228 Aiml Jobs - Page 38

Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to : Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 3+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniquesregression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike Regards, Manikandaprabhu J linkedin.com/in/manikandaprabhu-j-8ab5b115b

Role & responsibilities Deliver engaging and hands-on training sessions for students/professionals. Design and update course materials, lesson plans, and assessments. Provide real-world examples and case studies to enhance learning. Guide participants through practical exercises, coding challenges, and projects. Evaluate student performance and provide constructive feedback. Stay updated with the latest industry trends and incorporate them into training. Conduct guest lectures, boot camps, or hackathons as required. Preferred candidate profile Strong expertise in AIML with hands-on experience. Prior experience in corporate or academic training is preferred. Excellent presentation, communication, and mentoring skills. Familiarity with online coding platforms like LeetCode, CodeChef, HackerEarth. Knowledge of industry best practices and real-world applications. Bachelors/Masters degree in relevant field or equivalent professional experience. Certifications in relevant technologies are a plus. Interested candidates can share their profile at neha.agarwal@xebia.com.

The Job: We are Seeking to identify a Data Scientist AI ML responsible to work on the company's maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians. Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures Maintain and enhance existing model deployments to make sure they stay valuable and relevant Mentor junior members of the team and stay up to date with ML advances Your Profile: An ideal candidate will hold a bachelor's degree in a quantitative field in quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields with at least 4+ years of experience in Data Science/Machine Learning/advanced analytics/optimization. Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring Strong Knowledge of database querying and being able to write complex queries to extract data Fluent skill in python/pyspark Strong knowledge of Statistical Modelling, feature engineering, testing Ability to propose novel modelling approaches based on the problem being solved Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position

AI Engineer About the Role We are looking for an AI Engineer with the ability to transform proven AI and GenAI concepts and prototypes developed by data scientists into scalable, and production-grade AI applications. This position sits at the critical intersection of software development and data science, requiring both technical depth in AI/ML technologies and strong software engineering fundamentals. Key Responsibilities Transform data science prototypes and concepts into production-ready applications with a focus on scalability, stability, and performance Design and implement robust AI systems leveraging modern LLM technologies, including API integrations, Retrieval Augmented Generation (RAG), and embedding models Develop and maintain backend services and APIs that support AI functionality Implement efficient data pipelines and storage solutions for AI applications Implement comprehensive testing and monitoring for AI systems Required Qualifications Bachelor's degree in computer science, Software Engineering, or related technical field 3+ years of experience in software development with a focus on backend systems Strong proficiency in Python and its ecosystem for AI/ML development Experience with LLM technologies, including API integrations (OpenAI, Anthropic, etc.) Knowledge of RAG architectures, vector databases, and embedding models Clear understanding of software design patterns and principles Experience with Docker Understanding of CI/CD pipelines and DevOps practices Preferred Qualifications Masters degree in computer science, AI, or related field Experience with cloud platforms (AWS, Azure or GCP) Knowledge of AI agent frameworks and orchestration Experience with function calling, tool integration, and AI system planning Experience with monitoring and observability tools for AI systems Contributions to open-source AI/ML projects Experience with model optimization and deployment strategies Skills & Competencies Strong problem-solving abilities and analytical thinking Excellent communication skills to collaborate with both technical and non-technical stakeholders Ability to balance technical debt and delivery timelines Attention to detail, particularly regarding system reliability and security Passion for staying current with rapidly evolving AI technologies Top three skills looking in profiles: Proficiency in Python for AI/ML Development Strong command of Python and its ecosystem is essential for building and scaling AI applications. Experience with LLM Technologies and Architectures Includes API integrations (e.g., OpenAI, Anthropic), Retrieval Augmented Generation (RAG), vector databases, and embedding models. Backend Development and API Engineering Ability to develop and maintain backend services and APIs that support AI functionality. Role & responsibilities Preferred candidate profile

AI/ML-focused Software Developer with 3+ YOE in SDLC and 1+ year in conversational AI (speech-to-text, emotion recognition, agentic systems). Skilled in fine-tuning LLMs/SLMs, RAG, quantization, and distillation for production use. R & D Required Candidate profile Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs. Background in agent-based modeling, RL, GenAI. Holds CS/AI degrees with contributions via publications or open-source work.

