1435 Deep Learning Jobs - Page 16

Job Title: Chief Technology Officer (CTO) Mission: Operationalize and scale the advanced AI capabilities developed by BIG's CAIO team across secure, resilient, and cost-efficient cloud platforms. Ensure every customer experience uses state-of-the-art language AI with high availability, enterprise-grade security, and rapid delivery cycles. Reporting Structure: Reports to the Chief Executive Officer (CEO). Works alongside the CAIO. Oversees approximately 70 employees across platform engineering, DevSecOps, SRE, and enterprise IT. Manages a 25 million USD annual budget. Strategic Pillars and Key Outcomes (First 12 Months): 1. AI Operationalization and MLOps: - Integrate CAIO Gen3 models into production services - Automate CI/CD and model rollback - Target less than 10-minute MTTR and fewer than 0.1 percent model-related incidents 2. Unified Language Platform: - Complete migration to Azure or GKE - Target five times throughput and 30 percent cost reduction 3. Telephony and Multilingual Customer Experience: - Finalize Genesys and Twilio rollout - Target less than 200 milliseconds round-trip time and 50 percent faster three-way connects 4. Security and Compliance: - Achieve zero priority one incidents - Renew HITRUST, SOC 2 Type II, ISO 27001, and PCI voice certifications 5. Financial and Vendor Management: - Reduce cloud cost per translated word by 25 percent - Renegotiate top five vendor contracts Core Responsibilities: - Design and maintain scalable, fault-tolerant infrastructure across Azure, AWS, GCP, and Kubernetes - Manage model registry, performance monitoring, and deployment pipelines - Ensure responsible AI standards are enforced - Promote API-first and event-driven development practices - Implement CI/CD, QA automation, and infrastructure as code - Lead security, access control, and disaster recovery practices - Manage technology budgets and vendor relationships - Hire and develop top engineering talent - Collaborate with CAIO, Product, and Customer Success teams - Represent company in client technical meetings and industry events Authority: - Final decision-making on architecture, security posture, and technology expenditures - Full hiring and termination authority for technical teams Qualifications: - Over 15 years in SaaS engineering leadership roles - Over 10 years in executive positions with P and L responsibility - Hands-on experience with Kubernetes, CI/CD, observability tools, and infrastructure automation - In-depth knowledge of compliance frameworks such as HITRUST, SOC 2, ISO 27001, and PCI DSS - Bachelor's in Computer Science or related field; MBA preferred Why This Role Matters: BIG's AI innovations must be delivered quickly, securely, and at scale. The CTO ensures every model developed by CAIO reaches production with reliability and operational excellence.

Responsibilities: * Provide technical support for AI/ML projects using Python, C++, Java & Full Stack. * Collaborate with cross-functional teams on project delivery. * Ensure code quality through testing and documentation.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

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

Machine Learning/Deep Learning Senior Data Scientist Job Summary: We are seeking an experienced Machine Learning/Deep Learning Senior Data Scientist to join our team and drive the development of cutting-edge AI solutions. As a Senior Data Scientist, you will be responsible for designing, developing, and deploying scalable and efficient machine learning and deep learning models to solve complex business problems. You will work closely with cross-functional teams to ensure the successful delivery of AI-powered projects. Key Responsibilities: 1. Design and Develop Machine Learning/Deep Learning Models: Design, develop, and deploy machine learning and deep learning models using various techniques such as supervised, unsupervised, and reinforcement learning. 2. Data Analysis and Interpretation: Analyze and interpret complex data to identify patterns, trends, and insights that inform business decisions. 3. Collaborate with Cross-Functional Teams: Work closely with data engineers, DevOps engineers, and QA engineers to ensure seamless integration of machine learning and deep learning models into larger systems. 4. Architecture and Design: Design and architect scalable and efficient machine learning and deep learning systems, ensuring scalability, efficiency, and maintainability. 5. Mentorship and Guidance: Mentor and guide junior data scientists, providing technical guidance and best practices for machine learning and deep learning development. 6. Staying Up-to-Date with Industry Trends: Keep up-to-date with the latest developments in machine learning, deep learning, and related technologies, applying this knowledge to drive innovation and improvement. 7. Evaluate and Implement Emerging Technologies: Evaluate and implement emerging technologies such as transformer-based models, graph neural networks, and other advanced techniques to stay ahead of the competition.

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.

