7 Traditional Ml Jobs

Role Overview: You are sought after to be a skilled Tech Lead - AI at Carelon Global Solutions India. In this role, you will be responsible for overseeing the strategic planning, supervision, and management of AI technology initiatives within the lab environment. Your duties will include leading a team, managing the lifecycle of ideas, and diagnosing problems to ensure the successful development and implementation of innovative solutions. Additionally, you will be tasked with storytelling, document preparation, and content creation to ensure clear communication and alignment with technical language and goals. Key Responsibilities: - Shape the lab's AI agenda in line with emerging trends and business priorities. - Identify and evaluate AI frameworks, tools, and platforms for rapid prototyping and scaled adoption. - Collaborate with cross-functional teams to ensure AI use cases are ethically aligned, feasible, and business-relevant. - Translate business ideas into AI-powered solutions using appropriate algorithms (ML, NLP, CV, etc.). - Oversee creation and validation of datasets, models, pipelines, and AI microservices within the lab. - Ensure AI solutions are modular, interpretable, and optimized for experimentation at scale. - Own end-to-end lifecycle from ideation, model development, testing, validation, deployment, and monitoring. - Implement feedback loops for continuous learning and tuning of AI systems. - Guide AI engineers, data scientists, and junior developers on advanced AI concepts, architecture, and practices. - Build internal capability and awareness through demos, reusable components, and internal knowledge hubs. - Actively contribute to idea refinement, diagnostics, and hypothesis framing for AI applicability. - Develop and deliver compelling stories to communicate the impact and value of lab projects. - Ensure clear communication and understanding of technical language and concepts within the team and with stakeholders. - Oversee lab operations and foster an environment that supports experimentation and innovation. - Plan and manage team capacity to support diverse project needs. - Troubleshoot and resolve complex technical challenges in collaborative, agile settings. - Research industry related topics and continuously track industry AI trends, papers, benchmarks, and innovations. Qualifications Required: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field. - 8-10 years of experience in Technology Management. - Managed a team of 10+ Developers. - Proven experience in building and leading AI/ML initiatives and teams. - Advanced degree or certification in technology management or a related field. - Experience in managing technology labs or innovation centers. - Strong problem-solving and analytical skills. - Proficiency in project management software and tools. - Proficiency in storytelling, document preparation, and content creation.,

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization. You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented AI Architect to join our team. If you're excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career. Experience - 8 - 10 years Location - Bengaluru Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI Position Overview We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications. Key Responsibilities AI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques Research and prototype cutting-edge generative AI solutions Traditional ML & Statistics: Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods Perform feature engineering, selection, and dimensionality reduction techniques Conduct statistical inference, confidence intervals, and significance testing Design and analyze controlled experiments and observational studies Apply Bayesian methods and probabilistic modeling approaches Full Stack Development: Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular) Build robust backend services and APIs using Python, Node.js, or similar technologies Design and implement database solutions (SQL/NoSQL) optimized for ML workloads Create intuitive user interfaces for AI-powered applications and statistical dashboards MLOps & Infrastructure: Establish and maintain ML pipelines for model training, validation, and deployment Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar Monitor model performance, drift detection, and automated retraining systems Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure) Containerize applications using Docker and orchestrate with Kubernetes Collaboration & Leadership: Work closely with data scientists, product managers, and engineering teams Mentor junior engineers and contribute to technical decision-making Participate in code reviews and maintain high development standards Stay current with latest AI/ML trends and technologies Required Qualifications Experience & Education: 7-8 years of professional software development experience Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field 6+ years of hands-on AI/ML experience in production environments Technical Skills: Programming: Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus Traditional ML: Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods Statistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference Statistical Tools: Experience with R, SAS, SPSS, or similar statistical software packages Deep Learning: TensorFlow, PyTorch, neural networks, computer vision, NLP LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering Full Stack: React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs Databases: PostgreSQL, MongoDB, Redis, vector databases MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools Cloud Platforms: AWS/GCP/Azure, serverless architectures Soft Skills: Strong problem-solving and analytical thinking Excellent communication and collaboration abilities Self-motivated with ability to work in fast-paced environments Experience with agile development methodologies Preferred Qualifications Experience with causal inference methods and econometric techniques Knowledge of distributed computing frameworks (Spark, Dask) Experience with edge AI and model optimization techniques Publications in AI/ML/Statistics conferences or journals Open source contributions to ML/statistical projects Experience with advanced statistical modeling and multivariate analysis Familiarity with operations research and optimization techniques