5+ yrs Overall Exp,2+ yrs GenAI. Strong Python, NumPy, Pandas, scikit-learn. ML expertise with TensorFlow/PyTorch. NLP/LLMs using NLTK, spaCy, Hugging Face. AWS/Azure/GCP (EC2, S3, Lambda). Problem-solving, analytical thinking, collaboration. Health insurance Provident fund

We are looking for a versatile and independent AI Developer who excels in combining traditional coding with no-code/low-code tools to build intelligent automation workflows and AI-driven systems. This is a high-impact role for someone who enjoys solving complex business challenges through smart integrations, conversational AI, and scalable automation. Key Responsibilities: Architect and implement end-to-end AI-powered automation systems , combining code and no-code workflows. Build and maintain custom integrations with external APIs, automation tools, CRMs, and AI services (OpenAI, TTS/STT engines, etc.). Develop backend logic using Python, Node.js , or similar technologies to support AI workflows and data handling. Create and optimize data pipelines , scraping bots, and voice/text-based AI interfaces. Utilize tools like Make.com, Apify, Airtable, Zapier, Glide , or similar platforms to accelerate delivery. Collaborate with non-technical stakeholders and independently manage development cycles , from requirement gathering to deployment. Ensure performance, scalability, and maintainability of systems across various business use cases. Required Skills: Strong proficiency in Python, JavaScript/Node.js , or relevant backend languages. Deep familiarity with AI/ML concepts , especially around LLMs, natural language processing, and prompt engineering. Hands-on experience with no-code platforms like Make.com, Airtable, Apify, Glide, Zapier , etc. Expertise in integrating third-party APIs , including communication APIs (e.g., Twilio, WhatsApp). Understanding of voice and chat-based AI workflows using tools like OpenAI, Whisper, and ElevenLabs. Ability to handle projects independently with minimal supervision. Nice-to-Have: Experience with CRM integration , sales or outreach automation tools. Knowledge of data scraping, RPA , or chatbot frameworks. Familiarity with serverless deployment , Firebase, or cloud-based automation. Background in B2B tools , SaaS environments, or enterprise automation is a plus. Ideal Candidate Traits: Entrepreneurial mindset with a passion for automation and AI. Self-starter who thrives in fast-paced, outcome-driven environments. Excellent communication and collaboration skills. Strong sense of accountability, quality, and initiative. What We Offer: Opportunity to lead critical automation projects from day one. Freedom to explore creative solutions using the best of code and no-code tools. A growth-oriented environment with long-term potential.

Required- Senior Manager Technology | Solution Architect Generative AI Location- Gurgaon and Bangalore Available to join immediately - 30 days ONLY. Bringing 12-18 years of progressive technology experience, including 5+ years architecting AI/ML and Generative AI solutions. Holds a Bachelor's degree in Computer Science or related field; Master's/PG in AI/ML preferred. Proven track record in leading the full lifecycle of enterprise-grade Generative AI solution development across Azure and Google Cloud. Strong full-stack architectural expertise in React, Node.js, and .NET, with a focus on scalable data platforms, secure DevSecOps practices, and delivering exceptional business outcomes. For more details, please share your CV via email [ admin@spearheadps.com] or contact me on WhatsApp/call at [9899080360].

Job Title: AI Engineer – GenAI & Azure (Python + ML) Location: Bangalore Hybrid Experience: 7+ years to 15 Years Employment Type: Full-Time Design, develop, and deploy AI/ML solutions with a focus on Generative AI applications. Required Candidate profile Build and optimize scalable data pipelines and AI services using Python and Azure cloud components. Integrate and operationalize AI models using Azure Functions, Azure Event Grid, and Azure Search.

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 : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5+ year(s) of experience is required Educational Qualification : BE Summary: As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing cloud or on-prem application pipelines, and ensuring production-ready quality. You will also work with deep learning, neural networks, chatbots, and image processing. Key Responsibilities : A: Demonstrate various Google specific Designs using effective POCs, as per client requirements. B: Identifying applicability of Google Cloud AI services to use cases with ability to project both the business and tech benefits. C: Design, build and productionizes ML models to solve business challenges using Google Cloud technologies D: Lead and guide team of data scientists E: Coordinating and collaborating with cross-functional teams Technical Experience : A: Min 3 + years of experience on GCP AWS ML B: Exposure to Google Gen AI Services C: Exposure to GCP and its Compute, Storage, Data, Network, Security services D: Expert programming skills in any one of Java, Python, Spark E: Knowledge of GKE, Kubeflow on GCP would be good to have G: Experience in Vertex AI for building and managing the ML models H: Experience in implementing MLOps Additional Information: - The candidate should have a minimum of 5 +years of experience in Google Cloud Machine Learning Services.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology. 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. - Collaborate with the team to understand application requirements. - Design and develop applications based on business process requirements. - Configure applications to ensure optimal performance and functionality. - Test and debug code to identify and resolve any issues. - Collaborate with cross-functional teams to integrate applications with other systems. - Provide technical support and troubleshooting for applications. - Stay updated with the latest industry trends and technologies. - Assist in documenting application design, development, and maintenance processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity - Creation and validation of test data,and predictive modelling like ANN, Gradient Boosting, and K-NN - Knowledge of Predictive analytics and algorithims Additional Information: - A 15 years full-time education is required.