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 35046 We know foods importance in peoples lives the power it has to bring people, families, and communities together. We aim to bring enjoyment to people s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd "

We are looking for a data scientist to join our existing team of data analysts/ scientists. You must be a storyteller and passionate about Machine Learning, Deep Learning, Computer Vision, NLP and big data technologies. You will also be responsible for end to end model deployment in Cloud. You must have proficiency in AWS Cloud Services. It is desirable to have some exposure to other cloud services like MS Azure or Google Cloud Platform. Development and enhancement of machine learning and statistical models. Required Experience, Skills and Qualifications: Minimum 2 years of Data Science experience is mandatory. Proficiency in working with Python, R, SQL. Experience with both Machine Learning and Deep Learning algorithms. must have some experience working with Scikit Learn, TensorFlow, Keras, OpenCV and NLTK libraries in Python. Liaise with members of the team. Must be flexible to work on different projects across a range of industries such as retail, banking, insurance and travel. Strong mathematical and statistical skills and understanding, not only how but why. Proven ability to lead a project from inception to end deployment stage. Perks and Benefits: Salary will be discussed according to the current CTC.

Develop intelligent AI agents using LLaMA-based models with agentic behavior (memory, planning, reflection, tool use). Architect and implement modular agentic frameworks using open-source libraries (e.g., LangChain, AutoGen, OpenAgents).

Dear Candidate, We are seeking a Data Scientist Manager to lead a team in building advanced analytics solutions and machine learning models to support business decisions and innovation. Key Responsibilities: Guide the development of predictive models, data mining, and statistical analysis. Manage data science projects from concept to production deployment. Collaborate with stakeholders to define data-driven objectives and KPIs. Mentor junior data scientists and promote best practices in ML and AI. Ensure data governance, quality, and model explainability standards. Required Skills & Qualifications: Strong background in machine learning, statistics, and data science methodologies. Proficient in Python, R, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud-based analytics platforms (e.g., SageMaker, Azure ML). Leadership and project management experience. Advanced degree in Data Science, Computer Science, or a related field. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

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.

Job Summary: We are seeking a highly skilled and passionate Data Scientist with 3-6 years of experience to join our dynamic team in Chennai. The ideal candidate will possess a strong background in machine learning and deep learning methodologies, coupled with expert-level proficiency in PySpark and SQL for large-scale data manipulation and analysis. You will be instrumental in transforming complex data into actionable insights, building predictive models, and deploying robust data-driven solutions that directly impact our business objectives. Key Responsibilities: Data Analysis & Feature Engineering: Perform extensive exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large, complex datasets. Develop and implement robust data preprocessing, cleaning, and feature engineering pipelines using PySpark and SQL to prepare data for model training. Work with structured and unstructured data, ensuring data quality and integrity. Model Development & Implementation (Machine Learning & Deep Learning): Design, develop, and implement advanced Machine Learning (ML) and Deep Learning (DL) models to solve complex business problems, such as prediction, classification, recommendation, and anomaly detection. Apply a wide range of ML algorithms (e.g., Regression, Classification, Clustering, Ensemble methods) and DL architectures (e.g., CNNs, RNNs, Transformers) as appropriate for the problem at hand. Optimize and fine-tune models for performance, accuracy, and scalability. Experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Big Data Processing: Leverage PySpark extensively for distributed data processing, ETL operations, and running machine learning algorithms on big data platforms (e.g., Hadoop, Databricks, Spark clusters). Write efficient and optimized SQL queries for data extraction, transformation, and loading from relational and non-relational databases. Deployment & MLOps: Collaborate with MLOps engineers and software development teams to integrate and deploy machine learning and deep learning models into production environments. Monitor model performance, identify degradation, and implement retraining strategies to ensure sustained accuracy and relevance. Contribute to building CI/CD pipelines for ML model deployment. Insights & Communication: Translate complex analytical findings and model results into clear, concise, and actionable insights for both technical and non-technical stakeholders. Create compelling data visualizations and reports to effectively communicate findings and recommendations. Act as a subject matter expert, guiding business teams on data-driven decision-making. Research & Innovation: Stay abreast of the latest advancements in data science, machine learning, deep learning, and big data technologies. Proactively identify opportunities to apply new techniques and tools to enhance existing solutions or develop new capabilities. Required Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. 3-6 years of hands-on experience as a Data Scientist or in a similar role. Expert proficiency in Python for data science, including libraries such as Pandas, NumPy, Scikit-learn. Strong expertise in PySpark for large-scale data processing and machine learning. Advanced SQL skills with the ability to write complex, optimized queries for data extraction and manipulation. Proven experience in applying Machine Learning algorithms to real-world problems. Solid understanding and hands-on experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch) and architectures. Experience with big data technologies like Hadoop or Spark ecosystem. Strong understanding of statistical concepts, hypothesis testing, and experimental design. Excellent problem-solving, analytical, and critical thinking skills. Ability to work independently and collaboratively in a fast-paced environment. Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

