software engineer

ai engineer

applications engineer

associate engineer

design engineer

machine engineer

HCLTech

<div>
 
 
 Job Title:
 
 
 
 
 ML Ops Engineer / ML Engineer
 
 
 
 Experience - 5Yrs -20 Yrs
 
 
 Location - Chennai / Bangalore / Hyderabad / Pune / Noida / Mumbai/
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for an experienced MLOps Engineer to help deploy, scale, and manage machine learning models in production environments. You will work closely with data scientists and engineering teams to automate the machine learning lifecycle, optimize model performance, and ensure smooth integration with data pipelines.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Transform prototypes into production-grade models
 
 
 <ul>
 <li>
 Assist in building and maintaining machine learning pipelines and infrastructure across cloud platforms such as AWS, Azure, and GCP.
 </li>
 <li>
 Develop REST APIs or FastAPI services for model serving, enabling real-time predictions and integration with other applications.
 </li>
 <li>
 Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models deployed.
 </li>
 <li>
 Collaborate with data governance and technical teams to ensure compliance with engineering standards.
 </li>
 </ul>
 
 
 Maintain models in production
 
 
 <ul>
 <li>
 Collaborate with data scientists and engineers to deploy, monitor, update, and manage models in production.
 </li>
 <li>
 Manage the full CI/CD cycle for live models, including testing and deployment.
 </li>
 <li>
 Develop logging, alerting, and mitigation strategies for handling model errors and optimize performance.
 </li>
 <li>
 Troubleshoot and resolve issues related to ML model deployment and performance.
 </li>
 <li>
 Support both batch and real-time integrations for model inference, ensuring models are accessible through APIs or scheduled batch jobs, depending on use case.
 </li>
 </ul>
 
 
 Contribute to AI platform and engineering practices
 
 
 <ul>
 <li>
 Contribute to the development and maintenance of the AI infrastructure, ensuring the models are scalable, secure, and optimized for performance.
 </li>
 <li>
 Collaborate with the team to establish best practices for model deployment, version control, monitoring, and continuous integration/continuous deployment (CI/CD).
 </li>
 <li>
 Drive the adoption of modern AI/ML engineering practices and help enhance the team&rsquo;s MLOps capabilities.
 </li>
 <li>
 Develop and maintain Flask or FastAPI-based microservices for serving models and managing model APIs.
 </li>
 </ul>
 
 
 
 
 
 Minimum Required Skills:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, analytics, mathematics, statistics.
 </li>
 <li>
 Strong experience in Python, SQL, Pyspark.
 </li>
 <li>
 Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
 </li>
 <li>
 Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
 </li>
 <li>
 Proficiency in cloud platforms, specifically AWS, Azure and GCP.
 </li>
 <li>
 Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Familiarity with batch processing integration for large-scale data pipelines.
 </li>
 <li>
 Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
 </li>
 <li>
 Certifications in AWS, Azure or ML technologies are a plus.
 </li>
 <li>
 Experience with Databricks is highly valued.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work in a team-oriented, collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 Tools and Technologies:
 
 
 
 
 Model Development &amp; Tracking:
 
 TensorFlow, PyTorch, scikit-learn, MLflow, Weights &amp; Biases
 
 
 
 Model Packaging &amp; Serving:
 
 Docker, Kubernetes, FastAPI, Flask, ONNX, TorchScript
 
 
 
 CI/CD &amp; Pipelines:
 
 GitHub Actions, GitLab CI, Jenkins, ZenML, Kubeflow Pipelines, Metaflow
 
 
 
 Infrastructure &amp; Orchestration:
 
 Terraform, Ansible, Apache Airflow, Prefect
 
 
 
 Cloud &amp; Deployment:
 
 AWS, GCP, Azure, Serverless (Lambda, Cloud Functions)
 
 
 
 Monitoring &amp; Logging:
 
 Prometheus, Grafana, ELK Stack, WhyLabs, Evidently AI, Arize
 
 
 
 Testing &amp; Validation:
 
 Pytest, unittest, Pydantic, Great Expectations
 
 
 
 Feature Store &amp; Data Handling:
 
 Feast, Tecton, Hopsworks, Pandas, Spark, Dask
 
 
 
 Message Brokers &amp; Data Streams:
 
 Kafka, Redis Streams
 
 
 
 Vector DB &amp; LLM Integrations (optional):
 
 Pinecone, FAISS, Weaviate, LangChain, LlamaIndex, PromptLayer
 
</div>

Machine Learning Engineer

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Machine Learning Engineer, you&rsquo;ll be a technical leader helping architect, scale, and harden SAP&rsquo;s next generation of generative AI services. You&rsquo;ll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows&mdash;turning foundational model research into secure, production-ready enterprise solutions.
 
