ai ml engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>Openings for : </b><b>GEN AI/AI ML Engineer</b><br>
<b>
</b><br>
<b>Key Responsibilities:</b></p>
<ul><li>Hands on experience in data science and machine learning both traditional ML and LLM based solutions.</li>
</ul><ul><li>Strong programming skills in Python and familiarity with libraries like PyTorch, TensorFlow, Scikit-learn, LangChain, and HuggingFace.</li>
</ul><ul><li>Experience building APIs and deploying models with FastAPI.</li>
</ul><ul><li>Proven experience with AWS ML stack SageMaker, BedrockLambda, EKS, etc.</li>
</ul><ul><li>Strong understanding of AI Governance principles including compliance, security, explainability, and monitoring.</li>
</ul><ul><li>Experience with agents, LLMs, and GenAI applications in production environments.</li>
</ul><ul><li>Solid foundation in MLOps practices CI CD, versioning, monitoring, automation.</li>
</ul><ul><li>Excellent problem solving skills and the ability to work cross functionally with business and engineering teams.</li>
</ul></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>378885</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning | Python</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMMERCE</div></div></div><div></div>

AI ML Engineer

Nets-international Communication

<p>NETS International Group is seeking a <b>highly skilled AI/ML Engineer</b> to join our innovation and analytics division. The ideal candidate will have strong expertise in <b>machine learning, data science, and AI model deployment</b>, with the ability to design, train, and optimize predictive systems that deliver measurable impact.</p><p>This role involves working closely with <b>data engineers, software developers, and cloud architects</b> to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy <b>machine learning models</b> and <b>AI-based solutions</b> for predictive analytics, automation, and decision support.</li><li>Perform <b>data preprocessing, feature engineering, and model evaluation</b> using statistical and deep learning techniques.</li><li>Implement models using <b>Python frameworks</b> such as <b>TensorFlow, PyTorch, Scikit-learn, and Keras</b>.</li><li>Collaborate with data engineers to build and maintain <b>data pipelines</b> for training and inference.</li><li>Integrate AI models into <b>production environments</b> using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring <b>data quality and security</b>.</li><li>Develop and optimize <b>MLOps pipelines</b> for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct <b>research and experimentation</b> to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure <b>model explainability, fairness, and compliance</b> with company and industry standards.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Artificial Intelligence, or related field</b>.</li><li>Proven experience (3+ years) in <b>machine learning, AI model development, and data analytics</b>.</li><li>Proficiency in <b>Python</b>, with strong knowledge of libraries such as <b>NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch</b>, and <b>Keras</b>.</li><li>Strong understanding of <b>data preprocessing, model selection, feature engineering, and evaluation metrics</b>.</li><li>Experience with <b>SQL and NoSQL databases</b> (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with <b>cloud-based AI/ML services</b> (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with <b>DevOps/MLOps tools</b> (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of <b>statistics, probability, linear algebra, and data visualization tools</b> (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of <b>Natural Language Processing (NLP), Computer Vision</b>, or <b>Generative AI</b> is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>what is your monthly current salary?</li><li>what is your monthly expected salary?</li><li>what is your notice period?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>AI ML Engineer: 4 years (Required)</li></ul>

VLINQ DIGITAL (PRIVATE) LIMITED

<p>We are looking for a skilled and innovative <b>AI/ML Engineer</b> to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will work on data-driven projects, collaborate with cross-functional teams, and help integrate AI technologies into existing systems and products.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, build, and deploy <b>machine learning models</b> for real-world applications.</li><li>Perform <b>data preprocessing, cleaning, and feature engineering</b>.</li><li>Evaluate and fine-tune model performance using <b>ML metrics and validation techniques</b>.</li><li>Collaborate with <b>data scientists, software engineers, and product teams</b>.</li><li>Implement <b>AI models into production</b> using APIs and automation pipelines.</li><li>Research and experiment with <b>new algorithms and frameworks</b>.</li><li>Document processes, model architectures, and deployment strategies.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, AI, or a related field</b>.</li><li><b>2&ndash;4 years of hands-on experience</b> in machine learning and AI development.</li><li>Strong programming skills in <b>Python</b> and familiarity with <b>TensorFlow, PyTorch, Scikit-learn, or Keras</b>.</li><li>Experience with <b>data manipulation libraries</b> (NumPy, Pandas) and <b>visualization tools</b> (Matplotlib, Seaborn).</li><li>Understanding of <b>ML algorithms, deep learning, NLP, or computer vision</b>.</li><li>Experience deploying models using <b>AWS, Azure, or Google Cloud AI services</b>.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI/ML Engineer

