146 Ml Ops Jobs - Page 4

Wipro Limited is a leading technology services and consulting company dedicated to providing innovative solutions for clients" complex digital transformation needs. With a holistic portfolio of consulting, design, engineering, and operations capabilities, Wipro helps clients achieve their boldest ambitions and develop future-ready, sustainable businesses. With a global presence of over 230,000 employees and business partners in 65 countries, Wipro is committed to helping customers, colleagues, and communities thrive in a constantly changing world. The role's primary purpose is to define, architect, and lead the delivery of machine learning and AI solutions. Key responsibilities include: 1. Demand Generation: - Support in solution development and go-to-market strategy - Collaborate with sales, pre-sales, and consulting teams to create solutions for proactive demand generation - Contribute to the development of solutions and proof of concepts aligned with key offerings - Collaborate with educational institutions for recruitment and joint research initiatives 2. Revenue Generation through ML Solutions: - Develop machine learning and deep learning models for decision augmentation and automation - Collaborate with ML engineers, data engineers, and IT for evaluating deployment options - Integrate model performance management tools into the existing business infrastructure 3. Team Management: - Support recruitment processes to onboard the right resources - Provide onboarding and training for team members to enhance capabilities - Manage team attrition and conduct timely performance reviews - Lead engagement initiatives to drive team satisfaction Performance Parameters: 1. Demand Generation - Measure: Order booking 2. Revenue Generation - Measure: Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management - Measure: % trained on new skills, team attrition % Mandatory Skills: ML Ops Experience: 5-8 Years Join Wipro, a company committed to reinventing itself and empowering employees to design their own reinvention. Be part of a business powered by purpose and ambition. Applications from individuals with disabilities are welcome.,

As a Senior Software Engineer at Wells Fargo, you will take the lead in driving complex technology initiatives that have a companywide impact. You will be instrumental in setting standards and best practices for engineering large-scale technology solutions across various technology disciplines. Your responsibilities will include designing, coding, testing, debugging, and documenting projects and programs. Your role will involve reviewing and analyzing complex technology solutions to address tactical and strategic business objectives within the enterprise technological environment. You will be making critical decisions in developing best practices for engineering solutions, leveraging industry standards and new technologies to guide and influence the technology team towards meeting deliverables and driving new initiatives. Collaboration and consultation with technical experts, senior technology team members, and external industry groups will be key to resolving technical challenges and achieving set goals. Moreover, you will lead projects, teams, or serve as a mentor to peers. The job requires a minimum of 5 years of Software Engineering experience or an equivalent combination of work experience, training, military service, or education. Desired qualifications for this role include strong Python programming skills, expertise in RPA tools like UI Path, proficiency in Workflow automation tools such as Power Platform, and a minimum of 2 years of hands-on experience in AI/ML and Gen AI. Additionally, experience in LLMs (Gemini, GPT, or Llama), prompt engineering, model fine-tuning, and AI/Gen AI certifications from premier institutions are preferred. Hands-on experience in ML ops tools like MLflow and CICD pipelines is also valued. In terms of job expectations, you will be involved in designing and developing AI-driven automation solutions, implementing AI automation to improve process automation, developing and maintaining automation, BOTS, and AI-based workflows, integrating AI automation with existing applications, API's and databases, and building and optimizing prompt engineering workflows. Furthermore, you will fine-tune and integrate pre-trained models for specific use cases and deploy models in production using robust ML ops practices. If you believe you are the ideal candidate for this role, we encourage you to apply before the job posting ends on 23rd July 2025. Wells Fargo is committed to providing equal opportunities, and we welcome applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. If you require any accommodations during the recruitment process due to a disability, please reach out to Disability Inclusion at Wells Fargo.,