As a Tech Lead - AI at Carelon Global Solutions India, your role will involve overseeing the strategic planning, supervision, and management of AI technology initiatives within the lab environment. You will be accountable for leading a team, managing the lifecycle of ideas, and diagnosing problems to ensure successful development and implementation of innovative solutions. Additionally, you will be responsible for storytelling, document preparation, and content creation to ensure clear communication and alignment with technical language and goals. **Key Responsibilities:** - Shape the labs AI agenda aligned with emerging trends and business priorities. - Identify and evaluate AI frameworks, tools, and platforms for rapid prototyping and scaled adoption. - Collaborate with cross-functional teams to ensure AI use cases are ethically aligned, feasible, and business-relevant. - Translate business ideas into AI-powered solutions using appropriate algorithms (ML, NLP, CV, etc.). - Oversee creation and validation of datasets, models, pipelines, and AI microservices within the lab. - Ensure AI solutions are modular, interpretable, and optimized for experimentation at scale. - Own end-to-end lifecycle from ideation, model development, testing, validation, deployment, and monitoring. - Implement feedback loops for continuous learning and tuning of AI systems. - Guide AI engineers, data scientists, and junior developers on advanced AI concepts, architecture, and practices. - Build internal capability and awareness through demos, reusable components, and internal knowledge hubs. - Actively contribute to idea refinement, diagnostics, and hypothesis framing for AI applicability. - Develop explainer materials and narratives to help non-technical stakeholders understand AI outcomes. - Identify and diagnose technical problems within lab projects and solutions. - Develop and deliver compelling stories to communicate the impact and value of lab projects. - Ensure clear communication and understanding of technical language and concepts within the team and with stakeholders. - Oversee lab operations and foster an environment that supports experimentation and innovation. - Plan and manage team capacity to support diverse project needs. - Troubleshoot and resolve complex technical challenges in collaborative, agile settings. **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field. - 8-10 years of experience in Technology Management. - Managed a team of 10+ Developers. - Proven experience in building and leading AI/ML initiatives and teams. - Experience with lab environments and innovation management is a plus. This role at Carelon Global Solutions India offers a world of limitless opportunities to its associates, with a focus on learning and development, innovation, creativity, holistic well-being, rewards and recognitions, health and medical insurance coverage, best-in-class amenities, and workspaces. Carelon is an equal opportunity employer that celebrates diversity and empowers its workforce to deliver the best results for customers. If you require accommodation due to a disability, you can request the Reasonable Accommodation Request Form.,

As a Tech Lead - AI at Carelon Global Solutions India, you will play a crucial role in overseeing the strategic planning, supervision, and management of AI technology initiatives within the lab environment. Your responsibilities will include leading a team, managing the lifecycle of ideas, and diagnosing problems to ensure successful development and implementation of innovative solutions. **Key Responsibilities:** - Shape the lab's AI agenda aligned with emerging trends and business priorities. - Identify and evaluate AI frameworks, tools, and platforms for rapid prototyping and scaled adoption. - Translate business ideas into AI-powered solutions using appropriate algorithms (ML, NLP, CV, etc.). - Own end-to-end lifecycle of AI solutions from ideation to monitoring and ensure continuous learning and tuning. - Guide and mentor AI engineers, data scientists, and junior developers on advanced AI concepts. - Actively contribute to idea refinement, diagnostics, and hypothesis framing for AI applicability. - Develop and deliver compelling stories to communicate the impact and value of lab projects. - Ensure clear communication and understanding of technical language and concepts within the team and with stakeholders. **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field. - 8-10 years of experience in Technology Management. - Managed a team of 10+ Developers. - Proven experience in building and leading AI/ML initiatives and teams. - Experience with lab environments and innovation management is a plus. - Advanced degree or certification in technology management or a related field. - Strong problem-solving and analytical skills. - Familiarity with AI technologies including Python, TensorFlow, PyTorch, ONNX, Scikit-learn, LangChain, etc. - Excellent organizational, multitasking, communication, and interpersonal skills. - Proficiency in project management software and tools. At Carelon Global Solutions, you will have the opportunity to work in an environment that fosters growth, well-being, learning, and development. You will be part of a culture built on innovation, creativity, and freedom, with a comprehensive range of rewards and recognitions, competitive health and medical insurance coverage, and best-in-class amenities and workspaces. We are an equal opportunity employer that celebrates diversity and empowers all associates to deliver their best results.,