 
 <ul>
 <li>
 Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
 </li>
 <li>
 Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.
 </li>
 <li>
 Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP&rsquo;s GenAI Hub and third-party providers (e.g., Amazon Bedrock).
 </li>
 <li>
 Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.
 </li>
 <li>
 Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.
 </li>
 <li>
 Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.
 </li>
 <li>
 Stay at the forefront of ML/AI trends and bring best practices into the team&rsquo;s architecture and execution.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 3+ years of professional experience in machine learning engineering, software engineering, or applied research roles.
 </li>
 <li>
 Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.
 </li>
 <li>
 Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.
 </li>
 <li>
 Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).
 </li>
 <li>
 Proven track record of delivering production AI systems at scale.
 </li>
 <li>
 Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.
 </li>
 <li>
 Experience mentoring engineers and shaping engineering culture
 
 
 </li>
 </ul>
 
 Meet The Team
 
 
 
 The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research &amp; Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP&rsquo;s Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows
 
 
 At SAP, senior engineers have the chance to define architecture and strategy for some of the world&rsquo;s most impactful enterprise AI services. You&rsquo;ll shape how businesses plan, build, and visualize with AI&mdash;while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP&rsquo;s AI innovations scale securely, reliably, and responsibly
 
 
 #sapaiapp
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 434895 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Level:
 
 Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
 
 
 <ul>
 <li>
 Develop, test &amp; deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing &amp; high accuracy
 </li>
 <li>
 Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems
 </li>
 <li>
 Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency.
 </li>
 <li>
 Update and retrain models to adapt to new data and changing conditions
 
 
 </li>
 </ul>
 
 The team:
 
 
 
 At Hybrid Cloud Infrastructure we deliver solutions spanning Hybrid Cloud, Advanced Connectivity, AI Data Centers, High-Performance Computing, and AI Infrastructure to help clients achieve their desired outcomes. Our offerings include engineered transformation services for hybrid cloud infrastructure and platforms, prioritizing resiliency, optimization, and extensive automation. We integrate advanced connectivity with AI infrastructure and enterprise networks to boost operational efficiency and enable real-time data processing. Additionally, we provide comprehensive management of all facets of operations for hybrid cloud infrastructure and field operations.
 
 
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 6 years of hands-on experience in developing and deploying computer vision solutions in industrial or manufacturing settings.
 </li>
 <li>
 Hands-on leadership or significant contributions in end-to-end project execution &ndash; from data acquisition and preprocessing to model deployment and integration with OT systems.
 </li>
 <li>
 Track record of working with cross-functional teams including data scientists, control engineers, and software developers.
 </li>
 <li>
 Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods.
 </li>
 <li>
 Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems.
 </li>
 <li>
 Experience with object detection, image segmentation, feature extraction, and image classification
 </li>
 <li>
 Extensive experience with OpenCV, TensorFlow, and PyTorch for developing and deploying vision models
 </li>
 <li>
 Deep knowledge of Vision Transformer architectures and their application in industrial settings
 </li>
 <li>
 Proficiency in fine-tuning pre-trained Vision Transformer models for domain-specific tasks and edge base deployments
 </li>
 <li>
 Experience in statistical and machine learning techniques for model evaluation and improvement
 </li>
 <li>
 Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL.
 </li>
 <li>
 Good interpersonal and communication skills
 </li>
 <li>
 Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries
 </li>
 <li>
 Knowledge and experience working with Microsoft Office tools
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Problem-Solving: Strong analytical and troubleshooting skills to address client-specific challenges.
 </li>
 <li>
 Adaptability: Ability to quickly adapt to changing client requirements and emerging technologies.
 </li>
 <li>
 Project Leadership: Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction.
 </li>
 <li>
 Business Acumen: Understanding of business processes and the ability to align technical solutions with client business goals.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad
 
 
 </li>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 303048
</div>

Machine Vision Engineer-Consultant

Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 
 
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 
 
 <ul>
 <li>
 Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
 </li>
 <li>
 Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
 </li>
 <li>
 Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
 </li>
 <li>
 Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
 </li>
 <li>
 Produce reusable code according to standard methodologies in Python, Scala or Java
 </li>
 <li>
 Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
 
 
 </li>
 </ul>
 Strong Python programming skills
 
 
 
 [Good to have Skills]:
 
 
 
 <ul>
 <li>
 SQL, Data Analysis , Gaming Industry knowledge
 </li>
 </ul>
</div>

ML Engineer

Capgemini

<div>
 
 Job Description
 
 
 
 Data Scientist Description:
 
 
 Degree and Qualification:
 
 
 <ul>
 <li>
 BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in data science, AI, or a related field is preferred.
 