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices

Join the Mega Walk-in recruitment drive for GenAI Specialist/Data Scientist AI/ML at Bangalore location on 19th July 2025 from 9:30 AM onwards Details of the Walk-in Drive: Date: 19th July [Saturday] 2025 Experience: 12 years to 18 years Time: 9:30 AM to 4:00 PM SPOC: Aishwarya G / AISHWARYAG5@hexaware.com Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Register here: https://lnkd.in/gmFBfPiU or Kindly share your updated resume to AISHWARYAG5@hexaware.com Key Skills and Experience: As a GenAI Specialist AI/ML, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Good to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo Mention "Aishwarya G" at the top of your resume. How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AISHWARYAG5@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a ML Developer at EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY's sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements: - A bachelor's degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field with adequate industry experience. - Technical skills requirements include developing and implementing machine learning models, conducting exploratory data analysis (EDA), applying dimension reduction techniques, utilizing statistical models, evaluating and validating models, solid background in Python, familiarity with Time Series Forecasting, basic experience with cloud platforms such as AWS, Azure, or GCP, and exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker). Additional skill requirements: - Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. - Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. - Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. - Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. - Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. Join us in building a better working world at EY, where opportunities for personal development, skill advancement, and career progression await. Be part of a diverse team of professionals dedicated to creating long-term value for clients, people, and society while fostering trust in the capital markets. Apply now and be a part of our journey towards a better future.,

As a Lead Backend Engineer at Team Geek Solutions, you will be a key member of our innovative team dedicated to leveraging cutting-edge technology to solve real-world problems. With a focus on scalable backend systems and next-gen AI, you will lead a group of developers and data scientists in creating impactful products that push the boundaries of AI capabilities. If you are passionate about leading with purpose and driving innovation, we invite you to join us on this exciting journey. Your primary responsibilities will include leading and mentoring a team of backend and AI engineers, designing and implementing robust backend solutions using Java and Python, and utilizing state-of-the-art techniques such as Large Language Models (LLMs) and Transformer models. By leveraging tools like PyTorch, LangChain, and Flask, you will develop end-to-end ML pipelines, from training to deployment, while collaborating with cross-functional teams to deliver AI-powered solutions that address specific use cases. To excel in this role, you must possess strong proficiency in Java and Python, along with a solid understanding of Data Structures & Algorithms. Experience with Transformer-based models, LLM fine-tuning, and deployment is essential, as well as familiarity with SQL and database management. Additionally, leadership skills and the ability to manage engineering teams effectively are key requirements for this position. Preferred skills include knowledge of LLMOps tools and cloud platforms (AWS/GCP/Azure) for model deployment, as well as excellent written and verbal communication abilities. A passion for innovation and a commitment to building AI-first products will set you apart as a valuable contributor to our team. Stay informed about the latest advancements in AI and integrate best practices into your work to drive continuous improvement and growth in our organization.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

We Are hiring "AI ML Engineer/ML Ops" for one of our "IT Services & Consulting-MNc" EXP-6-10 Years Mode-Permanent Location-Pune Skills required • Proficiency in ML Ops tools and frameworks (e.g., MLflow, Kubeflow, TensorFlow Extended) • Strong programming skills (e.g., Python, Bash) • Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI) • Excellent analytical and problem-solving abilities • Effective communication and collaboration skills • Attention to detail and commitment to data accuracy

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

HCLTech is looking for MLOps Engineer HCLTech is a globally recognized leader in technology solutions, renowned for delivering innovative and transformative digital services. With a commitment to excellence and a focus on responsible AI practices, Roles & Responsibilities: Candidate with 6+years of experience Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy. Cloud experience in GCP / AWS / Azure Location: Chennai / Bangalore / Noida/ Hyderabad/ Pune Experience: 6-18 years

About Project: We're seeking a talented and passionate Gen AI Data Scientist to join our team. In this role, you'll leverage your deep understanding of LLMs and machine learning to design, develop, and deploy chatbots that deliver exceptional user experiences. APPLY HERE: https://p.hck.re/vQ6h What You'll Do: Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI API (GPT-3.5 Turbo, GPT-4o, etc.) and frameworks like Langchain and Haystack. Using the Azure Cloud, develop and integrate AI-based chatbots with existing systems and platforms. Follow MLOps/LLMOps practices for efficient chatbot development, deployment, and management. Collaborate with Cloud and Digital teams, Data Engineers, Project Managers and Business stakeholders to ensure seamless chatbot integration and user adoption. Analyze chatbot performance data and identify opportunities for continuous improvement. You're a Perfect Fit If You Have: A Master's degree in Statistics, Machine Learning, Mathematics, Computer Science, or a related quantitative field. Hands-on with Vector DB & Graph DB (AI Search, Neo4j) and their use in semantic search. Must know AI/ML concepts and have hands-on experience with Langchain, LangGraph, and Haystack. Proficiency in programming languages like Python, SQL, Spark, and potentially others (e.g., JavaScript).