As a Tech Lead - AI at Carelon Global Solutions India, you will be accountable for overseeing the strategic planning, supervision, and management of AI technology initiatives within the lab environment. Your role will involve leading a team, managing the lifecycle of ideas, and diagnosing problems to ensure the successful development and implementation of innovative solutions. Additionally, you will be responsible for storytelling, document preparation, and content creation, ensuring clear communication and alignment with technical language and goals. Your responsibilities will include shaping the lab's AI agenda aligned with emerging trends and business priorities, identifying and evaluating AI frameworks, tools, and platforms for rapid prototyping and scaled adoption, and collaborating with cross-functional teams to ensure AI use cases are ethically aligned, feasible, and business-relevant. You will translate business ideas into AI-powered solutions using appropriate algorithms (ML, NLP, CV, etc.), oversee the creation and validation of datasets, models, pipelines, and AI microservices within the lab, and ensure AI solutions are modular, interpretable, and optimized for experimentation at scale. You will own the end-to-end lifecycle from ideation, model development, testing, validation, deployment, and monitoring, implement feedback loops for continuous learning and tuning of AI systems, and ensure AI models are reusable, version-controlled, and benchmarked for lab-wide reuse. Furthermore, you will guide AI engineers, data scientists, and junior developers on advanced AI concepts, architecture, and practices, build internal capability and awareness through demos, reusable components, and internal knowledge hubs, and partner with academia/startups for co-innovation and infusion of cutting-edge AI methods. You will actively contribute to idea refinement, diagnostics, and hypothesis framing for AI applicability, develop explainer materials and narratives to help non-technical stakeholders understand AI outcomes, and curate AI capabilities and successes for storytelling, whitepapers, and customer showcases. In addition, you will identify and diagnose technical problems within lab projects and solutions, implement effective troubleshooting and problem-solving strategies, collaborate with team members to resolve issues and improve processes, and develop and deliver compelling stories to communicate the impact and value of lab projects. You will prepare detailed documentation, reports, and presentations for various audiences, create and correlate content that aligns with both technical and non-technical stakeholders, and ensure clear communication and understanding of technical language and concepts within the team and with stakeholders. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field, along with 8-10 years of experience in Technology Management. You should have managed a team of 10+ Developers, proven experience in building and leading AI/ML initiatives and teams, and experience with technology management, strategic planning, and team leadership. Skills and competencies required include advanced degree or certification in technology management or a related field, knowledge of the full lifecycle of technology development and implementation, strong problem-solving and analytical skills, familiarity with a range of technology platforms and tools, and proficiency in AI technologies including Python, TensorFlow, PyTorch, ONNX, Scikit-learn, LangChain, etc. At Carelon, we offer a world of limitless opportunities to our associates, focusing on learning and development, an inspiring culture built on innovation, creativity, and freedom, holistic well-being, comprehensive range of rewards and recognitions, competitive health and medical insurance coverage, best-in-class amenities and workspaces, and policies designed with associates at the center. We are an equal opportunity employer that values diversity and inclusivity in the workplace. If you require any reasonable accommodations during the application process, please inform us.,

???? We&aposre Hiring: Agentic AI Developer ???? Location: Pune (Hybrid) ???? Apply at: [HIDDEN TEXT] ???? Experience: 35 years (Hands-on) DATADOVE is on the lookout for an exceptional Agentic AI Developer to join our fast-growing team! If you&aposre passionate about building AI systems that make real impactespecially in marketing and operationsthis is your opportunity to shine. ???? What You&aposll Be Doing AI/ML Development & Deployment for marketing and operations use cases Deep Learning : Work with CNNs, RNNs, Transformers, and Attention Mechanisms Generative AI : Utilize OpenAI (GPT, DALLE, Whisper), Anthropic (Claude) Agentic AI : Build on platforms like AutoGen, CrewAI, AWS Bedrock Multimodal AI : Develop intelligent agents using text, voice, and more Python Expertise : Use NumPy, Pandas, Matplotlib, TensorFlow, PyTorch Traditional ML : Apply supervised/unsupervised learning, PCA, tuning Data Analytics : Run predictive analysis, clustering, A/B testing, KPI tracking MLOps & CI/CD : Handle model versioning, pipelines, monitoring Cloud Platforms : Leverage AWS (S3, Lambda, EC2, SageMaker, Bedrock) Dev Tools : Work with Cursor for streamlined code reviews and collaboration Collaboration : Communicate clearly with clients and teams to align delivery ???? What You Bring Degree: B.Tech / BE / M.Tech / MCA / M.Sc 3+ years experience in hands-on AI/ML development Strong skills in Python, Deep Learning, and Generative AI frameworks Familiarity with AWS cloud services & MLOps best practices Excellent communication and stakeholder management skills Bonus: Experience with Power BI / Tableau Domain Edge: Experience in marketing-focused AI solutions ???? Why Join DATADOVE At DATADOVE, we&aposre creating AI-powered solutions that help businesses scale faster, smarter, and more efficiently . Be part of a team where your work truly drives impact and where collaboration and innovation are core values. ???? Apply Now : Send your resume and portfolio to [HIDDEN TEXT] Show more Show less