Techionik Ltd

<p>An <b>AI/ML Engineer</b> is responsible for designing, developing, and deploying machine learning models and artificial intelligence systems that solve real-world problems. The role involves working with large datasets, building predictive models, optimizing algorithms, and integrating ML solutions into production environments. AI/ML Engineers work closely with data scientists, software engineers, and product teams to deliver scalable and efficient AI-driven applications.</p><p><b>Key Responsibilities</b></p><ul><li>Develop, train, test, and deploy machine learning and deep learning models.</li><li>Collect, preprocess, and analyze large datasets for model training and evaluation.</li><li>Research and implement cutting-edge ML algorithms and techniques.</li><li>Build end-to-end ML pipelines (data ingestion &rarr; model training &rarr; evaluation &rarr; deployment).</li><li>Optimize model performance (accuracy, latency, scalability).</li><li>Collaborate with data scientists to translate business problems into ML solutions.</li><li>Integrate ML models into production systems using APIs, cloud services, or MLOps tools.</li><li>Monitor, maintain, and retrain models in production to ensure long-term performance.</li><li>Document model architecture, data workflow, and implementation details.</li></ul><p><b>Required Skills</b></p><ul><li>Strong experience with <b>Python</b> and ML libraries (TensorFlow, PyTorch, Scikit-learn).</li><li>Proficiency in <b>data processing tools</b> (Pandas, NumPy, Spark).</li><li>Knowledge of <b>statistics</b>, <b>probability</b>, and <b>linear algebra</b>.</li><li>Experience with <b>machine learning algorithms</b> (regression, classification, NLP, CV, deep learning, etc.).</li><li>Familiarity with <b>cloud platforms</b> such as AWS, GCP, or Azure.</li><li>Understanding of <b>MLOps tools</b> (MLflow, Kubeflow, Docker, Kubernetes, CI/CD).</li><li>Strong problem-solving and analytical skills.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li><li>Experience with <b>big data technologies</b> (Hadoop, Spark).</li><li>Hands-on experience with <b>LLM integration</b> or <b>generative AI</b>.</li><li>Ability to build scalable ML architectures and work with REST APIs or microservices.</li></ul><p><b>Soft Skills</b></p><ul><li>Excellent communication and collaboration skills.</li><li>Ability to work in cross-functional teams.</li><li>Strong attention to detail and documentation.</li><li>Creative thinking and innovation mindset.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Sculptsoft

<p><b>Role : </b>AI/ML Engineer<br/><b>Experience :</b> 4+ yrs</p><p>The ideal candidate should have a solid foundation in:</p><p><b>At least 1&ndash;1.5 years of hands-on experience in Generative AI or Agentic AI projects</b>.</p><ul><li><b>Python</b>, <b>FastAPI</b>, or <b>Django</b> for backend development</li><li>Experience with <b>LangChain</b>, <b>LlamaIndex</b>, or similar LLM frameworks</li><li>Familiarity with <b>OpenAI / Anthropic APIs</b>, <b>prompt engineering</b>, and <b>RAG (Retrieval-Augmented Generation)</b></li><li>Exposure to <b>vector databases</b> like <b>Pinecone</b>, <b>FAISS</b>, or <b>Weaviate</b></li><li>Knowledge of <b>LLM orchestration</b>, <b>agentic workflows</b>, and <b>tool integrations</b></li><li>Experience with <b>multi-agent systems</b>, <b>task planning</b>, and <b>autonomous reasoning frameworks</b></li><li>Understanding of <b>workflow memory management</b> and <b>context passing</b> between agents</li><li>Strong understanding of <b>MongoDB / PostgreSQL</b>, <b>API integrations</b>, and <b>asynchronous programming</b></li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;1,000,000.00 - &#8377;1,200,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Experience:</p><ul><li>AI/ML: 4 years (Required)</li></ul><p>Work Location: In person</p>