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

Company name: Tier 1 TOP GLOBAL MNC IT company. Location: Bangalore, Pune, ( Hybrid ) As a level in our Consultant/Senior Consultant/Manager youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - We are seeking skilled ML-Ops Manager / Senior Consultants to implement and manage ML-Ops frameworks for various industries. The ideal candidates will have a minimum of 8+ Years (Manager)/4-7 Years of experience (Senior Consultant) in Designing, Implementing, and leading ML-Ops frameworks. In this role, you will be responsible for the deployment, testing, and continuous integration of machine learning models while working with cross-functional teams. Following are the Key requirements: Collaborate with data scientists, developers, and infrastructure teams to ensure seamless integration of machine learning models into production environments. Develop and implement ML-Ops best practices to streamline the end-to-end machine learning lifecycle, from model training and testing to deployment and monitoring. Design, build, and maintain scalable and reliable machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, and deployment. Implement and manage continuous integration and continuous deployment (CI/CD) processes for machine learning models. Monitor the health and performance of deployed models, identifying and addressing issues related to data drift, model degradation, and performance bottlenecks. Automate model retraining and deployment processes to ensure models remain up to date with changing data and requirements. Collaborate with cross-functional teams to ensure data security, compliance, and privacy standards are met throughout the ML-Ops lifecycle. Drive improvements in the machine learning infrastructure by evaluating new tools, technologies, and processes. Participate in on-call rotations to address critical system issues as they arise. Additional Preferred Skills: Consulting/Strategy, Analytics and M&A(SAMA)/AI&Data |Consultant/Senior Consultant/Manager Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) for tracking model performance and system health. Knowledge of machine learning model monitoring and management platforms. Background in distributed computing and parallel processing. Domain expertise in Telecom, Retail / BFSI, Marketing, Life science, Manufacturing etc. Desired qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. Proven experience in deploying and managing machine learning models in production environments. Strong programming skills in languages such as Python, and experience with relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with containerization technologies such as Docker and orchestration platforms like Kubernetes. Proficiency in designing and optimizing data pipelines for large-scale data processing and machine learning. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and services for ML model deployment and management. Experience with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitLab CI/CD). Strong understanding of DevOps principles and practices, and the ability to collaborate effectively with cross-functional teams. Excellent problem-solving skills and the ability to diagnose and resolve complex technical issues. Strong communication skills, both written and verbal, to effectively convey technical information to non-technical stakeholders.

Job Description - Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in MLOps, DevOps, or ML Engineering roles. Strong experience with containerization (Docker) and orchestration (Kubernetes). Proficiency in Python and experience working with ML libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with ML pipeline tools such as MLflow, Kubeflow, TFX, Airflow, or SageMaker Pipelines. Hands-on experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, CloudFormation). Solid understanding of CI/CD principles, especially as applied to machine learning workflows. Nice-to-Have Experience with feature stores, model registries, and metadata tracking. Familiarity with data versioning tools like DVC or LakeFS. Exposure to data observability and monitoring tools. Knowledge of responsible AI practices including fairness, bias detection, and explainability. Interested person kindly drop your updated resume to divyapk@sightspectrum.com