Zycus is seeking for talented Machine Learning Engineers to join our dynamic team. Candidates with strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. Role & responsibilities Develop and implement AI solutions leveraging expertise in Analytics and Data Mining across Web, Social, and Big Data platforms. Good understanding and implementation of Generative AI for content generation, creative applications, and problem-solving across various domains. Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products. Utilize Machine Learning techniques for pattern recognition and inference to enhance existing products and develop new strategic initiatives. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Collaborate with cross-functional teams to integrate Natural Language Processing and Computational Linguistics into product development processes. Apply Statistical Modeling and Econometrics to analyze data and derive actionable insights for quantitative marketing strategies and to make predictions based on historical data. Contribute to the design and optimization of Large Scale Distributed Systems and Cloud Computing infrastructure. Enhance user experience through Human-Computer Interaction principles and Information Visualization techniques. Preferred candidate profile Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. 6-11 years of experience Graduate/Post Graduate from Tier I institutes Strong background in Analytics, Data Mining, Machine Learning, and related disciplines. Experience with programming languages such as Python, R, Java, or C++. Experience in working with NLP, Computer Vision/Image Processing, Regression and Deep Learning algorithms. Proficiency in handling large datasets and implementing statistical models. Familiarity with Cloud Computing platforms and distributed systems architecture. Experience using Web Services like Redshift/S3/Spark/DigitalOcean, etc. Experience with Distributed Data and Computing tools. Experience in EDA (Exploratory Data Analysis.) Excellent Communication and Teamwork capabilities. Perks and benefits Five Reasons Why You Should Join Zycus: Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

Proven experience in designing, developing, and implementing machine learning models and algorithms. Strong proficiency in Python programming and its libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and NLTK. Solid understanding of data structures, algorithms, and statistical principles Hands-on experience in Natural Language Processing (NLP) is highly desirable. Experience in optimizing and fine-tuning machine learning models to improve performance. Proficiency in GIT/Bit Bucket for version control and collaboration. Ability to write SQL queries and scripts for data handling and manipulation. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills with the ability to work effectively in a team environment.

At least 6 - 8 years overall experience At least 4-5 years experience in Machine Learning / Deep Learning Extensive experience working on NLP Conversant with Python programming Good knowledge of and experience working on Generative AI Adept in Prompt Engineering Should have a good understanding of microservices architecture and Data Engineering Should be able to understand user needs and map with corresponding technologies Should be able to architect Generative AI based solutions Should be able to guide the team technically Should be able to highlight technical limitations and shortcomings well in advance and suggest alternative approaches / solutions Should have working experience on Azure Cognitive Services Experience working on client facing roles and direct client interactions Good communication skills Ai Ml, Nlp & Deep Learning, Data Science

Growexx is looking for smart and passionate Data Scientist/Analyst, who will empower Marketing, Product, Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyse hit/event level web, product, sales, and digital marketing data. Leverage LLMs (Large Language Models) and traditional machine learning to mine, process, and analyze web, product, sales, and digital marketing event-level data. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Build and deploy predictive models and ML algorithms across structured and unstructured customer profile, journey, and usage datasets. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketing channels. Design and implement model activation strategies, including A/B testing plans, benchmarking studies, and measurement of final business impact. Conduct comprehensive evaluation of LLMs, including performance benchmarking (accuracy, latency, token usage, cost), prompt effectiveness testing, fine-tuning impact analysis, and safety/bias assessments. Design, build, and deploy LLM-based agentic systems using frameworks such as LangChain, AutoGen, CrewAI, or custom orchestration for complex workflows (e.g., multi-agent collaboration, function-calling pipelines, dynamic task execution). Integrate LLM agents with APIs, internal knowledge bases, retrieval systems (RAG architectures), and external tools to enable autonomous or semi-autonomous decision-making. Partner with data engineering teams to enhance and maintain the Customer360 data model, including creating new feature engineering requirements, improving taxonomy, and identifying and resolving data quality issues. Collaborate with cross-functional teams (Enterprise Data Warehouse, Salesforce MOPS, IT, Product, Marketing) to continuously improve data integration and quality for advanced modeling use cases. Build a deep understanding of business models, objectives, challenges, and opportunities by working closely with leadership and key stakeholders. Document model methodologies, evaluation frameworks, agent workflows, deployment architectures, and post-activation performance results in a structured and reproducible format. Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and ML technologies to recommend and implement innovative solutions. Key Skills Experience using Python, SciKit, SQL, Snowflake, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficient in data mining, advanced statistical analysis, feature engineering, and mathematical modeling. Deep experience with machine learning techniques including supervised, unsupervised, reinforcement learning, causal inference, and predictive modeling. Skilled across the full ML lifecycle: data preparation, feature creation and selection, model training, hyperparameter tuning, evaluation, and deployment for inference/prediction. Extensive hands-on experience with cookie-level advertising and digital marketing data (Google Ads, Bing, Epsilon, LinkedIn, Facebook) for demand generation KPIs such as ROAS, CTRs, impressions, multi-touch attribution (MTA). Proven experience designing, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and generative AI applications. Experience designing and deploying agentic systems using frameworks such as LangChain, AutoGen, CrewAI, and custom function-calling pipelines. Expertise integrating LLM agents with APIs, knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Strong understanding of evaluation metrics for LLMs, including prompt testing, token optimization, bias/safety analysis, latency, and cost benchmarks. Deep familiarity with cookie-level web and product behavior data (usage metrics, conversion funnels, bounce rates, sessions, hits/events, journey optimization). Expertise in designing and executing A/B, multivariate, and lift tests to measure activated ML/LLM model performance across digital and offline channels. Skilled in gathering business requirements, translating them into ML use cases, and clearly communicating methodologies and results to both technical and non-technical stakeholders. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Preferred: practical experience in an engineering capacity building, testing, deploying, and optimizing ensemble ML and LLM solutions in production environments. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 5 + years as a Data Scientist or similar roles.