At CoffeeBeans Consulting, we are a dynamic software consulting firm helping clients solve complex problems through innovative technology solutions. Were expanding our Data & AI practice and looking for a Lead Consultant Data & AI to help us build and deliver high-impact data and AI projects for our clients. Role Overview: Were looking for a hands-on technical leader who combines deep expertise in AI/ML (traditional ML and GenAI) with strong skills in modern data engineering and architecture . This role is: Hands-on engineering and architecture, building and implementing solutions. Client-facing consulting, understanding business problems and translating them into technical solutions. Mentoring and guiding junior team members, fostering a high-performance team culture. You will work closely with clients to design, build, and deliver impactful Data & AI solutions while establishing best practices and maintaining a high bar for technical quality. Key Responsibilities: Solution Design & Delivery Architect and implement end-to-end AI/ML solutions , including: Data pipelines and scalable data architectures. Traditional ML models and workflows. GenAI and agentic AI systems, including retrieval-augmented generation (RAG) and LLM-based applications. Ensure delivery of high-quality, scalable, and maintainable solutions aligned with client needs. Establish and advocate best practices for MLOps and data engineering workflows. Consulting & Client Engagement Act as a trusted technical advisor for clients, shaping their Data & AI strategy and roadmaps. Translate business problems into technical solutions with clear articulation of value. Facilitate technical discussions and workshops with stakeholders to gather requirements and guide solutions. Technical Leadership Lead by example, contributing hands-on to critical parts of projects. Set code and architectural standards for AI and data projects. Stay current with industry trends and advancements in AI/ML, GenAI, and data engineering. Team Development Mentor and upskill junior engineers and data scientists within the team. Foster a collaborative, inclusive, and supportive team environment. Support the hiring and onboarding of new team members as we grow our Data & AI capability. Key Requirements: ? Experience: 1012 years in the software/technology industry. Minimum 5+ years of experience designing and building AI/ML solutions in production environments. Strong experience with data engineering and architecture in production systems. Experience working in consulting or client-facing delivery environments . ? Technical Skills: Deep knowledge of traditional ML (classification, regression, NLP, computer vision) and GenAI (LLMs, embeddings, RAG, agentic AI workflows). Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain/LlamaIndex). Proficiency in Python (and/or R, Scala) for data and AI workloads. Experience with data engineering tools and orchestration frameworks (Spark, Databricks, Kafka, Airflow). Strong familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI and data solutions. Understanding of MLOps practices (CI/CD for ML, monitoring, model retraining pipelines). Experience with data modeling, data lakes, and data pipeline architecture . ? Leadership & Mindset: Ability to lead and mentor technical teams in delivery environments. A consulting mindset with the ability to communicate effectively with technical and non-technical stakeholders. Empathetic leadership style, fostering trust and team growth. Comfortable in fast-paced, dynamic, client-facing environments. Nice to Have: Experience with LLM fine-tuning and optimization. Strong hands-on experience with Databricks for scalable data and AI workloads. Exposure to agentic AI frameworks and advanced orchestration for LLM-powered workflows. Certifications in cloud or AI/ML specializations. Experience in growing Data & AI teams within a consulting environment. Why Join Us Opportunity to shape and expand our Data & AI practice from the ground up. Work with diverse clients to solve meaningful and challenging problems. Be part of a collaborative, people-first culture with a focus on growth and learning. Competitive compensation and career advancement opportunities. Show more Show less