<p>NETS International Group is seeking a <b>highly skilled AI/ML Engineer</b> to join our innovation and analytics division. The ideal candidate will have strong expertise in <b>machine learning, data science, and AI model deployment</b>, with the ability to design, train, and optimize predictive systems that deliver measurable impact.</p><p>This role involves working closely with <b>data engineers, software developers, and cloud architects</b> to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy <b>machine learning models</b> and <b>AI-based solutions</b> for predictive analytics, automation, and decision support.</li><li>Perform <b>data preprocessing, feature engineering, and model evaluation</b> using statistical and deep learning techniques.</li><li>Implement models using <b>Python frameworks</b> such as <b>TensorFlow, PyTorch, Scikit-learn, and Keras</b>.</li><li>Collaborate with data engineers to build and maintain <b>data pipelines</b> for training and inference.</li><li>Integrate AI models into <b>production environments</b> using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring <b>data quality and security</b>.</li><li>Develop and optimize <b>MLOps pipelines</b> for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct <b>research and experimentation</b> to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure <b>model explainability, fairness, and compliance</b> with company and industry standards.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Artificial Intelligence, or related field</b>.</li><li>Proven experience (3+ years) in <b>machine learning, AI model development, and data analytics</b>.</li><li>Proficiency in <b>Python</b>, with strong knowledge of libraries such as <b>NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch</b>, and <b>Keras</b>.</li><li>Strong understanding of <b>data preprocessing, model selection, feature engineering, and evaluation metrics</b>.</li><li>Experience with <b>SQL and NoSQL databases</b> (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with <b>cloud-based AI/ML services</b> (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with <b>DevOps/MLOps tools</b> (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of <b>statistics, probability, linear algebra, and data visualization tools</b> (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of <b>Natural Language Processing (NLP), Computer Vision</b>, or <b>Generative AI</b> is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>AI ML: 4 years (Required)</li></ul>

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: AI/ML Engineer
</div></div></div></div><div><div><div><div>Req Id: 110934
</div></div></div></div><div><div><div><div>City: Minneapolis
</div></div></div></div><div><div><div><div>State/Province: Minnesota
</div></div></div></div><div><div><div><div>Posting Start Date: 11/19/25
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b></p><p>The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
</p></div></div><div><div><h2 class="jobSectionHeader"><b>&#847;
</b></h2></div><div><p><b>Position: </b><b>Agentic AI- AI/ML Engineer<br>
</b></p><p></p><p><b>Primary Responsibilities:
</b></p><ul><li>AI/ML Development and Deployment:
</li><li><ul><li>Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services
</li><li>Fine-tune and deploy LLMs for enterprise-grade applications
</li><li>Design and build RAG pipelines leveraging Azure services and vector databases
</li><li>Develop and orchestrate multi-agent LLM systems for complex workflows
</li><li>Ensure robust model deployment, monitoring, and performance optimization in production environments
</li></ul></li><li>Azure Platform Engineering:
</li><li><ul><li>Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing
</li><li>Integrate AI models with Azure-based data pipelines and APIs
</li><li>Use Azure DevOps for CI/CD of ML workflows and model versioning
</li><li>Apply MLOps best practices for model governance, monitoring, and retraining
</li><li>Ensure compliance with data governance, privacy, and security standards in cloud environments
</li></ul></li><li>Data Engineering and Processing:
</li><li><ul><li>Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark
</li><li>Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference
</li></ul></li><li>Collaboration and Innovation:
</li><li><ul><li>Collaborate with data scientists, product managers, and engineers to deliver AI-driven features
</li><li>Stay current with advancements in generative AI, LLMs, and Azure AI services
</li><li>Contribute to the continuous improvement of AI/ML pipelines and best practices
</li></ul></li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>&#847;
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>&#847;
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: Python for Data Science .<br>
<p></p>Experience: 8-10 Years .<br>
<p></p>The expected compensation for this role ranges from $80,000 to $158,000 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

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