3+ Years experience in Gen AI, AI Engineering, Solution Architecture Gen AI Specialist strong experience in LLM, AI engineering, AI project deployment & production, Gen AI innovation, Gen AI architecture, Gen AI based use case design, build, deploy & scale at clients. 2 years + Strong experience in AI, ML, Data Science. Solutioning, Architecture, Build, Deploy, ML Ops, Production, Managed Services Top Engineering Colleges Preferred Prefer is resource is from tech startup. Consulting and Tech Firms are also good. Cloud Firms too if we can afford Full Stack Tech Skills i.e. Front End, Middle End, Back End, Custom Apps, Automation will be a big bonus Experience in Solution Architecture for projects, AI Project Delivery hands on,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology we set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation -driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Man agement Trainee -Human Resource Analytics In this role, you will act as a Technical Leader for our People Analytics projects Responsibilities Lead the People Analytics Projects Accountable for all technical details of the projects and is expected to run them independently, end to end. Constantly upskilled with latest developments in the field of Machine Learning / Deep Learning Ensure we incorporate Machine Learning / Deep Learning, as applicable. Own entire project life cycle - Data collection, Data clean up and then modelling. Adept in storyboarding project insights Qualifications we seek in you! Minimum qualifications Relevant experience in Machine Learning / Deep Learning . Preferred Qualifications/ Skills Excellent hands-on experience in Machine Learning techniques such as Decision Trees (Random Forest), Support Vector Machines, Regression (Linear & Logistic) Should have hands on experience in Deep Neural network techniques such as RNNs and LSTMs Have worked on NLP. Adept at visualizing data and presenting it to stakeholders. Good with statistical concepts such as Probability Distributions and Hypotheses testing. Should have run Machine Learning / Deep Learning projects on cloud servers and handled large datasets. Good rank on Kaggle competitions is preferred. Excellent communication (verbal & written) skills - should be adept in storyboarding project insights. Languages preferred: Python or R Needs to be independent and self-motivated and comfortable working independently. Experience in ML Ops, Airflow would be an added advantage . Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Greetings, We are hiring for Senior Data Scientist in Bengaluru. As a Senior Data Scientist, you will focus on developing and implementing advanced data science and machine learning models to support our clients business needs. This role emphasizes hands-on technical work and collaboration with other data scientists and engineers, while working independently toward defined goals . You will play a key role in creating data solutions while contributing to our collective knowledge and innovation efforts. Key Responsibilities Data Science & Model Development: Data Preparation & Feature Engineering: Model Evaluation and Tuning: NLP & Advanced Frameworks: Collaboration & Communication: API Development & Integration: Continuous Learning & Improvement: Required Candidate Profile Qualification : Bachelor's or Master's degree in a relevant field (Computer Science, Data Science, Statistics etc.). Experience : 3+ years of experience in data science and machine learning. Programming & Tools : Proficient in Python, Git, and coding IDEs like VS Code or PyCharm. Machine Learning & Deep Learning : Strong knowledge of traditional machine learning algorithms, deep learning, and advanced hyper-parameter tuning. NLP : Proficiency with NLP techniques and experience with NLP projects on production. LLM Finetuning and Quantization Experience with Edge Deployment MLOps & Deployment : Experience with MLOps basics, containerization tools (Docker, Kubernetes), and cloud platforms (AWS, Azure, Google Cloud). To Discuss further on the role kindly reach out to our expert HR's *Ayushi 8602279217 Warm Regards, Prajit Grover HR TEAM KVC CONSULTANTS LTD.

Lead the technical discovery process, assess customer requirements, and design scalable solutions leveraging a comprehensive suite of Data & AI services, including BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Vertex AI, Gemini, and Agent Builder. Architect and demonstrate solutions leveraging generative AI, large language models (LLMs), AI agents, and agentic AI patterns to automate workflows, enhance decision-making, and create intelligent applications. Develop and deliver compelling product demonstrations, proofs-of-concept (POCs), and technical workshops that showcase the value and capabilities of Google Cloud. Strong understanding of data warehousing, data lakes, streaming analytics, and machine learning pipelines. Collaborate with sales to build strong client relationships, articulate the business value of Google Cloud solutions, and drive adoption. Lead and contribute technical content and architectural designs for RFI/RFP responses and technical proposals leveraging Google Cloud Services. Stay informed of industry trends, competitive offerings, and new Google Cloud product releases, particularly in the infrastructure and data/AI domains. Extensive experience in architecting & designing solutions on Google Cloud Platform, with a strong focus on: Data & AI services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI (ML Ops, custom models, pre-trained APIs), Generative AI (e.g., Gemini). Strong understanding of cloud architecture patterns, DevOps practices, and modern software development methodologies. Ability to work effectively in a cross-functional team environment with sales, product, and engineering teams. 5+ years of experience in pre-sales or solutions architecture, focused on cloud Data & AI platforms. Skilled in client engagements, technical presentations, and proposal development. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Location-Noida,Pune,Bengaluru,Hyderabad,Chennai