 
 </li>
 </ul>
 Number of Years of Experience as a Data Analyst / Scientist: 3-8 years
 
 
 Language Skills:
 
 
 <ul>
 <li>
 Good communication skills in English, proficiency in German is an added advantage.
 
 
 </li>
 </ul>
 Domain Knowledge:
 
 
 <ul>
 <li>
 Strong understanding of supply chain and supplier performance evaluation processes.
 </li>
 <li>
 Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
 </li>
 <li>
 Basic knowledge of plant logistics and operational efficiency.
 
 
 </li>
 </ul>
 Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.
 
 
 Digital Expertise:
 
 
 <ul>
 <li>
 Power BI Desktop (advanced):
 </li>
 <li>
 Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
 </li>
 <li>
 Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
 </li>
 <li>
 Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
 </li>
 <li>
 Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
 </li>
 <li>
 Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
 </li>
 <li>
 Machine Learning &amp; AI:
 </li>
 <li>
 Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
 </li>
 <li>
 Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
 </li>
 <li>
 Data Wrangling &amp; Analysis:
 </li>
 <li>
 Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Experience in PySpark for distributed data processing and large-scale data transformation.
 </li>
 <li>
 Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
 </li>
 <li>
 Communication &amp; Stakeholder Management:
 </li>
 <li>
 Ability to effectively communicate technical insights to non-technical stakeholders.
 </li>
 <li>
 Strong customer-facing communication skills and experience collaborating with cross-functional teams.
 
 
 </li>
 </ul>
 Behavioral / Personal Skills:
 
 
 <ul>
 <li>
 Willingness to learn and apply new skills.
 </li>
 <li>
 High adaptability and readiness to handle unstructured tasks.
 </li>
 <li>
 Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
 </li>
 <li>
 Team player with excellent communication and interpersonal skills.
 
 
 </li>
 </ul>
 Job Location: Bengaluru
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

Publicis Sapient

<div>
 
 
 Role:
 
 Senior Associate &ndash; Data Science &amp; Machine Learning
 
 
 
 Experience:
 
 5 to 8 Years
 
 
 
 Work Mode:
 
 Hybrid (3 days office per week)
 
 
 
 Location:
 
 Gurugram (GGN)/Bengaluru (BEN)
 
 
 
 Notice Period:
 
 
 Immediate to 2 weeks ONLY
 
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced
 
 Data Science &amp; Machine Learning Engineer
 
 who can design, build, and deploy advanced ML and AI-driven solutions. This role demands deep technical expertise in ML algorithms, deep learning architectures, LLMs, and model operationalization on cloud platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build predictive models using classification, regression, clustering, and time-series techniques.
 </li>
 <li>
 Perform feature engineering, algorithm selection, hyperparameter tuning, and model evaluation.
 </li>
 <li>
 Build
 
 deep learning models
 
 using PyTorch or TensorFlow (CNNs, RNNs, transformers).
 </li>
 <li>
 Develop
 
 GenAI applications
 
 using embeddings, LLMs, prompt engineering, RAG pipelines, LangChain, LlamaIndex, HuggingFace models.
 </li>
 <li>
 Design and implement
 
 end-to-end ML pipelines
 
 from ingestion to deployment.
 </li>
 <li>
 Build scalable data pipelines and work with cloud-based ML platforms (AWS/GCP/Azure ML).
 </li>
 <li>
 Deploy, monitor, and maintain ML models using
 
 MLOps tools
 
 and CI/CD workflows.
 </li>
 <li>
 Work closely with product and engineering teams to integrate ML solutions.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Skills
 
 
 <ul>
 <li>
 Strong fundamentals:
 
 Statistics, Probability, Linear Algebra, Optimization
 
 </li>
 <li>
 Machine Learning:
 </li>
 <li>
 Classification, Regression, Clustering
 </li>
 <li>
 Model evaluation (AUC, F1, Recall, ROC curves)
 </li>
 <li>
 Cross-validation, bias-variance trade-off
 </li>
 <li>
 Deep Learning:
 </li>
 <li>
 CNNs, RNNs, Transformers
 </li>
 <li>
 Hands-on PyTorch / TensorFlow
 </li>
 <li>
 GenAI &amp; NLP:
 </li>
 <li>
 LLMs (GPT, LLaMA, Claude, etc.)
 </li>
 <li>
 Embeddings, RAG, vector databases
 </li>
 <li>
 Prompt engineering, model fine-tuning
 </li>
 <li>
 Programming:
 </li>
 <li>
 