We are seeking a versatile and passionate Full Stack Developer to contribute across our entire application stack. You will be responsible for both front-end user interfaces and back-end services, ensuring seamless integration, optimal performance, and an exceptional user experience. This role requires a strong understanding of modern web technologies and the ability to adapt to diverse technical challenges. Required Skills 3+ years of experience developing full-stack web applications. Frontend Expertise: Proficiency in React.js for building interactive and responsive user interfaces. Strong command of TypeScript and JavaScript, HTML5, and CSS3. Backend Expertise: Solid experience with Python, particularly FastAPI, and Django (including Django REST Framework - DRF). Practical experience with MySQL and other relational databases. Experience with Kafka for building event-driven systems. Experience deploying and managing applications on cloud services. Demonstrated ability to design and implement RESTful APIs and work with GraphQL. Proficiency in version control systems (e.g., Git). Proven track record in coding, testing, and process adherence. Exceptional problem-solving capabilities and analytical skills, with a keen eye for both front-end usability and back-end scalability. Excellent verbal and written communication skills in English for effective cross-functional collaboration. Preferred Qualifications: Familiarity with WebSockets for real-time features. Understanding of containerization technologies like Docker and orchestration with Kubernetes. Exposure to Generative AI libraries and other AI/ML Python libraries for integrating intelligent features across the stack. Experience with NoSQL databases like ArangoDB or vector databases. Knowledge of Redis for caching. Familiarity with Snowflake or Spark for data processing and analysis. Experience with Meltano for data integration pipelines. Exposure to HAProxy for load balancing. Proficiency in other programming languages in our stack (e.g., PHP). Personal Attributes : Self-motivated and proactive with a detail-oriented approach to software development as an Individual contributor. Strong interpersonal skills and the ability to engage effectively with various stakeholders.

Education Qualification : Bachelors or master's degree in engineering (preferably computer science) (B.E., B.Tech, MCA) Experience: 610 years of experience designing AI/ML solutions for real[1]world applications . Expertise in designing AI/machine learning models for production environments , frameworks across CV, NN, LLMs, Robotics. 2. Strong understanding of AI algorithms and optimization techniques 3. Model Development: Experience training and fine-tuning ML/DL models using frameworks like TensorFlow or PyTorch. 4. Programming Skills: Proficiency in Python; familiarity with C++/CUDA is a plus for performance optimization. 5. MLOps Expertise: Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes), and model versioning tools. 6. Data Handling: Skilled at working with large datasets using databases like SQL or NoSQL systems. Data wrangling: Experience working with large datasets, databases and storage formats/compression techniques

5+yrs experience Proficiency in ML frameworks (e.g., TensorFlow, Py Torch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks.

Experience: Experience with Selenium (Java testing) / Playwright (UI Testing) Experience with Cucumber & Rest Assured / SOAP Basic experience in CI/CD tools & AI/ML Preferred Notice Period - 0 - 45 Days Roles and Responsibilities Participate in Agile development cycles by providing timely feedback on testing progress and identifying areas for improvement. Develop and maintain automation frameworks using Selenium WebDriver, Playwright Automation, Rest Assured, SOAP UI, and other tools. Collaborate with cross-functional teams to identify requirements and create test plans that meet business needs. Design, develop, and execute automated tests using Cucumber BDD framework to ensure high-quality software releases.

Greetings from Sight Spectrum Technologies!!! We would like to ensure that you are interested in this position. Experience : 9+Years Location: Gurugram Should have worked on microservices based architecture end to end Should be able to implement those services which was designed by AIML Engineers. Being a senior in team should have worked in all the libraries. Please fill the below details for reference. Total Experience: Relevant Experience: Current CTC: Expected CTC: Python developer: microservices: Notice Period (LWD): Current Location: Preferred Location: Payroll Company: Reason for change: Client Company: Offer Details: PF(Yes/No): UAN No: Linkdln Id: If interested kindly share your resume to roopavahini@sightspectrum.in

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

Lets do this. Let’s change the world. In this vital role We are looking for a creative and technically skilled Senior Software Engineer/AI Engineer – Search to help design and build cutting-edge AI-powered search solutions for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets. Your work will empower researchers, clinicians, and decision-makers with faster, smarter access to the right information. . Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&A systems Support integration of LLMs (e.g., GPT, BERT, Bio BERT) for semantic and generative search Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search. Build and deploy vector-based search systems using embeddings and vector databases Work closely with platform engineers to integrate AI models into scalable cloud-based infrastructures (AWS, Azure, GCP) Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines. Preprocess and structure unstructured content such as clinical trial reports, research articles, and regulatory documents Apply knowledge graphs, taxonomies, and ontologies (e.g., MeSH, UMLS, SNOMED) to enhance search results Build and deploy recommendation systems models, utilize AIML infrastructure, and contribute to model optimization and data processing Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience 2–4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Proficient in programming language AI/ML, Python, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in AI/ML, Java, Python Experienced with Fast Pythons API, GraphQL Experience with design patterns, data structures, data modelling, data algorithms Experienced with AWS /Azure Platform, building and deploying the code Experience in Postgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Knowledge of LLMs, generative AI, and their use in enterprise search Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Exposure to MLOps tools like MLflow, Airflow, or SageMaker Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Role & responsibilities