Must have skillsets Required Skills: • 5 years of experience in ML Ops, DevOps, or Data Engineering roles. • Hands-on experience with Azure services, including: o Azure Machine Learning o Azure DevOps (CI/CD) o Azure Kubernetes Service (AKS) o Azure Data Lake / Blob Storage o Azure Functions / Logic Apps • Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Familiarity with containerization (Docker) and orchestration (Kubernetes). • Experience with ML model monitoring and logging tools. • Knowledge of ML model versioning and experiment tracking (e.g., MLflow, DVC). • Strong understanding of software development best practices and agile methodologies. • Familiarity with Terraform or Bicep for Azure infrastructure provisioning. • Exposure to Responsible AI and governance frameworks on Azure. • Experience working in regulated industries (healthcare, Pharma & Life Sciences) is a plus. Role & responsibilities Preferred candidate profile

Responsibilities: Be an integral part of large-scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Qualifications & Experience A bachelors degree in Computer Science or related field with 3-8 years of technology experience Strong problem solving mindset in order to apply technology to solve a business problem. Strong experience in Data engineering, System Integration, Application Development, Data-Warehousing or BI reporting. Software development experience using: Object-oriented languages (eg, Python, PySpark,) and related frameworks Working knowledge in Agile, Kanban and scrum teams and exposure across all the SDLC process, including testing and deployment Expertise in relational and dimensional modelling, including big data technologies. Expertise in Microsoft Azure is mandatory including components like Azure DataBricks, Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, ML Service, MS Fabric etc Good knowledge of Python and Spark are required Good understanding of how to enable analytics using cloud technology and ML Ops Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure) Characteristics of a forward thinker and self-starter Good communication skills and ability to hold conversation with stakeholders.

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Software Engineer Consultant/Expert Location: Chennai Work Type: Onsite Position Description: Candidate with strong Python experience. Full Stack Development in GCP End to End Deployment/ ML Ops Software Engineer with hands-on n both front end, back end and ML Ops This is a Tech Anchor role. Experience Required: 7 Plus Years TekWissen Group is an equal opportunity employer supporting workforce diversity.

Role & responsibilities Python, Full Stack Development in GCP End to End Deployment/ ML Ops Location: Chennai Only

Location: Bangalore/Noida/Pune/Gurgaon Education: B.E. / B. Tech / M.E. / M. Tech / MCA Job Responsibilities: Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment. Innovation and Continuous Improvement: Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques. Contribute to the continuous improvement of team processes and workflows. Share knowledge and expertise to promote a collaborative learning environment. Development and Documentation: Build software to run and support machine-learning models. Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes. Participate in fast iteration cycles and adapt to evolving project requirements. Business Solutions and Strategy: Propose solutions and strategies to business challenges. Collaborate with Data Science team, Front End Developers, DBA, and DevOps teams to shape architecture and detailed designs. Mentorship: Conduct code reviews and mentor junior team members. Foster strong interpersonal skills, excellent communication skills, and collaboration skills within the team. Mandatory Skills: Programming Languages: Proficiency in Python (3.x) and SQL. ML Frameworks and Libraries: Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Databases: Proficiency in SQL and NoSQL databases. Mathematics and Algorithms: In-depth knowledge of mathematics, statistics, and algorithms. ML Modules and REST API: Proficient with ML modules and REST API. Version Control: Hands-on experience with version control applications (GIT). Model Deployment and Monitoring: Experience with model deployment and monitoring. Data Processing: Ability to turn unstructured data into useful information (e.g., auto-tagging images, text-to-speech conversions). Problem-Solving: Analytically agile with strong problem-solving capabilities. Learning Agility: Quick to learn new concepts and eager to explore and build new features. Qualifications: Education: Bachelors or Master’s degree in Computer Science, Data Science, or a related field. Experience: Minimum of 6 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably in cloud-based environments. Role & responsibilities Preferred candidate profile

About the Role: Our team is responsible for building the backend components of the GenAI Platform. Python Terraforms AI & RAG MLOps Any cloud (Preferred AWS )