 Python (NumPy, Pandas, Scikit-learn)
 
 </li>
 <li>
 
 PyTorch/TensorFlow
 
 </li>
 <li>
 
 SQL
 
 </li>
 <li>
 MLOps:
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Model deployment &amp; monitoring
 </li>
 <li>
 Lifecycle management
 </li>
 <li>
 Version control (Git) and cloud ML platforms (AWS/GCP/Azure)
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Hugging Face models
 </li>
 <li>
 Knowledge of Docker/Kubernetes
 </li>
 <li>
 Exposure to reinforcement learning
 </li>
 <li>
 Experience with A/B testing or experimentation frameworks
 </li>
 </ul>
 
 
 
 
 
 Required Candidate Information
 
 
 
 (For screening &ndash; mandatory)
 
 <ul>
 <li>
 Total Experience
 </li>
 <li>
 Relevant DS/ML Experience
 </li>
 <li>
 Current CTC
 </li>
 <li>
 Expected CTC
 </li>
 <li>
 Notice Period (
 
 Immediate &ndash; 2 weeks only
 
 )
 </li>
 <li>
 Current Location
 </li>
 <li>
 Preferred Location
 </li>
 <li>
 LinkedIn Profile URL
 </li>
 </ul>
 
 
 
 
 
 How to Apply
 
 
 
 Send your updated CV to:
 
 
 📩
 
 Vijay.S@xebia.com
 
 
</div>

Senior Associate – Data Science & Machine Learning

Tata Consultancy Services

<div>
 
 
 Job Title -
 
 Control System Engineer
 
 
 Location - Bangalore / Chennai / Pune
 
 
 
 Relevant Experience (in Yrs) -
 
 5 - 10 years (More is also okay)
 
 
 
 
 
 
 Technical/Functional Skills
 
 
 
 Controls Engineering Knowledge - Applies the application of controls hardware and software by specifying, reviewing, and approving company-owned and/or supplier designs for new or upgrades to existing equipment to interface with all levels of manufacturing systems.
 
 
 Controls Networking - Implements new and improved technologies and methods capable of transferring information from multiple inputs either within a local production process or into databases to link machines together or to analyze the process for overall operation enhancements.
 
 
 Controls Safety - Recognizes controls related hazards in a manufacturing environment (Electrical, Hydraulic, Pneumatic) to incorporate safe practices and procedures as part of the daily work plan to reduce injuries and create a safe machine environment.
 
 
 Electrical System Troubleshooting - Analyzes an electrical control system to resolve and repair electrical issues to return the system to proper operating conditions.
 
 
 Factory Automation and Control Systems - Implements changes to further automate manufacturing processes using available technology, programming techniques, and identifying needed material and resources for project completion to provide the optimum automation for the manufacturing environment.
 
 
 Machine Programming - Creates factory floor machine programs by designing and implementing solutions to improve usage of machine and overall operation.
 
 
 Health and Safety Fundamentals - Champions and models proactive health and safety behaviors by identifying, reporting and participating in actions to improve health and safety in order to build an interdependent culture and contribute to an injury-free workplace.
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 Develops and designs control systems; develops and implements bench tests; alters software and equipment to ensure that sensors and actuators are functioning according to specifications; supports and debugs complex problems and change requests. Prepares cost estimates; compiles required cost and equipment information, and writes and reviews appropriation requests. Investigates problems and requirements of projects, and develops plans for solutions in line with economic, personnel, and environmental considerations. May be responsible for the installation and technical support of Programmable Logic Controller (PLC) based hardware and software. Coaches and mentors less experienced Controls Engineers
 
 
 
 
 
 
 Generic Managerial Skills
 
 
 
 Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
 
 
 
 
 
 
 Education
 
 
 
 College, university, or equivalent degree required. This position may require licensing for compliance with export controls or sanctions regulations.
 
</div>

Control System Engineer

Explore 161+ Machine engineer in Mangaluru this November. Find roles across top companies and apply now to boost your career.

161 machine engineer jobs IN Mangaluru

Machine Learning Engineer

Machine Learning Engineer

Machine Vision Engineer-Consultant

ML Engineer

Data Scientist Engineer

Senior Associate – Data Science & Machine Learning

Control System Engineer