We are seeking a highly skilled AI Data Scientist to join our growing data science team. The ideal candidate will possess strong analytical capabilities, machine learning expertise, and practical experience deploying AI solutions. You will work on cutting-edge projects involving deep learning, NLP, and predictive analytics to solve complex business challenges.

Responsibilities: Conducting classroom and online lectures on programming languages (Data Science, Python, Data Analytics) and related technologies to students Assigning and evaluating coursework, quizzes, and projects Providing one-on-one assistance and mentoring to students as required Ensuring that the course curriculum is up-to-date and relevant to industry standards Collaborating with other trainers and course developers to develop new training materials Maintaining accurate student records and progress reports Creating a positive and engaging learning environment for students Participating in faculty meetings, staff development programs, and other professional development activities as required Staying up-to-date with the latest trends and developments and related technologies Requirements: A Bachelor's or Master's degree in Computer Science or a related field A minimum of 1 years of experience as a trainer Excellent communication and interpersonal skills Strong knowledge of Python, Machine Learning, Data Science, Data Analytics, Deep Learning, NLP and related technologies Experience working with databases such as PostgreSQL and MySQL A passion for teaching and helping students achieve their career goals Ability to work independently as well as in a team environment

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Looker Studio Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for Looker Admin role. As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery - Collaborate with multiple teams to make key decisions - Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in Looker Studio - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - 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 cleaning, transformation, and normalization to ensure data quality and integrity

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 : Natural Language Processing (NLP) 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 specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: - Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. - Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and optimize NLP algorithms and models to improve performance and accuracy. - Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques - Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: - Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning - Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM - Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits - Experience in implementing various NLP algorithms and models. - Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly - Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it - Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization - Have worked with RNN, LSTM etc. - Work exp in creating NLP pipelines for processing large amount of document corpus - Expertise with Python Additional Information: - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. -Be a self-starter and a fast learner - Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges - Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills

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 : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Large Language Models, deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: - Design and develop scalable and efficient AI-based applications and systems using Large Language Models, deep learning, neural networks, chatbots, and natural language processing. - Collaborate with cross-functional teams to identify and prioritize AI use cases, and develop solutions that meet business requirements. - Implement and maintain AI models and algorithms, and ensure their accuracy, reliability, and scalability. - Develop and maintain AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems. - Stay updated with the latest advancements in AI and machine learning, and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Experience with Large Language Models. - Strong understanding of deep learning, neural networks, chatbots, and natural language processing. - Experience with AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems. - Proficiency in programming languages such as Python, Java, or C++. - Experience with cloud platforms such as AWS, Azure, or GCP. - Experience with containerization technologies such as Docker and Kubernetes. Additional Information: - The ideal candidate will possess a strong educational background in computer science, artificial intelligence, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

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.

Role & responsibilities Preferred candidate profile 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 : Natural Language Processing (NLP) Good to have skills : NA Minimum 5+ year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. You will design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Your typical day will involve evaluating AI systems, identifying areas of improvement, and implementing strategies to enhance ethical and responsible practices. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Ensure 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. - Evaluate AI systems and identify areas of improvement. - Implement strategies to enhance ethical and responsible practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - 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 cleaning, transformation, and normalization to ensure data quality and integrity. Perks and benefits