Dear Candidate, We have an urgent opening with one of Multinational Company for Below Locations. Interested candidate can share the resume on Deepaksharma@thehrsolutions.in OR WhatsApp on 8882505093 Experience : 9+ Years Profile : ML Engineer (Advanced AI/ML + Python) Locations : Hyderabad, Bangalore, Mumbai, Kolkata Notice period : Only immediate joiners OR Already serving. Job Description - ML Engineer (Advanced AI/ML + Python) This role leverages machine learning & advanced AI services to generate business insights 8+ Years of relevant experience in Machine learning & Deep learning (GenAI-optional) experience Experience in deploying NLP, CV & Deep learning algorithms Experience in leading teams and managing the end-to-end deliverables. Exposure to MLOps implementations Leadership abilities to guide and mentor junior team members. Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment Advanced degree in Data Science, Statistics, Computer Science, or a related field. Proficiency in Python, Git, Github,Pyspark, Pytorch, , SQL and strong expertise of AI/ML algorithms is essential with knowledge of AWS cloud ML services. Strong analytical skills & communication skills. Ability to interpret complex data sets. Responsibilities- Lead the development and implementation of predictive models and machine learning algorithms. Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment Collaborate with CMA CGM cross-functional teams to understand business needs and devise possible solutions. Present and visualize data insights to stakeholders in a comprehensible manner.

Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

Our client is Leading IT Services and Consulting organization Location: Bangalore/ Hyderabad/Chennai AI/ML Engineer Mandatory Skills: Python, Machine, AI/ML Notice period: Immediate 30 Days

Experience in AI/ ML, Microsoft Power Platform, Python, SQL, Implementation and Architecture designing. Email id- ta6@nippondata.com

Technical Architect Experience - 10+ years Location: Hyderabad (WFO) Notice period: Preferred candidates who can join early less than 30 days Organization: Intellect Design Arena - Product Organization ------------------------------------------------------------------------------------------------------------------------------------------------------------ Skills & Qualifications Must-Have: 10+ years in software engineering, with 3+ years as an Architect in product companies. Expertise in cloud platforms (AWS Certified Solutions Architect preferred). Proficiency in modern stacks (Kubernetes, serverless, Kafka, GraphQL). Strong customer-facing skills (demos, workshops, whiteboarding). Nice-to-Have: Experience with AI/ML pipelines (TensorFlow, LangChain, MLOps). Knowledge of security/compliance (SOC2, GDPR). Soft Skills: "Demo mindset" Ability to simplify tech for non-technical audiences. Influencer Convince customers and internal teams on architectural decisions. Key Responsibilities 1. Solution Design & Architecture Own architecture sign-off for product features, ensuring scalability, security, and cost efficiency. Translate customer requirements into technical blueprints (POCs, diagrams, RFPs). Define tech stack evolution (e.g., microservices, event-driven architectures). 2. Customer Engagement Lead technical discussions/demos to showcase product capabilities and address concerns. Collaborate with sales/pre-sales to craft winning proposals . 3. Innovation & Modernization Drive cloud-native adoption (AWS/Azure/GCP) and AI/ML integrations (e.g., LLMs, predictive analytics). Champion tech debt reduction (legacy modernization, containerization). 4. Cross-Functional Leadership Align engineering, product, and DevOps teams on technical roadmap priorities . Mentor engineers on best practices Interested candidates can reach out to bicky.nath@intellectdesign.com

AI Developer Req number: R5051 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re seeking a problem-solving AI Developer with 3–5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning. You’ll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges. This is a Full-time and Hybrid position. Job Description What You’ll Do Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions. Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization). Collaborate on open-source projects and research initiatives. Optimize model performance for latency, accuracy, and scalability. What You'll Need 3–5 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch. Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems. Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving. Preferred Experience with diffusion models or reinforcement learning. Publications in top AI conferences (NeurIPS, ICML, CVPR). Familiarity with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, FAISS). Knowledge of cloud platforms (AWS/GCP/Azure). Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Role & responsibilities Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions. Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration. Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance. Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance. Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives. Preferred candidate profile Bachelors degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects. Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools. Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing. Experience with Microsoft Azure cloud services and their AI/ML offerings Experience with event-handling systems such as Kafka Experience with big data technologies and data engineering practices. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.